Urrly

Lead and execute marketing strategy including campaign creation, content, sales materials, and AI-driven workflow optimization across professional services and software units. | Proven B2B marketing experience with strong execution skills in copywriting, data analysis, and AI-native workflow implementation in lean teams. | Head of Marketing, B2B Growth If you are a hands-on B2B marketing builder who wants real ownership—not a large inherited team—this is an opportunity to build the marketing engine for an established, growing B2B organization with complementary professional-services and software offerings. You will have meaningful autonomy, a broad mandate, and compensation of $165,000–$200,000 to personally shape the strategy, messaging, campaigns, enablement, measurement, and AI-enabled workflows that help the business scale. The Opportunity Our client is an established B2B organization with both relationship-led professional-services revenue and recurring software revenue. The company has grown through strong market relationships and selective marketing support, and now needs one accountable marketing owner to create a more repeatable, measurable, modern growth function. This is initially a true department-of-one role. You may use contractors or vendors where they create leverage, but this is not a strategy-only executive seat and not a people-management-first role. The right person wants to build the plan, write the copy, shape positioning, launch campaigns, improve systems, and create momentum before every condition is perfect. The Mandate You will own marketing across two related but different B2B commercial motions: a relationship-led services business and a software business with recurring revenue dynamics. Success requires commercial judgment, fast learning, strong execution, and the ability to produce credible work quickly in a complex B2B environment. What You Will Own Build and run a focused marketing plan tied to company goals, revenue priorities, sales needs, campaign opportunities, and measurable progress. Clarify ICPs, buyer problems, positioning, offers, messaging, and channel priorities across professional-services and software motions. Personally create and improve campaigns, landing pages, email, LinkedIn content, thought leadership, case studies, event follow-up, and sales materials. Translate complex B2B topics into clear, credible, buyer-relevant messaging without relying on generic agency output or low-quality AI content. Build a consistent content, campaign, and demand-generation engine that improves shipping velocity, market visibility, and sales usefulness. Partner with senior leaders, sales, product, and subject-matter experts to turn business insight into practical marketing work without becoming a reactive ticket-taker. Improve marketing operations, funnel visibility, reporting, testing, and decision-making from imperfect historical data. Use vendors selectively, rationalize spend, and increase output per dollar while staying personally close enough to the work to raise quality. What Success Looks Like In the first year, you will establish a clear marketing plan and operating cadence, create a usable messaging foundation, launch a steady content and campaign rhythm, improve measurement, and build repeatable sales-enablement and event-follow-up motions. The business should see clearer priorities, better marketing throughput, stronger stakeholder trust, and measurable progress in qualified demand, engagement, pipeline influence, or another agreed commercial indicator. Required Qualifications Substantive B2B marketing experience. This is not a consumer-marketing role. Recent, genuine department-of-one or extremely lean-team ownership where you personally produced and shipped work. Broad experience across demand generation, positioning, content, campaigns, sales enablement, marketing operations, and measurement. Ability to set strategy and execute: you can write, launch, analyze, iterate, and improve the work yourself. Strong copy judgment and the writing ability to make complex B2B topics clear, specific, and commercially useful. Enough visual taste to prevent generic, off-brand, or visibly low-quality output, whether you create assets yourself or direct others. Demonstrable AI-native execution through real workflows, agents, automations, prototypes, campaigns, analysis, or shipped work products—not just familiarity with tools. Comfort creating practical measurement and making decisions despite messy data or incomplete historical reporting. Fast learning, entrepreneurial ownership, prioritization, follow-through, and low-ego partnership with senior stakeholders. Commercial understanding that relationship-led professional-services revenue and recurring software revenue require different marketing motions. Remote United States availability with strong alignment to East Coast working hours. Preferred Background Experience marketing both B2B professional services and B2B software is strongly preferred because this role spans two different commercial motions. That said, experience in both is not an automatic knockout if you bring exceptional B2B experience, strong commercial judgment, fast learning, and credible transferable evidence. Helpful backgrounds may include hands-on Head of Marketing, Director of Marketing, Senior Marketing Manager, Demand Generation, Growth Marketing, or broad B2B marketing ownership in a resource-constrained startup, growth company, professional-services firm, software company, regulated industry, or other complex B2B environment. AI-Enabled Work Demonstration Finalists should expect to demonstrate a real AI-enabled marketing workflow they have built or used in practice. The goal is to understand how you research, draft, automate, analyze, validate, and apply judgment—not to reward tool lists or generic prompting language. Work Model, Travel, and Compensation Remote role for U.S.-based candidates. Strong alignment with East Coast working hours is required. Occasional travel for company meetings, industry events, or conferences may be required. Compensation range: $165,000–$200,000 annually. Compensation The expected total compensation range is USD 165,000–200,000 Yearly. At Urrly, fairness matters. We use AI to review every application against the same clear requirements for the role. Candidates are evaluated only on job-related factors such as skills, certifications, and experience, not personal attributes. Apply now and get a response within 24 hours.

