---
title: 'Technical Program Manager, Model Alignment and Deployment at Character.AI'
canonical: 'https://feeny.ai/job/technical-program-manager-model-alignment-and-deployment-character-ai-redwood-brmkpc2gvra0'
type: 'job'
last_seen: '2026-09-10'
---

# Technical Program Manager, Model Alignment and Deployment at Character.AI

- **Company:** Character.AI
- **Location:** Redwood City, CA
- **Compensation:** $220k–$260k
- **Employment:** full-time
- **Posted:** 2026-06-01
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/character/091a6ad6-75dd-4dd4-9439-7e1e9d13970b/application

**Skills:** SQL, Python, RLHF, DPO, Constitutional AI, Adversarial testing, Red-teaming, Data pipelines, Annotation platforms, ML evaluation tooling, Human-in-the-loop workflows, Distributed training, Experiment tracking, Kubernetes, Docker, Cloud technologies, Model serving systems

> Lead cross-functional programs for model alignment, safety, and deployment. Coordinate between research, safety, and infrastructure teams to execute roadmaps, manage vendors, and ensure operational excellence in a high-stakes AI environment.

## Job description

## About the role

Model Alignment and Deployment is a critical, cross-functional effort spanning our Post-Training, Safety Engineering, Trust & Safety, ML Infra/Model Serving, and User Experience Research (UXR) teams. Together, these groups are responsible for transforming powerful pretrained language models into intelligent, engaging, safely aligned, and highly scalable products—working across data, compute, algorithms, infrastructure, and user insights to improve model performance and ensure reliable delivery. As a Technical Program Manager, you will be the operational and programmatic backbone connecting these teams: driving clarity, structure, and execution across some of the most technically complex and high-stakes work at [Character.AI](http://Character.AI). This is a role for someone who thrives at the intersection of research, safety, user experience, and production. You'll partner closely with research engineers, safety experts, data scientists, infrastructure engineers, and UX researchers to turn ambitious model development goals into well-scoped, well-tracked, cross-functional programs. You will ensure that the data pipelines, evaluation frameworks, alignment workflows, and serving infrastructure underpinning our models are moving fast and moving well. You'll operate effectively in high-ambiguity environments, anticipate risks before they become blockers, and bring the kind of technical fluency needed to earn trust with researchers while communicating clearly to leadership.

## What you’ll do

- Program ownership: Lead planning and execution of cross-functional programs spanning data collection, annotation pipelines, alignment workflows (RLHF, DPO, Constitutional AI), safety guardrails (adversarial testing, red-teaming), and model serving. Establish scopes, goals, timelines, risks, and success metrics.
- Cross-functional coordination: Serve as the connective tissue between Post-Training, Safety Engineering, Trust & Safety, ML Infra, UXR, and Product. Translate model development, safety, and user experience priorities into executable roadmaps, keeping tightly coupled workstreams aligned from post-training through to production deployment.
- Evaluation & quality: Develop and maintain custom evaluation frameworks to track model performance and user satisfaction. Drive comprehensive quality evaluation initiatives alongside rigorous safety and toxicity baselines. Partner with UXR, researchers, and engineers to identify quality signals, incorporate human feedback, and surface actionable insights on model behavior in production.
- Operational excellence: Drive visibility into data pipeline health, annotation quality, training run progress, and deployment readiness. Identify bottlenecks across teams and lead efforts to improve tooling, process, and developer velocity.
- Strategic partnership: Partner with research, safety, product, and UXR leadership on prioritization, sequencing, and tradeoffs—balancing aggressive capability scaling with strict safety requirements, user needs, and infrastructure constraints.
- Process development: Build and refine the operational patterns, ontologies, and frameworks used to scale new capability development—from prompt engineering and data generation to model behavior specification and safety guidelines.
- Vendor & partner management: Own external partner relationships supporting these workstreams, including general and safety-focused annotation vendors, evaluation tooling providers, and data partners.

