Senior/Staff Software Engineer, Data Lifecycle

Data Lifecycle EngineerDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block's Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.We're building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We're proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.We're an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner's Mindset, and The Polymath Principle — shape how we work and grow as a team.About the RoleYou'll design and build the platform infrastructure that let customers control how their data is collected, retained, redacted, and deleted. That means strong engineering underneath, and clear abstractions on top that hold up across different enterprise requirements without forking per customer.You'll work day to day with product management, governance, and security: understanding customer requirements, defining data handling guarantees, reviewing designs, and iterating through launch. You'll stay close enough to customers to understand their privacy and operational needs in depth and to ensure what you're building is actually right for them.Engineers here own features end to end, from technical architecture through deployment and the iteration after it. On this team, that includes verifying that sensitive data is protected and the action actually completes. An understanding of durable and fault-tolerant systems is key.In this role, you will:Build PII handling and redaction systems that identify and protect sensitive information across conversations, agent traces, and other customer dataDesign configuration abstractions for redaction and retention policies that balance enterprise flexibility with clear, safe defaultsBuild reliable data deletion workflows that propagate across storage systems and derived data, with retries, verification, and visibility into failuresBuild self-serve tools and APIs that let customers configure, test, and understand their data lifecycle policies without relying on an engineerBuild LLM-backed systems that scan and detect data anomalies and violationsTrain and/or tune models for detecting data of various forms (including PII and PHI)Extend redaction and identification to multimodal agents, including images, attachments, voice notes, and documents.Build monitoring and auditability that make it clear what data was processed, what remains, and where a policy has failed—without exposing sensitive information in the processHandle data lifecycle systems at scale, including backfills, partial failures, and safe rollouts; your work will touch critical flows for Fortune 100 companiesYour background and skillset look something like this:4+ years building software products, with strong product thinkingProficient in Python, comfortable working across the entire stackExperience designing reliable backend systems and data pipelines, including asynchronous processing, retries, and failure recoveryUnderstanding of what operational maturity looks like for critical systems, including observability and monitoringComplex systems instincts: you can reason about where data flows, where copies persist, and what happens when one part of a workflow failsA high degree of comfort debugging system failures in deep technology stacks, using whatever tool gets you to the answerJudgment about when to ship fast and when correctness, privacy, and irreversible operations require slowing downEven better:Experience with PII detection, redaction, tokenization, or secure handling of sensitive dataExperience building data retention, deletion, or privacy request workflows across multiple storage systemsExperience building security-sensitive product systems, such as authentication, authorization, and data access controlsFamiliarity with privacy and compliance requirements such as GDPR, CCPA, or PCI, and translating them into engineering controlsBackground with LLMs, evals, or AI agent systems, especially handling sensitive data in model inputs, outputs, and tracesExperience with observability, audit trails, or operational tooling for large-scale data systemsWork with sensitive data in voice, images, or other non-text formatsCompensation $200K – $400K + Offers EquityThis range reflects the expected compensation for this role. Compensation within the range is determined based on experience, skills, and the scope of responsibilities, with flexibility for candidates who demonstrate exceptional impact.In addition to base salary, we offer competitive equity. Final compensation may vary based on location within the United States.BenefitsWe proudly offer the following benefits for our full-time employees:Medical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension)Parental LeaveFertility and family building benefits through CarrotMonthly stipend to support your wellness, lifestyle, and work-life balanceDaily lunches and snacks in the office to keep you at your bestTake what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave)These benefits are described in more detail in Decagon's policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.