--- title: 'Senior Software Engineer, Product at Decagon' canonical: 'https://feeny.ai/job/senior-software-engineer-product-decagon-new-york-cwevmv3enwgw' type: 'job' last_seen: '2026-10-17' --- # Senior Software Engineer, Product at Decagon - **Company:** [Decagon](https://feeny.ai/companies/decagon) - **Location:** New York, NY - **Compensation:** $200k–$400k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-10-16 - **Last confirmed live:** 2026-10-17 - **Apply:** https://jobs.ashbyhq.com/decagon/cfc21b6c-75ed-4b01-925a-6636778ebf04 ## Job description ## About Decagon Decagon 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 Team Product Engineering at Decagon builds all aspects of the platform our customers use to create, operate, and improve their AI agents. We turn work that currently requires an engineer into product that a CX team can run themselves. This team is core to how Decagon scales. The frameworks we build support every agent we have in production, each with its own workflows, data, and constraints. We build the agents too, and that’s what keeps the platform honest: a failure mode we debug in production becomes a guardrail, an eval, or a piece of tooling that catches it everywhere. Our agents run for companies like Hertz, American Airlines, and Notion across chat, voice, email, and SMS. ## About the Role You’ll design and build the systems that let customers configure, train, test, and monitor sophisticated AI agents with confidence. That means strong engineering underneath, and abstractions on top that hold up across different use cases without forking per customer. You’ll work day to day with product and design: joining discovery, defining requirements, reviewing designs, and iterating through launch. You’ll stay close enough to customers to understand their use cases 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. In this role, you will - Eliminate manual work by building self-serve functionality for agent configuration, training, and deployment - Design configuration abstractions that balance power and simplicity, handling diverse enterprise use cases while staying usable by non-technical teams - Build AI-powered tooling that lets CX and ops teams create and manage complex agent workflows without writing code - Build monitoring, tracing, and analytics that surface actionable signal, so customers can see where an agent is failing and why - Handle agentic systems at scale; your work will touch critical flows for Fortune 100 companies. - Run evaluations on new text and voice models, then integrate the ones that win into production traffic Your background and skillset look something like this - 4+ years building software products, with strong product thinking - Proficient in Python, comfortable working across the entire stack - Experience translating complex technical capabilities into simple, usable interfaces - Complex systems instincts, including asynchronous programming and the failure modes that only appear at scale - A high degree of comfort debugging system failures in deep technology stacks, using whatever tool gets you to the answer - A knack for turning customer asks into clear, well-scoped product and technical specs - Judgment about when to ship fast and when to slow down and build it correctly Even better - Background with LLMs, prompt engineering, evals, or AI agent systems - Experience building developer tools, APIs, platforms, or internal tools that became customer-facing - Experience with observability, data visualization, or analytics products - Experience building security-sensitive product systems, such as authentication and data access controls - Work with multi-modal or voice models ## Compensation $200K – $400K + Offers Equity This 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. ## Benefits We proudly offer the following benefits for our full-time employees: - Medical, Dental, and Vision benefits for you and your family - Life Insurance and Disability Benefits - Retirement Plan (e.g., 401K, pension) - Parental Leave - Fertility and family building benefits through Carrot - Monthly stipend to support your wellness, lifestyle, and