Principal Product Manager

Principal Product Manager, Gen AI Developer Tools

Anaconda is seeking a talented Principal Product Manager, GenAI Developer Tools ...

Location

United States

Salary:

162500.00 - 282000.00 USD / Year

Anaconda

Expiration Date

July 01, 2026

Requirements

7+ years of product management experience
at least 3 years focused on developer tools, infrastructure, or platform products
deep, hands-on experience with AI coding tools (Cursor, GitHub Copilot, Claude, etc.)
proven expertise in MCP (Model Context Protocol) development, A2A protocol, agentic systems, or similar AI-to-application integration technologies
ability to work closely with engineering teams on API design, system architecture, and implementation trade-offs
experience building and managing strategic technology partnerships, particularly with developer tool companies
track record of driving product adoption in developer communities
excellent written and verbal communication skills
deep understanding of Python ecosystem, package management, and enterprise software development workflows
Bachelor's degree in Computer Science, Engineering, or related field

Job Responsibility

Lead product strategy and roadmap for Anaconda's Agentic Environment & Package Management initiatives, including MCP (Model Context Protocol) server development and AI tool integrations
conduct strategic research with enterprise customers, AI tool vendors, and the open-source community
drive the development and launch of tools and agents that improve the quality of Python vibe-coding
support strategic partnerships with top AI-enabled IDEs (Cursor, VS Code, Windsurf, etc.)
define and execute on integration strategies that make Anaconda indispensable to AI coding workflows
collaborate with engineering teams to build robust APIs, SDKs, and developer tools
work closely with our enterprise customers in regulated industries (finance, healthcare, government) to ensure our AI infrastructure meets their security and compliance requirements
partner with marketing and developer relations to drive adoption among the 50+ million Python developers globally
measure and optimize key metrics including developer adoption, enterprise package downloads, and AI tool integration usage
represent Anaconda at industry conferences, with partners, and in the broader AI/ML community

What we offer

Flexible Vacation Policy
Medical, Dental, and Vision Insurance
Short Term and Long Term Disability
Paid Parental Leave
Monthly Wellness Stipend
Employee Assistance Program and Mental Health Resources
annual bonus potential
equity participation

Fulltime

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

Principal AI/ML & Innovation Engineer

We are seeking Principal AI/ML & Innovation Engineer who will be leading initiat...

Location

Puerto Rico , Aguadilla

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's or master’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
Typically, 10-15 years’ experience
Solid understanding of fundamental AI and machine learning concepts, including supervised and unsupervised learning, deep learning, reinforcement learning, natural language processing, computer vision, and statistical modeling
Proficient in implementing and deploying various machine learning algorithms, such as decision trees, random forests, support vector machines, and neural networks
Knowledge of popular machine learning frameworks and libraries like TensorFlow, PyTorch, or sci-kit
Strong understanding of GitHub CoPilot, Cursor, N8N, vibe coding, Windsurf, and similar technologies
Experience in Cloud Infrastructure (AWS, Azure, etc)
Knowledge of Open Source, Linux, etc
Understanding of Devops, SRE
Expertise in deep learning techniques, architectures, and frameworks (e.g., convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), etc.)

Job Responsibility

Designing, developing, and deploying advanced machine learning models and algorithms
Leading research initiatives to explore novel approaches and technologies
Designing the architecture of AI systems and ensuring scalability, performance, and reliability
Collaborating with other teams, such as data scientists, software engineers, and product managers
Providing technical leadership and mentorship to junior engineers
Overseeing and guiding multiple design review sessions across different projects
Partnering with the engineering manager and team lead to establish long-term design and implementation strategies
Leading efforts to incorporate feedback loops and continuous improvement processes
Leading meetings, ensuring efficient progress tracking, issue resolution, and team coordination
Creating and delivering high-level presentations and reports to executive stakeholders

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

We are seeking an accomplished Applied AI Product Leader to spearhead the develo...

