Invoca

Lead and grow the AI Platform team, manage delivery and operational health, and partner across teams on roadmaps for internal AI development tools. | Requires 8+ years of software engineering experience, 3+ years of management experience, backend or infrastructure focus, modern AI systems fluency, and data-driven engineering delivery. | ABOUT INVOCA Invoca is an AI-powered revenue execution platform that brings together marketing, commerce, and contact center teams to turn every customer interaction into measurable, profitable growth. Join our dynamic, fast-growing team, where innovation and collaboration are at the core of our culture. ABOUT THE TEAM Invoca is building an agentic development environment, one where software is designed, written, tested, deployed, and operated with AI as a first-class collaborator. The AI Platform team is what makes that real for the rest of R&D. The team owns the shared infrastructure that AI-powered products and agentic workflows are built on: paved paths and starter kits for MCP-based integrations, agent workflow configuration and policy, machine-to-machine identity and access, evaluation and telemetry, and the engineering analytics that tell us whether any of it is actually working. This is a platform with customers. Its users are Invoca's own engineers, and its product is the speed, safety, and trust with which the whole company ships AI. ABOUT THE ROLE We're hiring an Engineering Manager to lead the AI Platform team. You'll manage a team of [6-8] engineers and own its delivery, operational health, and growth, reporting to the AI Engineering leadership. You'll inherit a team with real traction: platform components already adopted by peer teams, delivery instrumented with DORA-style analytics, and governance work in flight. Your job is to compound that. Grow the team, keep the platform trustworthy as its surface area expands, and turn adoption from early wins into the default way Invoca builds with AI. This is a management role with technical teeth. You won't be the primary author of the architecture, but you need enough fluency in modern AI systems to hold a high bar in design reviews, pressure-test tradeoffs, and earn the trust of senior engineers. WHAT YOU'LL DO Lead and grow the team * Manage, coach, and develop the engineers on the AI Platform team: clear expectations, honest feedback, real career growth. * Hire senior talent in a competitive market, and own candidate experience that top-tier passive candidates say yes to: tight loops, prepared interviewers, fast decisions. * Build a culture of ownership and craft, where engineers use the agentic tools they build. Own platform outcomes, not roadmap items * Treat the platform as a product with internal users: define adoption goals, instrument them, and measure whether teams are actually better off because of your team's work. * Partner with the Engineering and Product teams and architects on roadmap and priorities, and represent the platform in R&D planning. * Favor paved paths and shared standards (ADRs, templates, reference implementations) over one-off, team-specific solutions. Run delivery with data * Own delivery health using DORA-style metrics and flow analysis. Our own analysis shows cycle time variation is driven mostly by queueing, not ticket difficulty; we expect you to manage flow and WIP, not just push effort. * Make delivery predictable: honest estimates, visible risks, no surprise slips. * Identify where high-volume, low-difficulty toil concentrates, and automate it. Build trust into the platform * Ship access controls, audit trails, and policy guardrails as first-class platform capabilities, not afterthoughts. Platform trust is the product. * Embed operational rigor: incident management, on-call health, observability, and honest postmortems. * Partner with Security and Infrastructure so governance keeps pace with capability. * Hold high engineering standards, maintain platform SLOs, and make it easy to adopt and scale with a trustworthy platform Champion the agentic development era * Make your own team the reference implementation of AI-assisted engineering: agentic coding workflows, automated review gates, AI in the SDLC as habit rather than demo. * Drive adoption of AI development tooling across R&D, moving teams from awareness to daily use, with an operator's playbook rather than a mandate. WHAT WE'RE LOOKING FOR * 8+ years in software engineering, including meaningful hands-on years building backend, platform, or infrastructure systems, and 3+ years managing engineers. * Experience leading a platform, infrastructure, or developer-experience team whose customers are internal engineers, with a track record of driving measurable adoption. * Working fluency in modern AI systems: LLM APIs, agent orchestration, MCP or similar integration protocols, evaluation, and telemetry. Enough depth to hold a technical bar; you don't need to be a researcher. * Data-driven delivery management: you've used DORA metrics or equivalent to find and fix real bottlenecks, and you understand flow. * Operational and security mindset: you've owned production services, run incident response, and treat access control and auditability as design requirements. * Demonstrated success hiring and retaining senior engineers. * Direct, calibrated communication with engineers and executives alike: honest characterization over spin, risks surfaced early. * High ownership in ambiguous, fast-moving territory. HOW SUCCESS WILL BE MEASURED Success in this role will look like: * The majority of product teams building AI features do so on your team's paved paths, and platform telemetry, not anecdote, proves it. * Delivery is predictable and measurably improving, with queues managed and toil visibly automated away. * Every platform surface ships with access control, audit, and policy guardrails in place, and no incident is attributable to their absence. * AI-assisted development is a daily habit inside your team and spreading across R&D. * The team is retained, growing, and hiring well, and engineers name their manager as a reason they stay. 📍 Location: This is a remote-first role. We are currently hiring in the following locations: 📍 United States: Greater Los Angeles Area (including Santa Barbara and San Diego) · SF Bay Area · Denver Metro · Austin Metro · Chicago Metro · Greater NYC Area · Seattle Metro Candidates must be based within ~2 hour drive of these areas. Occasional business travel may be required. COMPENSATION, BENEFITS & PERKS: At Invoca, we believe great work starts with taking care of our people. That's why we offer competitive compensation and benefits designed to support your health, your family, your growth, and your life outside of work. For teammates in the U.S., health benefits begin on your first day of employment. COMPENSATION * Base Salary: $175,000–$275,000* * Variable Compensation: Bonus and/or commission eligibility, where applicable. * Equity: All employees are invited to share in Invoca's success through our stock option program. *Actual compensation will depend on factors including experience, skills, and location. BENEFITS & PERKS HEALTH & WELLBEING * Day-One Health Benefits – Medical, dental, and vision coverage begins on your first day of employment for U.S.-based teammates. * Mental Wellbeing – Access to mental wellbeing support and an Employee Assistance Program (EAP). * Wellness Subsidy – Reimbursement that can be applied toward gym memberships, fitness classes, and more. TIME AWAY * Flexible Time Off – We encourage a healthy work-life balance. Our flexible paid time off policy gives you the flexibility to recharge and take time away when you need it. * Paid Holidays – Invoca provides 20 U.S. paid holidays, including a winter break, giving you time to rest, recharge, and spend time with friends and family. * Paid Family Leave – Up to 12 weeks of 100% paid leave for baby bonding, adoption, and caring for family members.* * Paid Medical Leave – Up to 12 weeks of 100% paid leave for childbirth and medical needs.* GROWTH & CAREER * Enterprise-Grade AI Tools – Access to industry-leading enterprise AI tools, including leading LLMs and agentic AI workflow solutions to help you maximize productivity and work more effectively. * Professional Development – Annual reimbursement of up to $1,000 per fiscal year to support learning, certifications, conferences, and other professional development opportunities. FINANCIAL BENEFITS * 401(k) – Invoca offers a 401(k) plan through Fidelity with a company match of up to 4%.* RECOGNITION & COMMUNITY * Recognition Programs – We celebrate great work through company-wide and team recognition programs, including President's Club and quarterly and departmental awards recognizing innovation, execution, and customer impact. * InVacation (Sabbatical) – As a thank-you to our long-term team members, we offer a sabbatical after seven years of service. *Some benefits may vary for teammates outside the U.S. based on local laws, regulations, and country-specific offerings.

