Staff Product Manager, Managed Inference Job at Crusoe (San Francisco)

Staff Product Security Engineer

We’re looking for a Staff Product Security Engineer to lead the design and imple...

Location

United States

Salary:

184000.00 - 252000.00 USD / Year

AlphaSense

Expiration Date

Until further notice

Requirements

7+ years of experience in product, application, or cloud security engineering
Deep understanding of secure SDLC, threat modeling, and secure architecture design
Proven expertise with AWS cloud security concepts and best practices
Strong experience with container security, orchestration, and runtime protection
Proficiency in Python, Java, and/or JavaScript for security automation, code review, and tooling
Experience securing AI/ML pipelines, data workflows, or model-serving infrastructure
Familiarity with DevSecOps and continuous integration/deployment environments

Job Responsibility

Embed robust security practices throughout the software and AI development lifecycle (SDLC)
Lead secure design reviews, threat modeling, and risk assessments for AI-driven products, APIs, and backend services
Partner with engineering and product teams to ensure security, privacy, and compliance by design
Build and maintain security automation and governance frameworks that integrate seamlessly into development workflows
Architect and enforce security controls for AI/ML systems, including model training, data pipelines, and inference environments
Identify and mitigate AI-specific attack vectors such as data poisoning, model inversion, prompt injection, and model theft
Collaborate with governance and compliance teams to align with ethical AI principles and frameworks like NIST AI RMF and the EU AI Act
Implement model provenance, integrity, and auditability controls to ensure responsible and secure AI operations
Partner with DevOps and SRE teams to secure service meshes, container networking, and secrets management
Drive software supply chain security, including artifact integrity, dependency management, and vulnerability reduction

What we offer

Competitive compensation, benefits, and career growth opportunities
Opportunity to shape and drive product security strategy
Collaborative and security-minded engineering culture
Work on cutting-edge security challenges in a fast-growing company
Performance-based bonus, equity, and a generous benefits program

Fulltime

Staff Data Scientist, Inference - Customer Support

As a Staff Data Scientist working on Inference in CS, you will have the opportun...

Location

United States

Salary:

194000.00 - 240000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

9+ years of relevant industry experience (e.g. data scientist, tech lead, junior faculty)
Master’s degree or PhD in relevant fields
Strong fluency in Python, SQL
Familiarity with causal inference and experimentation and a desire to continue to learn
Proven ability to communicate clearly and effectively to audiences of varying technical levels
Proven mix of strong intellectual curiosity with high level of pragmatism and engagement with the technical community

Job Responsibility

Lead DS efforts building segmentation features for CS including data exploration, optimization and model prototyping
Work collaboratively with cross functional partners including software engineers, product managers, operations and research, to refine requirements for segmentation models, drive scientific decisions, and quantify impact
Develop simulations to validate the impact of potential product and operational changes to the business
Design and utilize new experiment frameworks to measure the effectiveness feature launches, even when A/B tests are infeasible
Regularly present work internally at monthly meetings to technical, engineering and product stakeholders to iterate and generate excitement on roadmap progress
Bring new ideas to the team which can improve the operational efficiency of customer support at airbnb

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

Staff Product Manager, Managed Inference

As a core member of the Crusoe Managed AI Services team, you will own the comple...

Location

United States , San Francisco; Sunnyvale; New York

Salary:

204000.00 - 247000.00 USD / Year

Crusoe

Expiration Date

Until further notice

Requirements

6+ years of experience in technical product management or engineering roles with product responsibilities
Experience building and launching cloud infrastructure, platform, or AI/ML services used in production
Strong understanding of cloud infrastructure (e.g., AWS, GCP, Azure) and modern compute architectures
Familiarity with the machine learning lifecycle, particularly model deployment, inference, and monitoring
Strong communication and collaboration skills, with experience working across engineering, product, and business teams
Demonstrated ability to operate independently with strong product judgment and a bias for action
Bachelor’s degree in Computer Science or a related technical field (or equivalent experience)

Job Responsibility

Own the end-to-end product lifecycle for Crusoe’s Managed Inference services, including roadmap definition, execution, and iteration
Translate customer needs, market signals, and technical constraints into clear product requirements and prioritization
Partner closely with Engineering, Infrastructure, and Platform teams to deliver scalable, reliable inference services
Drive product decisions across performance, reliability, cost efficiency, and developer experience
Define and track success metrics for inference services in production environments
Collaborate with go-to-market teams to support product launches, positioning, and customer adoption
Communicate product strategy and tradeoffs clearly to cross-functional partners and leadership

What we offer

Restricted Stock Units in a fast growing, well-funded technology company
Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
Employer contributions to HSA accounts
Paid Parental Leave
Paid life insurance, short-term and long-term disability
Teladoc
401(k) with a 100% match up to 4% of salary
Generous paid time off and holiday schedule
Cell phone reimbursement
Tuition reimbursement

Fulltime

Staff Data Scientist, Platform (Inference/Payments)

We are looking for a passionate Staff-level Data Scientist to lead quantitative ...

