DecagonEngineering Manager, Agent Product
Decagon is hiring an Engineering Manager, Agent Product in San Francisco, United States. It pays $280k-$430k a year and Level rates it ; you can apply on Decagon.
Level's read on this job
- On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
- The posting mentions AI agents, engineering management and conversational AI among its tools and skills.
- Level classes it as a lead role.
- Decagon has 133 other open roles on Level.
AI in this role
Lead an engineering team building mission-critical conversational AI agents and scalable LLM solutions at Decagon.
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 Product team at Decagon deploys mission-critical AI agents to our customers that impact millions of users and directly drive Decagon’s growth. You will lead a team building on our industry-leading AI agent platform, collaborate directly with customers and help devise long-term, scalable solutions.
Our mission is to deliver magical support experiences — AI agents working alongside human agents to help users resolve their issues.
About the Role
As an Engineering Manager on the Agent Product team, you’ll lead a group of engineers building and shipping best-in-class AI agents, from initial implementation through continuous iteration. You’ll work directly with leaders across industries like finance, healthcare and hospitality, solving their users’ needs with reliable and intuitive AI agents.
Managers here are expected to operate with high ownership and technical depth while helping their teams move quickly and maintain a high quality bar. This role is for someone who enjoys mentoring engineers, partnering closely with customers and diving deep into complex system challenges to build elegant solutions that scale to millions of users.
In this role, you will
Lead and grow a team of engineers building AI agents that outperform human agents in managing complex customer interactions and driving customer retention
Partner directly with enterprise customers to understand their operational pain points and translate them into scalable AI agent solutions
Drive execution across the full lifecycle of agent deployments, from initial implementation through continuous iteration and optimization
Partner with product, design and research to identify cross-customer trends that guide the evolution of Decagon’s agent platform and research efforts
Help define the technical strategy and roadmap for the future of AI-powered customer support
Support and mentor engineers through technical guidance, feedback and career development
Maintain a high engineering bar while fostering a culture of ownership, velocity and customer obsession
Your background looks something like this
Have 1+ years of engineering management experience
Have 5+ years of industry experience in software engineering
Proficiency with Python, Typescript and asynchronous programming
Experience leading teams building complex distributed systems or customer-facing products
A high degree of comfort digging into system failures within deep technology stacks using any tool necessary
Strong communication skills and ability to work directly with enterprise customers
Even better
Prior experience working with multi-modal models
Experience leading teams working on AI systems, LLM applications or agentic workflows
Compensation
$280K – $430K + 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.
How we rate this
Engineering Manager, Agent Product at Decagon rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where engineering management was part of your work. What did you do?
- Tell me about a project where conversational ai was part of your work. What did you do?
- Tell me about a project where enterprise software was part of your work. What did you do?
- Tell me about a project where team leadership was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Engineering Management, Conversational AI, Enterprise Software, and Team Leadership. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.
Get new software engineering jobs (Builds AI ●●●●) by email
One email a week with the new software engineering jobs (Builds AI ●●●●), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Software Engineering roles that build AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step