work-life balance - Daily lunches and snacks in the office to keep you at your best - Take 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. ## About Decagon ## Company Overview - **One-liner**: Decagon is an AI customer support platform that enables enterprises to deploy autonomous AI agents for concierge-level customer experiences across voice, chat, email, and other channels. - **Entity Type**: Private (Series B, $481M total funding) - **Headquarters**: San Francisco, California, United States - **Founded**: 2023 - **Founders**: Jesse Zhang (CEO) and Ashwin Sreenivas (CTO) ## Core Business - **Primary industry**: AI-powered customer support software / Enterprise conversational AI - **Target customers**: B2B, mid-market to enterprise (e.g., Avis Budget Group, Chime, Oura Health, 1-800-FLOWERS.COM, Hunter Douglas, Duolingo, Curology, Valon) - **Mission or purpose**: "Build a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships." ## Products & Services - **[Decagon AI Concierge Platform](https://decagon.ai/)**: Unified omnichannel AI agent handling chat, voice, and email — powered by natural-language Agent Operating Procedures (AOPs) for workflow definition and an analytics suite for continuous optimization. - **[Decagon Voice AI](https://decagon.ai/product/voice)**: Fast, intelligent voice agents built for natural dialog, fully customizable to brand tone, claiming 50%+ deflection on voice and 70% chat+voice resolution. - **[Decagon Chat](https://decagon.ai/product/chat)**: Flexible, personalized chat agent that executes complex workflows reliably, claiming 80% deflection rate and 32% cost reduction. - **[Decagon Email](https://decagon.ai/product/email)**: Always-on, intuitive email agent that resolves issues quickly, reporting 1M+ revenue from fully AI-handled conversations and 3x CSAT increase. - **[Duet Autopilot](https://decagon.ai/)**: Newer product tier (announced 2025) for autonomous, end-to-end handling of customer interactions. ## Market Standing - **Valuation**: ~$4.5B (Series B round led by Coatue Management and Index Ventures, tripling valuation in under six months as of late 2025/early 2026) [jobsbyculture.com](https://jobsbyculture.com/blog/working-at-decagon-2026) - **Total Funding**: USD $481,000,000 across 7 rounds [LinkedIn](https://www.linkedin.com/company/decagon-ai) - Seed (Jun 2024): $5M led by a16z - Series B (Oct 2024): $65M led by Bain Capital Ventures - Venture Round (Nov 2025): undisclosed amount, 1 investor - **Notable Investors/Partners**: Andreessen Horowitz (a16z), Accel, Bain Capital Ventures, Coatue Management, Index Ventures, Elad Gil [jobsbyculture.com](https://jobsbyculture.com/blog/working-at-decagon-2026) - **Growth Signals**: - 311 employees (+325.3% YoY) as of mid-2026 - 100+ enterprise customers - Over 60,000 LinkedIn followers (+274.8% yearly growth) - Active in 7 countries (US, UK, Ireland, Germany, Netherlands, Philippines, Nigeria) - 134 active job postings (+332.3% yearly growth) - Key talent sourced from Verkada, Scale AI, Bain & Company, Glean, Databricks, xAI, Salesforce, TikTok, Five9 ## Competitive Advantages - **Proven enterprise adoption**: Deployed at major brands (Chime, Avis, Oura, Duolingo) with highly publicized results — e.g., Oura reported 95% chat+voice resolution, Curology 80% deflection, and one customer saw "10x higher deflection at launch than anticipated" [decagon.ai](https://decagon.ai/) - **Omnichannel by design**: Unified chat, voice, and email on a single intelligence layer — a rare end-to-end approach vs. point solutions for just chat or voice. - **Natural-language AOPs**: Agent Operating Procedures in plain English, enabling non-engineers to define and iterate on agent workflows without engineering support — faster iteration and less vendor lock-in. - **Elite investor syndicate**: Backed by the top enterprise AI investors (a16z, Accel, Coatue, Index, Bain Capital Ventures), signaling strong confidence and access to a broad network. - **Founding team pedigree**: Founded by former executives/engineers from high-growth AI companies (Jesse Zhang and Ashwin Sreenivas have backgrounds from fast-scaling AI