Location

United States , Chevy Chase; San Francisco; Palo Alto; San Jose

Salary:

146575.00 - 229600.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

6+ years of product management experience
3+ years focusing on AI/ML products
Experience using quantitative and qualitative data to inform design decisions and drive change
Experience working with both technical and business stakeholders (Marketing, Operations, Data, etc.)
Familiar with organizational maturity and related transformation
Demonstrated experience influencing senior management and setting expectations for major cross-functional initiatives
Exceptional written and verbal communication skills

Job Responsibility

Define product strategy and roadmap to boost operational efficiency, and improve customer experience, ensuring alignment with GEICO’s AI goals
Use cutting-edge AI technologies, including language models, to develop features customized for individual needs
Coordinate execution across engineering, UX, research, and marketing teams for the development and launch of AI-powered features
Gather and document requirements from diverse stakeholders, defining and maintaining scalable data infrastructure, validating and remediating data streams, and establishing robust governance practices to drive forward the AI strategy
Work closely with research teams to support a user-centered approach, enhance user experience, and set KPIs for measuring feature success
Build partnerships with stakeholders throughout GEICO and clearly communicate product vision, strategy, and updates to leadership

What we offer

Comprehensive Total Rewards program
401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
tuition assistance
mental healthcare
fertility and adoption assistance
workplace flexibility
GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Principal Product Manager

Security represents the most critical priorities for our customers in a world aw...

Location

India , Bangalore

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

6+ years product management experience with complex, cross-organizational products
Deep AI/ML expertise with proven ability to integrate AI-first thinking into strategy
Track record defining product vision that drives significant business impact
Strong technical background (APIs, infrastructure, AI modeling)
Expert stakeholder management and ability to influence senior leadership
Strong analytical skills with OKR/KPI definition and tracking experience
Go-to-market planning and product launch experience

Job Responsibility

Define long-term product vision, strategy, and roadmap across organizational boundaries
Write product framing memos emphasizing AI as a core differentiator
Translate complex AI concepts into business value for executives and customers
Build consensus across cross-functional teams, partners, and senior leadership
Assess partnership and acquisition opportunities
Lead AI-powered analysis of customer signals (usage, telemetry, feedback) to identify unmet needs
Conduct competitive analyses and market research as subject matter expert
Engage directly with customers through 1:1 interactions and broader forums
Share strategic insights with senior stakeholders to drive cross-team alignment
Own product roadmap, prioritize backlog, and manage tradeoffs with engineering teams

Fulltime

Sr. / Principal Product Manager - AI

Shape the future of trust in the age of AI. At Oscilar, we're building the most ...

Location

Salary:

Not provided

Oscilar

Expiration Date

Until further notice

Requirements

5+ years of product management experience, with at least 3 years in B2B SaaS platforms
Proven track record building workflow automation, orchestration, or integration platforms
Experience with AI/ML products, particularly in production environments
Background in fintech, risk management, or financial services preferred
Demonstrated success launching technical products for non-technical users
Deep understanding of workflow orchestration patterns, event-driven architectures, and state machines
Experience with visual programming concepts and node-based editors (Node-RED, Retool Workflows, Pipedream)
Knowledge of AI/ML concepts including LLMs, embeddings, vector databases, RAG, and agent architectures
Understanding of real-time systems, message queuing (Kafka, RabbitMQ), and streaming data processing
Familiarity with API design, webhooks, OAuth flows, and integration patterns

Job Responsibility

Define the product vision for an AI-first risk orchestration platform that revolutionizes how FIs manage risk workflows
Develop the roadmap that balances no-code accessibility with sophisticated AI capabilities
Research and analyze competitive landscape (n8n, Zapier, Temporal) to identify differentiation opportunities
Create the strategy for transitioning from traditional rule engines to AI-orchestrated decisioning
Define success metrics and KPIs that demonstrate value across fraud, credit, AML, and onboarding use cases
Agentic Workflow Components: Design autonomous AI nodes
LLM Integration Framework: Build a flexible system supporting multiple LLM providers
Intelligent Orchestration: Create smart workflow features
Human-in-the-Loop AI: Design collaborative features
Node Library Development: Design 200+ pre-built risk nodes

What we offer

Competitive salary and equity packages, including a 401k plan
Remote-first culture — work from anywhere
100% Employer covered comprehensive health, dental, and vision insurance with a top tier plan for you and your dependents (US)
Unlimited PTO policy
AI First company
both Co-Founders are engineers at heart
and over 50% of the company is Engineering and Product
Family-Friendly environment
Regular team events and offsites
Unparalleled learning and professional development opportunities

Fulltime

Principal Product Manager

At Microsoft, we are building the world’s most trusted and developer‑centric AI ...

