Instrumentl

Build and maintain backend AI features and APIs for grant discovery and application tools with reliability and observability. | 7+ years backend production experience in Python with LLM AI features, strong data fundamentals, and startup environment adaptability. | Hello, we’re Instrumentl. 👋 Nonprofits do some of the most important work in the world, and most of them are still managing grants in spreadsheets. We're fixing that. Instrumentlis a profitable, hypergrowth, YC-backed SaaS platform building the operating system for grant-funded organizations. More than 5,500 nonprofits use Instrumentl to discover, track, and win grant funding, from local community organizations to the San Diego Zoo and the University of Alaska. Collectively they’ve moved over $1 billion through our platform. We're growing more than 40% year over year, customers love us (Ellis PMF 60+), and we're hiring people who want to build something that matters. About the role We're hiring a Senior Backend Engineer to own AI features end to end, from rapid prototype to production and the evaluation that keeps them honest. You'll build the APIs, tool-using agents, and RAG pipelines that turn frontier LLMs into grant discovery, application drafting, and research tools our 5,500+ nonprofits rely on every day. It's a high-ownership seat on a small team, where what you ship reaches customers fast and you help shape how we build AI here. What you'll do Ship AI to production Build tool-using LLM agents (task planning, function and tool calling, multi-step workflows, guardrails) for grant discovery, application drafting, and research assistance. Turn prototypes into resilient, observable services with clear SLAs, rollback and fallback strategies, and cost and latency budgets. Stand up evaluation and observability so our AI stays grounded, safe, and cost-effective. Build trustworthy backends Write high-quality, thoroughly tested code across the backend and the data pipelines that power retrieval and evaluation. Contribute to reliability practices: alerts, dashboards, and incident response. Collaborate and raise the bar Partner with Product, Design, and GTM on scoping, UX, and measurement. Run experiments (A/B, canaries), interpret results, and iterate. Raise engineering standards through clear, maintainable code, tests, docs, and thoughtful review. What we're looking for Required 7+ years building and shipping production backend systems in Python (FastAPI, Celery, or equivalent), taking features from prototype to production with real reliability practices like tests, observability, and rollback. Hands-on experience building LLM features in production: tool and function calling, multi-step agent workflows, and the guardrails and evals that keep them grounded, safe, and cost-effective. This is the core of the role. Strong data fundamentals: SQL, schema design, and building pipelines that power retrieval and evaluation. Thrives in a fast, scrappy startup environment with high ownership and a bias for action, speed, quality, and simplicity. Nice to have TypeScript and Node, plus familiarity with Ruby on Rails (our core platform) or a willingness to learn it. Experience with AWS or GCP, Docker, CI/CD, and observability (logs, metrics, traces). RAG depth: document ingestion, chunking and windowing, embeddings, hybrid search (keyword plus vector), re-ranking, and grounded citations. Experience with re-rankers and cross-encoders, hybrid retrieval tuning, or search and recommendation systems. Evaluation mindset: designing eval suites (RAG/QA, extraction, summarization) using automated and human-in-the-loop methods, with familiarity with frameworks like Ragas, DeepEval, or OpenAI Evals. Orchestration frameworks: LangChain or LangGraph, LlamaIndex, Semantic Kernel, or custom orchestration. Compensation & Benefits For US-based candidates, the target salary range for this role is 175,000 - $220,000 USD, plus equity. Final compensation is determined based on experience, skillset, scope of responsibility, interview performance, and geographic location. We’re committed to paying competitively and equitably. For candidates based in Canada, compensation varies by province and will be shared by your recruiter early in the process. Benefits 100% covered health, dental, and vision insurance for employees (50% for dependents) Generous PTO, including parental leave 401(k) Company laptop and home-office stipend Bi-annual company retreats Instrumentl is evolving rapidly. You’ll always have new challenges and opportunities to grow here. Instrumentl is an equal opportunity employer. We are committed to building an inclusive workplace and do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, genetic information, or any other legally protected status. We encourage candidates from all backgrounds to apply. If you need a reasonable accommodation during the application or interview process, please let us know.

