Employee Benefits Lead

<div class="content-intro"><p><strong>About Nayya</strong></p> <p>Founded in 2019, Nayya is on a mission to connect people’s most important information, so they can thrive in their health and wealth. Powered by AI and advanced analytics, Nayya’s platform transforms complex benefits experiences into intuitive, seamless, and ongoing interactions—meeting people's real world needs. As a trusted platform and partner to leading employers, benefits solutions, and HR tech providers, Nayya unlocks long-term value through helping employees live more resilient lives. Backed by strategic investors like ICONIQ, Felicis Ventures, SemperVirens, Workday Ventures, MetLife Nextgen Ventures, and ADP Ventures, Nayya is ushering in the future of health and wealth for all.</p> <p class="p1">&nbsp;</p></div><p><span style="font-size: 10pt;">Nayya is building the future of employee benefits — ensuring smarter, more personal, and genuinely useful benefits experiences for millions of people every year. We're looking for a Benefits Product Specialist to sit at the intersection of deep industry expertise and product innovation. This isn't a traditional role. You'll be the benefits domain authority for our product and engineering teams — the person who can answer the hard questions about self-insured plan mechanics at 10am and review a prototype for a new benefits recommendation flow at 2pm. You'll cut through the noise, accelerate product development, and help the team build things that are genuinely right for employers and employees.</span></p> <p><span style="font-size: 10pt;">If you've spent years in benefits consulting, brokerage, HR, or insurtech — and you're ready to bring that expertise into a fast-moving product environment — this role was designed for you.</span></p> <h1><span style="font-size: 10pt;"><strong>Role &amp; Responsibilities</strong></span></h1> <h2><span style="font-size: 10pt;"><strong>Be the Benefits Brain Trust</strong></span></h2> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Serve as the internal subject matter expert on employee benefits for product, engineering, and design — fielding questions ranging from "how does stop-loss work" to "what does a TPA actually do with this data"</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Build and maintain living documentation on benefits concepts, plan mechanics, and industry norms so the team doesn't have to re-research the same ground</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Review product specs, user flows, and engineering designs for benefits accuracy and flag gaps before they become expensive mistakes</span></li> </ul> <h2><span style="font-size: 10pt;"><strong>Accelerate Product Development</strong></span></h2> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Work directly with PMs and engineers to translate benefits complexity into clear, actionable product requirements</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Own benefits research so the team can move faster — no more engineers Googling "what is an embedded deductible" mid-sprint</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Help define the "right" answer on ambiguous benefits questions where there isn't one standard, and give the team the confidence to ship</span></li> </ul> <h2><span style="font-size: 10pt;"><strong>Prototype &amp; Innovate with AI</strong></span></h2> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Build and iterate on benefits-related prototypes using AI tools — you don't need to write production code, but you should be comfortable in a low-code / AI-assisted development environment</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Identify opportunities where AI can improve how employees understand, select, and use their benefits — and bring those ideas to the table with enough specificity to act on</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Stay current on how LLMs and AI tools are reshaping benefits delivery and bring that perspective to Nayya's roadmap</span></li> </ul> <h2><span style="font-size: 10pt;"><strong>Mentor &amp; Elevate the Team</strong></span></h2> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Run informal benefits education sessions for product, engineering, and sales teams</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Help onboard new team members on the fundamentals — and the nuances — of how employer benefits actually work</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Be a resource for customer-facing teams navigating complex employer or member questions</span></li> </ul> <h1><span style="font-size: 10pt;"><strong>What We're Looking For</strong></span></h1> <h2><span style="font-size: 10pt;"><strong>Benefits Expertise (Required)</strong></span></h2> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">3–8 + years of experience in employee benefits — consulting, brokerage, carrier, TPA, HR, or benefits technology</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Genuine fluency in the fundamentals: fully insured vs. self-insured, stop-loss (specific and aggregate), underwriting, claims data, plan design, COBRA, FSA/HSA/HRA, and EOB interpretation</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Familiarity with how employers actually make benefits decisions — renewal cycles, broker relationships, plan benchmarking, and the role of the CFO vs. HR in those conversations</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Comfort with the messiness of real-world benefits data — inconsistent carrier feeds, plan mapping challenges, formulary changes, and network nuances</span></li> </ul> <h2><span style="font-size: 10pt;"><strong>Product &amp; Technology Sensibility (Required)</strong></span></h2> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Experience working in or alongside a product or technology team — whether as a technical PM, a benefits tech implementation lead, or a consultant who's done deep work with HR/benefits platforms</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Ability to translate domain expertise into crisp, actionable requirements that engineers can build from</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Self-starter mentality: you're comfortable making judgment calls, driving toward clarity, and operating with ambiguity</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Demonstrated use of AI tools in your workflow — ChatGPT, Claude, Copilot, Cursor, or similar — and genuine curiosity about where they're headed</span></li> </ul> <h2><span style="font-size: 10pt;"><strong>Nice to Have</strong></span></h2> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Experience writing code or working in a technical capacity (even lightly) — Python, SQL, or prompt engineering all count</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Prior experience at a benefits technology company (Businessolver, bswift, Benefitfocus, League, etc.) or at a large brokerage / consultancy (Aon, Mercer, WTW, Lockton, etc.)</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Familiarity with how LLMs work and where they break down — enough to evaluate AI-generated benefits content critically</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">CEBS, GBA, or other benefits credentials</span></li> </ul> <p><span style="font-size: 10pt;">We know this is a specific profile. Here's what we're really looking for underneath the resume:</span></p> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">You've been the person colleagues come to when a benefits question stumps the room — and you actually enjoy that</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">You get frustrated when technology gets benefits wrong, and you have opinions about how to fix it</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">You've played with AI tools enough to have a real point of view — not just "it's cool" but "here's how it could change how employees engage with their benefits"</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">You're ready to leave the comfort of a pure consulting or brokerage role and take ownership in a product environment where your work ships to real users</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">You can talk credibly to a CFO about self-insured risk and then turn around and give an engineer a precise data spec — in the same day</span></li> </ul> <p>&nbsp;</p> <p><span style="font-size: 10pt;">The salary range for New York based candidates for this role is $130,000- $190,000, commensurate with the broad range of experience for this position. We use a location factor to adjust this range for candidates that are located outside of geographic region of our New York office. Placement within the salary band is determined based on experience.<span class="Apple-converted-space">&nbsp;</span></span></p> <p><span class="Apple-converted-space">#LI-HYBRID&nbsp;</span></p> <p>&nbsp;</p><div class="content-conclusion"><p>Nayya is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics</p></div>