Source Job

• Lead, mentor, and grow a team of engineers building AI solutions.
• Drive planning, execution, and delivery of production-ready agentic AI applications.
• Partner with Product and Platform Engineering to prioritize work that delivers measurable customer value.

Legion builds secure, reliable AI systems for government and enterprise, born from a Department of Defense partnership. They are backed by partners like Palantir, Nvidia, HPE, and Oracle, and foster a culture of bold thinking and collaboration.

• Lead ecosystem engineering and integration between Twilio's AI platform and major hyperscaler AI platforms.
• Act as a strategic partner and technical liaison with leading AI tool and cloud companies to accelerate customer time-to-market.
• Drive customer discovery and sales enablement, capturing technical and business requirements for key enterprise accounts.

Twilio is a communications platform company that delivers innovative solutions to hundreds of thousands of businesses and empowers millions of developers worldwide. They are a remote-first company with a strong culture of connection and global inclusion, and a vibrant team with diverse experiences.

• Lead and scale engineering teams building agentic and AI-enabled product experiences.
• Partner with Product, Design, and Data Science to define technical roadmap and translate AI capabilities into user-facing features.
• Drive architectural standards, ensure reliability and performance, and champion engineering excellence across the organization.

Iterable is an AI-powered customer engagement platform that helps brands create personalized experiences at scale. With nearly 1,200 customers globally, the company fosters a culture of innovation, collaboration, and inclusion, earning recognition as one of Inc's Best Workplaces.

• Lead the AI Platform team building the core AI Gateway for high-throughput LLM traffic.
• Own strategy and architecture for processing up to 1 trillion LLM tokens per week with scalability.
• Partner with product, research, and executive teams to align roadmap and technical governance.

AlphaSense provides AI-driven market intelligence to help companies make decisions. They have over 2,000 employees globally and are headquartered in New York City.

• Design and build the company's AI-first platform architecture.
• Develop agent-based systems, orchestration layers, and inference pipelines.
• Build scalable data ingestion, transformation, and feature engineering pipelines.

Our client is an early-stage healthcare AI company leveraging AI, data science, and clinical expertise to generate actionable insights from health data. The small team works alongside experienced founders and world-class advisors, building an AI-native platform from scratch.

• Lead the delivery of AI projects end-to-end, establishing technical standards and mentoring a high-performing team.
• Guide the design and delivery of RAG systems, agentic frameworks, and LLM-powered solutions for production.
• Develop evaluation frameworks and quality standards to ensure reliable AI system performance.

Blend is a premier AI services provider that co-creates impactful solutions using data science, AI, and technology. The company fosters a culture of innovation and collaboration, with a focus on aligning human expertise with artificial intelligence.

• Own the engineering enablement track for a major iGaming client's AI adoption program, driving continuous diffusion of AI practices across eight engineering organizations.
• Package and transfer working practices into reusable artifacts such as playbooks, spec templates, and skills repos, ensuring adoption across multiple companies.
• Operate the rhythm of bi-weekly validation calls, monthly cross-company demo meets, and per-company status boards to measure and optimize AI adoption.

Neurons Lab runs a group-wide AI Adoption Program for a major iGaming client, a holding of six game studios plus central business functions with ~800–1,000 employees. The company focuses on enabling engineering organizations to adopt AI practices through continuous diffusion and transfer of working practices.

• Lead and mentor a team of software engineers building agentic AI integrations.
• Drive technical strategy for multi-agent systems and protocols like MCP and A2A.
• Collaborate cross-functionally to embed AI capabilities across Atlassian's ecosystem.

Atlassian builds software products that help teams collaborate and unleash their potential. They are a global company with a diverse workforce and a culture focused on innovation and teamwork.

• Lead a product engineering squad of 8-15 engineers, focusing on people development and delivery practices.
• Collaborate with cross-functional teams to align priorities and drive AI-native engineering practices.
• Champion engineering excellence through strong testing, quality, and reliable production systems.

Our partner is a company building advanced AI-powered customer experience solutions. They are a fast-growing AI company with a remote team and a focus on innovation.

• Design, build, harden, and deploy end-to-end agentic solutions from scoping to production code.
• Own the AI automation roadmap, prioritizing high-leverage opportunities within operations.
• Lead a pod of 2-4 engineers as a player-coach, staying hands-on while managing the team.

Parachute Health is the leading digital ordering platform for medical equipment and supplies, connecting clinicians, suppliers, and health plans to deliver home medical equipment to patients. With 300,000+ clinicians and 3,000+ supplier locations, the company is remote-first with a focus on patient care.