Develop and maintain backend AI features with reliability and observability, collaborating with Product and Design teams. | 7+ years backend Python experience with LLM deployment and strong SQL/data pipeline skills in a startup environment. | Hello, we’re Instrumentl. 👋 Nonprofits do some of the most important work in the world, and most of them are still managing grants in spreadsheets. We're fixing that. Instrumentl is a profitable, hypergrowth, YC-backed SaaS platform building the operating system for grant-funded organizations. More than 5,500 nonprofits use Instrumentl to discover, track, and win grant funding, from local community organizations to the San Diego Zoo and the University of Alaska. Collectively they’ve moved over $1 billion through our platform. We're growing more than 40% year over year, customers love us (Ellis PMF 60+), and we're hiring people who want to build something that matters. \n About the role We're hiring a Senior Backend Engineer to own AI features end to end, from rapid prototype to production and the evaluation that keeps them honest. You'll build the APIs, tool-using agents, and RAG pipelines that turn frontier LLMs into grant discovery, application drafting, and research tools our 5,500+ nonprofits rely on every day. It's a high-ownership seat on a small team, where what you ship reaches customers fast and you help shape how we build AI here. What you'll do Ship AI to production Build tool-using LLM agents (task planning, function and tool calling, multi-step workflows, guardrails) for grant discovery, application drafting, and research assistance. Turn prototypes into resilient, observable services with clear SLAs, rollback and fallback strategies, and cost and latency budgets. Stand up evaluation and observability so our AI stays grounded, safe, and cost-effective. Build trustworthy backends Write high-quality, thoroughly tested code across the backend and the data pipelines that power retrieval and evaluation. Contribute to reliability practices: alerts, dashboards, and incident response. Collaborate and raise the bar Partner with Product, Design, and GTM on scoping, UX, and measurement. Run experiments (A/B, canaries), interpret results, and iterate. Raise engineering standards through clear, maintainable code, tests, docs, and thoughtful review. What we're looking for Required 7+ years building and shipping production backend systems in Python (FastAPI, Celery, or equivalent), taking features from prototype to production with real reliability practices like tests, observability, and rollback. Hands-on experience building LLM features in production: tool and function calling, multi-step agent workflows, and the guardrails and evals that keep them grounded, safe, and cost-effective. This is the core of the role. Strong data fundamentals: SQL, schema design, and building pipelines that power retrieval and evaluation. Thrives in a fast, scrappy startup environment with high ownership and a bias for action, speed, quality, and simplicity. Nice to have TypeScript and Node, plus familiarity with Ruby on Rails (our core platform) or a willingness to learn it. Experience with AWS or GCP, Docker, CI/CD, and observability (logs, metrics, traces). RAG depth: document ingestion, chunking and windowing, embeddings, hybrid search (keyword plus vector), re-ranking, and grounded citations. Experience with re-rankers and cross-encoders, hybrid retrieval tuning, or search and recommendation systems. Evaluation mindset: designing eval suites (RAG/QA, extraction, summarization) using automated and human-in-the-loop methods, with familiarity with frameworks like Ragas, DeepEval, or OpenAI Evals. Orchestration frameworks: LangChain or LangGraph, LlamaIndex, Semantic Kernel, or custom orchestration. Compensation & Benefits For US-based candidates, the target salary range for this role is 175,000 - $220,000 USD, plus equity. Final compensation is determined based on experience, skillset, scope of responsibility, interview performance, and geographic location. We’re committed to paying competitively and equitably. For candidates based in Canada, compensation varies by province and will be shared by your recruiter early in the process. Benefits 100% covered health, dental, and vision insurance for employees (50% for dependents) Generous PTO, including parental leave 401(k) Company laptop and home-office stipend Bi-annual company retreats Instrumentl is evolving rapidly. You’ll always have new challenges and opportunities to grow here. \n Instrumentl is an equal opportunity employer. We are committed to building an inclusive workplace and do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, genetic information, or any other legally protected status. We encourage candidates from all backgrounds to apply. If you need a reasonable accommodation during the application or interview process, please let us know.