Location

India , Bangalore

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in engineering, computer science, or a related technical field
Significant experience (typically 8–12+ years) in product management or software engineering with substantial product ownership, including experience working on platform or infrastructure products
Demonstrated ability to operate effectively in large, ambiguous, multi‑team environments with shared ownership and complex dependencies
Strong technical depth in cloud platforms, distributed systems, or AI/ML infrastructure, with the ability to engage credibly with senior engineers and architects
Proven track record of influencing strategy, driving alignment, and delivering outcomes through collaboration rather than direct authority
Strong analytical and systems‑thinking skills, with experience making high‑quality decisions in fast‑moving, evolving problem spaces

Job Responsibility

Act as a senior contributor to platform strategy for Azure AI Foundry and Azure ML, helping shape multi-year investments across model training, customization, deployment, and lifecycle management
Drive alignment and progress across federated, cross-organizational initiatives, working with peer Principal PMs and multiple engineering teams on shared platform outcomes
Contribute to the definition and evolution of high-leverage platform abstractions (APIs, SDKs, workflows) that enable scalable adoption of GenAI and custom code training workloads
Partner closely with senior engineering leaders to influence architectural direction, surface trade-offs, and ensure platform capabilities meet scale, reliability, and security expectations
Engage with strategic customers and internal stakeholders to gather insights, validate requirements, and translate learnings into durable, reusable platform capabilities
Use data, metrics, and experimentation to evaluate impact and inform product decisions across shared ownership areas
Serve as a thought leader and mentor within CoreAI, elevating product craft, platform thinking, and responsible AI practices across the organization

Fulltime

Staff Security Engineer

At hyperexponential, we’re building the AI-powered platform that enables the wor...

Location

United Kingdom , London

Salary:

Not provided

hyperexponential

Expiration Date

Until further notice

Requirements

Built or significantly contributed to security programmes from the ground up, establishing foundational security controls, compliance readiness, and incident response capabilities
Designed and implemented security architecture for cloud-based distributed systems (AWS or equivalent), including multi-account strategies, identity and access management, network security, and data protection
Driven technical security improvements by writing code, building tools, and implementing controls that scaled with company growth
Integrated security into development workflows through DevSecOps practices including automated testing, secrets management, container security, and infrastructure-as-code security
Led or supported compliance initiatives (SOC2, ISO27001, GDPR, or similar), mapping technical controls to compliance requirements and guiding teams through audit cycles
Built trust with engineering teams by contributing technically and making security collaborative and frictionless
Balanced security rigor with business goals, making risk-based trade-offs that enabled growth while protecting customers and the business
Evaluated security implications of AI/ML systems, including understanding AI-specific risks and implementing controls to secure them

Job Responsibility

Build hx's security programme from the ground up, setting direction for security architecture, compliance, and incident response as we scale globally
Design and implement security controls across AWS cloud infrastructure, Kubernetes workloads, and our multi-product platform, ensuring systems are secure by design
Integrate security into engineering workflows by embedding automated security testing, vulnerability management, and threat detection into CI/CD pipelines without slowing teams down
Lead or contribute to compliance initiatives (SOC2, ISO27001) by implementing technical controls and working cross-functionally with legal, engineering, and business teams to enable enterprise sales
Build security automation and tooling by writing code and scripts that scale security practices, detect vulnerabilities, and enforce policies efficiently
Partner with Engineering Managers, Principal Engineers, and Product Managers to embed security thinking early in design and architecture decisions
Act as a trusted voice in critical moments: responding to incidents, unblocking teams on security questions, and keeping high-stakes initiatives secure and on track
Assess and secure AI-powered systems across hx's platform, implementing controls that enable safe adoption of AI while mitigating risks like prompt injection, data leakage, and model vulnerabilities

What we offer

£5,000 training and conference budget for individual and group development
25 days of holiday plus 8 bank holidays (33 days total)
Company pension scheme via Penfold
Mental health support and therapy via Spectrum.life
Individual wellbeing allowance via Juno
Private healthcare insurance through AXA
Income protection and Life Insurance
Cycle to Work Scheme
Top-spec equipment (laptop, screens, adjustable desks, etc.)
Regular remote and in-person hackathons, lunch and learns, socials, and game nights

Fulltime

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Principal Product Manager - AI/ML Infrastructure

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