Product Engineer

Percepta

$120K — $145K *
Healthcare
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in building production software
  • Fluency in Python and TypeScript
  • Ability to develop abstractions that remain usable over time
  • Real product instinct with a clear vision for users and market fit
  • High agency in ambiguous environments, knowing when to align with others
  • Strong communication skills to convince stakeholders and customers
  • Comfort engaging with customers in their environments

Responsibilities

  • Embed with customer teams to deliver real production work
  • Transform initial concepts into deployable and usable products
  • Generalize prototypes and get them adopted across multiple accounts
  • Own product roadmaps, rollout strategies, and performance outcomes
  • Develop clean, extensible code that teammates can use
  • Contribute reusable components back into the organization
  • Maintain customer relationships after product launch for adoption tracking

Benefits

  • Opportunity to work closely with clients and real-world applications
  • Exposure to real delivery work that builds empathy and understanding
  • High degree of autonomy in product development and decision making
  • Chance to shape the product roadmap and its rollout for broader impact
  • Ability to explore and innovate in the product space
  • Support for professional growth through direct customer engagement
  • Contribute to a meaningful mission in technology and client service
Full Job Description
About the role

We're hiring Product Engineers to build cross-cutting products that become the foundation for multi-engagement tools that enable Perceptrons to more easily deliver their best work, and help to continue to show our differentiation.

Most of Percepta's engineering is forward-deployed, and we believe it's essential for you to get exposure o the field. Our operating model is: Someone embeds with a customer, learns their systems, and ships. That work is real and it's why customers trust us. The products that will generalize across customers don't get built well from a distance, and we are excited to invest in our product team to make sure we have deep focus on getting this right.

In your first several months, you'll work alongside a customer team doing real delivery work as an applied AI engineer: shipping into their environment, sitting with their constraints, finding where the duct tape is. You understand that context is earned, and this is a mission to feel the pain of our engineers and clients in the field, and build a deep sense of empathy and understanding for what you'll build next.

Once you've had ample time to get a deep sense for the places we should invest, you'll have time that isn't attached to a customer contract to get a first working version of something in front of engineering leadership, and you should expect to make the case for it: Who it's for, why it matters past this one account, how it's built, what it does today. If it holds up, you own what comes next. Roadmap, rollout, adoption, all of it.

A meaningful share of your time will be dedicated to exploring and creating product wherever you think the gap is; the rest goes at things we already believe need to exist. The bar for the former is that you can say who buys it, why now, and what it replaces.

Two shapes of product come out of this, and you don't have to pick before you've seen an account up close:

Vertical. Something deep in one industry. Operationalizing a hospital system, for example, where the product is inseparable from how that industry actually runs and the commercial story is specific.

Horizontal. Something every deployment reaches for. Agent tooling, evaluation, deployment surfaces, the layer that makes the next engagement faster than the last.

Same intake either way. Tell us in your application which one you're drawn to and we'll plan to speak with you more about your interest.

What you'll do
  • Embed with a customer team and ship production delivery work, so your product instincts come from somewhere real
  • Take an idea from nothing to something deployable and usable, and make the case for it to the people who'd have to bet on it
  • Turn that prototype into product: Generalize it, harden it, and get it adopted across more than one account
  • Own the roadmap, the rollout plan, and the outcomes for what you build
  • Build things your teammates can pick up and extend: Clear ownership, real interfaces, code that reads
  • Contribute the reusable parts back into Mosaic so the next deployment starts further along
  • Stay close to customers after launch, because adoption is the only proof that any of it worked


What we're looking for
  • 5+ years building production software, ideally including something you took from zero to 1
  • Fluency in Python and TypeScript. Our stack and our interview loop both live there, and ramping on the language while ramping on the domain is a bad trade for you
  • The kind of engineer who builds the abstraction when it doesn't exist yet, and who cares whether it's still usable six months later
  • Real product instinct: You can say who a thing is for, why it matters to them, and how it gets sold
  • High agency in ambiguous problem spaces, paired with the judgment to know when to align instead of sprint
  • Strong communication. You'll spend a lot of this job convincing people, some of whom are customers
  • Comfort being in front of customers periodically and shipping into someone else's environment


Nice to have
  • Workflow orchestration or task execution frameworks
  • Experience building internal developer platforms
  • Deep domain background in healthcare, energy, manufacturing, or financial services
  • Prior forward-deployed, consulting, or design partner work

We're working against an incredibly ambitious mission. It won't be easy, but it will likely be the most fulfilling work of your career. If this excites you, let's chat, even if you don't meet all of the qualifications above.

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