startups). ## Strategic Focus - **Scaling enterprise sales**: Actively hiring Enterprise Account Executives, Implementation Managers, and Strategic Account Directors [LinkedIn](https://www.linkedin.com/company/decagon-ai) - **Deepening voice capabilities**: Staff Research Engineer and Senior Research Engineer for Voice + Speech roles signal heavy investment in voice AI quality and differentiation [LinkedIn](https://www.linkedin.com/company/decagon-ai) - **International expansion**: Established offices in London (UK), plus presence in Ireland, Germany, Netherlands, and Philippines — recruiting across all regions. - **Product velocity**: Emphasis on rapid iteration and continuous improvement of agents; building out analytics suite (Decagon Insights) and Duet Autopilot for fully autonomous operation. ## Why Work Here - **Culture**: Described as "Eng-Driven, Ship Fast, Equity, Product Impact" by employees. Values include: "Just get it done," "Invent what customers want," "Winner's mindset," "The Polymath Principle" (cross-functional collaboration) [decagon.ai/careers](https://decagon.ai/careers) - **Compensation**: "We hire the best and treat them accordingly" — competitive compensation philosophy; Glassdoor rating: 3.9/5.0 (257 reviews), Compensation: 5.0/5.0 in Glassdoor-style internal review [jobsbyculture.com](https://jobsbyculture.com/blog/working-at-decagon-2026) - **Benefits**: - 100% medical, dental, and vision coverage for dependents - 401k and FSA/commuter benefits - Flexible PTO + company-wide winter break shutdown - Free daily lunches, dinner, and snacks at HQ - Wellness programs and company events [decagon.ai/careers](https://decagon.ai/careers) - **Remote/Hybrid/Office**: HQ in San Francisco (2261 Market Street); London office (50 York Way). Roles span remote, hybrid, and on-site options based on job postings. - **Engineering culture**: 89 technical employees (21% of workforce), Staff/Senior Research Engineer roles for Voice + Speech; "Build, optimize, and scale AI agents" is core identity. Alumni go on to OpenAI, Datadog, Postman, Accel — strong talent pipeline. - **Growth trajectory**: 134 open roles; 300+% headcount growth YoY; $4.5B valuation at 3 years old — extremely high-growth environment ideal for career acceleration. - **Notable perk**: "We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions" — employees report high product impact and ownership. ## Sources 1. [decagon.ai](https://decagon.ai/) 2. [decagon.ai/careers](https://decagon.ai/careers) 3. [LinkedIn - Decagon](https://www.linkedin.com/company/decagon-ai) 4. [jobsbyculture.com - Working at Decagon 2026](https://jobsbyculture.com/blog/working-at-decagon-2026) 5. [dealroom.co - Decagon profile](https://dealroom.co/companies/decagon/) ## Other roles at Decagon - [Staff Software Engineer, Product](https://feeny.ai/job/staff-software-engineer-product-decagon-new-york-hgfrxj0mrk90) — New York, NY - [Staff Software Engineer, Product](https://feeny.ai/job/staff-software-engineer-product-decagon-san-francisco-03d9hp9mma53) — San Francisco, CA - [Senior Commercial Counsel](https://feeny.ai/job/senior-commercial-counsel-decagon-san-francisco-9sq2rbtr2g1z) — San Francisco, CA - [Senior Software Engineer, Product](https://feeny.ai/job/senior-software-engineer-product-decagon-san-francisco-6vg1wfh4zcsr) — San Francisco, CA - [Agent Product Manager](https://feeny.ai/job/agent-product-manager-decagon-san-francisco-z3hpabfgfx1p) — San Francisco, CA - [Agent Strategy Manager](https://feeny.ai/job/agent-strategy-manager-decagon-australia-znekzhtk4byp) — Australia - [Staff Software Engineer, Enterprise Product](https://feeny.ai/job/staff-software-engineer-enterprise-product-decagon-san-francisco-tmp59pjymwx6) — San Francisco, CA - [Experiential Designer](https://feeny.ai/job/experiential-designer-decagon-san-francisco-abh3ns3me2hv) — San Francisco, CA - [Talent, Strategic Projects Associate](https://feeny.ai/job/talent-strategic-projects-associate-decagon-san-francisco-d8p8338e4cts) — San Francisco, CA - [Director, Strategic Accounts - Toronto](https://feeny.ai/job/director-strategic-accounts-toronto-decagon-remote-njhb6bzqcxhx)