Lead and manage a team responsible for infrastructure platform evolution, reliability, and AI-enabled development workflows. | 5+ years hands-on SRE/DevOps experience, 3+ years managing infrastructure teams, deep knowledge of cloud, Kubernetes, Terraform, observability, and AI in infrastructure. | Sr Manager, Site Reliability Engineering About Invoca Invoca is an AI-powered revenue execution platform that brings together marketing, commerce, and contact center teams to turn every customer interaction into measurable, profitable growth. Join our dynamic, fast-growing team, where innovation and collaboration are at the core of our culture. About The Team Reliability Engineering builds and runs the platform the rest of Invoca ships on. Real-time call routing, audio processing, transcription, and data storage all run on the infrastructure this team owns, across the US and EU, under PCI, SOC 2, and ISO obligations. Invoca believes in service ownership. Engineering teams are on call 24/7 for what they build, not just SRE. Leadership acts as an escalation point and joins the incident commander rotation roughly two days per month. About The Role Invoca is building an agentic development environment, one where software is designed, written, tested, deployed, and operated with AI as a first-class collaborator. Infrastructure is where that gets real or doesn't: agents move fast, and the platform underneath them is what makes that safe. The fastest-growing consumer of infrastructure operations isn't a person clicking through a portal, it's software. That’s what we’re building for. You help shape where it goes next. Getting there starts with shedding weight: finding where we can leverage partners and managed services, building self-service paths engineers and agents can both use safely, and retiring what we shouldn't be running at all. This is not a caretaking role. You'd inherit a capable team with deep knowledge of our systems, being asked to work differently than it has. You bring outside perspective: you've built and run infrastructure teams elsewhere and you arrive with a specific point of view on what great looks like. This position reports to the Senior Director, Infrastructure & Security. What you'll do Lead the evolution of Invoca's infrastructure • Decide what we run and what we don't. We keep a system in-house only when it differentiates us. Apply that test system by system and find the right home. • Land the move from self-hosted to managed Kubernetes making sure the operational expertise stays with us. • Reduce what the team carries operationally so capacity goes toward building and not maintenance. • Own the technical direction for the platform your team runs, partnering with Developer Enablement, Infosec, and architecture where decisions reach beyond it. Lead the team and own the 3-month delivery plan • Lead a team of 8 SREs with deep systems knowledge. Set a clear bar, give people the feedback and context to hit it, and invest in the growth of the team. • Own and execute the rolling 3-month delivery plan: translate infrastructure strategy into clear priorities, navigate ambiguity, and hold full accountability for shipping high-impact work. • Represent SRE where infrastructure decisions get made, and be in architecture and planning conversations before your team is needed. • Work alongside a leadership team including a tech lead, architect, and your engineering management cohort to solve problems bigger than any one team. Build infrastructure with agents in mind • Drive a pipeline, not a bottleneck. Work the team does on another team's behalf becomes a callable API with a policy decision attached — invoked by an agent or a person with the same governance and the same audit trail. • Extend policy and scanning controls so agent-driven infrastructure change is safe by default rather than safe by review. • Define clean boundaries and contracts between infrastructure and the product teams that build on it. • Win on adoption, not mandate. The path with policy and audit attached has to also be the fastest one available for an agent or a person. Build for the agentic development era • Use AI and agentic workflows in how the team builds and operates infrastructure: agent-assisted development, automated incident detection and triage, self-healing deployments, drift and policy detection. • Establish safe, observable, and auditable ways to bring AI into how we build and run infrastructure, and help the teams around you adopt them with confidence. Standardize and multiply engineering leverage • Build shared practices and tooling for infrastructure that every team can adopt, replacing one-off, team-specific approaches. • Treat infrastructure as a product with internal users: define adoption goals and measure whether teams are actually better off because of your work. Connect the infrastructure to business outcomes • Translate technical decisions in the platform into terms leadership and product teams care about: velocity, cost, risk, customer trust, and revenue impact. • Partner with engineering and product leadership to prioritize your work based on measurable business and customer impact, not technical elegance alone. What we're looking for We're looking for an operator who moved into leadership: someone who has grown infrastructure teams, holds a high bar, and is deeply invested in the people on them. You're the right shape for this role if you have: • 5+ years hands-on in an SRE, DevOps, systems, or infrastructure engineering role, and 3+ years directly managing teams in one of those disciplines. • Real depth across the platforms we run on: • Cloud infrastructure in AWS/GCP • Kubernetes • Infrastructure as code (Terraform) and policy-as-code for governing it • GitOps and continuous delivery (ArgoCD and Atlantis) • Observability (Prometheus, Grafana, ELK) • Linux (configured via Chef) • MySQL • Strong opinions about infrastructure design and automation, held with an open mind, and the judgment to use both