Manage and optimize marketing data infrastructure, integrate data sources, implement AI tools, and support marketing, sales, and customer success alignment. | 3-5+ years in marketing or revenue operations with hands-on CRM administration, data architecture experience, analytical mindset, and ability to collaborate with product and engineering teams. | Hello, we’re Instrumentl. 👋 Nonprofits do some of the most important work in the world, and most of them are still managing grants in spreadsheets. We’re fixing that. Instrumentlis a profitable, hypergrowth, YC-backed SaaS platform building the operating system for grant-funded organizations. More than 5,500 nonprofits use Instrumentl to discover, track, and win grant funding, from local community organizations to the San Diego Zoo and the University of Alaska. Collectively they’ve moved over $1 billion through our platform. We’re doubling year over year, customers love us (NPS 65+, Ellis PMF 60+), and we’re hiring people who want to build something that matters. About the role: We’re hiring a RevOps Manager, reporting to the Revenue Operations Lead, to own the technical infrastructure that powers our marketing engine. This is a builder role. You’ll architect our marketing data model within our CRM, integrate new data sources, and implement AI tools across our marketing programs. You’ll partner closely with our Product Marketing Managers (campaigns, launches), our Events & Community team (conferences, virtual webinars, community programs), and our Growth Product team (a high-speed engineering team focused on product signups and onboarding). You’ll act as the connective tissue for Marketing, Sales, and CS initiatives so every launch ships with the execution and reporting these teams need to operate in lockstep. You’ll work alongside two other RevOps Managers and together, you’ll form the core team that makes our GTM motion efficient, scalable, and increasingly intelligent. This role is ideal for someone who is an equal parts systems thinker and hands-on builder, someone comfortable writing SQL queries in the morning and presenting a quarterly business review to leadership in the afternoon. What you'll do: Data Architecture & CRM Ownership Own and maintain our marketing data model in HubSpot, ensuring clean object relationships, consistent field architecture, and scalable structure as we grow Build and maintain data pipelines connecting external sources (product usage, event platforms, enrichment providers, ad platforms) into our marketing systems Establish data governance standards and ensure data quality across all marketing systems, from campaign attribution to lifecycle stage definitions Partner with Growth Product to instrument signup and onboarding events, ensuring product data flows cleanly into HubSpot Build and refine lead scoring and segmentation models based on conversion data and PMM feedback AI Tooling & Automation Evaluate, implement, and optimize AI tools that enhance marketing productivity Build automated workflows that reduce manual work: enrichment on inbound signups, event follow-up sequences, intelligent nurture branching, and onboarding triggers Partner with PMMs and the Events team on adoption of new tools Stay current on emerging AI/automation capabilities and bring a POV on what to test next Reporting & Analytics Build and maintain dashboards providing visibility into funnel health, channel performance, campaign ROI, event ROI, and signup-to-activation conversion Document metric definitions, scoring logic, and attribution methodologies to ensure transparency across Marketing and GTM teams Partner with Growth Product and MM to define launch KPIs and stand up dashboards that give Marketing, Sales, and CS shared visibility Integration & Tech Stack Own integrations between marketing tools (HubSpot, event platforms, community tools, ad platforms, enrichment, product analytics, data warehouse) Evaluate new tools and make build-vs-buy recommendations Ensure our marketing tech stack is lean, well-integrated, and delivering ROI What we're looking for: Required 3-5+ years in Marketing Operations, Revenue Operations, or a GTM Systems role at a B2B SaaS company Hands-on experience with marketing automation and CRM administration (HubSpot preferred) Data architecture experience: you’ve designed or significantly improved a marketing data model and connected multiple systems Analytical mindset: you make decisions based on data and know how to measure whether a campaign or experiment is working Comfortable partnering with product and engineering teams Nice to Have Familiarity with product analytics tools and how product event data feeds lifecycle marketing Experience with data enrichment vendors and intent data providers Experience supporting field marketing, events, or community programs Experience with BI tools or data warehouses Who you are Builder mentality: You'd rather create a scalable system than do the same manual task twice Curious about AI: You're excited (not anxious) about how AI is changing marketing and you want to be the person figuring out how to use it Strong communicator: You can explain technical concepts to non-technical stakeholders and translate business requirements into system design Ownership-oriented: You don't wait to be told what to do. You see a gap, propose a solution, and drive it forward Collaborative: You know that the best systems are built in partnership with the people who use them whether that's a PMM, an Events Manager, or a Growth Product engineer Compensation & Benefits For US-based candidates, the target salary range for this role is $130,000-$155,000 base + quarterly performance bonus (10-15% of base) plus equity. Final compensation is determined based on experience, skillset, scope of responsibility, interview performance, and geographic location. We’re committed to paying competitively and equitably. Benefits 100% covered health, dental, and vision insurance for employees (50% for dependents) Generous PTO, including parental leave 401(k) Company laptop and home-office stipend Bi-annual company retreats Instrumentl is evolving rapidly. You’ll always have new challenges and opportunities to grow here. Instrumentl is an equal opportunity employer. We are committed to building an inclusive workplace and do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, genetic information, or any other legally protected status. We encourage candidates from all backgrounds to apply. If you need a reasonable accommodation during the application or interview process, please let us know.

