Sift

• Own the Product Vision Across Initiatives: Partner with engineering and leadership to define and articulate the “why” and “what” across multiple product areas and strategic initiatives. Use data, market research, and customer insight to set direction and prioritize ruthlessly. • Drive the Roadmap with Business and Technical Clarity: Own product roadmaps that reflect both customer needs and business objectives. Communicate the rationale behind prioritization decisions clearly to engineering, executives, and go-to-market partners alike. • Be the Voice of the Customer: Engage regularly and deeply with customers — from discovery conversations to beta programs. Validate hypotheses, surface unmet needs, and ensure the customer perspective is embedded in every product decision. • Execute with Precision: Write clear, detailed specifications. Create tickets, draft copy, define acceptance criteria, and partner closely with engineering to ship high-quality product on time. • Partner Across the Business: Work hand-in-hand with Sales, Marketing, and Customer Success to ensure new features and products are positioned and launched effectively. Support deal cycles, create GTM materials, and drive adoption of what you ship. • Inspire Cross-Functional Teams: Rally engineering, design, data science, and business stakeholders around a shared vision. Be a clear communicator and a collaborative leader who helps teams do their best work. • Contribute to Company Strategy: Help identify new market opportunities, inform product strategy at the portfolio level, and contribute to Sift’s long-term product direction.

• Process bi-weekly payroll for a multi-state employee population and monthly payroll for a global employee population, including pay calculations, validations, audits, and finalization • Maintain payroll accuracy for earnings, deductions, garnishments, taxes, retro adjustments, leave pay, and off-cycle payments • Support year-end activities including W-2 preparation, audits, and payroll calendar planning • Post payroll-related journal entries to the General Ledger and perform payroll reconciliations, resolving variances in a timely manner • Partner with Finance on payroll reporting and balancing • Review, code, and approve employee expense reports and corporate card transactions; post related journal entries and perform reconciliations • Create and enhance payroll reports and dashboards to support operational needs, trend analysis, and leadership requests • Support system enhancements, testing, and implementations, including upgrades, configuration changes, process documentation, and user support • Maintain documentation, SOPs, and internal controls aligned with company policy and audit expectations • Assist with continuous improvement initiatives that streamline payroll workflows, strengthen controls, and improve the employee experience • Take on ad hoc projects and requests as assigned

• Monitor project progress, mitigate risks, and ensure on-time delivery within scope and budget. • Collaborate with internal teams and stakeholders to ensure alignment and support throughout the project lifecycle. • Lead the planning, coordination, and execution of fraud solution implementation projects. • Customize Sift's fraud prevention solutions to meet specific customer requirements and ensure seamless integration with their existing systems to drive desired business outcomes. • Develop and deliver comprehensive training programs and documentation on fraud detection and prevention for end-users. • Present tailored fraud prevention strategies and solutions to key stakeholders. • Stay current with industry trends, technology advancements, and best practices in fraud detection and prevention to provide thought leadership and strategic guidance. • Work with product development teams to relay customer feedback and contribute to product innovation in fraud prevention. • Work closely with across the business (Customer Success, Sales, Support, Engineering, etc.) to ensure alignment on being up to date with latest best practices to deliver the best solution to customers. • Prepare and present detailed reports on project outcomes, performance metrics.

