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

New

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

New

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 - AI Marketplace

As a senior product leader, you will drive the creation of Teradata’s next-gener...

Location

India , Hyderabad

Salary:

Not provided

Teradata

Expiration Date

Until further notice

Requirements

Degree from top tier IIT in Computer Science, Data Science, Engineering, or related field (PhD preferred)
15+ years of product management experience
5+ years leading AI/ML or advanced analytics products
Deep technical expertise in AI/ML concepts including LLMs, foundation models, supervised/unsupervised learning, fine-tuning, inference pipelines, and multi-modal AI
Proven success embedding AI into enterprise-scale platforms, especially in data management, analytics, or cloud environments
Strong technical fluency with AI infrastructure — including distributed training, inference optimization, GPU/accelerator integration, and workload orchestration
Experience defining APIs, SDKs, and developer integrations for enterprise AI adoption
Demonstrated knowledge of hybrid and multi-cloud architectures and their impact on AI performance, scalability, and cost optimization
Familiarity with governance and compliance frameworks (HIPAA, GDPR, SOC2) and applying them to AI/ML solutions
Exceptional communication skills with the ability to influence C-level stakeholders and articulate AI product strategy

Job Responsibility

Vision and Strategy: Define and champion the vision for the Teradata AI Marketplace, creating a scalable, enterprise-grade platform that enables seamless discovery, deployment, and management of AI models, tools, and applications
Marketplace Development: Lead the end-to-end development of the AI Marketplace, from conceptualization to launch, ensuring it delivers a robust ecosystem tailored for enterprise data and analytics workloads
AI Integration: Shape how AI/ML technologies are embedded into the Marketplace, enabling customers to harness VantageCloud and data warehouse capabilities for advanced insights, automation, and intelligent applications
Roadmap Leadership: Set and own the product roadmap for the AI Marketplace, balancing cutting-edge innovation with enterprise requirements for performance, governance, and compliance
Cross-Functional Collaboration: Partner with global engineering, data science, UX, and go-to-market teams to build a secure, intuitive, and high-performance Marketplace that meets enterprise needs
Customer-Centric Design: Engage with customers to understand their challenges and needs, ensuring the Marketplace delivers measurable value for mission-critical AI workloads in hybrid and multi-cloud environments
Ecosystem Development: Build and nurture partnerships with AI vendors, developers, and third-party providers to create a vibrant Marketplace ecosystem, driving adoption and innovation

What we offer

We prioritize a people-first culture
We embrace a flexible work model
We focus on well-being
We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are

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

Principal Product Manager

As a Principal Product Manager on the M365 Core Copilot Infrastructure team, you...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree AND 8+ years experience in product/service/program management or software development
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check upon hire/transfer and every two years thereafter
Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience
5+ years of experience with AI/ML platforms, cloud infrastructure, or large-scale distributed systems
Experience defining and delivering technical product roadmaps in partnership with engineering and data science
Experience with model training, inferencing, or orchestration platforms

Job Responsibility

Define product vision, strategy, and roadmap for platform features supporting model onboarding, fine-tuning, benchmarking and inferencing orchestration
Partner with engineering and cross-functional teams to deliver solutions for secure, compliant, and performant model deployment and management
Lead requirements gathering, customer/partner engagement, and backlog prioritization for Copilot platform capabilities
Drive BizChat infrastructure improvements for low-latency, high-scale serving, and robust evaluation/telemetry
Measure and communicate impact through KPIs such as deployment agility, model quality, and platform health
Embody our culture and values

Fulltime

Principal Product Manager - AI/ML Infrastructure

Geico

Location:
United States , Chevy Chase, MD ▼
Austin, TX
New York City, NY
Richardson, TX
Seattle, WA

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 21, 2026

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