Location

United States

Salary:

194000.00 - 240000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

9+ years of industry experience in a quantitative analysis role with a Master’s degree in a quantitative field (math / economics / statistics, and etc.), or 6+ years of experience with a PhD degree
Strong knowledge of causal inference, experimentation, and statistical modeling
Skilled in statistical programming (Python or R) and database usage (SQL)
Proven ability to communicate clearly and effectively to audiences of varying technical levels
Ability to translate complex findings and results into compelling narratives that drive impact
Excellent project management, communication, and teamwork skills

Job Responsibility

Inference: Develop and apply causal inference methods, including experimental, econometric regressions, and quasi-experimental methods to measure a wide-range of platform/product impacts
AI/ML: Build methods for robust evaluation of ML/AI model efficiency and performance. Ability to identify use-cases for and develop predictive models to classify, segment, and interpret our users’ behavior
Optimization: Develop methodologies to explore/simulate the impact of new interventions and develop data products to optimize product/operational strategies
Communication: Deliver robust research reports and effective data visualizations. Collaborate with and present to stakeholders to identify opportunities and communicate findings, and drive impact
Empowerment: Think strategically about opportunities to improve and scale our brand measurement and customer insights

What we offer

bonus, equity, benefits, and Employee Travel Credits

Fulltime

New

Lead Product Manager, AI Storage Solutions

As a Lead Product Manager, AI Storage Solutions you will define the strategic vi...

Location

United States , Milpitas

Salary:

194425.00 - 275414.00 USD / Year

Sandisk

Expiration Date

May 06, 2026

Requirements

Bachelor’s degree in Electrical Engineering, Computer Science, Engineering, or related field
Minimum of 8+ years of experience in product management
Minimum of 2 years experience in AI Architectures for datacenters or on-device
Strong desire to take ownership of the full product lifecycle
Proven track record of managing and launching successful emerging technology products
Deep understanding of flash memory technology and AI Storage Solutions, 3D stacking, TSV architectures. NAND-based high bandwidth architectures
Any knowledge of AI software stack will be a added advantage

Job Responsibility

Define the strategic vision, roadmap, and execution plan for next‑generation memory solutions that enable cutting‑edge AI, Machine Learning, and High‑Performance Computing ecosystems
Serve as the connective tissue across engineering, marketing, operations, and hyperscale customers—driving competitive differentiation and business growth for high‑performance memory products
Own the multi‑year product roadmap, aligning with technology inflection points such as AI Storage Solutions, and emerging AI Storage Solutions architectures
Translate market dynamics, customer signals, and competitive insights into product requirements (MRD/PRD)
Lead deep technical engagements with hyperscalers and chipmakers (e.g., NVIDIA, AMD), turning customer performance, latency, and capacity needs into engineering deliverables
Position product solutions for AI inference, KV‑cache, and memory‑centric architectures informed by industry trends, inference context memory, KV‑tiering
Build business cases including TAM/SAM/SOM models, pricing strategies, investment requirements, and ROI modeling
Guide lifecycle execution from concept → development → through cross‑functional program reviews (Stage Gate)
Partner closely with ASIC, firmware, NAND, system, and quality teams to drive technical readiness and performance targets
Manage supplier relationships and work with supply chain to ensure cost, yield, and delivery success

What we offer

Short-Term Incentive (STI) Plan
Long-Term Incentive (LTI) program (restricted stock units (RSUs) or cash equivalents)
RSU awards for eligible new hires
Paid vacation time
Paid sick leave
Medical/dental/vision insurance
Life, accident and disability insurance
Tax-advantaged flexible spending and health savings accounts
Employee assistance program
Other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity

Fulltime

New

Lead Product Manager, AI Storage Solutions

As a Lead Product Manager, AI Storage Solutions you will define the strategic vi...