Role Description The Security Engineering team is responsible for protecting Sift’s products, infrastructure, and data while enabling our engineering organization to ship quickly and safely. As a Senior Security Engineer, you’ll be a key technical contributor and subject-matter expert, working on projects that materially reduce risk and strengthen Sift’s security posture. In this role, you will: - Design, implement, and operate security controls and tooling across Sift’s stack. - Work closely with Engineers, SREs, IT, and Legal/Compliance to secure our systems end-to-end—from application code and CI/CD pipelines to cloud infrastructure and identity. - Help define our standards, mentor other engineers on secure practices, and contribute directly to audits and compliance efforts. What you’ll do: - Design and implement security controls and tooling across Sift’s infrastructure and applications (e.g., IAM policies, network controls, secrets management, endpoint protections, container and workload security). - Embed with product and platform teams to perform security design reviews, threat modeling, and code or configuration reviews for new features and services. - Improve the secure SDLC by integrating AI-powered scanning tools, security scanning (SAST/DAST, dependency and container scanning) into CI/CD, and by developing guardrails, templates, and best practices for engineers. - Own or co-own vulnerability management workflows, from discovery and triage through remediation, including defining SLAs, coordinating with service owners, and tracking closure. - Develop automation (scripts, services, integrations) to detect misconfigurations, anomalous activity, or policy violations, and to reduce manual operational work for the security team. - Participate in security incident response (on-call rotation or escalation), including investigation, containment, root cause analysis, and long-term fixes. - Contribute to security documentation and standards, ensuring we have clear, actionable guidance for engineers on topics like authentication, authorization, data encryption, and key management. - Support audits and assessments (e.g., SOC 2, customer security questionnaires) by providing technical details and evidence of control design and effectiveness. - Mentor other engineers on secure design and implementation practices through pairing, reviews, training sessions, and written guidance. Qualifications - 5+ years of experience in security engineering, infrastructure engineering, or application security, ideally in a B2B SaaS or cloud-native environment. - Hands-on experience with at least one major public cloud platform (e.g., GCP, AWS), including IAM, networking, logging/monitoring, and security services. - Strong proficiency in at least one programming or scripting language (e.g., Python, Go, Java, or similar) and experience using code to automate security controls or detection. - Direct experience with AI/LLM-specific security risks (prompt injection, model supply chain, etc.). - Demonstrated knowledge of secure application and system design, including topics like authentication/authorization, encryption in transit and at rest, least-privilege access, and secrets management. - Experience with security tooling such as vulnerability scanners, SAST/DAST tools, SIEM/centralized logging, endpoint protection, or cloud security posture management. - Solid understanding of common vulnerabilities and attack patterns (e.g., OWASP Top 10, misconfigurations, supply-chain risks) and how to mitigate them in practice. - Ability to work cross-functionally with engineering, IT, and compliance/legal teams, and to translate security requirements into practical implementation details. - Clear written and verbal communication skills, including the ability to document designs and decisions and to educate others on security best practices. - A collaborative, pragmatic approach: you’re comfortable making risk-based decisions, proposing options, and supporting teams in implementing secure, scalable solutions. Benefits - Intentionally building a diverse, equitable, and inclusive workplace. - Empowerment and authenticity to build trust and create a safer Internet.

• Design, build, and deploy online machine learning models to catch evolving fraud vectors in real time. • Engineer high-frequency time-series features from over 1 trillion behavioral events, optimizing for low-latency signal extraction and pattern recognition. • Maintain and enhance our automated model training and deployment infrastructure, ensuring frictionless CI/CD of newly trained models. • Write high-performance code to minimize scoring latency at runtime, ensuring our core ML services scale seamlessly across distributed databases. • Work cross-functionally with Core Infrastructure, Product Management, and Data Science teams to translate business-level fraud patterns into robust algorithmic solutions.

• Architect and own advanced modeling strategies across fraud and abuse problem domains. • Establish and defend model quality standards that account for adversarial dynamics. • Lead statistical innovation on highest-leverage fraud problems. • Partner with ML engineering and information security on adversarial robustness. • Build automated workflows that scale human expertise while respecting fraud complexity.

• Lead Sift’s current internal and external enablement initiative: Own and operationalize a high-priority enablement program spanning both internal GTM teams and customers. • Build learning journeys for multiple personas: Define and curate role-based learning paths for internal personas (AEs, SEs, CSMs, Solutions Consultants, Support) and external personas (customer admins, fraud analysts, integration engineers, executive sponsors), tailoring content depth, format, and cadence to each audience. • Design and develop content end-to-end: Apply instructional design best practices to produce engaging, outcomes-focused content — including SCORM-packaged eLearning modules, instructor-led decks, video walkthroughs, job aids, knowledge checks, and certification assessments. • Author and publish SCORM-compliant courses: Build courses and publish them to Sift’s LMS with reliable progress tracking, scoring, and reporting. • Deliver high-impact training: Facilitate live and virtual training sessions — new-hire onboarding cohorts, product launches, customer workshops, train-the-trainer sessions, and executive briefings — adapting style and depth to the audience. • Run product enablement around launches: Partner with Product and Product Marketing to operationalize a repeatable launch enablement motion: readiness criteria, certification gates, sales plays, and on-demand assets shipped in lockstep with every major release. • Build and scale Sift’s customer education program: Develop the curriculum, certifications, and self-service learning library that helps customers ramp faster, expand their use of the platform, and achieve measurable outcomes — directly supporting retention and expansion goals. • Define and track engagement and adoption metrics: Instrument programs with clear KPIs — completion rates, certification pass rates, time-to-productivity, content engagement, NPS/CSAT on training, and downstream impact on ramp, adoption, and revenue — and report on them in regular business reviews. • Operate the LMS and content lifecycle: Own day-to-day administration of the LMS), including taxonomy, permissions, publishing workflows, content refresh cycles, and integrations with Salesforce and other systems. • Collaborate across stakeholders: Build durable relationships with internal SMEs (Product, Engineering, CS, Sales, Support, Trust & Safety) and external stakeholders (customers, partners, industry communities) to align enablement strategy with go-to-market priorities and customer outcomes. • Champion a culture of continuous learning: Advocate for learning as a strategic lever — running needs assessments, capability mapping, and feedback loops that keep Sift’s enablement portfolio current as the product, market, and threat landscape evolve.