what exists today and where the industry is heading to guide decisions. • Significant experience as a hiring manager — you know what strong looks like at this level because you've hired it — and a track record of inheriting a team and raising its performance through development, hiring, and clear expectations. • You can work alongside highly skilled external specialists, able to hold your own technically, and can hold them to a high bar. • A working point of view on AI in infrastructure work: where it genuinely accelerates the work and where it doesn't, what output you can trust and what needs a gate, and how to raise a whole team's fluency rather than leaving it to individuals. • Effective in a remote-first, asynchronous culture, and able to report complex technical progress in terms a non-engineering audience can act on. How you work • Direct and kind. You say the hard thing in the room, not afterward, and you receive feedback the same way. • High agency. You act without waiting for permission on reversible decisions and own the outcome either way. No work is beneath you. • You raise the bar. You think from first principles rather than accepting how things have been done, and you don't reward work that's merely fine. • You make it safe to not know. A high bar and a safe team are not in tension — people have to be able to ask, dissent, and be wrong without paying for it, or you never hear the thing you needed to hear. Nobody is made small for the gap between where they are and where the bar is. • You bring intensity. Deadlines in days where the work allows, a rough first version to get real feedback, risk flagged early, and you finish what you start. • You dig for the real problem. When someone asks for something, you understand what they're trying to accomplish before responding. • You disagree productively and commit fully. Decisions you deliver to your team are yours, not something handed down. How success will be measured Within 12 months, success in this role will look like: • The team's performance is legible without you in the room. Reliability, delivery, and operational load metrics are reviewed regularly and someone outside SRE could tell whether the team and the platform had a good month. • When asked, internal customers are delighted when using our infrastructure and working with our team. • The team builds for those using the platform, not those running it. What gets prioritized traces back to what other teams actually need, dates are met reliably enough that people plan around them, and the volume of work routed to your team for execution has materially dropped. • Agents are a first-class consumer of the platform. Routine infrastructure change happens through interfaces a person or an agent uses identically, with the same identity, policy, and audit trail. • Capacity freed by the platform transition went somewhere visible — reinvested in work the team chose, not absorbed into maintenance that grew to fill it. • The team’s work has a demonstrable, articulable connection to business or customer outcomes. 📍 Location: This is a remote-first role. We are currently hiring in the following locations: 📍 United States: Greater Los Angeles Area (including Santa Barbara and San Diego) • SF Bay Area • Denver Metro • Austin Metro • Chicago Metro • Greater NYC Area • Seattle Metro Candidates must be based within ~2 hour drive of these areas. Occasional business travel may be required. Compensation, Benefits & Perks At Invoca, we believe great work starts with taking care of our people. That's why we offer competitive compensation and benefits designed to support your health, your family, your growth, and your life outside of work. For teammates in the U.S., health benefits begin on your first day of employment. Compensation • Base Salary: $190,000–$250,000* • Variable Compensation: Bonus and/or commission eligibility, where applicable. • Equity: All employees are invited to share in Invoca's success through our stock option program. • Actual compensation will depend on factors including experience, skills, and location. Benefits & Perks Health & Wellbeing • Day-One Health Benefits – Medical, dental, and vision coverage begins on your first day of employment for U.S.-based teammates. • Mental Wellbeing – Access to mental wellbeing support and an Employee Assistance Program (EAP). • Wellness Subsidy – Reimbursement that can be applied toward gym memberships, fitness classes, and more. Time Away • Flexible Time Off – We encourage a healthy work-life balance. Our flexible paid time off policy gives you the flexibility to recharge and take time away when you need it. • Paid Holidays – Invoca provides 20 U.S. paid holidays, including a winter break, giving you time to rest, recharge, and spend time with friends and family. • Paid Family Leave – Up to 12 weeks of 100% paid leave for baby bonding, adoption, and caring for family members.* • Paid Medical Leave – Up to 12 weeks of 100% paid leave for childbirth and medical needs.* Growth & Career • Enterprise-Grade AI Tools – Access to industry-leading enterprise AI tools, including leading LLMs and agentic AI workflow solutions to help you maximize productivity and work more effectively. • Professional Development – Annual reimbursement of up to $1,000 per fiscal year to support learning, certifications, conferences, and other professional development opportunities. Financial Benefits • 401(k) – Invoca offers a 401(k) plan through Fidelity with a company match of up to 4%.* Recognition & Community • Recognition Programs – We celebrate great work through company-wide and team recognition programs, including President's Club and quarterly and departmental awards recognizing innovation, execution, and customer impact. • InVacation (Sabbatical) – As a thank-you to our long-term team members, we offer a sabbatical after seven years of service. • Some benefits may vary for teammates outside the U.S. based on local laws, regulations, and country-specific offerings.