Location

United States , Milpitas

Salary:

194425.00 - 275414.00 USD / Year

Sandisk

Expiration Date

May 06, 2026

Requirements

Bachelor’s degree in Electrical Engineering, Computer Science, Engineering, or related field
Minimum of 8+ years of experience in product management
Minimum of 2 years experience in AI Architectures for datacenters or on-device
Strong desire to take ownership of the full product lifecycle
Proven track record of managing and launching successful emerging technology products
Deep understanding of flash memory technology and AI Storage Solutions, 3D stacking, TSV architectures. NAND-based high bandwidth architectures
Any knowledge of AI software stack will be a added advantage

Job Responsibility

Define the strategic vision, roadmap, and execution plan for next‑generation memory solutions that enable cutting‑edge AI, Machine Learning, and High‑Performance Computing ecosystems
Serve as the connective tissue across engineering, marketing, operations, and hyperscale customers—driving competitive differentiation and business growth for high‑performance memory products
Own the multi‑year product roadmap, aligning with technology inflection points such as AI Storage Solutions, and emerging AI Storage Solutions architectures
Translate market dynamics, customer signals, and competitive insights into product requirements (MRD/PRD)
Lead deep technical engagements with hyperscalers and chipmakers (e.g., NVIDIA, AMD), turning customer performance, latency, and capacity needs into engineering deliverables
Position product solutions for AI inference, KV‑cache, and memory‑centric architectures informed by industry trends, inference context memory, KV‑tiering
Build business cases including TAM/SAM/SOM models, pricing strategies, investment requirements, and ROI modeling
Guide lifecycle execution from concept → development → through cross‑functional program reviews (Stage Gate)
Partner closely with ASIC, firmware, NAND, system, and quality teams to drive technical readiness and performance targets
Manage supplier relationships and work with supply chain to ensure cost, yield, and delivery success

What we offer

Short-Term Incentive (STI) Plan
Long-Term Incentive (LTI) program (restricted stock units (RSUs) or cash equivalents)
RSU awards for eligible new hires
Paid vacation time
Paid sick leave
Medical/dental/vision insurance
Life, accident and disability insurance
Tax-advantaged flexible spending and health savings accounts
Employee assistance program
Other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity

Fulltime

Staff Backend Engineer, Speech AI

Our intelligent runtime must seamlessly connect to foundational models to power ...

Location

United States , Mountain View

Salary:

200000.00 - 300000.00 USD / Year

Inworld AI

Expiration Date

Until further notice

Requirements

A BA/BS degree in Computer Science or a related technical field, or equivalent practical experience
5+ years of professional experience in software development, with a proven track record of shipping high-quality, user-facing products
Strong product sense and an ability to think critically about user experience and business impact
Demonstrated experience in building and scaling production-grade backend APIs and distributed systems
Strong proficiency in Python and professional experience with one or more of the following: Java/Kotlin, or Go
Hands-on experience with containerization (Docker) and deploying services on orchestration platforms like Kubernetes
A solid foundation in data structures, algorithms, and system design

Job Responsibility

Own features end-to-end, from collaborating on the initial concept with product managers to shipping and monitoring the final product
Translate product requirements and user needs into robust, scalable, and maintainable backend services and APIs
Design, build, and launch user-facing APIs and backend systems in Python, Java/Kotlin, and Go that deliver seamless voice experiences
Partner closely with Product Managers and ML engineers to define scope, identify technical trade-offs, and drive the product roadmap forward
Write high-quality, production-grade code that powers real-time audio processing, model inference, and complex data pipelines
Champion engineering and product excellence, with a focus on delivering tangible value to our users quickly and iteratively

What we offer

bonus
equity
benefits
relocation assistance

Fulltime

Member of Technical Staff, Inference

We're looking for an ML infrastructure engineer to bridge the gap between resear...

Location

United States

Salary:

240000.00 - 290000.00 USD / Year

Runway

Expiration Date

Until further notice

Requirements

4+ years of experience running ML model inference at scale in production environments
Strong experience with PyTorch and multi-GPU inference for large models
Experience with Kubernetes for ML workloads—deploying, scaling, and debugging GPU-based services
Comfortable working across multiple cloud providers and managing GPU driver compatibility
Experience with monitoring and observability for ML systems (errors, throughput, GPU utilization)
Self-starter who can work embedded with research teams and move fast
Strong systems thinking and pragmatic approach to production reliability
Humility and open mindedness

Job Responsibility

Productionize model checkpoints end-to-end: from research completion to internal testing to production deployment to post-release support
Build and optimize inference systems for large-scale generative models running on multi-GPU environments
Design and implement model serving infrastructure specialized for diffusion models and real-time diffusion workflows
Add monitoring and observability for new model releases—track errors, throughput, GPU utilization, and latency
Embed with research teams to gather training data, run preprocessing scripts, and support the model development process
Explore and integrate with GPU inference providers (Modal, E2E, Baseten, etc.)

Fulltime

Staff Product Manager, Managed Inference

Crusoe

Location:
United States , San Francisco ▼
Sunnyvale

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 21, 2026

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