• Lead and develop a high-performing CSM team. • Manage, coach, and develop a team of Customer Success Managers. • Raise the bar on customer strategy, account planning, executive engagement, and execution quality. • Build clear team expectations, operating rhythms, and accountability mechanisms. • Support hiring, onboarding, performance management, and career development. • Foster a strong, collaborative, commercially minded, and customer-first team culture. • Help CSMs connect day-to-day customer activity to broader business outcomes. • Drive customer outcomes and retention performance. • Lead team execution against customer health, product adoption, renewal readiness, and risk mitigation goals. • Partner with CSMs on strategy for high-priority, complex, or at-risk accounts. • Identify trends across the customer portfolio and translate them into team priorities, playbooks, and cross-functional recommendations. • Improve how the team surfaces, manages, and communicates customer risk. • Collaborate closely with Sales on account strategy, renewal planning, expansion opportunities, and risk mitigation.

• Build the source-of-truth substrate. Audit, organize, and unify what Sift knows about its products, competitors, ICP segments, sales motion, win/loss patterns, and customer language. Decide what lives where, what gets retired, what needs to be created, and what needs to be made machine-readable instead of just human-readable. • Ship internal agents that move the needle. Identify the GTM workflows where an agent saves the most hours per week or unlocks the most consistency: competitive Q&A for AEs, first-pass launch briefs, draft messaging for new campaigns, RFP support and build them. Measure adoption and quality. Iterate. • Equip the PMM team to operate at higher leverage. Help evolve the product marketing organization to focus less on hand-crafted deliverables and more on activities with strategic importance: sales enablement, message refinement, and researching the competitive landscape. • Set evaluation standards. Define how we measure agent quality at Sift: accuracy, voice fidelity, helpfulness, hallucination rate. Make sure what we ship gets better over time, not just bigger. • Be the team's AI tooling lead. Evaluate, recommend, and integrate new AI tools as the landscape shifts. Build the relationships and the muscle so we're early to what matters and skeptical of what doesn't.

• Source and hire across all teams: Run full-cycle recruiting with a focus on Engineering, Product, and GTM as business needs shift, owning every step from intake to offer accept. • Partner with Hiring Managers: Collaborate closely with Hiring Managers to deeply understand role requirements, calibrate on talent, and identify the right candidates for each opening. • Manage a high-volume requisition load: Carry 10–15 active job requisitions simultaneously without dropping quality, candidate experience, or velocity. • Drive timely, thorough candidate screening: Ensure every candidate receives a consistent, well-scoped screen and timely communication at every stage of the funnel. • Conduct independent sourcing: Source actively via LinkedIn Recruiter, social networks, job boards, referrals, events, and AI-augmented search tools to surface talent competitors miss. • Build active and passive pipelines: Maintain a consistent, high-volume flow of qualified candidates by blending inbound funnel management with proactive outbound outreach to passive talent. • Own the offer process end-to-end: Drive a seamless offer process—partnering with Compensation and Hiring Managers, extending offers, and closing candidates with confidence. • Champion ATS hygiene and data integrity: Operate fluently in our applicant tracking system, keep records clean, and use pipeline data to inform decisions and report on funnel health. • Develop leading-edge methods to attract diverse talent: Test new sourcing channels, outreach approaches, and AI-assisted workflows to expand the top of the funnel and reach underrepresented talent.