405,710open jobs
14,091companies
78,515added this week
Browse all
Salary
$200k – $260k per year
Location
In office (San Francisco, New York)
Seniority
Staff · 6+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Decagon is an American company founded in 2023 that builds artificial intelligence agents to handle customer support conversations end to end for consumer businesses. Its argument against the incumbent help desk vendors is architectural: it starts from the agent rather than adding automation to a ticketing system, so escalation to a human is the exception rather than the design assumption. Headquartered in San Francisco and backed at a multi-billion dollar valuation after a rapid funding sequence, it works with fintech, ecommerce and subscription businesses where support volume is high and questions are repetitive.

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 Role

Decagon is looking to hire our first Total Rewards leader to build and own the foundation of how we attract, reward, and retain world-class talent as we scale. This is a high-impact, zero-to-one role: you'll design the compensation and benefits architecture from the ground up, bring structure and rigor to our equity programs, and serve as the strategic authority on all things total rewards across the company. You'll partner directly with our founders, People leadership, and Finance to ensure our programs are competitive, equitable, and built to scale with us.

You May Be a Good Fit If You:

  • Have 6+ years of experience in compensation, benefits, or total rewards at a high-growth tech or SaaS company - leadership experience is a plus

  • Have built or significantly rebuilt compensation structures, job architecture, and leveling frameworks - ideally in a fast-moving, pre-IPO environment

  • Have deep expertise in equity compensation (option plans, RSUs, refresh cycles) and experience supporting equity education and communications for employees

  • Understand how to design and administer competitive benefits programs, including medical, dental, vision, 401(k), and ancillary programs, while managing vendor relationships and renewals

  • Are data-driven - you use market data (Pave, Levels.fyi, etc.) to anchor decisions and can build clean, defensible comp models

  • Have experience partnering with Finance on headcount planning, comp accruals, and total compensation cost modeling

  • Are a strong communicator who can distill complex comp concepts for employees, managers, and executives alike

  • Thrive in ambiguity and can move quickly without sacrificing rigor

Even Better If You:

  • Have worked at a company that scaled from ~100 to 500+ employees and navigated the total rewards complexity that comes with that growth

  • Have experience with executive compensation and board-level reporting

  • Have supported international expansion and understand how to structure compensation across multiple geographies

  • Are familiar with HR tech and compensation tooling (Carta, Pave, Radford, Workday, Rippling, etc.)

What You'll Own:

  • Design and own Decagon's total compensation philosophy, including salary bands, equity guidelines, bonus structures, and benefits programs

  • Build and maintain a job architecture and leveling framework that creates consistency and clarity across the company

  • Lead annual and mid-year compensation review cycles, partnering closely with Finance and People Business Partners

  • Own all equity program administration - from grant processes and refresh cycles to employee education and vesting communications

  • Manage our benefits programs end-to-end, including open enrollment, broker relationships, and ongoing plan design

  • Serve as the internal expert on comp and benefits compliance (FLSA, ACA, state-level requirements, etc.)

  • Partner with Recruiting to build compelling, competitive offers and ensure we're winning top talent at every level

  • Develop clear communications that help employees understand and value their total compensation package

Comp: $200,000 - $260,000 + Equity

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.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
405,710 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Similar stack
Same company
San Francisco
$100k – $150k per year • Remote • 6+ years exp • Master's Degree
Python
AI/ML
AI Agents
Fine-tuning
JAX
Multimodal AI
PyTorch
RAG
Apply
$100k – $150k per year • Remote • 6+ years exp • Bachelor's Degree
Python
AI/ML
Agentic Workflows
AI Agents
Embeddings
Fine-tuning
LLM
Multi-Agent Systems
Prompt Engineering
RAG
Tool Use
Apply
$100k – $150k per year • Remote • 6+ years exp • Master's Degree
Python
AI/ML
AI Agents
Reinforcement Learning
Reward Modeling
RLHF
Robotics
Reinforcement Learning
Apply
$96k – $120k per year • Remote • 8+ years exp • Master's Degree
Python
AI/ML
AI Agents
Reinforcement Learning
Reward Modeling
RLHF
Robotics
Reinforcement Learning
Apply
Remote • Full-Time • 6+ years exp • San Francisco
AI/ML
AI Agents
Apply
$280k – $430k per year • In office • Full-Time • 5+ years exp • San Francisco • New York
AI/ML
AI Agents
Post-training
Apply
$200k – $400k per year • In office • Full-Time • 2+ years exp • San Francisco • New York
Python
AI/ML
AI Agents
Multimodal AI
PyTorch
Speech Recognition
Text-to-Speech
Voice Agents
Apply
$200k – $400k per year • In office • Full-Time • 2+ years exp • San Francisco • New York
Python
AI/ML
AI Agents
Function Calling
Human-in-the-Loop
Knowledge Distillation
Model Distillation
Post-training
Red Teaming
Reinforcement Learning
Synthetic Data
Tool Use
Apply
$200k – $400k per year • In office • Full-Time • 4+ years exp • San Francisco • New York
Python
AI/ML
AI Agents
Function Calling
Human-in-the-Loop
Knowledge Distillation
Model Distillation
Post-training
Red Teaming
Reinforcement Learning
Synthetic Data
Tool Use
Apply
$160k – $210k per year • In office • Full-Time • 5+ years exp • San Francisco
AI/ML
AI Agents
Cybersecurity
GDPR
Marketing
LinkedIn
Reddit
Apply
$85k – $105k per year • Equity 0–0.1% • In office • Full-Time • San Francisco
Management
Slack
Marketing
HubSpot
LinkedIn
Apply
$260k – $310k per year • Equity 0.1–0.4% • In office • Full-Time • 3+ years exp • San Francisco
Management
Slack
Marketing
HubSpot
Apply
In office • Internship • San Francisco
AI/ML
LLM
Management
Slack
Apply
$65k – $100k per year • Remote • Contractor • San Francisco
AI/ML
Claude
Apply
Coordinator: Docket 2 hours ago
$71k – $95k per year • In office • 2+ years exp • Bachelor's Degree • San Francisco
Apply
See all jobs
This is one of many
405,710 more open roles from verified company boards, updated every day.