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Checked on their board 15 Nov

Trail Hiring now

Product Manager

Context layer that gives AI agents business judgment. You'd own product for the governed graph.

Bengaluru, IndiaFull-timePosted 1 month ago
Who to email about itThe Head of Product at TrailTheir email address, hidden
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About the role

From Trail's posting on Ashby, as they wrote it

About Us

Trail is the context layer AI agents run on. We're building the missing layer between your company's rules, exceptions, and institutional knowledge and the agents trying to act on them. It's a governed graph that lets any agent or platform, including Trail agents, make the right call on your most complex business processes. Agents today fail not because models are weak, but because they're never given the judgment a business builds up over years. We're fixing that.

Visit our Website and Youtube to learn more!

Trail is the context layer AI agents run on.

We're building the missing layer between your company's rules, exceptions, and institutional knowledge and the agents trying to act on them. It's a governed graph that lets any agent or platform, including Trail agents, make the right call on your most complex business processes. Agents today fail not because models are weak, but because they're never given the judgment a business builds up over years. We're fixing that.

Learn more about what we're building here

  • Youtube
  • Hugging Face
  • Trail
  • Nanonets Research

About the role

As we continue to scale, we are looking to hire a dynamic and results-driven Product Manager to join our growing team at Nanonets. You will be playing a key role in building solutions and driving forward the product roadmap. You will be deeply engaged in understanding our customers, prioritizing pain points to solve, converting them into detailed stories, and seeing them through to releases.

What we’re looking for

  • 3+ years of experience, including experience working on user-facing SAAS products.
  • At least 2+ years of hands-on experience in software engineering.
  • Background in Machine Learning not a requirement but a major plus.
  • Impact focused and a consistent history of delivering measurable results for both users and the business.
  • Ability to think big and small to build incremental features and prototypes in service of a larger vision. You are as comfortable working in paper-prototypes as you are building out scalable features for demanding enterprise clients and know when to do which.
  • Comfort and skill at presenting to and gaining traction with audiences of all sizes — from executive meetings with our CEO and customer syncs to company all-hands and external events You are a self-motivated team player with the ability to work in fast-paced environments with minimal oversight.
  • Product sense and craftsmanship. You will own important product interactions with every Nanonets customer and should show the attention to detail this responsibility deserves.
  • You listen well. You build consensus by default, but can drive hard decisions when needed. You push the pace. You take blame and pass on praise. People love working with you.
  • B.E/B.Tech or a business graduate from a Tier 1 school.

What you’ll do

  • Develop the product vision, strategy, and roadmap for Nanonets customers to fully deploy Nanonets to serve their partners and customers.
  • Product Strategy: Collaborate with cross-functional teams to define and execute the product roadmap, considering market trends, competitive landscape, and customer feedback.
  • Requirements Gathering: Conduct thorough market research and engage with stakeholders to identify user needs, pain points, and opportunities for product improvement.
  • New Feature Development: Evaluate feature requests and prioritize them based on business value, technical feasibility, and customer impact.
  • Product Development: Work closely with engineering teams throughout the development lifecycle, providing clear requirements, feedback, and guidance to ensure timely delivery of high-quality features.
  • Product Launch: Coordinate product launches, including developing go-to-market strategies, creating marketing collateral, and conducting training sessions for internal teams and clients.
  • Performance Analysis: Define key performance metrics and track product performance post-launch, leveraging data analytics to identify areas for optimization and iteration.

Live on Trail's board as of 15 Nov. We check it every day.

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