Technical Program Manager, AI Infrastructure Job at Cerebras Systems (Sunnyvale)

Principal Technical Program Manager - AI and Search Infrastructure

Atlassians can choose where they work – whether in an office, from home, or a co...

Location

United States , San Francisco; Mountain View; Seattle

Salary:

166100.00 - 266800.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Minimum of 5+ years of experience with deep domain expertise in the areas of Search Infrastructure (i.e. Search Quality, Search Relevance, Vector Search) or Artificial Intelligence (i.e. LLMs, Inference, Fine-tuning, Content Generation)
Minimum 10+ years of experience in Technical Product / Program Management or Technical Leadership role
Experience in 0-1 product / platform development and scaling
Excellent collaborator who can work across teams effectively and represent domain area to senior leadership (VP+ levels)
Experience in gathering product needs, setting strategy & plans, creating clear roadmap with aligned success metrics
Experience driving platform evangelization and adoption internally and with external customers (i.e. Enterprise / SMB)
Experience building platform products for Enterprise is a plus
Master degree or higher education in Computer Science is a plus
Excellent verbal, written, and facilitation skills (including experience with facilitating meetings and engaging with an executive audience)
Demonstrated experience and success leading high-impact, cross-functional programs or products

Job Responsibility

Own the strategic vision for Atlassian platform area (i.e. AI, Search Infra) with focus of driving best outcomes for customers (Atlassians)
Provide technical expertise for Atlassian platform area (AI or Search Infra)
Define product / platform strategy, plans, priorities and roadmap
Partner with engineering team and other disciplines on strategy, plans, roadmaps and execution
Lead communication with senior leadership, customers and stakeholders on regular cadence
Establish key performance indicators (KPIs) and metrics to measure the effectiveness of key initiatives / projects

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Technical Program Manager, AI Platform

Figma is growing our team of passionate creatives and builders on a mission to m...

Location

United States , San Francisco; New York

Salary:

180000.00 - 308000.00 USD / Year

Figma

Expiration Date

Until further notice

Requirements

4+ years of technical program management experience (or equivalent) in AI platform, AI research, and AI infrastructure
Understand how AI gets built and scaled: model evaluation loops, annotation pipelines, quota limits, and data versioning
Have hands-on experience running AI cost/capacity reviews, forecast planning, and vendor oversight. Deep understanding of model cost mechanics, including token burn, cache hit rates, latency, and quota limits
Comfort operating in high-ambiguity, high-velocity environments with exec visibility
Strong writing and communication skills — you bring structure, clarity, and momentum to complex technical programs
Bring a systems-thinking mindset to the AI delivery pipeline, and know where to tighten loops or increase speed

Job Responsibility

Own and drive programs supporting Figma’s AI platform — including annotation velocity, evaluation pipelines, and cost/capacity readiness
Partner with Infra and Finance to plan model scaling across providers: track token usage, forecast traffic, manage regional limits, optimize caching strategies, and reduce latency
Lead our internal AI Annotation Program: manage vendors and design annotators. Define task priorities, improve quality standards and increase annotator throughput
Support internal AIOps initiatives — model go/no-go decision making, monitor model behavior, prevent regressions, and ensure readiness across quality gates
Drive cross-functional execution of key AI-powered product features — coordinate scope, risks, comms, and launch checklists
Partner with Data Science to maintain and improve internal visibility: annotation metrics, token quotas, reliability dashboards, and evaluation timelines

What we offer

equity to employees
health, dental & vision
retirement with company contribution
parental leave & reproductive or family planning support
mental health & wellness benefits
generous PTO
company recharge days
a learning & development stipend
a work from home stipend
cell phone reimbursement

Fulltime

Technical Account Manager

Our Technical Account Managers play a crucial client-facing role to drive adopti...