Define and build next-generation AI experiences by prototyping and executing user journeys across multiple pillars. | 8+ years in product design or frontend engineering with strong portfolio and AI-powered workflow experience. | Who we are Invoca is the revenue infrastructure platform for consumer brands. We help our customers turn digital and human interactions into measurable, profitable growth. We’re building at the intersection of AI, data, and customer experience, helping companies across healthcare, financial services, travel, hospitality, home services, automotive, retail & e-commerce understand customer conversations and turn those insights into action. Our mission is to drive revenue for our customers through experiences that are intelligent, authentic, and empathetic. About the team At Invoca, we are powering the era of the agentic enterprise across revenue-driven conversational intelligence. To usher in this new era, we are looking for AI-native thinkers and executors across every function. We look for collaborative, curious, and innovative individuals who thrive in dynamic, fast-moving environments and bring an experimental mindset to their work—rapidly testing ideas, learning quickly, and constantly looking for simpler, more delightful experiences for every user. About the role You will be joining a strong, high performing AI native design team organized into three pillars: Platform, Intelligence & Analytics, and Conversational Agentic Experiences (Voice & SMS). As a Staff Design Engineer, you’ll work horizontally across all three pillars to define and build the next generation of Invoca experiences. You’ll concept, prototype, and build—from early ideas to production experiences—using design, code, AI, and emerging technologies as creative tools. This role has two areas of ownership: * Define AI experience paradigms Shape how customers and partners interact across our product areas, including agents, conversational intelligence experiences, copilots, and emerging interaction models. Explore new technologies and protocols, including A2UI, and translate them into experiences that are useful, intuitive, and trustworthy. * Define and execute horizontal user journeys Own high-impact experiences that span our product pillars and directly influence adoption, new logo activation, and engagement—including onboarding, evaluation experiences, billing, and other critical customer journeys. This is as much a strategy role as it is an execution role. You’ll partner as a peer with Product and Engineering to directly influence how customers discover, adopt, understand, and get value from Invoca. You’ll also partner closely with your peers within the design team and the Head of Product Design to create abstractions and patterns that other designers and engineers can build upon. You’ll bring a high bar for craft while contributing to our evolving design systems and libraries. You’ll know when to leverage existing patterns, when to extend them, and when to create something entirely new. WHAT YOU’LL DO Explore and prototype the future using code, AI, and emerging technologies—including evolving protocols such as A2UI. * Spot the P0 problems other people haven't seen yet, and make the case for why they matter without being handed a brief. * Bring energy and craft to build horizontal experiences that make complex workflows feel simple, particularly across AI, data, analytics, and revenue workflows. * Partner closely with our design system team to create reusable components, interaction patterns, and abstractions that scale across products. * Partner closely with Engineering on frontend architecture, implementation quality and accessibility. * Raise the bar for craft across interaction design, visual design, motion, and product quality. * Influence product direction beyond your immediate team through strong product judgment, technical expertise, and vision. * Mentor and elevate others around you just by how you work, no direct reports required. WHO YOU ARE: You’re equally energized by designing an interaction and building it. You may have started in product design and become deeply technical, or started in engineering and developed exceptional product and design instincts. You know when to use design, when to write code, and when to bring the two together. You come with -  * Product thinking: You connect design and technology decisions to customer outcomes and business impact. * Craft: You have a high bar for interaction, visual design, and implementation quality, with a portfolio that demonstrates it. * Systems thinking: You naturally look for patterns, abstractions, and opportunities to make good solutions scalable. * AI fluency: You actively experiment with AI and have experience working with agentic workflows and emerging interaction models. * High agency: You navigate ambiguity, create clarity, and move work forward without waiting for direction. * Team impact: You think beyond your own work and proactively raise the capabilities, quality, and craft of the people around you. * Collaboration: You communicate clearly and work effectively across Product, Design, and Engineering. MINIMUM REQUIREMENTS * 8+ years of experience across product design, design engineering, frontend engineering, or a related discipline. * Strong understanding of responsive design, accessibility, performance, and frontend architecture demonstrated through a design portfolio or GitHub link or similar tools.  * Experience designing AI-powered or AI-native products, particularly agents, conversational interfaces, or intelligent workflows ideally with agentic development tools to accelerate product delivery.  * Significant experience designing and shipping production web applications. * Experience supporting or evolving design systems, component architectures, and reusable patterns. * Strong understanding of responsive design, accessibility, performance, and frontend architecture. PREFERRED QUALIFICATIONS * Knowledge of modern frontend technologies such as React, TypeScript, JavaScript, HTML, and CSS. * Experience with complex enterprise, data-rich, analytics, or workflow products. * Experience with animation, advanced interaction and data visualization. * Experience establishing Design Technologist or Design Engineering practices. * Experience with A/B testing and accessibility What success looks like In your first 3 months, you will have: * Established a point of view on emerging AI experience paradigms at Invoca. * Built relationships and credibility across Product, Design, and Engineering. * Redesigned and shipped 2 high-impact end to end horizontal opportunities within the Invoca product platform showcasing strong visual design and implementation quality.  * Introduced patterns, paradigms or abstractions that improve the quality and consistency of the end product.  * Raised the bar for craft and technical execution by accelerating the path from design to shipped experience. 📍 Location: This is a remote-first role. We are currently hiring in the following locations with a preference for talent located in the SF Bay Area: 📍 United States: Greater Los Angeles Area (including Santa Barbara and San Diego) · SF Bay Area · Denver Metro · Austin Metro · Chicago Metro · Greater NYC Area · Seattle Metro Candidates must be based within ~2 hour drive of these areas. Occasional business travel may be required. COMPENSATION, BENEFITS & PERKS: At Invoca, we believe great work starts with taking care of our people. That's why we offer competitive compensation and benefits designed to support your health, your family, your growth, and your life outside of work. For teammates in the U.S., health benefits begin on your first day of employment. COMPENSATION * Base Salary: $175,000–$230,000* * Variable Compensation: Bonus and/or commission eligibility, where applicable. * Equity: All employees are invited to share in Invoca's success through our stock option program. *Actual compensation will depend on factors including experience, skills, and location. BENEFITS & PERKS HEALTH & WELLBEING * Day-One Health Benefits – Medical, dental, and vision coverage begins on your first day of employment for U.S.-based teammates. * Mental Wellbeing – Access to mental wellbeing support and an Employee Assistance Program (EAP). * Wellness Subsidy – Reimbursement that can be applied toward gym memberships, fitness classes, and more. TIME AWAY * Flexible Time Off – We encourage a healthy work-life balance. Our flexible paid time off policy gives you the flexibility to recharge and take time away when you need it. * Paid Holidays – Invoca provides 20 U.S. paid holidays, including a winter break, giving you time to rest, recharge, and spend time with friends and family. * Paid Family Leave – Up to 12 weeks of 100% paid leave for baby bonding, adoption, and caring for family members.* * Paid Medical Leave – Up to 12 weeks of 100% paid leave for childbirth and medical needs.* GROWTH & CAREER * Enterprise-Grade AI Tools – Access to industry-leading enterprise AI tools, including leading LLMs and agentic AI workflow solutions to help you maximize productivity and work more effectively. * Professional Development – Annual reimbursement of up to $1,000 per fiscal year to support learning, certifications, conferences, and other professional development opportunities. FINANCIAL BENEFITS * 401(k) – Invoca offers a 401(k) plan through Fidelity with a company match of up to 4%.* RECOGNITION & COMMUNITY * Recognition Programs – We celebrate great work through company-wide and team recognition programs, including President's Club and quarterly and departmental awards recognizing innovation, execution, and customer impact. * InVacation (Sabbatical) – As a thank-you to our long-term team members, we offer a sabbatical after seven years of service. *Some benefits may vary for teammates outside the U.S. based on local laws, regulations, and country-specific offerings.

