Senior Product Manager, Enterprise
Listed on 2026-08-02
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Software Development
Location
USA | Remote
Employment TypeFull time
Location TypeRemote
DepartmentProduct
Compensation- San Francisco, NYC & Seattle Base Salary Range $178K – $223K
- Offers Equity
- Offers Bonus
- Everywhere else in the U.S.Base Salary Range $165K – $206K
- Offers Equity
- Offers Bonus
This range is determined by work location and additional factors, including job-related skills and experience. There may be instances where a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
Please note that the compensation details listed on US role postings reflect the base salary only and does not include bonus, equity or benefits.
Company Overviewthe company is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents e than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by the company’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. the company’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency.
Backed by a recent Series C led by leading global investors and strategic partners, the company has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than the company.
At the company, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at the company is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Overviewthe company's next phase of growth is upmarket. Our customers have increasing compliance needs and are security-conscious buyers with sophisticated procurement orgs.
This role owns that problem space: making the company enterprise-ready and removing the product blockers that stall upmarket deals. Enterprise buyers don't evaluate readiness as a feature. They evaluate it as a package — identity, security, compliance, and the experience their teams touch — and the absence of any one piece stalls a deal in security review. You own the outcome and ship the fix wherever it belongs: in Console, in our APIs, or in the managed endpoint, partnering with the PMs who own those surfaces.
Today that means enterprise SSO, FedRAMP/FIPS readiness, SBOM and security-artifact self-serve, and a user experience that signals maturity. The specifics will shift as we move upmarket; the mandate won't. This is high-leverage work with real autonomy. You set enterprise product strategy for a Series C company's core upmarket motion while owning a pillar of the business's strategy, with an explicit path to Staff as your scope grows.
WhatYou'll Do
- Own the enterprise adoption problem space end to end: the procurement, security, compliance, and UX storylines that have to work together to win upmarket deals.
- Set strategy, sequencing across enterprise initiatives which today includes SSO, compliance readiness, and our Console UX, and defend that prioritization with data.
- Ship solutions on whatever surface fits the problem:
Console, APIs, or the managed endpoint. You own the problem and partner with the PMs who…
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