Location

Spain

Salary:

Not provided

Maisa

Expiration Date

Until further notice

Requirements

Strong demonstrable experience managing enterprise technology implementations
Proven experience leading customer onboarding, training programs, and change management initiatives at scale
Strong program management capabilities, including coordinating parallel workstreams, dependencies, and stakeholder management from technical teams to C-suite
Solid technical knowledge across modern cloud infrastructure and software technologies (AWS, Azure, Kubernetes, CI/CD, REST APIs) from either commercial experience or a Bachelor's degree in Computer Science, Information Systems, or related field
Demonstrable experience leading discovery processes and process mapping using various frameworks and methodologies
Excellent communication and documentation skills with the ability to present complex technical ideas and AI automation solutions to both technical and non-technical stakeholders
Business proficiency in Spanish and English
Ability to travel up to 25% of the time

Job Responsibility

Lead enterprise-wide platform rollouts across multiple customer departments, managing parallel implementation streams, comprehensive project plans, milestones, and resource requirements
Coordinate customer onboarding activities, including technical setup, process discovery and mapping, user training, and knowledge transfer
Establish and track KPIs and success metrics for each deployment phase, providing regular status updates to internal and customer executive stakeholders
Identify and mitigate implementation risks through proactive program management
Develop scalable training programs and materials to drive customer self-sufficiency and adoption through change management best practices
Build and maintain a use case repository to track implementation progress, measure success, and identify expansion opportunities
Serve as the primary point of contact for technical and operational issues during implementation
Facilitate cross-functional collaboration between customer teams and Maisa AI resources, driving stakeholder engagement

Fulltime

Product Manager, AI Data Pipelines & Developer Community

As a Product Manager for AI Data Pipelines & Developer Community, you will be in...

Location

United States , Campbell

Salary:

Not provided

Komprise, Inc.

Expiration Date

Until further notice

Requirements

Proven experience in product management, particularly with a focus on data and AI-driven products
Strong understanding of technical data architectures, machine learning models, and AI applications in a business context
Demonstrated success in growing technical product adoption and developer communities
Experience working with large datasets, data pipelines, and data platforms
Excellent communication and interpersonal skills, with the ability to convey complex ideas to both technical and non-technical audiences
Proven ability to think strategically and execute methodically, translating complex problems into actionable solutions
A Bachelor’s degree in Computer Science, Data Science, Business, or a related field is preferred

Job Responsibility

Define and Drive Product Strategy: Develop and communicate a clear vision and roadmap for the AI data pipeline platform and associated developer tools, ensuring alignment with business goals and market needs
Build and Optimize AI Data Pipelines: Work closely with our product team and IT, end-users, data engineers and data scientists from our customers to build, optimize, and maintain scalable data pipelines that allow them to enrich, classify, curate data for AI agents for augmentation and inferencing
Translate User Needs into Product Requirements: Gather and prioritize user requirements, translating them into detailed product specifications and coordinating development efforts with engineering and data science teams
Champion Developer Experience: Understand the needs of the developer community, both internal and external, and develop tools, resources, and programs that enhance their experience building with our AI data platform. Investigate participation in partner developer communities and open-source communities
Grow and Engage the Developer Community: Lead efforts to foster a vibrant developer community, potentially through events, forums, technical content, and strategic outreach
Measure and Analyze Product Performance: Define and track key metrics to measure the success and impact of both the AI data platform and community engagement efforts, using data-driven insights to iterate and improve
Cross-Functional Collaboration: Partner effectively with cross-functional teams, including engineering, marketing, sales, and customer success, to ensure product vision alignment and drive successful execution
Stay Ahead of the Curve: Monitor industry trends, emerging technologies, and competitive offerings related to AI, data infrastructure, and developer ecosystems

AI Product Manager

We’re scaling AI and machine learning across our products, devices, and operatio...

