1:00 PM - 2:00 PM
Senior Product Manager Interview
Sarah Jenkins

Lazer
·12 hours agoLazer
·12 hours agoLocation
remote (anywhere)
Commitment
Full Time
Level
Senior (5+ years)
Lazer is a world-class digital product studio composed of 180+ senior engineers and designers with backgrounds from companies like Apple, Google, Coinbase, and more. With our product experience, we have designed, engineered, and grown products from $0 to $200M in revenue.
Clients seek out our help because we have the talent to deeply understand their needs and provide industry, technical, or product insights that are uniquely valuable to their efforts. Our clients range from early-stage startups and venture studios to recognizable retail brands and exciting enterprises. Some of our notable clients include Google, Shopify, Coinbase, Alchemy, Hinge, OVO, Polymarket, and more.
We are a remote-first organization headquartered in Toronto, Ontario, with employees worldwide. We believe in providing the best experience possible for all Lazerites by fostering a strong community through regular events, company vacations, competitive compensation, unlimited PTO, and more!
Join Lazer and help us solve problems and build the next generation of products!
You'll be the technical lead on new client pursuits, working directly with engineering leaders and business stakeholders at enterprise and high-growth companies. Most of the work is AI, including agentic customer experience systems, workflow automation, and enterprise AI platform rollouts, with builds in fintech, healthcare, and crypto as well. You'll own each opportunity from first conversation to signed work and design solutions for a wider range of problems than you would selling a single product.
Typically 6+ years in client-facing technical work, such as technology consulting, solutions engineering or architecture, pre-sales at a services firm or AI company, or selling your own product as a technical founder.
Exceptional communication with technical and non-technical people alike, proven by taking a skeptical engineering leader's hardest questions on architecture, cost, and risk in the room, then explaining the same solution to executives and business teams in plain terms they can act on.
A track record of taking deals from first conversation to signed statement of work, building rapport quickly and winning on credibility, without pressure tactics.
Structured problem-solving that turns a vague client ask into a clear problem, options with tradeoffs, and a recommendation an executive can act on.
Experience guiding enterprise buyers through multi-stakeholder decisions, including the business case, procurement, and security review.
A hands-on technical background as a software engineer, solutions architect, ML or data practitioner, or technical product manager who worked close to the code.
Enough architectural depth to reason about integrations, data flows, and effort, so engineers agree with your scopes.
Strong working knowledge of agentic systems, customer experience agents, retrieval, and evaluations, including where they fail and what they cost to run.
Current knowledge of models and platforms, enough to recommend one over another on cost, latency, data handling, and fit.
Experience writing proposals, scopes, and estimates that won work and held up in delivery.
Commercial judgement about how solution design affects revenue, margin, and delivery risk, so your scopes win and still make money.
AI-native in your daily work, using AI tools to prepare for calls, draft proposals, and turn a client conversation into a working demo within days.
Comfort working many opportunities across industries at once, knowing when a deal needs more depth and when it has enough, and staying composed when requirements are vague.
The following would be a bonus experience to have, though highlight any additional experience or skills you may have. We like working with people with varied backgrounds and experiences.
We use AI to help us review and shortlist applications based on job-related criteria. A human hiring manager always makes the call on who moves forward. As a company that builds with AI every day, we're all for candidates using it too — just be upfront about how it helped.