Technical Product Manager
About The Position
ShyftLabs is a data and AI company that partners with Fortune 500 organizations to transform enterprise data into business-driving systems. Since 2020, they have built privacy-first AI, modern data infrastructure, and analytics products that have delivered significant value to clients in retail, healthcare, finance, energy, and the public sector. The company is rapidly scaling and seeks individuals who are driven to deliver tangible results. This role involves owning a portfolio of data and AI products, translating complex business problems into product strategies, and managing them from conception through launch and iteration. The Technical Product Manager will act as a liaison between clients, engineering, and data science teams. This is a hands-on position requiring direct engagement with clients and technical teams, focusing on accountability for product outcomes.
Requirements
- 3-6 years of product management experience.
- At least 2 years of experience shipping data, analytics, platform, or AI-powered products.
- Proven track record of taking products from problem statement to production.
- Strong technical fluency, including the ability to participate in architecture discussions, understand data models, reason about APIs and integrations, and comprehend pipeline implications.
- Comfort working with enterprise stakeholders, including the ability to constructively push back on inappropriate requests.
- Analytical rigor, using data to inform decisions and acknowledging data limitations.
- Experience with Agile delivery methodologies and modern product tooling (e.g., Jira, Confluence, Figma).
- Excellent written communication skills.
- Bachelor's degree in Computer Science, Engineering, Business, or a related field, or equivalent practical experience.
Nice To Haves
- Background in retail, commerce media, or retail media networks.
- Familiarity with LLM-based products (RAG, prompt orchestration, tool calling, evaluation frameworks, guardrails).
- Working knowledge of cloud data platforms like Databricks, Snowflake, or BigQuery.
- SQL skills sufficient for self-service data analysis.
- Prior experience in a startup or client-facing product environment.
Responsibilities
- Own the roadmap for one or more data and AI product lines, setting priorities, defending trade-offs, and being accountable for results.
- Conduct discovery directly with enterprise clients and internal stakeholders to identify high-value problems.
- Write clear product requirements, including user stories, acceptance criteria, data contracts, edge cases, and definitions of 'done'.
- Collaborate daily with engineering, data engineering, and design teams to sequence delivery, facilitate decisions, and manage scope.
- Define and instrument success metrics such as adoption, data quality, time-to-insight, model reliability, and cost per outcome.
- Lead sprint ceremonies with engineering leads to ensure predictable delivery without over-bureaucratizing the team.
- Translate client feedback, usage data, and support signals into a prioritized backlog of improvements.
- Manage end-to-end product launches, including rollout plans, enablement materials, internal training, and post-launch reviews.
- Communicate roadmap status, risks, and trade-offs to senior stakeholders on both client and ShyftLabs sides.
- Contribute to the evolution of ShyftLabs' product development practices, including discovery, prioritization, and delivery rituals.
Benefits
- Comprehensive Benefits: 100% coverage of health, dental, and vision insurance premiums for employees and dependents, with eligibility starting from day one.
- Growth & Learning: Access to extensive learning and development resources.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
