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Precisely is the leader in data integrity. We empower businesses to make more confident decisions based on trusted data through a unique combination of software, data enrichment products and strategic services. What does this mean to you? For starters, it means joining a company focused on delivering outstanding innovation and support that helps customers increase revenue, lower costs and reduce risk. In fact, Precisely powers better decisions for more than 12,000 global organizations, including 95 of the Fortune 100. Precisely's 2500 employees are unified by four company core values that are central to who we are and how we operate: Openness, Determination, Individuality, and Collaboration. We are committed to career development for our employees and offer opportunities for growth, learning and building community. With a "work from anywhere" culture, we celebrate diversity in a distributed environment with a presence in 30 countries as well as 20 offices in over 5 continents. Learn more about why it's an exciting time to join Precisely!
Precisely is an AI-first organization. All employees are expected to demonstrate proficiency in applying AI tools to accelerate their work, improve output quality, and eliminate low-value tasks. Candidates should be comfortable using generative AI tools (e.g., Microsoft Copilot, ChatGPT) in their day-to-day workflows, able to evaluate AI-generated outputs critically, and open to continuously adopting new AI capabilities as they emerge.
Overview:
We’re seeking a technical leader to drive our AI strategy, including Precisely AI Studio—our developer portal and AI asset marketplace for the Precisely Data Integrity Suite . You'll combine hands-on engineering with team leadership and customer-facing collaboration: working directly with Precisely leaders and enterprise customers to shape what gets built, leading a small development team, and shipping the platform that lets customers discover, connect, and build with Precisely's AI assets. This is a role for someone who thrives at the intersection of people, product, and code — and who believes the best enterprise software sells itself through the value it delivers in the first few minutes
What you will do:
- Lead engineering and evolution of the AI Studio platform, including marketplace UI, agent execution, and MCP integration
- Define and enforce engineering standards across architecture, SDLC automation, testing, CI/CD, and deployment
- Mentor a high performing development team while driving execution and organizational alignment
- Partner with product, engineering, and enterprise customers to design and deliver reusable AI assets, agents, apps, and skills
- Translate customer use cases into scalable agent workflows, manifests, and skill pipelines
- Collaborate with platform architects to align AI Studio with enterprise API, data, and platform strategies
- Lead customer discovery sessions and technical reviews to ensure solutions address real business needs
- Serve as the technical bridge between customer requirements and platform capabilities
- Expand platform integrations across major LLM ecosystems including OpenAI, Claude, and enterprise data platforms
- Drive product led growth through onboarding optimization, marketplace innovation, analytics, and showcase/demo experiences
What we are looking for:
Required:
- B.Sc. Computer Science or Engineering
- 7+ years of full-stack engineering with at least 2 years in a tech lead or team lead role. The tech stack is Next.js, React, TypeScript, Tailwind CSS, Express, MongoDB, AWS Bedrock, Python/Flask, Playwright, Vitest, GitLab CI, GitHub
- Proven experience collaborating with customers or stakeholders to shape technical deliverables
- Product-Led Growth mindset— you think in activation funnels, time-to-value, and usage signals, not just features
- Production experience with js App Router and server components
- Hands-on experience with LLM APIs (Anthropic Claude, OpenAI) — tool use, streaming, prompt engineering
- Comfortable with Python (Flask) for backend microservices
- Strong communication skills — able to lead technical conversations with both engineers and non-technical stakeholders
AI Skills/Knowledge:
- Hands-on experience with LLM APIs (Anthropic Claude, OpenAI) — tool use, streaming, prompt engineering
Preferred Skills:
- Familiarity with Model Context Protocol (MCP) or similar tool-calling standards
- Experience building developer portals or marketplace products
- Background in data governance, data quality, geo-addressing, or location intelligence domains
- Knowledge of OIDC / OAuth2 authentication flows
- Experience with AWS Bedrock or similar managed LLM services
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