## What you’ll bring

- 5+ years of experience in technical program management, research operations, or product execution in a fast-moving AI, ML, or research environment.
- Deep familiarity with post-training and alignment concepts (supervised fine-tuning, RLHF, AI safety frameworks, LLM evaluation) as well as model deployment/serving, sufficient to engage substantively with both research and infrastructure engineers.
- Proven ability to lead complex, multi-team programs in ambiguous, rapidly evolving environments; track record of shipping with quality and speed.
- Strong analytical mindset; comfortable working with data and user insights to measure program health, identify trends, and drive decisions.
- Proficiency in SQL and Python.
- Exceptional communication skills - able to translate deep technical work into clear narratives for leadership, and to hold detailed technical conversations with engineers across different disciplines.
- Obsessive about data integrity, operational rigor, and process quality without letting process slow teams down.
- BS in a quantitative, scientific, or technical field; MS or PhD a plus.

Nice to have:

- Hands-on experience with data pipelines, annotation platforms, ML evaluation tooling, or human-in-the-loop workflows.
- Experience managing annotation vendors or external data partners.
- Familiarity with distributed training, experiment tracking, or ML infrastructure (Kubernetes, Docker, cloud) and model serving systems.
- Prior experience embedded in an AI research team, foundation model lab, or Trust & Safety engineering team.
- Direct experience managing AI safety, trust, quality eval, or red-teaming programs.

## About Character.AI

[Character.AI](http://Character.AI) empowers people to connect, learn and tell stories through interactive entertainment. Over 20 million people visit [Character.AI](http://Character.AI) every month, using our technology to supercharge their creativity and imagination. Our platform lets users engage with tens of millions of characters, enjoy unlimited conversations, and embark on infinite adventures.

In just two years, we achieved unicorn status and were honored as Google Play's AI App of the Year—a testament to our innovative technology and visionary approach.

Join us and be a part of establishing this new entertainment paradigm while shaping the future of Consumer AI!

At Character, we value diversity and welcome applicants from all backgrounds. As an equal opportunity employer, we firmly uphold a non-discrimination policy based on race, religion, national origin, gender, sexual orientation, age, veteran status, or disability. Your unique perspectives are vital to our success.

## About Character.AI

## Company Overview
- **One-liner**: Character.AI builds a full-stack, direct-to-consumer platform where users interact with AI-powered "Characters" for open-ended conversation, storytelling, and entertainment.
- **Entity Type**: Private (Venture Capital-Backed)
- **Headquarters**: Menlo Park, California, United States
- **Founded**: 2021
- **Founders**: Noam Shazeer and Daniel De Freitas

## Core Business
- **Primary industry/industries**: Entertainment Software, Artificial Intelligence & Machine Learning, SaaS (B2C)
- **Target customers**: B2C — millions of monthly active users seeking virtual companions, creative storytelling, and interactive entertainment.
- **Mission or purpose statement**: "Empower people to connect, learn, and tell stories through interactive entertainment."

## Products & Services
- **Character.AI Platform**: A web and mobile application that allows users to create, discover, and converse with AI Characters. The platform supports user-generated content, enabling users to build heroes, settings, stories, and challenges. It sits at the intersection of storytelling, gaming, social connection, and creative expression.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (latest known round: Secondary Transaction - Private, completed at "Generating Revenue" stage per PitchBook).
- **Key Metric**: Total Funding raised — **$193M** (Series A: $43.1M in 2022; Series A extension/round: $150M in March 2023).
- **Notable Investors/Partners**: Andreessen Horowitz, Google, Greycroft, SV Angel, Elad Gil, and 8 total investors. [cbinsights.com](https://www.cbinsights.com/company/characterai)
- **Growth Signals**: 
    - Millions of monthly active users.
    - Headcount of ~130 employees as of 2026.
    - Offices in Silicon Valley (HQ), Seattle, and New York.
    - The company completed a "Reverse Acqui-Hire" transaction, signaling strong talent acquisition interest from larger players.

## Competitive Advantages
- **Deep Technical Talent**: Founded by AI pioneers Noam Shazeer and Daniel De Freitas, who bring deep expertise in machine learning and natural language processing.
- **Full-Stack AI Platform**: Unlike many chatbot APIs, Character.AI owns the entire stack from model inference to consumer interface, giving them control over user experience and data.
- **Strong User Engagement & Community**: The platform has built a passionate community of creators and users who generate and share content, creating a network effect moat.
- **Brand Recognition**: One of the leading independent consumer AI platforms globally, with a clear identity as an entertainment-first product.