Manage post-sale customer journey focusing on onboarding, engagement, retention, and account expansion for nonprofit customers. | 3+ years SaaS customer success experience managing 300+ accounts with strong communication skills. | Hello, we’re Instrumentl. 👋 Nonprofits do some of the most important work in the world, and most of them are still managing grants in spreadsheets. We’re fixing that. Instrumentl is a profitable, hypergrowth, YC-backed SaaS platform building the operating system for grant-funded organizations. More than 5,500 nonprofits use Instrumentl to discover, track, and win grant funding, from local community organizations to the San Diego Zoo and the University of Alaska. Collectively they’ve moved over $1 billion through our platform. We’re doubling year over year, customers love us (NPS 65+, Ellis PMF 60+), and we’re hiring people who want to build something that matters. \n About the role: We’re hiring a Customer Success Manager, reporting to the Manager, Customer Success, to own the post-sale journey for a portfolio of nonprofit and grant-writing customers: onboarding, engagement, retention, and expansion. You’ll build the relationships and playbooks that turn customers into advocates as we scale our CS function for a fast-growing base. If you want to own outcomes end-to-end at a mission-driven, hypergrowth startup, this is the seat. What you'll do: Own the customer relationship Own post-sale onboarding, engagement, retention, and expansion across your portfolio of accounts. Build personal relationships with customers and craft narratives that help them realize value and uncover new opportunities for deeper impact. Nurture and grow accounts through 1:1 interactions, including challenging conversations at the leadership level. Drive adoption and account health Meet and exceed customer satisfaction, adoption, renewal, and expansion targets. Evaluate adoption metrics, budgets, and stakeholder networks to manage account health and surface risk early. Conduct business reviews and proactively identify ways Instrumentl can better support each customer. Consult on change management and share product knowledge and best practices to deepen platform use. Partner and advocate Co-create engagement strategies with Customer Enablement Managers to scale adoption, retention, and upsell results across the base. Serve as the voice of the customer, channeling feedback to revenue and product teams. What we're looking for: Required 3+ years in a customer-facing Customer Success or Account Management role in SaaS, managing a portfolio of 300+ accounts. Proven relationship-building, including managing challenging conversations and building rapport with leadership-level customers. Strong written and verbal communication: you can make complex topics simple, over video and in writing. Comfort with ambiguity and change in a fast-paced environment, with a proactive, ownership-driven approach to process improvement. Nice to have Background in nonprofit development or fundraising. Experience at an early-stage startup. Experience working with nonprofit or SMB customers. Familiarity with G Suite, Zoom, Slack, Intercom, and HubSpot. Experience working remotely. Compensation & Benefits For US-based candidates, the target salary range is $80,000–$100,000 USD base + equity. Final compensation is determined based on experience, skillset, scope, interview performance, and geographic location. Benefits 100% covered health, dental, and vision insurance for employees (50% for dependents). Generous PTO, including parental leave. 401(k). Company laptop and home-office stipend. Bi-annual company retreats. Instrumentl is evolving rapidly. You’ll always have new challenges and opportunities to grow here. \n Instrumentl is an equal opportunity employer. We are committed to building an inclusive workplace and do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, genetic information, or any other legally protected status. We encourage candidates from all backgrounds to apply. If you need a reasonable accommodation during the application or interview process, please let us know.

