Product Manager

Tallo•US - VA - Remote, VA

2d•$84,457 - $120,000•Remote

About The Position

Tallo is a career discovery and talent connection platform that helps nearly 2 million users—mostly students and early-career talent—explore what they're capable of. We connect them with jobs, apprenticeships, scholarships, and learning opportunities. We believe skills and potential matter more than pedigree. Someone who learned through an apprenticeship or taught themselves should have the same shot as someone with a four-year degree. That's the world we're building toward. We’re looking for a Product Leader who is energized by ownership of outcomes, not output. Your job isn’t to write the most thorough spec; it’s to figure out the right problem to solve, define what winning looks like, and partner with engineering and design to ship something real that moves the needle for our users. At Tallo, you’ll shape products for students figuring out their futures, people exploring apprenticeships and alternative pathways, and workers building new skills without going back to school. We believe talent is equally distributed but opportunity is not… and your work helps close that gap. This role sits at the center of a small, fast-moving team where engineers and designers own a lot. We need a product thinker who can turn fuzzy user needs into clear bets, rally a team around them, and learn fast.

Requirements

Five (5) years of relevant experience preferably in a combination of the areas below:
Experience in ed-tech, career or college readiness, workforce, or two-sided marketplaces
Enough technical fluency to partner closely with engineers (especially product engineers, who own more of the build)
Experience on lean teams that ship without a dedicated product owner or scrum master, perhaps without dedicated QA
A track record of owning product outcomes: you can point to a problem you framed, the metric you moved, and how you knew it worked.
Fluency with metrics and experimentation: you’re comfortable defining success measures, reading data, and designing tests to validate (or kill) an idea.
Comfort working lightweight: you can drive alignment with a story map or one-pager and don’t reach for a heavy process or a thick PRD by default.
A genuinely collaborative style: you work shoulder-to-shoulder with engineers and designers, share work-in-progress early, and have no ego about whose idea wins.
A bias to action: you move fast, learn fast, ship small slices, and are comfortable making decisions without a perfect spec.
Strong product judgment: you can articulate the specific user problem you’re solving and why it matters, and you separate signal from noise.
Clear communication: you convey the why, the bet, and the metric simply, and adapt your message to engineers, designers, leadership, and users.
Ability to clear required background check

Nice To Haves

Degree(s)
Management experience

Responsibilities

Own the “why” and the “what.” Translate user needs and business goals into a clearly-framed problem and a crisp definition of success, and then guide the team in owning the “how.”
Collaborate with other product leaders to define the metric that matters. Set the outcome you’re driving toward, instrument it, and measure success by user behavior change over features shipped.
Work lightweight. Use story maps, one-pagers, and just-enough framing to align the team. We favor working software over comprehensive documentation; you won’t get extra credit for writing exhaustive PRDs or hand-detailing acceptance criteria if it’s not actually used by developers and designers.
Partner directly with engineers and designers. Collaborate in real time, every day.
Push for experimentation and validation. Form hypotheses, design the smallest test that produces real learning, and adapt based on evidence.
Ship true MVPs. Know the difference between a real minimum viable test and a watered-down v1. Get something in front of users quickly, then improve.
Prioritize ruthlessly. Protect the team’s capacity for high-leverage work. Say no to good in service of great, and kill work that won’t deliver value (without ego or sunk-cost thinking).
Keep the user at the center. Stay close to real users, synthesize what you learn, and make sure every bet connects back to a user reaching a career milestone.
Use AI as a tool. Lean on AI thoughtfully to move faster and sharpen your thinking, but not as a replacement for talking to users or good judgment.