Principal Product Manager

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 Product Manager, AI

LogicMonitor® is the AI-first hybrid observability platform powering the next ge...

Location

India , Pune

Salary:

Not provided

LogicMonitor

Expiration Date

Until further notice

Requirements

8 to 9 years of product management experience, ideally in B2B software
Strong hands on fluency with AI powered products and how modern AI systems work
Proven experience owning products end to end in ambiguous environments
Strong customer instincts and comfort being customer facing
Ability to think strategically while executing tactically
Clear communicator who can align teams without relying on authority
Bias for action and comfort with scrappy execution

Job Responsibility

End to end ownership of major Edwin AI product areas from discovery to delivery to adoption
Deep customer engagement to uncover real problems and validate solutions
Clear product strategy and roadmap grounded in customer value, data, and business outcomes
Hands on collaboration with engineering, design, GTM, and applied AI teams
Product decisions across AI capabilities including agents, workflows, and intelligent experiences
Success metrics like adoption, usage, customer impact, and business outcomes
Spend real time with customers through calls, demos, feedback sessions, and follow ups
Translate messy customer problems into crisp product bets and shipped features
Work closely with engineers on scope, tradeoffs, and delivery details
Get hands on with AI concepts like prompting, evaluations, agent behavior, and failure modes

AgentX Support is Workato’s flagship AI-native engine designed to transform cust...

Location

United States , Palo Alto

Salary:

Not provided

Workato

Expiration Date

Until further notice

Requirements

10+ years of product management experience in enterprise software
Demonstrated success building 0-to-1 products or defining new market categories
Track record shipping ML/AI products to production (not just prototyping)
Experience with customer support platforms or CRM systems
Experience with real-time systems or high-throughput environments
Strong systems thinking and comfort designing across APIs, data, models, and workflows
Sufficient technical depth to partner effectively with engineering and AI research teams
Ability to operate effectively in ambiguous, fast-moving environments
Exceptional written and verbal communication skills, with executive-level presence

Job Responsibility

Define the vision and long-term strategy for AI-native, agentic customer support
Establish the product narrative and positioning that differentiates Workato in the customer service market
Represent Workato’s point of view with customers, partners, and industry stakeholders
Partner with design and marketing to translate product capabilities into clear customer value
Define how AI agents interpret intent, reason through complex customer issues, and determine when to act autonomously
Design orchestration frameworks that connect large language models with enterprise systems of record
Lead the development of workflows that enable AI agents to execute actions such as refunds, order modifications, and escalations
Ensure appropriate controls for safety, observability, compliance, and human-in-the-loop oversight at enterprise scale
Define the next-generation support agent workspace augmented by real-time AI guidance
Deliver systems that surface relevant context, recommendations, and next-best actions to human support agents during live customer interactions

What we offer

Vibrant and dynamic work environment
Multitude of benefits they can enjoy inside and outside of their work lives

Architectural Project Designer - Interior Specialist

Location

United States

Salary:

Not provided

Architectural Design & Construction, Inc.

Expiration Date

Until further notice

Requirements

Learn to create realistic project schedule: estimate time frame for design development, structural design, construction documents
Manage client expectations: schedule, budget, and project scope
Establish due dates for all finish selections for client
Educate client concerning the process and importance of obtaining selections on schedule
Obtain selections on schedule and before construction starts
Record all selections
Obtain client approval in writing before construction starts
Provide client with regular project status reports throughout the design phase
Coordinate with consultants to meet project requirements
Meet project schedule and budget for design services to maintain profitability

Job Responsibility

Reports to the Principal/Construction Project Manager
Properly communicate information regarding selections to the Principal/Construction Project Manager, Project Architect, Project Manager, and client as appropriate and in a timely manner
Prior to all client meetings, share all information that will be presented to a client in the meeting with the Project Team members
Promote, discuss and offer ADC’s Interior Design services when clients have not selected an Interior Designer for their project
Maintain and enhance client relationship with ADC
Walk client through the selections process
Ensure that they understand the phases of construction
Notify suppliers when ADC clients will visit them, if possible
Provide Construction Manager with selections prior to client sign-off on Final Budget Estimate
Assist the Construction Manager putting the selections out to bid with trade contractors and suppliers

Principal Product Manager - AI Governance (Azure AI Foundry)

AI is transforming how organizations operate, and with it comes a new frontier o...