Lead customer support by managing tickets, escalations, billing, and a team while scaling support via AI and process improvements. | Requires 4+ years SaaS customer support or operations experience with people management and AI-native skills. | Hello, we’re Instrumentl. 👋 Nonprofits do some of the most important work in the world, and most of them are still managing grants in spreadsheets. We’re fixing that. Instrumentl is a profitable, hypergrowth, YC-backed SaaS platform building the operating system for grant-funded organizations. More than 5,500 nonprofits use Instrumentl to discover, track, and win grant funding, from local community organizations to the San Diego Zoo and the University of Alaska. Collectively they’ve moved over $1 billion through our platform. We’re doubling year over year, customers love us (NPS 65+, Ellis PMF 60+), and we’re hiring people who want to build something that matters. \n About the role: We’re hiring a Customer Support & Operations Team Lead, reporting to our VP of Customer Success, to own the systems and workflows behind a fast, accurate, and genuinely delightful support experience for the nonprofits and grant writers who run on Instrumentl. This is a hands-on player-coach role. You’ll handle tickets, billing questions, bug reports, escalations, and help-center updates yourself, while raising the bar for the team that handles them alongside you. You’ll guide one full-time support IC and a small bench of contractors, sharpen our AI support workflows in Fin, and decide where automation, self-serve, and human judgment each belong. We’re past 5,500 customers and growing fast. Until now, support has run on one person plus contractors. You get to define what comes next: how we use AI, how we staff, what “world-class” looks like, and how we build a function that scales without scaling headcount linearly. As volume grows, this role is built to grow with it, from Team Lead into a Manager seat owning the broader support org. You’ll partner with Customer Success, Finance, Product, Engineering, and our Support Engineer to make sure customer issues get understood, escalated cleanly, and resolved systematically. What you'll do: Own the customer experience Handle customer tickets, escalations, billing questions, bug reports, and product education. You’re in the queue, not above it. Set the standards for response quality, tone, accuracy, and escalation, then hold the team (humans and AI) to them. Improve first-response and resolution times for our highest-priority ticket types while maintaining or improving CSAT. Build lightweight QA loops so quality is something we measure, not something we hope for. Scale support through AI and self-serve Own day-to-day Fin/AI support performance: training, monitoring, reviewing answers, and tightening workflows. Spot repetitive ticket categories that should be solved by AI, macros, better help-center content, or product education, and ship the fix. Build human-in-the-loop workflows so AI resolves more, and routes the rest to a human cleanly. Use customer conversations as a feedback loop: surface documentation gaps, AI gaps, UX issues, and product confusion. Build the support operating system Own queue management, routing, escalation paths, SLAs, and coverage planning, including the awkward stuff like company off-sites and holidays. Sharpen billing, cancellation, and refund workflows in partnership with Finance and CS. Oversee operational data workflows, including our spreadsheet-import process and the contractors who power it. Create internal playbooks and documentation so support doesn’t live in tribal knowledge. Build reporting that helps leadership see ticket volume, customer pain, team performance, and scaling risk. Strengthen feedback loops with the rest of the company Partner with our Support Engineer on bug triage, reproduction steps, prioritization, and customer follow-up. Distinguish real product bugs from user confusion, billing edge cases, and education gaps, and escalate accordingly. Surface recurring customer pain points and translate them into clear recommendations for Product, Engineering, Finance, and CS. Close the loop with customers when issues need investigation or follow-up. Develop the team Manage one full-time support IC plus contractors and VAs. Set role clarity, goals, and performance expectations. Coach the team on judgment, quality, efficiency, and customer empathy. Improve onboarding and training so new contributors ramp faster. Help decide when support volume justifies an additional FTE, and what the next version of the team looks like. What we're looking for: Required 4+ years in customer support, support operations, or CX, ideally in SaaS, including time owning quality, not just answering tickets. Prior people management experience. You’ve set expectations, given hard feedback, and coached someone into a better version of their work. AI-native instincts. You already use AI in your day-to-day, have opinions about where it helps and where it hurts, and can own Fin/AI quality without being walked