Provide technical leadership and design scalable data pipelines integrating AI workflows for the Data Platform team. | 8+ years software engineering with data platform and technical leadership experience, Databricks or lakehouse architecture, and AI-driven systems expertise required. | ABOUT INVOCA Invoca is an AI-powered revenue execution platform that brings together marketing, commerce, and contact center teams to turn every customer interaction into measurable, profitable growth. Join our dynamic, fast-growing team, where innovation and collaboration are at the core of our culture. ABOUT THE ROLE At Invoca, AI is central to our engineering strategy. We are cultivating an agentic development ecosystem where artificial intelligence serves as an integral core partner in designing, building, testing, launching, and managing software. The Data Platform team builds and innovates on Invoca's core data infrastructure and analysis tooling. Teams across the company depend on it to turn call and SMS conversations, and the marketing signals around them, into reliable, near real-time intelligence. We also supply the context the AI agents across Invoca's platform run on, and we work on the Data Intelligence products that put that data to work for customers. We are seeking a Staff Software Engineer to provide technical leadership for the Data Platform team. In this role, you will help establish strategic technical direction and drive the team's rolling 3-month delivery plan, turning roadmap goals into executable, high-impact releases. Success here is measured by outcomes, not activity: how reliable and timely our data is, how quickly downstream teams can build on the platform, and how consistently the team's plan turns into delivered work. WHAT YOU'LL DO: BUILD THE DATA PLATFORM * Define and evolve the technical vision for Invoca's data platform across all product teams. * Design and build the ingestion, streaming, and transformation pipelines that bring call and SMS conversation data and marketing signals into the lakehouse. * Evolve the lakehouse architecture and the core data analysis tooling teams use to explore, query, and report on that data. * Ensure product teams can safely and easily build on our data without deep data infrastructure expertise. * Continuously identify where shared platform investments can unlock new product capabilities or eliminate duplicated engineering effort. LEAD THROUGH TECHNICAL INFLUENCE & OWN THE 3-MONTH DELIVERY PLAN * Provide overarching architectural direction for the Data Platform across ingestion, transformation, and serving layers while raising the engineering bar through mentoring, design reviews, and hands-on guidance. * Own and execute the rolling 3-month delivery plan: translate roadmap strategy into clear priorities, navigate ambiguity, and maintain full accountability for shipping high-impact technical outcomes. * Drive alignment across engineering and product teams through clear technical reasoning, simplifying complex systems, and serving as a trusted advisor to senior leadership. MAKE OUR DATA THE CONTEXT LAYER FOR INVOCA'S AGENTS * Build the systems that let the AI agents running in Invoca's platform use our data as context — retrieval, freshness, structure, and governance of the data those agents depend on. * Work on Invoca's Data Intelligence products, like Atlas, our data agent, turning platform capability into intelligence customers can act on. * Define clean boundaries and contracts between the data platform and the agent and product teams that build on it. BUILD IN THE AGENTIC DEVELOPMENT ERA * Use AI and agentic workflows in how the team builds and operates the platform: agent-assisted development, adaptive pipeline orchestration, automated data quality checks, anomaly detection, and self-healing jobs. * Establish safe, observable, and auditable ways to bring AI into how we build and run data workflows, and help the teams around you adopt them with confidence. STANDARDIZE AND MULTIPLY ENGINEERING LEVERAGE * Build shared data platform practices, tooling, and self-service capability (pipeline frameworks, data contracts, lakehouse standards) that other teams adopt instead of one-off approaches. * Treat the data platform as a product with internal users: define adoption goals and measure whether teams are actually better off because of your work. * Drive direction and standards for data architecture and pipeline design across the teams that depend on the platform, influencing through clarity, judgment, and evidence. CONNECT THE PLATFORM TO BUSINESS OUTCOMES * Translate data platform decisions into terms leadership and product teams care about: data freshness, reliability, cost, and the speed at which downstream teams can ship. * Partner directly with product engineering, analytics, and data science teams — the platform's primary internal customers — to prioritize the 3-month plan based on measurable business and customer impact, not technical elegance alone. WHAT WE'RE LOOKING FOR: We're looking for a Staff-level engineer with the experience and judgment to take on technical leadership for our Data Platform team. You likely have: * 8+ years of software engineering experience with deep expertise in data platform, infrastructure, or backend systems, and a track record of measurable impact in production environments. * Proven technical leadership background: establishing team vision and architecture, managing an iterative delivery roadmap, and taking accountability for successful releases. * Hands-on experience