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 in product management, program management, or technical leadership roles OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Deep familiarity with AI/ML systems, model governance, or enterprise compliance frameworks
Proven experience driving cross-functional initiatives with engineering, security, and policy teams
Excellent communication skills with demonstrated ability to influence across organizational boundaries
10+ years of product management or applied AI experience, ideally in enterprise cloud or responsible AI domains
Knowledge of AI governance frameworks (EU AI Act, NIST AI RMF, ISO 42001, SOC 2, etc.)
Experience building or integrating security, compliance, or observability products
Familiarity with agentic AI systems and associated risk classes (e.g., sensitive data leakage, prohibited actions, task drift, jailbreaks)

Job Responsibility

Lead the AI Governance product area within Azure AI Foundry — defining the long-term vision, strategy, and roadmap for policy management, compliance automation, and regulatory readiness
Design and deliver core governance experiences, including agent-level policies, data sensitivity signals, prohibited action controls, and AI system compliance dashboards
Integrate Foundry governance with Microsoft’s broader security and compliance stack — Entra (identity and A2A policies), Purview (data classification and DLP), and Defender (threat insights)
Translate emerging AI regulations (EU AI Act, ISO 42001, NIST AI RMF) into actionable platform capabilities and customer experiences
Partner with Responsible AI researchers and engineering teams to operationalize ethical principles into measurable safeguards and evaluators
Collaborate with customers, industry bodies, and policymakers to help shape standards for trustworthy AI deployment
Establish and track success metrics (governance coverage, compliance posture, customer adoption), ensuring measurable impact and clarity across engineering and partner orgs
Represent the product in executive and customer forums, evangelizing Microsoft’s approach to responsible, governed AI systems

Fulltime

Principal Software Engineer

Are you looking for an opportunity to work with the latest Azure offerings and p...

Location

India , Bangalore

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

10–12+ years of experience in software engineering, with significant experience building scalable backend or distributed systems
Strong programming expertise in one or more languages such as Python, Go, Java, or C#, with experience designing production-grade services and APIs
Experience building AI-powered applications, including integrating LLMs, implementing agent or Copilot workflows, and orchestrating multi-step AI interactions
Hands-on experience with LLM application frameworks and orchestration tools such as Semantic Kernel, LangChain, or similar agent frameworks
Familiarity with retrieval-augmented generation (RAG) architectures, vector databases, embeddings, and semantic search systems
Experience evaluating and improving model performance through prompt design, evaluation frameworks, fine-tuning, or feedback loops
Solid understanding of distributed systems concepts including scalability, reliability, observability, caching, and asynchronous processing
Experience deploying and operating AI workloads in cloud environments (preferably Azure), including containerized services and GPU-enabled infrastructure
Understanding of Responsible AI practices, including model governance, safety, privacy, and evaluation of AI behaviour in production systems
Ability to work across product, research, and engineering teams to translate product scenarios into scalable AI system architectures

Job Responsibility

Design, build, and operate scalable AI systems that power intelligent product experiences, including Copilot and agent-driven workflows
Architect and implement backend services that support multi-step AI interactions, including orchestration pipelines, context management, memory/state persistence, and tool execution
Integrate large language models (LLMs), APIs, and internal services to enable context-aware, human-in-the-loop experiences across customer scenarios
Build and maintain data and inference pipelines that support model training, fine-tuning, evaluation, and real-time inference across diverse data sources
Evaluate, benchmark, and tune AI/ML models (LLMs and traditional models) to meet product requirements for accuracy, latency, reliability, and safety
Implement robust retrieval, grounding, and knowledge integration mechanisms (e.g., RAG systems, semantic indexing, vector search) to power intelligent applications
Collaborate with product managers, software engineers, and researchers to translate product vision into production-ready AI capabilities and measurable outcomes
Ensure reliability, observability, and governance of AI systems, including monitoring model performance, data quality, and responsible AI practices
Build reusable platforms, APIs, and tools that enable teams to rapidly develop AI-powered features and self-service intelligent applications

Fulltime

Principal AI Engineer

We are looking for a Principal AI Engineer to lead the design and deployment of ...

