Product Manager - Data

About the Role & Company
Taglynk is recruiting on behalf of a fast-growing, venture-backed company at the forefront of the AI-driven data revolution. The company addresses a critical challenge in enterprise analytics: managing high volumes of complex data operations amidst a shortage of skilled data talent. Their mission is to automate and accelerate data operations, enabling data teams to focus on driving core business outcomes.
With a pioneering agentic AI platform and virtual teammate technology embedded into popular workflows—including developer extensions used across 50+ countries—the company is transforming how data teams document, optimize, and manage their workflows. Trusted by Fortune 1000 enterprise clients and hundreds of active business accounts, the organization is backed by top-tier investors and guided by Silicon Valley veterans with proven track records of scaling companies from startup to IPO.
Your Impact
To support accelerating customer demand, Taglynk's client is expanding its core product team. In this role, you will help scale the capabilities of the agentic AI platform by envisioning, scoping, and launching next-generation functionality.
What Makes This Opportunity Special
Native GenAI Product Experience: Build native GenAI products designed from the ground up, rather than retrofitting GenAI features onto legacy tools.
High-Growth Trajectory: Gain early-stage experience during a period of rapid organizational expansion.
Direct Leadership Access: Collaborate directly with founders to shape engineering initiatives, product direction, and go-to-market strategies.
Accelerated Career Path: Step into an influential role with the opportunity to lead teams and shape strategy as the product scales.
What You’ll Do
Define Product Strategy & Roadmap: Identify key use cases through direct engagement with customers and build actionable product roadmaps.
Shape User Experience: Partner with UX designers to transform product vision into intuitive interfaces tailored for native GenAI interactions.
Deliver Core Functionality: Work alongside engineering teams to deliver features that exceed customer expectations and push technical boundaries.
Champion User Needs: Serve as the internal voice of end-users across thousands of active company deployments.
Enable Sales & Enterprise Growth: Provide technical and product support during pre-sales and post-sales stages for key enterprise clients.
Collaborate with Marketing: Align on product positioning, messaging, pricing, and lead-generation strategies.
Who You Are
Proven Data Product Experience: 7+ years in enterprise product management, with a track record of developing and launching technical products for data engineers.
Technical Expertise:
Deep understanding of modern data stack concepts, including ELT pipelines, data warehousing, data quality frameworks, and workload orchestration.
Hands-on familiarity with tools such as dbt, Snowflake, Spark, Fivetran, and Airflow.
Solid foundation in AI technologies, including LLM frameworks, RAG architectures, and AI evaluation methodologies.
Cross-Functional Leadership: Strong ability to align engineering, design, and business teams toward shared objectives through influence and collaboration.
Strategic Problem Solver: Analytical mindset with a demonstrated ability to navigate ambiguity and solve complex customer problems.
Startup Agility: Prior experience in Series A or B-stage startups with a track record of thriving in fast-paced environments.

Work arrangement
Hybrid