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Rounds/Retell/Senior Agent Product Manager·#64842
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AI·Series A·Redwood City, California

Senior Agent Product Manager

at RetellAI
Location
Redwood City, California
Salary
$170,000 - $260,000
Type
Full-Time
About Retell
Retell AI is building the modern CX platform for enterprise contact centers, using first-principles voice AI to automate sales, support, and logistics calls at scale. Thousands of companies—including CVS/Aetna, American Airlines, Lenovo, and Grab—use Retell's AI voice agents to replace large teams of human agents, with the platform powering everything from frontline agents to QA analysts and managers. Backed by Y Combinator (W24), Alt Capital, and Carya Venture Partners, Retell claims $80M ARR as of August 2026 (public data: $60M+ as of April 2026), up from $5M at the start of 2025, and a valuation north of $1.5B. The team is 50 strong, with alumni from Stripe (payments lead), Google AI research, and Facebook product. The company has been recognized as a top AI app by a16z, #3 Fastest-Growing Software Company (G2 2026), and a member of the Nasdaq & Wing VC Enterprise Tech 30 (2026). The vision: a fully AI-powered contact center where intelligent agents continuously execute, monitor, and improve every customer interaction—no more basic automation that needs constant human tuning. The market believes: Retell is the fastest-growing voice AI company in the category, with real revenue, enterprise traction, and a reputation for technical depth.
Series A • 51 – 200
Stage & size
AI
Industry
2023
Founded
About This Role

The mandate: A forward-deployed product role. You own enterprise voice AI deployments end to end — discovery through production launch — for accounts like CVS/Aetna and American Airlines, and you convert what you learn there into the agent platform's roadmap.

This is not a traditional PM job and shouldn't be pitched as one. A PM expecting a dedicated pod, a backlog, and a quarterly planning cycle will churn. The right candidate reads "I'm in the customer's contact center Tuesday and writing the agent eval spec Thursday" and gets excited.

What You'll Own

  • Full deployment lifecycle: discovery → requirements → scoping → build → production launch → optimization
  • Conversational workflow design, automation strategy, and deployment architecture
  • Prototypes and use-case validation, hands on keyboard
  • ROI models and business cases that drive customer prioritization
  • Executive relationships at Fortune 500 accounts
  • Pre-sales partnership with Sales on scoping and presentations
  • The customer-signal-to-roadmap loop — deployment friction becomes platform requirements
  • Repeatable deployment playbooks that scale past you

Requirements

Hard gates:

  • On-site in the Bay Area. Not hybrid, not remote.
  • Has shipped product and sat across from enterprise customers directly. A PM who has only worked through a CS layer is not this.
  • Technical fluency without an engineering title — prompt-engineers, prototypes, reads API docs, holds a design conversation with engineers.

Profile:

  • 5–9 years, at least 3 in product
  • Has written PRDs, requirements, and specs that engineers built from
  • Has built ROI analyses or value-based scoping models
  • Has run multi-stakeholder programs with competing priorities

Strong bonuses:

  • Shipped an LLM or agent product — evaluation frameworks, prompt versioning, guardrails, observability for non-deterministic systems. Highest-value signal for this req.
  • Contact center, CX, CCaaS, or BPO domain knowledge (Five9, Genesys, NICE, Talkdesk, Twilio Flex)
  • Voice/telephony infrastructure familiarity
  • Forward-deployed or solutions engineering earlier in career

Location and visa:

  • On-site, Bay Area
  • Sponsorship: Yes — H-1B, TN, L-1, E-3, F-1 (OPT/CPT). Lead with it.

Anti-patterns

  • Big-company PMs with no customer-facing surface — the FAANG PM who worked through research, analytics, and a program manager will drown
  • PMs who write strategy docs but can't name something they shipped
  • Anyone who needs the roadmap handed to them
  • PMs allergic to on-site customer work
  • Product leaders looking for a team to manage — this is an IC seat
  • Legacy enterprise PMs on annual release cycles

Who Will Thrive Here

Someone who's been embedded with a customer, found what was broken, built the fix themselves, and turned it into a platform feature ten other customers got. Most technical person in the customer's room, most customer-fluent person in the engineering room. Wants to work on agent reliability at a company doing 50M calls a month with 50 people.

Job Details
Experience
3-8 Years
Salary
$170,000 - $260,000
Visa Sponsorship
Yes
Employment Type
Full-Time
Work Arrangement
In office
Work Intensity
9-9-5
Benefits & Perks
$75/month Phone Bill Reimbursement
$50/month Internet Reimbursement
100% Coverage For Medical Dental And Vision Insurance
$300/month Commuter Reimbursement(gas Caltrain Etc.)
$70/day Doordash Credit For Unlimited Breakfast Lunch Dinner And Snacks
$200/month Wellness Reimbursement(gym Fitness Classes Etc.)
Green Flags
Led multiple enterprise AI/automation deployments end-to-end
Trusted advisor to C-level and operational stakeholders
Experience in product management, solutions consulting, or forward deployed engineering at a high-growth SaaS or AI company
Red Flags
Purely internal-facing product managers with no customer exposure
No experience leading enterprise deployments or implementations
Struggles to communicate with both technical and non-technical stakeholders
Ideal Companies
S
Sierra
D
Decagon
C
Cresta
O
Observe.AI
P
Parloa
V
Vapi
B
Bland AI
E
ElevenLabs
R
Rasa
C
Cognigy
O
OpenAI
A
Anthropic
H
Harvey
G
Glean

Required Candidate Q&A

Question 1
Are you based in the San Francisco Bay Area and able to work in-office in Redwood City?
Question 2
What is your current visa status, and are you open to roles requiring US work authorization or sponsorship?
Question 3
Describe a time you led an enterprise technology deployment from discovery through production launch. What were the biggest challenges and how did you drive outcomes?
Question 4
How have you balanced technical implementation details with business outcomes in a customer-facing project?
Question 5
Walk through your experience building business cases or ROI models for technology adoption.
Question 6
How do you approach ambiguous customer requirements and create structure where none exists?
Question 7
What excites you about the intersection of AI, LLMs, and customer experience?

Candidate scorecard

· 11 criteria
5+ years in deployment, implementation, solutions consulting, product management, or customer-facing technology roles
Exceptional communication skills; able to build credibility with executives, operators, and technical teams
Strong product intuition; can understand customer workflows and design scalable solutions
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