through it. A track record of building or improving support systems (routing, escalation, QA, reporting, or self-serve). You’ve gone beyond managing a queue. Excellent customer judgment and writing. You can translate billing chaos or a confusing bug into something a non-technical customer actually understands. Player-coach energy. You’re happy to jump into the queue, update an article, review an AI answer, or debug a customer issue yourself. Comfort with ambiguity. You can operate in a Slack-first, fast-moving environment where the process you need sometimes doesn’t exist yet. Nice to have Experience with Intercom or Fin (Zendesk, Help Scout, Ada, Forethought, Gorgias and similar tools all transfer). Billing-heavy support experience: subscriptions, plan changes, refunds, payment failures. Experience overseeing operational data workflows like spreadsheet imports or QA on contractor-supported processes. Background supporting nonprofit, SMB, or prosumer SaaS customers. You know how to read between the lines with non-technical users. Remote startup experience. Compensation & Benefits For US-based candidates, the target salary range is $95,000 – $115,000 USD base plus equity. Final compensation is determined based on experience, skillset, scope, interview performance, and geographic location. Benefits 100% covered health, dental, and vision insurance for employees; 50% for dependents Generous PTO, including parental leave 401(k) Company laptop and a stipend to set up your home workstation The chance to work with awesome nonprofits across the US doing meaningful work \n Instrumentl is an equal opportunity employer. We are committed to building an inclusive workplace and do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, genetic information, or any other legally protected status. We encourage candidates from all backgrounds to apply. If you need a reasonable accommodation during the application or interview process, please let us know.

Build and improve full stack SaaS products with high code quality, collaborate cross-functionally, and mentor team members. | 7+ years software engineering experience with full stack skills including Ruby on Rails, Python, JavaScript, and a collaborative, results-driven mindset. | Hello, we’re Instrumentl. We’re a mission-driven startup helping the nonprofit sector to drive impact, and we’re well on our way to becoming the #1 most-loved grant discovery and management tool. To get there, we’re hiring a Senior Full Stack Software Engineer to help us build the right product for our customers quickly and strategically, while maintaining high code quality and standards. About us: Instrumentl is a hypergrowth YC-backed startup with over 5,500 nonprofit clients, from local homeless shelters to larger organizations like the San Diego Zoo and the University of Alaska. We are building the future of fundraising automation, helping nonprofits to discover, track, and manage grants efficiently through our SaaS platform. Our charts are dramatically up-and-to-the-right 📈 — we’re cash flow positive and doubling year-over-year, with customers who love us (NPS is 65+ and Ellis PMF survey is 60+). Join us on this rocket ship! About the role: As a Sr. Full Stack Engineer at Instrumentl, you will work closely with our Head of Engineering and partner with team members across design, product, content, and support functions, providing a best-in-class experience to every user. Our small, distributed engineering team builds, scales, and improves our customer experience and in-house tooling from end to end. We’re accountable for the quality and reliability of our product, support, and data stack, and we believe in continuous improvement. Get to know us at instrumentl.com/about! Our ideal candidate is eager to learn, willing to experiment, and excited to empower both teammates and customers to accelerate social progress and propel innovation. The Instrumentl team is fully distributed (though if you’d like to work from our Oakland office, we would love to see you there). For this position, we are looking for candidates based in the United States who have significant overlap with Pacific Time Zone working hours. What you'll do: Build, operate, and improve products for all of Instrumentl’s customers, from small, local nonprofits to large organizations. Create engaging, responsive interfaces and APIs that make the fundraising process truly enjoyable, driving our customer adoption and retention. Contribute high-quality, thoroughly tested code to create trustworthy user interfaces and resilient backend systems. Work side-by-side with our product, sales, support, and content teams to improve internal tools and processes, ensuring that our best-in-class product retains its crown. Own problems from end to end, managing complexity and engaging directly with stakeholders to develop short-term and long-term solutions. Be a strategic partner, thinking through everything from business impact to reliability and operability, to the pixel-perfection of individual customer interactions. Uphold