Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 401 days ago

Founding Engineer

Keplar.io2 open roles

Where
Toronto (Canada)
Work mode
Remote
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowFounding EngineerKeplar.io · Toronto (Canada)

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Keplar.io's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.2%3 days
  3. 11.3%7 days
  4. 17.6%14 days
  5. 34.3%30 days
  6. 43.5%60 days
This job: posted 401 days ago

The posting

FOUNDING ENGINEER

tl;dr: We're hiring our founding engineers to help scale Keplar to the next breakout growth milestone. You'll work directly with our CEO and founding team to solve some of the most interesting and challenging problems in software today: building novel voice interfaces, deploying agents to scale, running applied R&D experiments, and shaping a product that's redefining how enterprises learn about their customers. This is a high-ownership, high-impact role for someone excited to bet on a career-defining opportunity at a fast-moving, venture-backed startup.

ABOUT KEPLAR

Keplar http://keplar.io is an AI-powered market research platform that enables companies to conduct qualitative research at quantitative scale. Our mission is to enable all businesses to grow by being customer-obsessed through the power of AI. Using advanced voice AI and agentic analysis, Keplar helps businesses have natural conversations with hundreds of customers simultaneously, transforming months of research into insights within hours.

Founded in 2022 and backed by Kleiner Perkins, SV Angel, Common Metal, and South Park Commons, Keplar serves leading brands including Clorox, Intercom, SC Johnson, Tecovas, and Marzetti.

We're reinventing market research, insights, and customer understanding — a critical but underserved part of business — which directly impacts innovation, marketing, and positioning for iconic brands.

WHY KEPLAR

- Explosive growth: We're seeing traction across mid-market and enterprise, averaging six-figure deals and high-velocity sales cycles.

- Product-market fit: We close at a high rate, and most deals are driven by real customer pain — meaning we rarely compete on price.

- High Performance team: Big-tech rigor meets startup speed and ferocity — with experience from Research at Google, Engineering at Meta, and growth at Samsara. We believe great things get built by lean, tight-knit teams chasing big ideas.

- Industry recognition: Featured in TechCrunch (Sept 2025), a16z, and Foundation Capital for redefining the future of customer research.

- Massive market: The customer understanding market is huge, with growing demand for tools that help run end-to-end workflows and deliver high-quality customer insights with speed and scale.

WHAT YOU'LL DO

As a founding engineer, you'll own core parts of the product stack and help chart the technical direction of the company. Expect to work across full-stack engineering, UX, and infrastructure, with impact that's visible from day one.

- Build product development harnesses: Design agentic coding workflows using tools like Claude Code to create automated development and verification loops, enabling engineers to ship features faster through AI-driven implementation, testing, and iteration.

- Push the boundaries of voice agents: Deploy robust voice data pipelines for dynamic, 1-1 human conversations, reasoning, and analysis at scale.

- Rethink user flows with agent-led UX: Keplar's backend is agent-led, meaning users access many of our features by talking to an agent. Build the future of agent-led UX and lead experiments with generative UI.

- Scale infrastructure: Design systems that reliably run high volumes of AI-mediated interviews concurrently, manage growing datasets, and integrate securely into enterprise workflows.

- Shape the foundation: Establish engineering best practices in the agentic coding era, mentor early hires, and contribute to a culture of speed, rigor, and craftsmanship.

- Close the loop: Work closely with Growth and Customers to bring product feedback into the roadmap, ensuring we're building the right things at the right time.

WHAT WE'RE LOOKING FOR

AI turned impossibly ambitious projects into execution problems. The constraint is no longer ideas — it’s shipping.

We’re hiring engineers with 5–7+ years of experience who can move fast, make good decisions under ambiguity, and consistently deliver.

A BUILDER

You want to build ambitious projects: to build something 10x better than what exists, not 5% cheaper. The way you get there is by shipping. Constantly. Simple, extensible, maintainable at our current scale. You're not process-heavy and you're not chasing technical purity. It isn't vibe coding; it's scaled-up delivery focused relentlessly on the product and the customer. Output is the path.

HIGH AGENCY

You don't wait for a spec. You go find it. Industry context, customer calls, the half-formed requirement nobody's written down yet: figuring it out is part of the job. You make calls on your own. Some will be wrong, and that's the point: you learn fast and keep iteratively improving.

ENTERPRISING

Enterprising AI has raised what one person can deliver, and you ride that wave. You embrace agentic coding, follow what's new, and get more effective every week. But you're allergic to AI slop. You care deeply about what you put your name on. AI is widening the gap between good engineers and great ones. The great ones use it as leverage without losing their craft. That's you.

This is the synthesis we're betting on: builders who use AI as leverage to attempt what wasn't possible a year ago. If that's you, the rest follows.

WHAT YOU BRING

- 3–7+ years building full-stack software. Bonus if you've touched voice or chat agents.

- Proficiency in Typescript, SQL databases, and cloud infrastructure.

- You've shipped real things in real startups: 0→1, 1→10, ideally both.

- Real depth in full-stack web and backend systems. ML/AI pipelines and real-time/voice infrastructure are a bonus.

- Genuine curiosity for applied R&D: LLMs, voice generation, speech recognition, reasoning models.

- Bonus: prior experience with enterprise SaaS, research/insights tools, or scaling products with heavy data/compute requirements.

COMPENSATION

This is a full-time role with a competitive salary and meaningful early-stage equity. You'll be joining at the ground floor, with the ability to shape both product and culture.

We want this to be the most rewarding role of your career.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Keplar.io's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Keplar.io's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Keplar.io's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.