Jobs at SentiLink

Lead and grow a backend/platform engineering team building API-driven systems and core services. Own technical direction, architecture, reliability, and integration with product, data science, and infrastructure. Hire and mentor engineers, contribute to code and architecture, support incident response, and ensure scalable, secure, production-ready backend APIs and platform tooling.

Sell SentiLink identity and fraud solutions to state agencies, local government, and higher education. Own full sales cycle: prospecting, relationship-building, solution design, business cases, procurement navigation, closing, and post-sale account management to ensure partner success.

Sell SentiLink identity and fraud solutions to state agencies, local governments, and higher education. Own the full sales cycle, build relationships and champions, navigate complex procurement, prepare business cases, close deals, and manage post-close partner success.

Sell SentiLink identity and fraud solutions to state agencies, local governments, and higher education. Prospect and build relationships, lead complex sales processes and procurements, create business cases, close deals, and manage post-close partner success.

Sell SentiLink identity and fraud solutions to prospective customers within an assigned vertical. Own the full enterprise sales cycle, build relationships and champions, prepare business cases, close deals, and manage post-sale partner success. Develop deep vertical expertise and help scale the company by wearing multiple hats.

As a Data Scientist at SentiLink, you'll develop fraud detection models using machine learning, engage in product development, and support analysis across teams. This role emphasizes hands-on technical work and end-to-end project ownership in a fast-paced environment.

Lead and transform the Fraud Intelligence Team into a high-impact function by improving operating models, QA, tooling, and metrics; build entry-level talent programs; connect labeling to measurable fraud prevention outcomes; deliver actionable insights to Product, R&D, Analytics, and GTM; and leverage AI and automation to increase productivity and business impact.

Lead sales expansion into the retail energy ecosystem, owning full enterprise sales cycles, building go-to-market strategy and playbooks, and partnering cross-functionally to solve identity verification, fraud prevention, onboarding, payment risk, and compliance challenges for energy providers.

Lead SentiLink's expansion into the crypto ecosystem by owning full enterprise sales cycles, developing go-to-market strategy and playbooks, building relationships with fraud, risk, compliance, and product leaders, aligning stakeholders, and partnering cross-functionally to drive customer outcomes while staying current on crypto fraud, regulatory, and identity trends.

Lead design and evolution of SentiLink's data platform for fraud detection. Architect scalable batch and streaming pipelines, improve reliability, performance, and observability, set engineering standards, mentor engineers, drive cross-team technical initiatives, participate in production support/on-call, and evaluate build-vs-buy and emerging technologies.

As a Senior Data Scientist, you'll develop fraud detection models, perform detailed analyses, and work closely with teams to drive product innovation and business outcomes.

Own and evolve the data infrastructure powering identity and fraud products. Build and operate scalable ETL/ELT pipelines, ensure data quality and observability, optimize storage and access, support product squads, respond to production incidents, mentor engineers, and drive data platform innovation.

Lead product vision and execution for internal, data-intensive technical initiatives. Improve and future-proof datasets, shared services, and platforms. Partner across engineering, data science, analytics, and product to translate needs into requirements, prioritize work, drive cross-functional delivery, define success metrics, and communicate roadmap and risks to stakeholders.

As a Senior Software Engineer on the Data Platform team, you'll enhance the data infrastructure, develop ETL pipelines, maintain data quality, collaborate across teams, and mentor junior engineers.

Manage a team of data scientists to develop fraud detection models, lead planning and collaboration with leadership, and communicate outcomes effectively while maintaining strong business intuition and technical leadership.

Lead a team of analysts and data scientists embedded in sales to build rigorous pilot analyses, create executive-ready business cases, expand consultative analytics across the partner lifecycle, and publish industry insights while coaching and scaling the Solutions Analytics function.

Lead fraud strategy by advising on trends, translating insights into product and operational improvements, influencing cross-functional and executive stakeholders, representing the company externally, and defining best practices for identity and fraud prevention.

Manage relationships for enterprise bank, credit union, and fintech clients. Onboard customers, provide dashboard training, establish business goals, share performance insights, drive renewals, and consult on fraud solutions. Collaborate cross-functionally with Sales, Data Science, Product, and Engineering to maximize customer success and adoption.

Perform end-to-end analytics to quantify partner value and build ROI narratives from pilot datasets. Support sales and partner success with discovery calls, fraud strategy discussions, presentations, technical support, and thought leadership (white papers). Coach team members, maintain customer relationships, and communicate insights to senior stakeholders to drive adoption.

Manage strategic bank, credit union, and fintech accounts to drive adoption, onboarding, and product-driven fraud mitigation. Provide consultative guidance, set business goals, run trainings, share performance data, collaborate cross-functionally, support renewals, and travel to clients as needed.