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Technical Alignment Manager Jobs in Newark, CA (NOW HIRING)

Supabase

Strategic Partner Manager

San Francisco, CA · On-site +1

$97K - $97K/yr

Strategic Partner Manager Location - San Francisco Bay Area (required) About Supabase Supabase is ... Work closely with Product and Engineering on integration roadmaps and technical alignment

XDOF

Engagement Manager

San Mateo, CA · On-site

$90 - $120/hr

Job Responsibility 1. Customer Partnership and Technical Alignment Lead and deepen relationships ... Manage expectations across time zones, maintain proactive communication, and keep customers ...

xdof, Inc.

Engagement Manager

San Mateo, CA · On-site

$80 - $120/hr

Job Responsibility 1. Customer Partnership and Technical Alignment Lead and deepen relationships ... Manage expectations across time zones, maintain proactive communication, and keep customers ...

Joby Aviation

Technical Sourcer (Contract)

San Carlos, CA · On-site

$48 - $60/hr

They will work closely with hiring managers to deeply understand role requirements, team dynamics ... Screen candidates for technical alignment, functional depth, and mission fit before advancing them ...

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All JobsTechnical Alignment JobsTechnical Alignment Manager JobsTechnical Alignment Manager Jobs in Newark, CA

Technical Alignment Manager information

See Newark, CA salary details

$57.4K

$171.3K

$217.6K

How much do technical alignment manager jobs pay per year?

As of Sep 2, 2026, the average yearly pay for technical alignment manager in Newark, CA is $171,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,000.00 and $203,600.00 per year, depending on experience, location, and employer.

What is a Technical Alignment Manager?

A Technical Alignment Manager is responsible for ensuring that a company's technology strategies and solutions are closely aligned with its business goals. They work with various teams to assess current systems, recommend improvements, and ensure that IT initiatives support overall organizational objectives. This role often involves coordinating between technical teams and business stakeholders, managing technology standards, and overseeing compliance with best practices. Technical Alignment Managers help bridge the gap between technical capabilities and business needs, ensuring technology investments deliver maximum value.

How does a Technical Alignment Manager collaborate with cross-functional teams to ensure technology strategies are consistently implemented?

A Technical Alignment Manager regularly works with stakeholders across IT, operations, and business units to ensure that technology solutions align with organizational goals. This involves facilitating communication between technical and non-technical teams, translating business requirements into technical directives, and monitoring project progress to maintain alignment. The role often requires managing expectations, resolving conflicts, and adapting strategies as business needs evolve, making strong collaboration and negotiation skills essential.

What are the key skills and qualifications needed to thrive as a Technical Alignment Manager?

To thrive as a Technical Alignment Manager, you need a solid background in IT infrastructure, project management, and business analysis, often supported by certifications like ITIL, PMP, or relevant technical degrees. Familiarity with tools such as ticketing systems, service management platforms, and reporting dashboards is typically required. Strong communication, problem-solving, and stakeholder management skills are essential for aligning technical solutions with business objectives. These skills ensure smooth coordination between technical teams and business units, driving efficient project delivery and maximizing organizational value.

What is the difference between Technical Alignment Manager vs Technical Project Manager?

AspectTechnical Alignment ManagerTechnical Project Manager
Primary FocusEnsuring technical strategies align with business goalsPlanning, executing, and closing technical projects
Required SkillsTechnical expertise, strategic thinking, stakeholder communicationProject management, technical knowledge, team coordination
Work EnvironmentCross-departmental, strategic planning sessionsProject teams, timelines, deliverables
CertificationsPossibly PMP, PMI-ACP, or technical certificationsPMP, Agile certifications, technical certifications

The Technical Alignment Manager focuses on aligning technical strategies with business objectives, while the Technical Project Manager manages specific technical projects from initiation to completion. Both roles require technical knowledge and certifications, but their core responsibilities differ in scope and focus.

What cities near Newark, CA are hiring for Technical Alignment Manager jobs?

Cities near Newark, CA with the most Technical Alignment Manager job openings:

Technical Alignment Manager jobs near you
Infographic showing various Technical Alignment Manager job openings in Newark, CA as of June 2026, with employment types broken down into 82% Full Time, 15% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $171,280 per year, or $82.3 per hour.

Technical Program Manager, Model Alignment and Deployment

Character.ai

Redwood City, CA • On-site

$220K - $260K/yr

Full-time

Re-posted 3 days ago

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. 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 empowers people to connect, learn and tell stories through interactive entertainment. Over 20 million people visit 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.

Apply