## Strategic Focus
- **AI-driven Entertainment**: The company is focused on redefining entertainment through generative AI, moving beyond simple chatbots into immersive, interactive experiences.
- **User-Generated Content (UGC)**: Empowering users to create their own characters and worlds is a core strategic priority, differentiating them from single-purpose AI tools.
- **Monetization & Scale**: Moving from a free product toward a sustainable business model (subscription tiers like c.ai+) while scaling the platform to serve a global user base.
- **Talent Acquisition**: Actively hiring across ML research, engineering, and safety to build out the next generation of their product.

## Why Work Here
- **Mission-Driven Work**: Opportunity to work on cutting-edge generative AI and shape the future of entertainment for millions of users.
- **High-Impact Environment**: Described as a "small, passionate team" where individuals can have significant ownership and influence.
- **Strong Compensation**: Competitive salaries (e.g., Research Engineer, AI Safety & Alignment: $225K–$400K + equity). [jobs.ashbyhq.com](https://jobs.ashbyhq.com/character/)
- **Comprehensive Benefits**:
    - **Parental Leave**: 20 weeks paid for birthing parents, 12 weeks for non-birthing parents.
    - **Retirement**: 401(k) match up to $5,875/year (25% of contributions up to IRS cap).
    - **Time Off**: 20 days accrued PTO, 12 company-paid holidays, plus accrued sick time.
    - **Health**: 100% premium coverage for medical (PPO or HSA), dental, and vision for employees; 80% for dependents. Life, AD&D, and LTD insurance fully covered.
    - **Perks**: Daily lunch in all offices, monthly DoorDash credit, monthly commuter allowance ($50), and a quarterly wellness stipend.
- **Work Policy**: Hybrid (offices in Menlo Park, Seattle, New York).
- **Culture Values**: "Users First" (users > company > team), "Think Transformational," and a focus on collaboration and high performance.

## Sources
1. [character.ai/about](https://character.ai/about)
2. [character.ai/careers](https://character.ai/careers)
3. [jobs.ashbyhq.com/character/](https://jobs.ashbyhq.com/character/)
4. [cbinsights.com](https://www.cbinsights.com/company/characterai)
5. [pitchbook.com](https://pitchbook.com/profiles/company/512290-54)

## Other roles at Character.AI

- [Technical Program Manager, Product Experience](https://feeny.ai/job/technical-program-manager-product-experience-character-ai-redwood-city-m9zmhkmgt1qy) — Redwood City, CA
- [Principal Research Engineer, Post-Training](https://feeny.ai/job/principal-research-engineer-post-training-character-ai-redwood-city-92f6f7sk06h1) — Redwood City, CA
- [Staff Data Scientist, Monetization](https://feeny.ai/job/staff-data-scientist-monetization-character-ai-redwood-city-51hmwhgh6e2k) — Redwood City, CA
- [Technical Program Manager, AI Infrastructure](https://feeny.ai/job/technical-program-manager-ai-infrastructure-character-ai-redwood-city-3ty4trwmewr9) — Redwood City, CA
- [Software Engineer, Backend/Applied ML (Safety & Integrity)](https://feeny.ai/job/software-engineer-backend-applied-ml-safety-integrity-character-ai-redwood-city-4q5mdjeptsz5) — Redwood City, CA
- [Software Engineer, Applied ML (Discovery, Recommendation & Search)](https://feeny.ai/job/software-engineer-applied-ml-discovery-recommendation-search-character-ai-5r4a2m0v7fzq) — Redwood City, CA
- [Software Engineer, Backend](https://feeny.ai/job/software-engineer-backend-character-ai-redwood-city-kx5x7rxznvz7) — Redwood City, CA
- [Software Engineer, Monetization](https://feeny.ai/job/software-engineer-monetization-character-ai-redwood-city-4wjqzcp5e490) — Redwood City, CA
- [Software Engineer, Core Product](https://feeny.ai/job/software-engineer-core-product-character-ai-redwood-city-h676pc9pz8k1) — Redwood City, CA
- [Research Engineer, AI Safety & Alignment](https://feeny.ai/job/research-engineer-ai-safety-alignment-character-ai-redwood-city-p2gtwtpvekg7) — Redwood City, CA