Instrumentl’s high standards for product quality and mentor newer team members to do the same. Who you are: Experienced: you’ve been a software engineer for 7+ years - startup experience is a huge plus! Generalist: you enjoy working on frontend, backend, infrastructure, data pipelines, or billing pipelines as needed. Hands-On: you’ve used Ruby on Rails, Python, JavaScript, PostgreSQL, Redis, HTML, and CSS, and you’re open to adopting new tools to get the job done. Collaborative: you thrive in an environment involving different functions, stakeholders, and subject matter experts. Methodical: you take pride in delivering projects from ideation to completion. Hungry: you’re on a mission to make an impact and motivated by constant learning. Results-Driven: you have a history of executing in a fast-paced environment. Passionate: you’re excited about Instrumentl’s mission to propel nonprofits into a bigger, brighter future! Compensation & Benefits: Salary ranges are based on market data, relative to our size, industry, and stage of growth. Salary is one part of total compensation, which also includes equity, perks, and competitive benefits. For US-based candidates, our target salary band is $160,000 - $190,000/year + equity. Salary decisions will be based on multiple factors including geographic location, qualifications for the role, skillset, proficiency, and experience level. 100% covered health, dental, and vision insurance for employees, 50% for dependents Generous PTO policy, including parental leave 401(k) Company laptop + stipend to set up your home workstation Company retreats for in-person time with your colleagues Work with awesome nonprofits around the US. We partner with incredible organizations doing meaningful work, and you get to help power their success. What to expect: Instrumentl is evolving rapidly. You’ll always have new challenges and opportunities to grow in your role - you won’t be bored! You’ll be an early member of our small but mighty team, playing a huge part in shaping our culture for the years and teammates to come. At Instrumentl: We’re customer-focused. We routinely seek feedback from our customers to improve the Instrumentl experience for everyone. Our first company value is "The customer is the hero" and we mean it. We love to experiment. We are constantly generating new concepts and iterating to see what works - ideation and experimentation are essential here. "Bend the curve" is another key company value. We appreciate authenticity. We have a diverse range of life experiences, and we encourage open, clear communication with each other about the things that matter most to us. We’re approachable and collaborative. Everyone has a voice, and we’re all building Instrumentl together. We kick it every day with some of the nicest people in the world. No joke, our customers are often on the front lines educating kids, saving endangered species, and restoring watersheds. In helping them take advantage of Instrumentl’s technology, you’re helping them move the world forward. Ready to apply? Please submit a written response addressing the prompts below: Why are you interested in Instrumentl? What makes you a good fit for the Sr. Full Stack Software Engineer role? Don't forget to include the word moxie in your application to show you read this from start to finish! Along with your written response, please attach your CV or resume. At Instrumentl, we pride ourselves on building a diverse team from the ground up. Every role is an opportunity to teach, learn, and create some of your best work - if you’re excited to grow along with us, we encourage you to apply!

Design, build, and maintain AI-driven software features and systems with a focus on LLMs and RAG pipelines. | 5+ years software engineering with 2+ years LLM experience, proficiency in Python and TypeScript, and experience with AI system deployment and evaluation. | Location: Hybrid, Oakland CA (1 day in office) or Must be willing to relocate to the SF Bay Area 👋Hello, we’re Instrumentl. We’re a mission-driven startup helping the nonprofit sector to drive impact, and we’re well on our way to becoming the #1 most-loved grant discovery and management tool. About us: Instrumentl is a hyper growth YC-backed startup with over 5,500 nonprofit clients, from local homeless shelters to larger organizations like the San Diego Zoo and the University of Alaska. We are building the future of fundraising automation, helping nonprofits to discover, track, and manage grants efficiently through our SaaS platform. Our charts are dramatically up-and-to-the-right 📈 — we’re cash flow positive and doubling year-over-year, with customers who love us (NPS is 65+ and Ellis PMF survey is 60+). Join us on this rocket ship to Mars! About the Role : As a Senior Software Engineer, GenAI at Instrumentl, you’ll own the full lifecycle of AI features—from rapid prototyping to production deployment and ongoing evaluation. You will build agentic LLM systems that can plan and use tools, implement RAG pipelines over our domain data, manage and evolve