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Senior Staff Software Engineer (Identity & Risk Intelligence)

GoFundMe
CompanyGoFundMe
CategoryEngineering
LocationSan Francisco
RemoteOn-site (inferred)
EmploymentNot stated
LevelSenior
SalaryNot stated by the employer
Posted23 Jul 2026
Last verified7 Aug 2026
SourceEmployer ATS (greenhouse)
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Description
Want to help us help others? We’re hiring!  GoFundMe is the world's most powerful community for good. Our community has raised more than $40 billion since 2010, connecting millions of donors, beneficiaries, and nonprofit partners on a single platform built for trust. GoFundMe is hiring a Senior Staff Software Engineer, Identity & Risk Intelligence to anchor the intelligence side of our horizontal Identity Platform Engineering layer. You will set the technical direction for how GoFundMe recognizes, resolves, and trusts the people on its platform, and lead the engineering behind it. Every donation is an act of trust, and earning that trust is an identity problem: recognizing returning users, building confidence over time, and applying friction only where it is warranted. This role owns that capability at platform scale, across both our consumer and enterprise platforms: progressive identity, login risk signals, device intelligence, and the identity confidence layer that teams across GoFundMe depend on for real-time trust decisions. You will be one of three horizontal Identity Platform Engineers reporting to the Sr. Manager of Identity and Integrity Engineering, alongside an IAM engineer and a Policy and Data engineer, partnering with stakeholders across the company to identify needs and build the platform around identity resolution, the identity graph, and confidence. The IAM role owns access (federation, provisioning, policy enforcement); you own knowing who someone is and how much to trust them. If you think in visitor stitching, device intelligence, and identity graph problems more than access controls, this is your seat. Candidates considered for this role will be located in the San Francisco Bay Area. There will be an in-office expectation of 3x a week. The job Build a  progressive identity layer  that defines how GoFundMe recognizes returning visitors, stitches anonymous device history to a person at signup or login, and raises identity confidence over time, from anonymous visitor to guest to known user. Architect  identity resolution and the identity graph : visitor stitching, account linking, and confidence-weighted models that power personalization, guest donor checkout prefill, and fraud prevention across our consumer and enterprise surfaces. Build the  behavioral signals and identity confidence scoring platform : the data products and APIs that IAM, Integrity, and Payments depend on for real-time trust and authorization decisions. Shape  login risk into adaptive experiences : turn risk signals (bot detection, identity-provider risk events, device intelligence, behavioral signals) into adaptive MFA and step-up authentication that protect against account takeover without adding friction for the legitimate majority. Shape the  login and recognition experience  on our CIAM platforms, in partnership with the IAM engineer who anchors them: passwordless authentication, social login, and session decisions informed by recognition and risk, balancing security against funnel conversion across millions of interactions. Design the  policy decision and information layer  (PDP and PIP) that informs IAM's step-up and session enforcement decisions and Integrity's account-level abuse actions. Own the platform's approach to  large-scale identity-based threats : bot activity, SMS fraud, credential stuffing, and account manipulation at scale. This is the emerging cloud security gap that sits between the Auth and Identity and Integrity teams, and closing it is the charter of this role. Partner with  Integrity, Payments, and Decision Science  on identity signal use cases across their distinct needs: account-level trust and T&S feedback loops (Integrity), guest checkout recognition and device fingerprinting (Payments), and bot detection signal quality and experimentation support (Decision Science). Own the  identity and risk int