# Product Manager- Workflows at Phizenix > Remote · region unclear · Unspecified · Product · open. Source: https://alderhq.app/jobs/greenhouse%3Aphizenix%3A5386581008 (read 2026-11-10). ## Facts (observed) - Company: [Phizenix](https://alderhq.app/companies/phizenix) - Location text: Remote; Phizenix - Where it can be done from (inferred): Remote · region unclear (evidence: "Location: Remote; Phizenix") - Posted: 2026-08-11 (91 days ago) - First seen by alder: 2026-11-07 · last verified: 2026-11-08 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://job-boards.greenhouse.io/phizenix/jobs/5386581008 - Skills listed (inferred): SQL ## Pay and sponsorship - Posted pay: $130k–$180k per year (from the listing's pay field) ## Description (the employer's text) We are redefining the operations of brokers, MGAs, and wholesalers. By leveraging an AI-first approach, our platform drives the evolution of the insurance industry, automating workflows and enabling scalable growth across employee benefits and commercial insurance sectors. We’re hiring a curious and ambitious Product Manager who can earn a customer's trust, translate what they learn into crisp product decisions, and work shoulder-to-shoulder with engineering to ship AI that makes a meaningful impact. You’ll transform how the industry grows, operates, mitigates risk and makes decisions. ### What You’ll Do - You’ll work with real users from day one and iterate fast with short feedback loops. - This is a high-ownership role in a fast-moving environment. You’ll serve as the connective tissue between our GTM and engineering teams, navigating ambiguity and making high-impact decisions to ship polished features fast. - Translate industry knowledge into clean, scalable UX that cuts down manual effort - Partner with engineering teams to layer intelligence into every step of the workflow. - Measure adoption, usage, and impact, and iterate based on results Support deals and expansions - Partner with GTM teams on pilot deployments, beta releases, and expansion into new lines, translating commercial needs into product requirements and vice versa. ### What We’re Looking For - 5+ years of product management experience, with at least 2 in B2B SaaS; experience in insuretech, fintech, or enterprise workflow software strongly preferred - Hands-on experience working with engineering teams building AI products, comfortable discussing how AI outputs get evaluated, and how to design features that build trust in AI recommendations - Habitual, fluent user of AI tools in your own day-to-day work, you reach for AI to accelerate research, writing, and synthesis, and you have well-developed instincts about where AI helps and where it falls short - Strong writer, you communicate product rationale clearly in docs, Slack, and in the room with skeptical enterprise buyers - Strong instincts for UX and an ability to simplify complex processes - Clear communicator, fast executor, and strong cross-functional collaborator - Comfortable talking to users, understanding real-world pain, and designing solutions ### Bonus If You Have - Direct experience working at or closely with a retail broker, wholesaler, or MGA - Familiarity with commercial P&C lines or Employee Benefits - Experience building document-processing or workflow automation tools - Comfort with SQL or basic data analysis, you can pull your own numbers when needed - Prior startup experience (Series A–C); you know how to operate without a large support structure ### What You’ll Get - Real ownership of products that insurance teams rely on daily - Competitive salary and meaningful equity - Direct access to users and influence on roadmap decisions - A builder’s culture: low ego, fast execution, and zero politics - Remote-first setup with a globally distributed, high-performing team Remote Pay Range $130,000—$180,000 USD --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Aphizenix%3A5386581008 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.