Location

United States , Boston

Salary:

121300.00 - 177900.00 USD / Year

SimpliSafe

Expiration Date

Until further notice

Requirements

8+ years of product management experience, including significant ownership of AI/ML or data-intensive products
Clear track record of shipping production ML systems (not just integrating third-party AI APIs), in close partnership with data science, ML engineering, and MLOps
Principal-level impact: leading cross-team initiatives, shaping strategy, and influencing senior stakeholders
Strong understanding of core ML concepts and lifecycle: data, labeling, training/validation, evaluation metrics, deployment, monitoring, and retraining
ML experience with at least one of following: computer vision or sensor data, LLM-powered applications (prompting, RAG, fine-tuning, evaluation) and/or hardware or edge products (e.g., on-device models, connectivity/latency trade-offs)
Familiarity with modern ML infrastructure (cloud platforms, model serving, CI/CD for ML, monitoring/alerting)
Comfortable going deep into data, metrics, and model behavior—not just the UX layer
Excellent communicator who can make complex AI topics clear to diverse audiences
Strong alignment with our values: customer-obsessed, low ego, highly collaborative, comfortable with ambiguity, and biased toward learning and iteration.

Job Responsibility

Define and communicate the multi-year roadmap for key AI/ML capabilities across SimpliSafe
Identify and prioritize AI opportunities where models and data can materially improve safety, customer experience, or efficiency—on both devices and cloud services
Make build-vs-buy decisions for AI capabilities in partnership with data science and engineering
Partner with data scientists, ML engineers, and MLOps to design and deliver end-to-end ML solutions—from problem framing through data, training, evaluation, deployment, and monitoring
Work with hardware and embedded teams to shape edge AI/ML experiences (e.g., on-device detection, low-latency decisions, bandwidth-aware designs)
Define model-level requirements (metrics, latency, cost, guardrails) and connect them to business outcomes (e.g., false alarm reduction, detection accuracy, handle time, CSAT)
Translate product needs into requirements for ML platform capabilities (model serving, observability, experiment tracking, human-in-the-loop tools)
Lead product direction for LLM and multimodal use cases (e.g., text, vision, sensor data)
Decide when to use prompt engineering, RAG, fine-tuning, or traditional ML—and how to evaluate quality, safety, and hallucinations
Design workflows that incorporate human review and escalation where needed

What we offer

A mission- and values-driven culture and a safe, inclusive environment where you can build, grow, and thrive
A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families
Free SimpliSafe system and professional monitoring for your home
Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change
Participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits.

Fulltime

Senior Technical Product Manager

As a Senior Technical Product Manager, Clinical Data Platform, you will be a key...

Location

United States

Salary:

Not provided

Aledade, Inc.

Expiration Date

Until further notice

Requirements

8+ years of product or technical program management experience in healthcare data platforms, interoperability, or machine learning infrastructure, with a focus on clinical data ingestion and transformation, technology-enabled services industry, or a SaaS product
Experience using and writing queries against data for the purposes of performing preliminary research to inform solution design and build internal business understanding
Strong understanding of the software development lifecycle, Agile methodologies, and cross functional collaboration across engineering, informatics and data science teams
Product development experience supporting LLM pipelines or retrieval-augmented generation workflows using structured and unstructured healthcare data
Proven ability to bridge business objectives and platform capabilities in environments requiring data standardization and semantic normalization

Job Responsibility

Define and drive both short and long term technical roadmaps for data pipeline infrastructure, ensuring scalable, reliable ingestion and transformation of structured and unstructured data across diverse upstream sources and downstream consumers to deliver maximum value with minimum risk
Partner cross functionally with engineering, analytics and key business stakeholders to identify data requirements, translate them into technical specifications and support implementation through backlog grooming, solution design and adoption oversight
Monitor pipeline performance and data quality metrics, proactively investigate anomalies with SQL or equivalent query tools to drive root cause analysis and implement improvements to support data completeness, timeliness, analytics and generative AI initiatives
Work with internal teams and end users to develop a deep understanding of requirements, perform thoughtful technical solution designs, use data to test hypotheses, and support teams throughout execution
Write detailed user stories for new features, capturing detailed descriptions of business rationale, requirements, and success criteria that are defined by measurable outcomes
Ongoing optimization of live user workflows and capabilities including monitoring of key metrics & internal user feedback