embeddings and indices, run fine‑tuning where it’s the right lever, and stand up evaluation/observability so our AI is grounded, safe, and cost‑effective. You’ll embed with our Engineering team in a hands-on role, collaborating closely with Product and Design, while partnering with DTI on platform‑level AI capabilities. The Instrumentl team is fully distributed (though if you’d like to work from our Oakland office, we would love to see you there). For this position, we are looking for someone who has significant overlap with Pacific Time Zone working hours. What you will do: Design agentic systems & ship AI to production: Turn prototypes into resilient, observable services with clear SLAs, rollback/fallback strategies, and cost/latency budgets. Build tool‑using LLM “agents” (task planning, function/tool calling, multi‑step workflows, guardrails) for tasks like grant discovery, application drafting, and research assistance. Own RAG end‑to‑end: Ingest and normalize content, choose chunking/embedding strategies, implement hybrid retrieval, re‑ranking, citations, and grounding. Continuously improve recall/precision while managing index health. Manage embeddings at scale: Select, evaluate, and migrate embedding models; maintain vector stores (e.g., pgvector/FAISS/Pinecone/Weaviate/Milvus/Qdrant); monitor drift and rebuild strategies. Fine‑tune & build evaluation: Run SFT/LoRA or instruction‑tuning on curated datasets; evaluate the ROI vs. prompt engineering/model selection; manage data versioning and reproducibility. Create offline and online eval harnesses (helpfulness, groundedness, hallucination, toxicity, latency, cost), synthetic test sets, red‑teaming, and human‑in‑the‑loop review. Collaborate cross‑functionally while raising engineering standards: Work side by side with Product, Design, and GTM on scoping, UX, and measurement; run experiments (A/B, canaries), interpret results, and iterate. Write clear, maintainable code, add tests and docs, and contribute to reliability practices (alerts, dashboards, incident response). What we are looking for: Software engineering background: 5+ years of professional software engineering experience, including 2+ years working with modern LLMs (as an IC). Startup experience and comfort operating in fast, scrappy environments is a plus. Proven production impact: You’ve taken LLM/RAG systems from prototype to production, owned reliability/observability, and iterated post‑launch based on evals and user feedback. LLM agentic systems: Experience building tool/function‑calling workflows, planning/execution loops, and safe tool integrations (e.g., with LangChain/LangGraph, LlamaIndex, Semantic Kernel, or custom orchestration). RAG expertise: Strong grasp of document ingestion, chunking/windowing, embeddings, hybrid search (keyword + vector), re‑ranking, and grounded citations. Experience with re‑rankers/cross‑encoders, hybrid retrieval tuning, or search/recommendation systems. Embeddings & vector stores: Hands‑on with embedding model selection/versioning and vector DBs (e.g., pgvector, FAISS, Pinecone, Weaviate, Milvus, Qdrant). Evaluation mindset: Comfort designing eval suites (RAG/QA, extraction, summarization), using automated and human‑in‑the‑loop methods; familiarity with frameworks like Ragas/DeepEval/OpenAI Evals or equivalent. Infrastructure & languages: Proficiency in Python (FastAPI, Celery) and TypeScript/Node; Experience with AWS/GCP, Docker, CI/CD, and observability (logs/metrics/traces). Data chops: Comfortable with SQL, schema design, and building/maintaining data pipelines that power retrieval and evaluation. Collaborative approach: You thrive in a cross‑functional environment and can translate researchy ideas into shippable, user‑friendly features. Results‑driven: Bias for action and ownership with an eye for speed, quality, and simplicity. Nice to have: Fine‑tuning: Practical experience with SFT/LoRA or instruction‑tuning (and good intuition for when fine‑tuning vs. prompting vs. model choice is the right lever). Exposure to open‑source LLMs (e.g., Llama) and providers (e.g., OpenAI, Anthropic, Google, Mistral). Familiarity with responsible AI, red‑teaming, and domain‑specific safety policies. Compensation & Benefits: Salary ranges are based on market data, relative to our size, industry, and stage of growth. Salary is one part of total compensation, which also includes equity, perks, and competitive benefits. For US-based candidates, our target salary band is $175,000 - $220,000/year + equity. Salary decisions will be based on multiple factors including geographic location, qualifications for the role, skillset, proficiency, and experience level. 100% covered health, dental, and vision insurance for employees, 50% for dependents Generous PTO policy, including parental leave 401(k) Company laptop + stipend to set up your home workstation Company retreats for in-person time with your colleagues Work with awesome nonprofits around the US. We partner with incredible organizations doing meaningful work, and you get to help power their success.