--- title: 'Staff Software Engineer, Agent Platform at Decagon' canonical: 'https://feeny.ai/job/staff-software-engineer-agent-platform-decagon-san-francisco-n444r8vz3y6d' type: 'job' last_seen: '2026-09-12' --- # Staff Software Engineer, Agent Platform at Decagon - **Company:** [Decagon](https://feeny.ai/companies/decagon) - **Location:** San Francisco, CA - **Compensation:** $200k–$400k - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2025-12-01 - **Last confirmed live:** 2026-09-12 - **Apply:** https://jobs.ashbyhq.com/decagon/7df0a996-5a9f-496f-9f8b-c302983765b2/application **Skills:** Distributed systems, Backend platforms, System design, Experimentation, Data analysis, Debugging, Observability, Simulation systems, Agent harnesses, Orchestration layers, Execution frameworks, Control plane design, Feedback loop management > Design and build distributed runtime systems, model orchestration logic, and control-plane systems for Decagon's AI agents. The role focuses on optimizing latency, reliability, and performance for real-world conversational AI experiences through experimentation and iterative system design. ## 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 The Agent Platform team builds the runtime and model orchestration layer that powers Decagon’s agents in production. This is the orchestration layer that turns workflows, tools and guardrails into a reliable, low-latency, and delightful experience for end users. At the core of this work is the agent harness: the routing, execution logic, tool orchestration, and control-plane systems that determine how an agent behaves in a live conversation. The team owns the full execution lifecycle of each conversation—from selecting workflows and orchestrating multiple models (e.g., router/planner/supervisor patterns), to coordinating tool calls, enforcing safety constraints, and communicating back to the user. The team operates across both real-time systems (e.g., voice interactions with strict latency requirements) and longer-horizon execution (supporting more complex reasoning and workflows). Our research shows that an agent’s task execution reliability increasingly depends on the orchestration layer that wraps around it. This is highly experimental, frontier-style engineering. The team continuously analyzes real-world failures, builds feedback loops through offline evaluation and online experimentation, and iterates quickly to improve quality, reliability, and capability. As model capabilities evolve, the team regularly rethinks system design to push agent performance forward in production. ## About the Role As a Staff Software Engineer on the Agent Platform team, you will design and build the systems that govern how Decagon agents operate in real-world environments. You will own complex, distributed systems that sit at the heart of the agent runtime: execution frameworks, model orchestration logic, and experimentation platforms that ensure agents are fast, reliable, and continuously improving. Your work will directly impact how agents reason, take actions, and deliver outcomes across millions of interactions. This role operates in a fast-moving, ambiguous space with tight feedback loops. You’ll move fluidly between diagnosing production issues, designing new system abstractions, and running experiments to improve agent behavior. You’ll collaborate closely with Research, Infra, and Product teams to ship improvements safely and at scale. In this role, you will - Design and evolve agent harnesses that power different product experiences - Build core runtime systems, including AOP execution and multi-model orchestration - Develop control-plane logic for routing, planning, and tool invocation with strong safety guarantees - Optimize agent systems for latency, reliability, and production correctness - Analyze real-world failures and use data to drive iterative improvements - Build and operate online experimentation (A/B testing) and contribute to offline evaluation frameworks - Improve observability, testing, and simulation systems to ensure safe, measurable progress - Contribute to voice and real-time systems (e.g., transcription pipelines, turn-taking, latency improvements) - Continuously adapt orchestration systems as model capabilities evolve ## Your background looks something like this - Strong experience building distributed systems or backend platforms in production environments - Comfort working in ambiguous, fast-moving environments with rapid iteration cycles - Experience owning systems end-to-end, from design through production and iteration - Familiarity with experimentation, evaluation, or data-driven product improvement loops - A track record of improving system reliability, performance, and observability - Ability to debug complex systems and identify root causes of failures Even better - You’ve built or worked on agent harnesses, orchestration layers, or execution frameworks - You think in terms of control planes, feedback loops, and system-level optimization, not just features - You’re excited about diagnosing failure modes and iterating toward measurable improvements - You care deeply about production quality—not just making systems work, but making them reliable, safe, and scalable - You’re motivated by pushing the frontier of how intelligent systems behave in the real world ## 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 - [Field Marketing Coordinator](https://feeny.ai/job/field-marketing-coordinator-decagon-new-york-e3by09pf39xa) — New York, NY - [Technical Accounting & Financial Reporting Manager](https://feeny.ai/job/technical-accounting-financial-reporting-manager-decagon-san-francisco-nq0t5qb7e7s5) — San Francisco, CA - [Director of Solutions Engineering, Enterprise East](https://feeny.ai/job/director-of-solutions-engineering-enterprise-east-decagon-new-york-d55y7b8j28jg) — New York, NY - [Engineering Manager, Research](https://feeny.ai/job/engineering-manager-research-decagon-san-francisco-p4c837fyqnby) — San Francisco, CA - [Research Engineer, Audio and Speech](https://feeny.ai/job/research-engineer-audio-and-speech-decagon-san-francisco-b8k43356nm2g) — San Francisco, CA - [Research Engineer, Safety](https://feeny.ai/job/research-engineer-safety-decagon-san-francisco-ddrp6e2n67s0) — San Francisco, CA - [Senior Research Engineer, Safety](https://feeny.ai/job/senior-research-engineer-safety-decagon-san-francisco-25bb5evf72c7) — San Francisco, CA - [Growth Marketing Manager, Paid Social](https://feeny.ai/job/growth-marketing-manager-paid-social-decagon-san-francisco-3ejhkdsjb3pp) — San Francisco, CA - [AI Acceleration Engineer](https://feeny.ai/job/ai-acceleration-engineer-decagon-san-francisco-2v40s7e6zm4t) — San Francisco, CA - [Business Systems Manager](https://feeny.ai/job/business-systems-manager-decagon-san-francisco-eza2f6xc5sb5) — San Francisco, CA