Decagon Logo

Decagon

Engineering Manager, Research

Posted Yesterday
Be an Early Applicant
In-Office
New York City, NY, USA
280K-430K Annually
Senior level
In-Office
New York City, NY, USA
280K-430K Annually
Senior level
Lead and grow a research engineering team developing conversational AI agents. Own the technical roadmap across model post-training, evaluation, safety, speech, and agent behavior; convert research ideas into measurable production programs; review architecture and experiments; ensure rigorous, reproducible engineering; and partner with infrastructure, platform, product, and customer teams to deploy reliable AI systems.
The summary above was generated by AI

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

Read more about the research team's work here: https://decagon.ai/blog/introducing-decagon-labs
The Research team develops the model and decision-making stack that powers Decagon’s conversational agents for enterprise support. We research, adapt, and implement state-of-the-art techniques in model training, prompting, orchestration, and evaluation in order to make our agents more accurate, robust, and efficient in real-world deployments.

Our goal is to push the frontier of applied conversational AI: agents that reliably understand nuanced intent, track long context, and take the right actions under uncertainty. We measure success the way customers feel it: higher resolution rates, better user satisfaction, and consistent behavior at scale.

About the Role

We’re looking for a manager to lead and grow a team within Decagon Research. You’ll own the team and technical roadmap for an area spanning model post-training, evaluation, safety, speech, or agent behavior, driving ambitious ideas from research to reliable production impact.

Managers here operate with high ownership and technical depth while helping their teams move quickly and maintain a high quality bar. You’ll create clarity in ambiguous research areas, develop exceptional engineers, and align the team’s work with the product outcomes that matter most to customers.

In this role, you will

  • Build, manage, and develop a high-performing team of research engineers through hiring, coaching, performance management, and career development

  • Own the technical direction and roadmap for your area, prioritizing the highest-leverage investments across models, evaluation, safety, speech, and agent systems

  • Turn open-ended research directions into focused programs with clear hypotheses, milestones, decisions, and measures of production impact

  • Stay close to the technical work through architecture and experiment reviews, debugging, and individual contribution

  • Set a high bar for experimental rigor, reproducibility, evaluation quality, engineering execution, and safe model rollouts

  • Partner across Infrastructure, Agent Platform, Product Engineering, Product, and customer-facing teams to move research into production

Your background looks something like this

  • 5+ years of industry experience building machine-learning systems involving language models, speech, agents, or model infrastructure

  • 1+ years of people management experience, with a strong individual-contributor background

  • Deep experience post-training, evaluating, deploying, or serving foundation models at scale

  • Strong technical judgment and a track record of translating ambiguous research ideas into measurable product outcomes

  • Experience hiring, coaching, and developing technical talent, with clear communication across research, engineering, product, and executive stakeholders


Even better if you have

  • A record of influential research, open-source contributions, or production ML systems with significant real-world impact

Compensation

$280K – $430K + 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.

Similar Jobs

20 Days Ago
In-Office
New York, NY, USA
405K-850K Annually
Senior level
405K-850K Annually
Senior level
Artificial Intelligence • Natural Language Processing • Generative AI
Lead technical direction for a research data platform supporting ML researchers: build reusable platform components and end-to-end datasets, drive canonical schemas and pipelines, collaborate with researchers, lead multi-quarter projects, stay hands-on in code, and mentor engineers to raise technical quality and adoption.
Top Skills: BigQueryClickhouseColumnar StorageData Lineage ToolingDataset CatalogingDuckdbETLExperiment-Tracking/Metrics SystemsParquetSpark
29 Days Ago
In-Office
New York, NY, USA
405K-850K Annually
Mid level
405K-850K Annually
Mid level
Artificial Intelligence • Natural Language Processing • Generative AI
The Engineering Manager for Research Tools will lead a team of experts to optimize systems for AI research, support collaboration with various teams, and drive effective processes for system efficiency and team growth.
Top Skills: Distributed SystemsMachine Learning
3 Hours Ago
Remote or Hybrid
United States
73K-98K Annually
Senior level
73K-98K Annually
Senior level
Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Provide assistant-controller level accounting support for healthcare clients: manage month-end close, maintain general ledgers, prepare and review monthly reporting packages and KPIs, ensure balance sheet accuracy, update client procedure manuals, coordinate project tasks, and supervise/account-assign work to meet client needs and budgets.
Top Skills: Microsoft Office Suite

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account