Design and build Go-based backend services, APIs, and AWS infrastructure for a health-tech platform. | Strong production-tested Go experience, AWS backend service operation, distributed systems knowledge, and authentication fundamentals. | Senior Backend Engineer (Go/AWS) – Remote U.S. Join a lean engineering team building production systems around medical-grade wearable physiology data — the APIs, SDKs, cloud infrastructure, auth flows, and data pipelines that help researchers, clinicians, coaches, and enterprise organizations make better decisions about health and performance. This is a hands-on senior backend IC role for a strong Go engineer who can move quickly, reason through distributed systems, and ship reliable software in a compliance-aware environment. You will work within an architecture set by senior technical leaders, own well-scoped backend workstreams end-to-end, and help turn complex biometric data flows into dependable product and platform capabilities. The Opportunity We are early in our commercial journey and building the kind of engineering team where strong individual contributors have direct impact. You will not be joining to manage people, own the entire architecture, or build prototypes that never ship. You will be joining to execute on production-critical backend work across a real health-tech platform spanning firmware, cloud systems, mobile and web applications, developer APIs, and SDK infrastructure. You’ll work closely with senior technical leaders and help unblock meaningful platform priorities: integrating partner algorithms, improving backend data flows, attaching APIs to existing product capabilities, strengthening infrastructure, and shipping features that support enterprise and consumer-facing use cases. Why This Role Is Worth Your Attention • Work on wearable physiological data systems where reliability and quality matter. • Own real backend work across Go services, APIs, AWS infrastructure, data pipelines, auth systems, and developer-facing surfaces. • Join a fully remote, distributed U.S. team with no specific U.S. location requirement. • Collaborate with experienced technical leaders while staying in a hands-on IC path. • Use modern AI-assisted engineering workflows, including tools such as Claude or Cursor depending on your preferences. • Earn a $160,000 base salary, with final compensation dependent on experience, skill level, and assessment performance. What You Will Own Backend APIs & Services • Design, build, and ship Go-based backend services that support consumer-facing and enterprise-facing product surfaces. • Develop and maintain REST and gRPC APIs, async workers, SDK auth flows, and service integrations. • Translate product and platform needs into simple, reliable, testable backend implementations. Platform Infrastructure & DevOps • Work within and improve AWS infrastructure, including services such as ASGs, Aurora, ElastiCache, SQS, S3, and CloudWatch. • Contribute to CI/CD pipelines, zero-downtime deployment patterns, autoscaling systems, and operational reliability. • Help the platform scale as data volume, enterprise usage, and global infrastructure needs grow. Security & Compliance Engineering • Build and harden authentication and authorization systems, including JWTs, OAuth flows, sessions, and API key management. • Implement backend controls such as rate limiting, audit logging, access control, and secure client-facing data access. • Contribute to a compliance-aware engineering environment, including SOC 2 and HIPAA-related practices. Developer Platform & External APIs • Extend and maintain developer-facing APIs, SDK backend systems, enterprise integrations, and API key workflows. • Help attach APIs to existing and emerging platform capabilities so customers and partners can use data effectively. • Support systems that make biometric data accessible, understandable, and reliable for approved client use cases. Data Systems & Observability • Work across relational and NoSQL databases, data export pipelines, ingestion flows, and structured logging. • Debug performance and reliability issues across distributed components. • Improve observability so the team can understand platform health, trace failures, and resolve issues quickly. B2B Platform & Admin Systems • Build backend capabilities for organization lifecycle management, user provisioning, activation, onboarding, and adherence reporting. • Support multi-organization hierarchy management and enterprise administration workflows. • Help finish important platform features that are currently backlogged because senior engineering capacity is focused elsewhere. What Makes You a Strong Fit • You have strong, production-tested Go engineering experience. • You have built and operated backend services, APIs, and data systems in AWS. • You understand distributed systems well enough to debug issues across services, queues, databases, storage, and client-facing APIs. • You are comfortable with relational and NoSQL databases, messaging or event