What we offer

Flexible work schedules and the ability to work remotely are available for many roles
Health, dental and vision insurance paid up to 80% for employees, dependents and domestic partners
Robust time-off plan (21 days of PTO in your first year)
Two paid volunteer days and 11 paid holidays
12 weeks paid parental leave for all new parents
Six weeks paid sabbatical after six years of service
Educational Assistant Program and Clinical Employee Reimbursement Program
401(k) with up to 4% match
Stock options

Fulltime

Technical Program Manager-AI Delivery

The CO+I AI Delivery team is focused on delivering various platform services to ...

Location

Ireland , Dublin

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Engineering, or a related technical field (or equivalent experience)
Experience as a Technical Program Manager, Program Manager, or similar role in highly technical environments
Proven experience leading complex, cross‑team technical programs with significant infrastructure or platform components
Strong technical foundation in one or more of the following: Cloud infrastructure and distributed systems
Large‑scale datacentre delivery projects
Hardware‑software integrations (compute, networking, storage, power, cooling)
Demonstrated ability to manage execution in ambiguous, fast‑moving environments
Excellent written and verbal communication skills, with experience presenting to senior leadership

Job Responsibility

Own end‑to‑end technical programs focused on accelerating AI deployment timelines, from requirements through live production
Drive execution across multiple parallel workstreams, ensuring alignment on scope, milestones, dependencies, risks, and outcomes
Establish clear success metrics and mechanisms to track delivery, quality, and velocity
Document appropriately all artifacts during deliberative processes and established consensus
Partner deeply with hardware engineering, software engineering, infrastructure, networking, data center operations, and supply chain teams to unblock execution
Act as the central point of coordination across highly interdependent teams and external partners
Influence decision‑making with data, technical insight, and strong executive communication
Develop deep working knowledge of AI deployment architectures, including compute (GPU/accelerators), networking, storage, racks, power, cooling, and platform readiness
Identify technical risks early and drive mitigation strategies across hardware, firmware, software, and operational domains
Translate complex technical concepts into clear, actionable plans for both technical and non‑technical stakeholders

Fulltime

New

Senior Technical Program Manager – AI Infrastructure, Site Operations

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. ...

Location

United States , Sunnyvale

Salary:

Not provided

Cerebras Systems

Expiration Date

Until further notice

Requirements

8+ years in Technical Program Management, Infrastructure Ops, or Data Center Ops
Experience leading large, cross-functional infrastructure programs
Strong understanding of: Data center power and cooling fundamentals
Network and storage basics
Hardware-centric platforms
Proven ability to define and operationalize metrics
Strong written and executive-level communication skills

Job Responsibility

Own end-to-end technical programs for data center and site operations
Act as single-threaded owner across: Hardware & Systems Engineering
AI Cloud Infrastructure & Operations
Network & Storage Engineering
Facilities, power, cooling, and colo partners
Drive site readiness for Cerebras Wafer-Scale Engine systems
Partner on installation, commissioning, change management, and break/fix workflows
Lead incident reviews and postmortems
ensure corrective actions are closed
Define and own operational metrics and KPIs, including: Availability and reliability

What we offer

Build a breakthrough AI platform beyond the constraints of the GPU
Publish and open source their cutting-edge AI research
Work on one of the fastest AI supercomputers in the world
Enjoy job stability with startup vitality
Our simple, non-corporate work culture that respects individual beliefs

Technical Program Manager, AI Infrastructure

Cerebras Systems

Location:
United States , Sunnyvale

Category:
IT - Administration

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 17, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Technical Program Manager, AI Infrastructure