Senior HRBP at Kikoff

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Aug, 26

Salary

210000.0

Posted On

08 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

HR Business Partnering, AI Automation, Employee Experience Design, Compensation Planning, Performance Management, HR Analytics, Employee Relations, Workforce Planning, Technical Leveling Frameworks, Product Management Mindset, Data-Driven Decision Making, IPO Readiness

Industry

Software Development

Description

Kikoff: A FinTech Unicorn Powering Financial Progress with AI At Kikoff, our mission is to provide radically affordable financial tools to help consumers achieve financial security. We're a profitable, high growth FinTech unicorn serving millions of people, many of whom are building credit or navigating life paycheck to paycheck. With innovative technology and AI, we simplify credit building, reduce debt, and expand access to financial opportunities to those who need them the most. Founded in 2019, Kikoff is headquartered in San Francisco and backed by top-tier VC investors and NBA star Stephen Curry. Why Kikoff: This is a consumer fintech startup, and you will be working with serial entrepreneurs who have built strong consumer brands and innovative products. We value extreme ownership, clear communication, a strong sense of craftsmanship, and the desire to create lasting work and work relationships. Yes, you can build an exciting business AND have real-life real-customer impact. Senior HR Business Partner, Engineering & Data Kikoff is looking for a Senior HR Business Partner to support Engineering and Data — a 50+ person team at the center of a profitable, pre-IPO consumer fintech — and to lead the AI-driven evolution of how we run the People function. This is not a traditional HRBP role. You will operate as a product manager for the employee experience, designing, building, and maintaining AI-powered workflows and agents across the full employee lifecycle. You will also be the embedded People partner to the CTO's Chief of Staff, engineering and data leaders, and the managers who run our day-to-day delivery. Your success will be measured through quantifiable improvements in talent outcomes, the quality and reliability of the AI workflows and agents you build, and your ability to influence culture and organizational effectiveness through data-driven insights. This role reports to the VP of People and works in close partnership with CTO and his Chief of Staff. You'll also collaborate with Recruiting, People Analytics, and People Operations on the systems that run underneath this work. This is a senior individual contributor role — no direct reports — with significant ownership over how Engineering and Data operate as a team. What You'll Do Operate as a product manager for the employee experience. Own the build, launch, and maintenance of AI-powered workflows and agents across the lifecycle moving us from multi-week HR cycles to fast, automated ones Architect the foundational talent systems for Engineering and Data: career ladders, and promotion criteria, including the technical and behavioral expectations at each level Drive comp planning end-to-end (merit, equity refresh, promotion increases, out-of-cycle adjustments) and coach managers through the full performance lifecycle, including the harder calibration and feedback conversations Build automated dashboards and predictive analytics that let leadership make evidence-based decisions on engagement, attendance, learning ROI, retention risk, and high-potential identification Own employee relations for the Eng and Data populations — investigations, performance management, accommodations, and sensitive transitions — coordinating with Legal and the VP of People Partner with Recruiting on workforce planning, role architecture, leveling decisions, and offer construction for senior technical roles, and support immigration cases (H-1B, green card, wage-weighted lottery) with our external counsel Use data to shape policies on remote work, time off, and professional development, and build manager development and skill-gap-driven programs for Eng and Data leaders Support IPO readiness workstreams that touch the Eng and Data populations, including workforce compliance, equity education, and SEC-required disclosures About You 5+ years of progressive HR experience, including at least 3 years in an HRBP role at a venture-backed tech company, with deep experience partnering with technical functions — ideally Engineering, Data, or Product. An advanced degree in Industrial & Organizational Psychology, HR, Business Analytics, or a related field is a plus A builder with a product mindset — comfortable writing PRDs, managing a backlog, and iterating on tools and agents. You ship, learn, and improve rather than wait for perfect conditions An AI-forward practitioner who has moved past using AI to answer questions and is actively building automation into the way HR work gets done Strong analytical and statistical skills, with hands-on experience in HR analytics tooling. Comfortable building models that go meaningfully beyond survey averages and headcount reports Fluent in technical comp and engineering leveling frameworks (IC ladders, management tracks, dual-track architectures), with a point of view on what makes them hold up under real-world calibration A first-principles thinker — comfortable challenging traditional HR "best practices" when data or technology suggests a better path Direct experience partnering with senior technical leaders (CTO, VPE, Director-level engineering managers) as a trusted partner, not a service provider, including the judgment calls that come with employee relations work — investigations, accommodations, terminations You read situations the way a good manager would — you can tell when an ER case is really about a manager problem, when a comp request is really about a title problem, and when a "process" complaint is really about something else Kikoff: A FinTech Unicorn Powering Financial Progress with AI Kikoff is an AI-first fintech company on a mission to empower people to achieve financial security. As a profitable unicorn, we've helped over 2 million customers build credit and take control of their financial futures. Our products — including our top-rated credit builder, AI debt negotiator, and AI credit disputes tool — are the highest-rated in their categories on both iOS and Android. Backed by top-tier venture capital, Kikoff is growing fast and building toward IPO. Why Kikoff Joining Kikoff means working at a company where the mission is real and the impact is measurable. You'll work alongside a lean, high-caliber team that values ownership, candor, and speed. The problems are complex, the pace is fast, and the opportunity to shape how millions of people interact with financial products is rare. 💰 US salary range: $170,000 – $210,000 base + equity 🏥 Medical, dental, vision — Kikoff covers the full cost for employees, 50% for dependents 📈 Stock options 🛃 Visa sponsorship available Equal Employment Opportunity Statement: At Kikoff, we are committed to providing equal employment opportunities for all applicants and employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other classification protected by applicable law. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. ## NOTICE TO RECRUITING AGENCIES Kikoff does not accept unsolicited resumes from recruiting agencies or search firms. Any resume or candidate profile submitted without a signed agreement and approved job order will be considered the property of Kikoff, and no fee will be owed. Base Range $170,000—$210,000 USD Equal Employment Opportunity Statement Kikoff Inc. is an equal opportunity employer. We are committed to complying with all federal, state, and local laws providing equal employment opportunities and considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. Please reference the following for more information.

Responsibilities

Act as a product manager for the employee experience by building AI-powered workflows and managing the full employee lifecycle for Engineering and Data teams. Partner with technical leadership to drive compensation planning, career ladders, and organizational effectiveness through data-driven insights.