with Databricks or a comparable lakehouse platform, plus modern pipeline orchestration tooling, strongly preferred. * Experience serving data to AI systems as context — retrieval, embeddings, feature or context serving, or similar — is a strong plus. * Experience building data systems, tools, or practices that were adopted broadly because they demonstrably improved speed, quality, reliability, or safety. * Experience building AI tools and agentic workflows, and a track record of practically applying new tools rather than just being interested in them. * Strong technical judgment with a bias toward simplicity and adoption over theoretical completeness. * Ability to connect technical work to business and customer outcomes, and to communicate that connection clearly. * Experience partnering across engineering, product, and business functions. * High ownership mindset, curiosity, and urgency in a fast-moving, evolving technical environment. HOW YOU WORK: * Direct and kind. You say the hard thing in the room, not afterward, and you receive feedback the same way. * High agency. You act without waiting for permission on reversible decisions and own the outcome either way. No work is beneath you. * You raise the bar. You think from first principles rather than accepting how things have been done, and you don't reward work that's merely fine. * You make it safe to not know. A high bar and a safe team are not in tension — people have to be able to ask, dissent, and be wrong without paying for it, or you never hear the thing you needed to hear. Nobody is made small for the gap between where they are and where the bar is. * You bring intensity. Deadlines in days where the work allows, a rough first version to get real feedback, risk flagged early, and you finish what you start. * You dig for the real problem. When someone asks for something, you understand what they're trying to accomplish before responding. HOW SUCCESS WILL BE MEASURED: Within 12 months, success in this role will look like: * The data platform shows clear, measurable improvement in the outcomes it's meant to drive: data quality, reliability, delivery speed, and architectural coherence. * Practices or platforms you've built are adopted broadly across engineering, not just within your immediate team. * AI and agentic workflows are meaningfully integrated into the data platform, with clear safety and observability in place. * Engineering and product leadership treat you as a trusted authority in the data platform domain. * Your work has a demonstrable, articulable connection to business or customer outcomes. 📍 Location: This is a remote-first role. We are currently hiring in the following locations: 📍 United States: Greater Los Angeles Area (including Santa Barbara and San Diego) · SF Bay Area · Denver Metro · Austin Metro · Chicago Metro · Greater NYC Area · Seattle Metro Candidates must be based within ~2 hour drive of these areas. Occasional business travel may be required. COMPENSATION, BENEFITS & PERKS: At Invoca, we believe great work starts with taking care of our people. That's why we offer competitive compensation and benefits designed to support your health, your family, your growth, and your life outside of work. For teammates in the U.S., health benefits begin on your first day of employment. COMPENSATION * Base Salary: $152,000–$228,000* * Variable Compensation: Bonus and/or commission eligibility, where applicable. * Equity: All employees are invited to share in Invoca's success through our stock option program. *Actual compensation will depend on factors including experience, skills, and location. BENEFITS & PERKS: HEALTH & WELLBEING * Day-One Health Benefits – Medical, dental, and vision coverage begins on your first day of employment for U.S.-based teammates. * Mental Wellbeing – Access to mental wellbeing support and an Employee Assistance Program (EAP). * Wellness Subsidy – Reimbursement that can be applied toward gym memberships, fitness classes, and more. TIME AWAY * Flexible Time Off – We encourage a healthy work-life balance. Our flexible paid time off policy gives you the flexibility to recharge and take time away when you need it. * Paid Holidays – Invoca provides 20 U.S. paid holidays, including a winter break, giving you time to rest, recharge, and spend time with friends and family. * Paid Family Leave – Up to 12 weeks of 100% paid leave for baby bonding, adoption, and caring for family members.* * Paid Medical Leave – Up to 12 weeks of 100% paid leave for childbirth and medical needs.* GROWTH & CAREER * Enterprise-Grade AI Tools – Access to industry-leading enterprise AI tools, including leading LLMs and agentic AI workflow solutions to help you maximize productivity and work more effectively. * Professional Development – Annual reimbursement of up to $1,000 per fiscal year to support learning, certifications, conferences, and other professional development opportunities. FINANCIAL BENEFITS * 401(k) – Invoca offers a 401(k) plan through Fidelity with a company match of up to 4%.* RECOGNITION & COMMUNITY * Recognition Programs – We celebrate great work through company-wide and team recognition programs, including President's Club and quarterly and departmental awards recognizing innovation, execution, and customer impact. * InVacation (Sabbatical) – As a thank-you to our long-term team members, we offer a sabbatical after seven years of service. *Some benefits may vary for teammates outside the U.S. based on local laws, regulations, and country-specific offerings.