systems, and infrastructure-as-code workflows. • You have solid authentication and authorization fundamentals, including token lifecycle, session management, OAuth, and API key management. • You can own scoped backend work from definition through deployment without needing close management. • You communicate tradeoffs, progress, and blockers clearly. • You are comfortable working in a lean startup environment where priorities can shift and engineers are expected to keep moving. • You can use AI-assisted coding workflows effectively, including managing multiple coding agents or model-assisted tasks where useful. • You are willing to complete a live coding assessment as part of the process. Nice-to-Haves • Experience in health tech, wearables, biometric data, IoT, or device-connected software. • Background with HIPAA, SOC 2, GDPR, or other compliance-aware engineering environments. • Experience with high-throughput data upload, ingestion, transformation, or export systems. • Developer platform experience, including SDKs, external APIs, enterprise integrations, or API management. • Familiarity with AI/ML platform infrastructure, MCP servers, or model-facing backend systems. • Exposure to mobile-connected systems involving iOS, Android, firmware, or device data flows. What Success Looks Like • You come up to speed quickly on an existing codebase and start shipping useful backend work. • You take ownership of scoped API, infrastructure, auth, data pipeline, and reliability improvements from definition through deployment. • You build software that is simple, maintainable, testable, and appropriate for a compliance-aware platform. • You help senior engineers stay focused by independently knocking out important platform work that has clear context and business value. • You earn trust over time through strong engineering judgment, clear communication, and reliable execution. Location, Work Model & Compensation • Remote / distributed role for candidates in the United States. • Full-time position. • Base salary: $150,000–$170,000 Yearly.. • Final compensation depends on experience, skill level, and assessment performance. Compensation The expected total compensation range is USD 150,000–170,000 Yearly. At Urrly, fairness matters. We use AI to review every application against the same clear requirements for the role. Candidates are evaluated only on job-related factors such as skills, certifications, and experience, not personal attributes. Apply now and get a response within 24 hours.

Design and build Go-based backend services, APIs, and AWS infrastructure for a health-tech platform. | Strong production-tested Go experience, AWS backend service operation, distributed systems knowledge, and authentication fundamentals. | Senior Backend Engineer (Go/AWS) – Remote U.S. Join a lean engineering team building production systems around medical-grade wearable physiology data — the APIs, SDKs, cloud infrastructure, auth flows, and data pipelines that help researchers, clinicians, coaches, and enterprise organizations make better decisions about health and performance. This is a hands-on senior backend IC role for a strong Go engineer who can move quickly, reason through distributed systems, and ship reliable software in a compliance-aware environment. You will work within an architecture set by senior technical leaders, own well-scoped backend workstreams end-to-end, and help turn complex biometric data flows into dependable product and platform capabilities. The Opportunity We are early in our commercial journey and building the kind of engineering team where strong individual contributors have direct impact. You will not be joining to manage people, own the entire architecture, or build prototypes that never ship. You will be joining to execute on production-critical backend work across a real health-tech platform spanning firmware, cloud systems, mobile and web applications, developer APIs, and SDK infrastructure. You’ll work closely with senior technical leaders and help unblock meaningful platform priorities: integrating partner algorithms, improving backend data flows, attaching APIs to existing product capabilities, strengthening infrastructure, and shipping features that support enterprise and consumer-facing use cases. Why This Role Is Worth Your Attention • Work on wearable physiological data systems where reliability and quality matter. • Own real backend work across Go services, APIs, AWS infrastructure, data pipelines, auth systems, and developer-facing surfaces. • Join a fully remote, distributed U.S. team with no specific U.S. location requirement. • Collaborate with experienced technical leaders while staying in a hands-on IC path. • Use modern AI-assisted engineering workflows, including tools such as Claude or Cursor depending on your preferences. • Earn a $160,000 base salary, with final compensation dependent on experience, skill level, and assessment performance. What You Will Own Backend APIs & Services • Design, build, and ship Go-based