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Percepta

Embedded Product Manager

New York CityOnsite · United States
FullTime · Product
POSTED 15 JANVERIFIED 8H AGO
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Role
298 days opentrue age
Posted 15 Jan
Payats field
$150k–400kposted
▲ +38% vs market median $200k
$150k$400k
Market p25–p75
$164k–$228k
New York · n=107 · 365d to 6 Nov
CompanyPercepta →
13open roles
Opened · 30d
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Closed · 30d
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3d of snapshots · 30d window
Market
3,991open · Product
Opened · 7d
+2526% of open
All product
8,135open
All tracked boards · live 10 Nov · n=3,991
AWS

Who We Are

Percepta’s mission is to transform critical institutions with applied AI. We care that industries that power the world (e.g. healthcare, manufacturing, energy) benefit from frontier technology.

To make that happen, we embed with industry-leading customers to drive AI transformation. We bring together:

Forward-deployed expertise in engineering, product, and research

Mosaic, our in-house toolkit for rapidly deploying agentic workflows

Strategic partnerships with Anthropic, McKinsey, AWS, companies within the General Catalyst portfolio, and more

Our team is a quickly growing group of Applied AI Engineers, Embedded Product Managers and Researchers motivated by diffusing the promise of AI into improvements we can feel in our day to day lives.

Percepta is a direct partnership with General Catalyst, a global transformation and investment company.

About the role

As an Embedded Product Manager (EPM) at Percepta, you will collaborate with a team of engineers and researchers to define how a company reinvents themselves with AI.

EPMs shape AI transformation strategies that executives can believe in, teams are excited by, and that can create outsized value.

We care deeply about delivering real outcomes: ensuring that products are adopted, loved and scaled, without shying away from the complexity of real data and real users.

We are creative problem solvers and relentlessly practical: we continuously iterate towards finding the right long-term and short-term tradeoffs, running experiments to validate value and understanding when to leverage our research team for when we need to push the envelope.

As an early EPM team member you’ll play a huge part in shaping which customers we target, the product abstractions we invest in and the culture of how we build together.

Responsibilities

This is a lead role with outsized responsibility. The work will range from shaping and executing the AI vision of a F500 company to directing a team of world-class researchers and engineers.

Collaborate with customer stakeholders to define their long-term AI strategy and transformation roadmap.

Work backwards from the long-term vision to prioritize specific use cases that connect our ambition to immediate business value.

Deliver high value workflows by leveraging partners, GC’s startup ecosystem, and building greenfield products.

Design high-value workflows with our engineers and researchers.

Iterate quickly based on user feedback and partner closely with stakeholders to ensure what we build is loved and trusted.

Create systems to quantify the impact of our work and tie to top-level business impact

Translate learnings into reusable playbooks that help us drive faster change with future customers.

If you’re excited by the idea of being embedded inside companies at their most pivotal moments, shaping how AI evolves a business, and seeing your work drive tangible transformation in weeks, not years, then let’s chat.

Profiles we’ve seen thrive in this role

Former founders who want high ownership and extremely high leverage outcomes.

Former engineers who are drawn towards scaling their impact in a more product-forward role (while still being able to build the 0→1 prototype on occasion)

Ex-consultants who enjoy strategy but crave less red tape and more rapid and iterative implementation

Product managers who want to work on ambitious problems with high-charisma, generative engineers

The list is by no means exhaustive and we intentionally do not want to limit ourselves to the experience above. That said, if any of the above does sound like you then we think you might love it here.

You may be a good fit if you

Have a proven track record of executing end-to-end on large and complex products in ambiguous environments

Abstract complex systems into the right level of clarity, whether for end-users, engineers, or executives.

Are motivated by working on high leverage, impactful problems in industries that matter

Exhibit extreme agency and bias towards action. You are fundamentally a “so instead I...” person

Source · PerceptaFirst seen 2 NovOriginal ↗