Take end-to-end accountability for critical engineering lifecycle stages integrating AI and agentic workflows to improve efficiency and build shared engineering practices. | 5 to 8+ years specialized engineering experience with measurable impact, strong technical judgment, curiosity for AI-driven development, and ability to connect technical work to business outcomes. | ABOUT INVOCA Invoca is an AI-powered revenue execution platform that brings together marketing, commerce, and contact center teams to turn every customer interaction into measurable, profitable growth. Join our dynamic, fast-growing team, where innovation and collaboration are at the core of our culture. About the Role Invoca is building an agentic development environment, one where software is increasingly designed, written, tested, deployed, and operated with AI as a first-class collaborator, not an experiment on the side. Every engineering discipline at Invoca, from reliability and security to data, quality, and product development, is being asked to rethink how work gets done in that environment. This role is not defined by a single tool or technology stack. It's defined by outcomes: the speed, quality, and trust that your discipline brings to how Invoca ships AI-powered products. Whatever your specialty, you own a critical stage of how software moves from idea to customer impact, and you're expected to make that stage faster, safer, and smarter over time. Success in this role is measured by business and product outcomes, not activity: how much faster and safer Invoca ships, how much more reliable and secure our systems are, and how effectively you turn your domain into a source of company-wide leverage. What You'll Do Own an Outcome, Not Just a Function * Take end-to-end accountability for a critical stage of Invoca's engineering lifecycle in your domain, whether that's reliability, security, data, quality, delivery, customer deployment, or architecture. * Define what “great” looks like in your domain and hold the bar, rather than waiting for it to be defined for you. Build for the Agentic Development Era * Identify where AI and agentic workflows can meaningfully improve your domain: faster incident detection, smarter test generation, automated security review, adaptive data pipelines, self-healing deployments, or similar. * Establish safe, observable, and auditable ways to bring AI into your workflows, and help the teams around you adopt them with confidence. Standardize and Multiply Engineering Leverage * Build shared practices, tooling, or platforms in your domain that every team can adopt, replacing one-off, team-specific approaches. * Treat your domain as a product with internal users: define adoption goals and measure whether teams are actually better off because of your work. Connect Your Domain to Business Outcomes * Translate technical decisions in your domain into terms leadership and product teams care about: velocity, cost, risk, customer trust, and revenue impact. * Partner with engineering and product leadership to prioritize your work based on measurable business and customer impact, not technical elegance alone. Raise the Bar Through Technical Influence * Drive direction and standards across multiple teams in your area of expertise. * Influence decisions through clarity, judgment, and evidence, and act as a trusted advisor to engineering and product leadership. What We're Looking For We are looking for Senior and Staff-level engineers who build leverage in their domain, not just execute within it. This description represents roles spanning all specializations across Software Engineering. You likely have: * 5+ years of experience (Senior) or 8+ years of experience (Staff) with deep expertise in your engineering specialization, with a track record of measurable impact in production environments. * Experience building systems, tools, or practices that were adopted broadly because they demonstrably improved speed, quality, or safety. * Curiosity about AI and agentic workflows, and a track record of practically applying new tools rather than just being interested in them. * Strong technical judgment with a bias toward simplicity and adoption over theoretical completeness. * Ability to connect technical work to business and customer outcomes, and to communicate that connection clearly. * Experience partnering across engineering, product, and business functions. * High ownership mindset, curiosity, and urgency in a fast-moving, evolving technical environment. How Success Will Be Measured Within 12 months, success in this role will look like: * Your domain shows clear, measurable improvement in the outcome it's meant to drive: reliability, security posture, data quality, product quality, delivery speed, customer time-to-value, or architectural coherence, depending on your specialty. * Practices or platforms you've built are adopted broadly across engineering, not just within your immediate team. * AI and agentic workflows are meaningfully integrated into your domain, with clear safety and observability in place. * Engineering and product leadership treat you as a trusted authority in your domain. * Your work has a demonstrable, articulable connection to business or customer outcomes. 📍 Location: This is a remote-first role. We are currently hiring in the following locations: 📍 United States: Greater Los Angeles Area (including Santa Barbara and San Diego) · SF Bay Area · Denver Metro · Austin Metro · Chicago Metro · Greater NYC Area · Seattle Metro Canada: Toronto (AI/ML technical roles only) Candidates must be based within ~2 hour drive of these areas. Occasional business travel may be required. COMPENSATION, BENEFITS & PERKS: At Invoca, we believe great work starts with taking care of our people. That's why we offer competitive compensation and benefits designed to support your health, your family, your growth, and your life outside of work. For teammates in the U.S., health benefits begin on your first day of employment. COMPENSATION * Base Salary: $150,000–$190,000 (Senior) & $170,000–$210,000 (Staff)* * Variable Compensation: Bonus and/or commission eligibility, where applicable. * Equity: All employees are invited to share in Invoca's success through our stock option program. *Actual compensation will depend on factors including experience, skills, and location. BENEFITS & PERKS HEALTH & WELLBEING * Day-One Health Benefits – Medical, dental, and vision coverage begins on your first day of employment for U.S.-based teammates. * Mental Wellbeing – Access to mental wellbeing support and an Employee Assistance Program (EAP). * Wellness Subsidy – Reimbursement that can be applied toward gym memberships, fitness classes, and more. TIME AWAY * Flexible Time Off – We encourage a healthy work-life balance. Our flexible paid time off policy gives you the flexibility to recharge and take time away when you need it. * Paid Holidays – Invoca provides 20 U.S. paid holidays, including a winter break, giving you time to rest, recharge, and spend time with friends and family. * Paid Family Leave – Up to 12 weeks of 100% paid leave for baby bonding, adoption, and caring for family members.* * Paid Medical Leave – Up to 12 weeks of 100% paid leave for childbirth and medical needs.* GROWTH & CAREER * Enterprise-Grade AI Tools – Access to industry-leading enterprise AI tools, including leading LLMs and agentic AI workflow solutions to help you maximize productivity and work more effectively. * Professional Development – Annual reimbursement of up to $1,000 per fiscal year to support learning, certifications, conferences, and other professional development opportunities. FINANCIAL BENEFITS * 401(k) – Invoca offers a 401(k) plan through Fidelity with a company match of up to 4%.* RECOGNITION & COMMUNITY * Recognition Programs – We celebrate great work through company-wide and team recognition programs, including President's Club and quarterly and departmental awards recognizing innovation, execution, and customer impact. * InVacation (Sabbatical) – As a thank-you to our long-term team members, we offer a sabbatical after seven years of service. *Some benefits may vary for teammates outside the U.S. based on local laws, regulations, and country-specific offerings.