• Lead the design and delivery of AI agents and automation workflows for NBCU's data collaboration ecosystem.
• Guide development of reusable tools, APIs, and components for agentic and software engineering workflows.
• Oversee production-grade Python application design, testing, and CI/CD practices to ensure reliability and scalability.

NBCUniversal is one of the world's leading media and entertainment companies, creating and distributing content across film, TV, streaming, and theme parks. As a subsidiary of Comcast, it fosters an inclusive culture and supports community engagement through employee-driven initiatives.

• Build and own the internal AI deployment platform to enable safe and scalable agentic workflows across the company.
• Ship high-leverage agentic workflows directly for Marketing, Sales, Success, Support, Finance, and Operations.
• Lead a cross-functional team of engineers, PMs, and business users, driving measurable business impact and reporting to the CEO.

Wrapbook is the AI platform for production finance, providing payroll, accounts payable, and accounting for film, TV, and commercials. With 350+ employees and backing from top investors like Andreessen Horowitz, they empower finance teams with AI-driven solutions.

• Own stewardship of the highest-risk, highest-impact domain areas, keeping them clean, tested, and maintainable.
• Build measurement systems to identify risks and prioritize root cause over volume.
• Lead your team's first-line triage of engineering support tickets and push AI adoption as the default.

Loop builds a connected commerce operations suite for order tracking, returns, and fraud prevention. Over 5,000 brands trust Loop, and the company culture balances high empathy with high standards.

• Build and evolve core AI platform capabilities enabling teams to scale GenAI applications.
• Design and implement distributed systems supporting multi-step AI workflows and integrations.
• Collaborate across engineering, data science, and product to turn emerging AI use cases into production-ready platform capabilities.

Samsara is the pioneer of the Connected Operations Cloud, providing IoT solutions to improve safety, efficiency, and sustainability for industries like agriculture, construction, and transportation. As a recently public company, it fosters a culture of ownership and high-impact building with a focus on long-term growth.

• Design and build the AI execution platform with event-triggered workflows and model-agnostic runtimes.
• Develop evaluation layers with golden test suites and safety checks to ensure AI reliability.
• Implement governance mechanisms and build AI agents supporting business workflows.

Jobgether is a platform that connects talent with opportunities using AI-powered matching. The company has a globally distributed team and a remote-first culture.

• Lead technical execution across endpoint agent, backend services, inference pipelines, infrastructure, and frontend.
• Translate priorities into clear plans, milestones, and owners; manage and mentor engineers.
• Run effective cadence for planning, prioritization, and retrospectives; own hiring and onboarding.

Origin builds the endpoint AI observability platform for AI-adopting organizations, ensuring productivity and safety of AI on endpoints. The company is backed by top VC firms like Sequoia Capital and operates as a fully remote team across the US & Canada, built on trust, autonomy, and excellence.

• Design, build, and architect AI capabilities on the Jitterbit platform using LLM, RAG, Azure AI, and other cutting-edge technologies.
• Collaborate with cross-functional teams to define, design, and ship new features, ensuring reliability and scalability.
• Mentor fellow engineers and stay current with emerging trends in AI and cloud computing to drive innovation.

Jitterbit is a leading data, application, and process workflow automation solution rooted in iPaaS, integrating critical business processes to accelerate digital journeys. The company is a growing leader with a distributed, remote-friendly culture that emphasizes performance, innovation, and collegiality.

• Lead end-to-end delivery of AI projects with clear governance and stakeholder communication.
• Build and mentor a high-performing AI engineering team, setting technical standards.
• Design and deploy production-ready AI systems using RAG, LLMs, and MLOps practices.

Blend is a premier AI services provider that co-creates impactful solutions for clients through data science, AI, technology, and people. The company fosters a culture of innovation and collaboration, focusing on meaningful projects and career growth for its team.

• Lead a senior team to build the internal AI platform for corporate systems, owning identity access, cost engineering, and MCP infrastructure.
• Own the AI access layer, cost attribution, and the paved path for internal applications to ensure safe and efficient AI adoption.
• Partner across Engineering, GRC, Security, Data, Finance, and People to coordinate AI efforts and influence without overriding.

Vanta helps businesses automate security monitoring for compliance standards like SOC 2, HIPAA, and ISO 27001, restoring trust in internet companies. With over 1,500 employees, Vanta has a kind and talented team that values diverse backgrounds and continuous improvement.

• Develop and deploy machine learning and AI systems.
• Work with LLMs, generative AI, and modern ML frameworks.
• Optimize model performance, latency, and cost.

A fast-growing technology company building critical infrastructure that powers high-volume, real-time business operations across multiple systems and platforms. It is a collaborative, fast-moving environment where engineers have meaningful influence on architecture and product direction.