Jobs at SentiLink

Serve as a senior fraud subject-matter expert and trusted advisor to prospective financial-services customers. Lead discovery, executive briefings, workshops, and consultative sales engagements; recommend how identity and fraud solutions integrate with existing workflows, technology, controls, and operating models. Translate customer needs into actionable product and implementation guidance, partner cross-functionally on solution design and roadmap priorities, communicate emerging fraud trends, and represent the company at industry forums.

Leads SentiLink’s B2B marketing organization, strategy, team development, pipeline generation, integrated campaigns, brand and digital growth, enterprise account programs, events, and marketing measurement. Partners with Sales, Product, Data Science, Revenue Operations, and executives to drive qualified pipeline, conversion, revenue, and ARR growth.

Own demand-generation campaign content from anchor assets through landing pages, nurture emails, ads, events, social, video, case studies, SEO, and AEO. Partner with Demand Generation, Product Marketing, Sales, and Events to create audience-specific messaging for technical B2B buyers in regulated markets. Manage editorial publishing, maintain proof libraries, measure conversion and pipeline impact, and develop campaign video content in a remote, fast-growing startup environment.

Lead fraud strategy and influence business, product, and operational decisions across a rapidly growing identity and risk company. Responsibilities may include advising on fraud trends and attack patterns, translating insights into strategic recommendations, improving fraud prevention operations, partnering cross-functionally, engaging executive stakeholders, representing the company through industry thought leadership, and defining best practices for fraud, identity, and risk management.

Own and lead the technical direction of a major codebase section while designing, building, testing, documenting, and maintaining secure, scalable API-based decisioning products. Partner with product, engineering, and security teams on agile delivery, troubleshoot production issues, meet SLA requirements, and participate in an on-call rotation.

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.

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.

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.

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.

Own full-cycle recruiting across technical, business, and go-to-market roles, from individual contributors through leadership. Partner with hiring managers and senior leaders on role definition, sourcing strategy, candidate evaluation, and hiring decisions. Manage complex searches, use funnel metrics to improve outcomes, maintain ATS rigor, enhance recruiting processes, and deliver consistent candidate experiences. Mentor recruiters and provide talent-market expertise, judgment, and stakeholder leadership.

Leads and manages an applied machine learning team developing fraud detection and identity verification models. Responsibilities include people management, coaching, code review, production ML systems, model lifecycle ownership, experimentation, deployment, monitoring, fraud research, cross-functional prioritization, and communicating results. The role remains hands-on while partnering with Product, Engineering, Risk, and leadership to drive measurable business impact and shape future product strategy using machine learning and AI.

Leads an applied machine learning team and owns fraud detection and identity model strategy, development, deployment, monitoring, and iteration. Partners with Product, Engineering, Risk, and senior leadership to set priorities and deliver business impact. Provides technical mentorship, reviews code, guides modeling and architecture decisions, researches fraud patterns, develops ML capabilities, and shapes responsible AI use under data governance and security constraints.

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.

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.

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.

The Accounting Manager will oversee operating expenses and general accounting, manage monthly close, develop accounting processes, lead a team, and support audits.

As a Staff Applied ML Scientist, you will develop and maintain fraud detection models, conduct research on fraud types, and collaborate across teams to drive product development and real-time decision-making.