Define technical vision and build shared AI platform services enabling product teams to deliver intelligent features efficiently. | Deep experience with large-scale distributed systems, modern AI architectures like LLMs and RAG, strong architectural judgment, and platform adoption track record. | ABOUT INVOCA Invoca is an AI-powered revenue execution platform that brings together marketing, commerce, and contact center teams to turn every customer interaction into measurable, profitable growth. Join our dynamic, fast-growing team, where innovation and collaboration are at the core of our culture. ABOUT THE ENGINEERING TEAM You’ll join a team where everyone, including you, is striving to constantly improve their knowledge of software development tools, practices, and processes. We are an incredibly supportive team. We swarm when problems arise and give excellent feedback to help each other grow. Working on our close-knit, multi-functional teams is a chance to share and grow your knowledge of different domains from databases to front ends to telephony and everything in between. We are passionate about many things: continuous improvement, working at a brisk but sustainable pace, writing resilient code, maintaining production reliability, paying down technical debt, hiring fantastic teammates; and we love to share these passions with each other. OVERVIEW AI is rapidly reshaping how software products create value for customers. At Invoca, we are building the shared AI platform that enables every product and engineering team to deliver intelligent, differentiated customer experiences faster and more reliably. This is a Staff-level technical leadership role focused on creating durable competitive advantage through platform leverage—not maintaining infrastructure, and not building isolated technical systems. Your mission is to make AI a first-class capability across the company by building the shared services, abstractions, and standards that allow product teams to ship high-quality AI features without becoming AI infrastructure experts. Success in this role is measured by business impact: how quickly and effectively product teams deliver AI-powered capabilities, how widely the platform is adopted, and how meaningfully it improves customer outcomes. You will operate at the intersection of engineering, product, data, and leadership, shaping how Invoca builds and scales AI-powered software. WHAT YOU’LL DO Build AI as a Core Product Capability * Define and evolve the technical vision for Invoca’s shared AI platform across all product teams. * Build reusable AI capabilities (e.g., LLM integrations, retrieval systems, evaluation frameworks, model routing) that accelerate product development. * Ensure product teams can safely and easily incorporate AI into customer-facing features without deep AI infrastructure expertise. * Continuously identify where shared platform investments can unlock new product capabilities or eliminate duplicated engineering effort. Accelerate Delivery of AI-Powered Products * Reduce friction for teams building, deploying, and iterating on AI-powered features. * Improve consistency, reliability, and cost efficiency of AI usage across the organization. * Enable rapid experimentation with AI features while maintaining appropriate safety, governance, and observability. * Drive adoption of platform capabilities through simplicity, performance, and clear value to product teams. Establish Standards for Production AI Systems * Define best practices for building, evaluating, and operating production AI systems at scale. * Establish frameworks for prompt management, evaluation, observability, and model performance tracking. * Partner with Security, Legal, and Data teams to ensure responsible and compliant AI usage. * Improve reliability and quality of AI systems through standardized tooling and shared infrastructure. Lead Through Technical Influence * Drive architectural direction across multiple engineering and product teams. * Influence technical and product decisions through clarity, judgment, and strong technical reasoning. * Raise the engineering bar by simplifying systems and eliminating unnecessary complexity. * Act as a trusted technical advisor to senior engineering and product leadership. Connect Platform Investment to Business Outcomes * Partner with Product and Engineering leaders to prioritize platform work based on customer and business impact. * Evaluate platform investments based on adoption, developer productivity, and measurable acceleration of product delivery. * Ensure the AI platform directly contributes to differentiated customer experiences and competitive positioning. * Balance long-term platform health with short-term delivery needs. WHAT WE’RE LOOKING FOR We’re looking for engineers who build leverage—not just systems. You likely have: * Deep experience building and operating large-scale distributed systems or platform infrastructure. * Strong practical experience with modern AI systems, including LLMs, retrieval-augmented generation, evaluation, and production AI architectures. * A track record of building platforms or systems that are widely adopted because they meaningfully improve developer or product team productivity. * Strong architectural judgment with a bias toward simplicity, usability, and adoption over theoretical completeness. * Experience working closely with product teams to ship customer-facing capabilities, not just internal tooling. * Strong ability to connect technical decisions to business outcomes and product strategy. * Excellent communication skills with the ability to influence across teams and levels of seniority. * High ownership mindset, curiosity, and urgency in fast-moving technical environments. HOW SUCCESS WILL BE MEASURED Within 12–18 months, success in this role will look like: * Significant adoption of shared AI platform capabilities across multiple product teams. * Measurable reduction in time required to ship AI-powered features. * Increased consistency, reliability, and cost efficiency of AI systems in production. * Product teams independently and confidently building AI-powered customer experiences using platform primitives. * Clear contribution of the AI platform to differentiated product capabilities and customer value. * Strong technical influence on engineering and product direction across the organization. * Recognition as a trusted technical leader shaping how Invoca builds AI-powered products. 📍 Location This is a remote-first role. We are currently hiring in the following locations: 📍 United States: Greater Los Angeles Area (including Santa Barbara and San Diego) · SF Bay Area · Denver Metro · Austin Metro · Chicago Metro · Greater NYC Area · Seattle Metro Candidates must be based within ~2 hour drive of these areas. Occasional business travel may be required. Please note that we are unable to provide initial visa sponsorship for this position. SALARY, BENEFITS & PERKS: At Invoca, all new hires in the U.S. receive benefits starting on day one of employment. Our benefits offerings include: Please note that benefits for teammates outside the U.S. may vary in accordance with their country’s laws and regulations. * Flexible Time Off – We encourage a healthy work-life balance. Our flexible paid time off policy allows you to recharge and take time away as needed. * Paid Holidays – Invoca provides 16 U.S. paid holidays, including a winter break, giving you ample opportunity to refresh and spend time with friends and family. * Health Benefits – Our healthcare program includes medical, dental, and vision coverage, with multiple plan options so you can choose what works best for you and your family. Fertility assistance is also included. * Retirement – Invoca offers a 401(k) plan through Fidelity with a company match of up to 4%. * Stock Options – All employees are invited to share in Invoca’s success through stock options. * Mental Health Program– Well-being support on a broad range of issues is available through our SpringHealth program. * Paid Family Leave – Up to 6 weeks of 100% paid leave is provided for baby bonding, adoption, and caring for family members. * Paid Medical Leave – Up to 12 weeks of 100% paid leave is provided for childbirth and medical needs. * InVacation – As a thank-you to our long-term team members, we offer a bonus after 7 years of service. * Wellness Subsidy – We provide a subsidy that can be applied toward gym memberships, fitness classes, and more. * Position Base Range - Salary Range $180,000 - $273,000 plus bonus + equity #LI-Remote