Product Manager (Contracting/Action Processing)

impact.com, Santa Barbara, CA +3

What you need

Several years of product management experience (typically 3+) with evidence of independent feature ownership and delivered outcomes in a technical or systems-heavy product — not only participation on a squad.
Proven ownership mindset: you can point to features or initiatives you owned end-to-end, how you defined success, and what changed after ship (metrics, quality, adoption, or business impact).
Background in engineering or computer science — through degree and/or prior hands-on engineering experience.
Technical PM profile: you have already operated in systems-heavy domains; you dig into how systems work, map cross-squad dependencies, partner fluently with engineers, and write requirements that reflect real constraints — not only customer asks.
AI-native building with a portfolio you can walk through (work or personal): real artifacts built with AI tools/agents (specs, prototypes, scripts, internal tools, experiments). Demonstrated habit, not an interest area.

impact.com, Santa Barbara, CA +3

$105K–$124K

a year

This base pay is below the median for product management jobs in other US places with no level in the job title.

We compare the middle of each posted range. This is base pay as posted. The group does not include this job.

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Several years of product management experience (typically 3+) with evidence of independent feature ownership and delivered outcomes in a technical or systems-heavy product — not only participation on a squad.
Proven ownership mindset: you can point to features or initiatives you owned end-to-end, how you defined success, and what changed after ship (metrics, quality, adoption, or business impact).
Background in engineering or computer science — through degree and/or prior hands-on engineering experience.
Technical PM profile: you have already operated in systems-heavy domains; you dig into how systems work, map cross-squad dependencies, partner fluently with engineers, and write requirements that reflect real constraints — not only customer asks.
AI-native building with a portfolio you can walk through (work or personal): real artifacts built with AI tools/agents (specs, prototypes, scripts, internal tools, experiments). Demonstrated habit, not an interest area.