backend services that support consumer-facing and enterprise-facing product surfaces. • Develop and maintain REST and gRPC APIs, async workers, SDK auth flows, and service integrations. • Translate product and platform needs into simple, reliable, testable backend implementations. Platform Infrastructure & DevOps • Work within and improve AWS infrastructure, including services such as ASGs, Aurora, ElastiCache, SQS, S3, and CloudWatch. • Contribute to CI/CD pipelines, zero-downtime deployment patterns, autoscaling systems, and operational reliability. • Help the platform scale as data volume, enterprise usage, and global infrastructure needs grow. Security & Compliance Engineering • Build and harden authentication and authorization systems, including JWTs, OAuth flows, sessions, and API key management. • Implement backend controls such as rate limiting, audit logging, access control, and secure client-facing data access. • Contribute to a compliance-aware engineering environment, including SOC 2 and HIPAA-related practices. Developer Platform & External APIs • Extend and maintain developer-facing APIs, SDK backend systems, enterprise integrations, and API key workflows. • Help attach APIs to existing and emerging platform capabilities so customers and partners can use data effectively. • Support systems that make biometric data accessible, understandable, and reliable for approved client use cases. Data Systems & Observability • Work across relational and NoSQL databases, data export pipelines, ingestion flows, and structured logging. • Debug performance and reliability issues across distributed components. • Improve observability so the team can understand platform health, trace failures, and resolve issues quickly. B2B Platform & Admin Systems • Build backend capabilities for organization lifecycle management, user provisioning, activation, onboarding, and adherence reporting. • Support multi-organization hierarchy management and enterprise administration workflows. • Help finish important platform features that are currently backlogged because senior engineering capacity is focused elsewhere. What Makes You a Strong Fit • You have strong, production-tested Go engineering experience. • You have built and operated backend services, APIs, and data systems in AWS. • You understand distributed systems well enough to debug issues across services, queues, databases, storage, and client-facing APIs. • You are comfortable with relational and NoSQL databases, messaging or event systems, and infrastructure-as-code workflows. • You have solid authentication and authorization fundamentals, including token lifecycle, session management, OAuth, and API key management. • You can own scoped backend work from definition through deployment without needing close management. • You communicate tradeoffs, progress, and blockers clearly. • You are comfortable working in a lean startup environment where priorities can shift and engineers are expected to keep moving. • You can use AI-assisted coding workflows effectively, including managing multiple coding agents or model-assisted tasks where useful. • You are willing to complete a live coding assessment as part of the process. Nice-to-Haves • Experience in health tech, wearables, biometric data, IoT, or device-connected software. • Background with HIPAA, SOC 2, GDPR, or other compliance-aware engineering environments. • Experience with high-throughput data upload, ingestion, transformation, or export systems. • Developer platform experience, including SDKs, external APIs, enterprise integrations, or API management. • Familiarity with AI/ML platform infrastructure, MCP servers, or model-facing backend systems. • Exposure to mobile-connected systems involving iOS, Android, firmware, or device data flows. What Success Looks Like • You come up to speed quickly on an existing codebase and start shipping useful backend work. • You take ownership of scoped API, infrastructure, auth, data pipeline, and reliability improvements from definition through deployment. • You build software that is simple, maintainable, testable, and appropriate for a compliance-aware platform. • You help senior engineers stay focused by independently knocking out important platform work that has clear context and business value. • You earn trust over time through strong engineering judgment, clear communication, and reliable execution. Location, Work Model & Compensation • Remote / distributed role for candidates in the United States. • Full-time position. • Base salary: $150,000–$170,000 Yearly.. • Final compensation depends on experience, skill level, and assessment performance. Compensation The expected total compensation range is USD 150,000–170,000 Yearly. At Urrly, fairness matters. We use AI to review every application against the same clear requirements for the role. Candidates are evaluated only on job-related factors such as skills, certifications, and experience, not personal attributes. Apply now and get a response within 24 hours.