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Slang AI, headquartered in NYC, seeks an experienced Product Manager to own multiple product areas and drive AI-driven customer outcomes. You’ll collaborate with design and engineering, lead discovery and execution, and influence cross-area prioritization while reporting to the Head of Product.
Hybrid role with three days in NYC HQ and occasional travel. You’ll work across voice AI and conversational features, partnering with cross-functional teams to ship impactful experiences and shape team
You’ll join Slang’s Product team owning multiple product areas, or a single area with company-critical scale. Your work will help restaurants operate with AI-driven efficiency and deliver better customer service through natural conversation, directly affecting thousands of restaurant interactions every day.
In a given month, you might be scoping a voice AI conversation-quality problem, rethinking an onboarding flow, untangling a billing edge case, or making the case for a platform investment that unblocks two other teams’ roadmaps. You’re expected to work full stack as a product leader, comfortable running ambiguous 0-to-1 discovery one week and well-scoped execution the next, moving between a customer discovery call and a technical trade-off conversation with engineering.
You’ll report to the Head of Product. This role doesn’t have formal reports, but you’ll regularly coordinate work across other PMs on cross-area initiatives, and you’ll be expected to weigh in on how the broader team runs discovery and prioritization. The role includes key ceremonies such as daily standups, biweekly cycle planning, and weekly product leadership meetings. Engineering and design will look to you for judgment calls with little day-to-day oversight; leadership will look to you to turn what’s happening in the product into decisions they can act on.
Day to day, you’re running customer and prospect calls, using AI tools for research and prototyping, collaborating with design and engineering, and communicating across Slang. The role is hybrid, based in our NYC HQ three days a week, with occasional travel for company offsites.
Slang’s product culture is data-driven. Data of all kinds informs our product decisions: market research, usage and performance analytics, usability testing, RICE scoring, and more. To do your job well, you’ll have access to Slang’s suite of data, and you’ll be empowered to dig deep.
We’re also AI Native, so using AI tools to research, prototype, and deliver is expected. Slang has a culture of open sharing and experimentation, so you’ll be learning alongside your teammates in the rapidly changing AI space.
Growth here is concrete. You’ll have the option to build toward people management, since strong performance at this level is the track most PM managers at Slang came up through. Day to day, that growth looks like mentoring other PMs on discovery and prioritization craft, and helping shape team-wide rituals like roadmap reviews and planning cadence.
You will:
This role offers real scope and a good amount of ambiguity to manage on your own.
Doing this job well will change how you think about product work: you’ll stop treating “AI PM” and “generalist PM” as different skill sets, and start treating judgment and prioritization craft as the thing that transfers across whatever you’re handed.
Compensation for this role is benchmarked against local market data for the employee’s primary work location. Total compensation includes a mix of cash and equity. The base salary range for this role is $189,000 to $211,000. Final pay depends on skills, experience, and location.
Calling a business shouldn’t feel like a robot-hostage situation, where you’re forced to listen to horrible music and can’t reach a human, while enduring a soulless voice uttering “I’m sorry, I didn’t quite get that” on repeat for eternity. (Shudder.) That’s why we started Slang AI. We use the latest AI and audio wizardry to make transacting via voice so enjoyable it’s more human than human. By 2030, we will save businesses and consumers 1 billion minutes of precious time while transforming voice channels into the preferred mode of communication (it’s faster and easier than text).
We have backgrounds building product at companies like Spotify, BuzzFeed, the New York Times, and OpenTable, shipping experiences that have reached hundreds of millions of users. Now, we’re using our backgrounds to build a culture that puts product and human‑centered design above all else while fostering constant learning and growth. Sound like something you’d like to be part of? Get on board.