Location

United States

Salary:

200000.00 - 300000.00 USD / Year

Apollo.io

Expiration Date

Until further notice

Requirements

10+ years of software engineering experience
at least 3 years in applied LLM or agentic AI systems (2023–present)
proven success in deploying LLM-powered products used by real users at scale
deep backend & systems engineering expertise with Python, distributed systems, and scalable APIs
familiarity with LangChain, LlamaIndex, or similar orchestration frameworks
experience with RAG pipelines, vector DBs, embedding models, and semantic search tuning
experience managing performance across cloud providers (e.g., AWS Bedrock, OpenAI, Anthropic, etc.)
demonstrated experience building multi-step agents, planning workflows, chaining reasoning steps, and integrating APIs with agent memory/state
comfort with advanced prompting strategies, few-shot and chain-of-thought reasoning, and embedding retrieval setups
strong understanding of AI system evaluation, human ratings, A/B experimentation, and feedback loop pipelines

Job Responsibility

Architect and lead the development of multi-agent systems capable of long-horizon planning, reasoning, and API orchestration
build reusable agentic components that integrate deeply into sales and marketing processes
own and evolve our in-house platform for scalable, low-latency, and cost-efficient LLM and agent deployments
lead design of interfaces powered by natural language understanding and retrieval-augmented generation (RAG)
build embedding-based, intent-aware search and personalization systems tuned to business user needs
drive innovation in personalized outreach generation using context-aware generation pipelines
tune inference pipelines, caching layers, and model selection logic for high-scale, cost-aware performance
define and drive robust offline and online testing methodologies (A/B, sandboxing, human evals) across agents and LLM flows
architect human-in-the-loop systems and telemetry to improve accuracy, UX, and explainability over time

What we offer

equity
company bonus or sales commissions/bonuses
401(k) plan
at least 10 paid holidays per year
flex PTO
parental leave
employee assistance program
wellbeing benefits
global travel coverage
life/AD&D/STD/LTD insurance

Fulltime

Principal Engineer

To lead and manage engineering teams, providing technical guidance, mentorship, ...

Location

India , Pune

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

20+ years experience
Owns the team’s mission, roadmap, and outcomes
Translates business goals into a clear technical strategy and measurable OKRs spanning research, prototyping, and production AI systems
Builds and scales a high‑performing engineering culture (quality, reliability, security, cost discipline), embedding modern SDLC practices, SRE, and CI/CD with AI‑assist tools and agentic workflows
Guides system architecture end‑to‑end (data pipelines, model serving, APIs/UI, observability), ensuring privacy, compliance, model governance, and safe/ethical AI
Coaches engineers through design reviews, code reviews, experiment design, and productionization
Removes blockers and grows talent through clear career paths
Partners cross‑functionally with Product, Design, Risk/Controls, and Platform teams to prioritize work, manage dependencies, and ship iteratively with fast feedback loops
Owns delivery metrics (lead time, deployment frequency, MTTR) and uses data to improve flow, reduce toil, and standardize reusable components and platforms
Manages vendor/platform selection for AI toolchains (IDE assistants, agent platforms), balancing ROI, reliability, and governance

Job Responsibility

Lead engineering teams effectively, fostering a collaborative and high-performance culture to achieve project goals and meet organizational objectives
Oversee timelines, team allocation, risk management and task prioritization to ensure the successful delivery of solutions within scope, time, and budget
Mentor and support team members' professional growth, conduct performance reviews, provide actionable feedback, and identify opportunities for improvement
Evaluation and enhancement of engineering processes, tools, and methodologies to increase efficiency, streamline workflows, and optimize team productivity
Collaboration with business partners, product managers, designers, and other stakeholders to translate business requirements into technical solutions and ensure a cohesive approach to product development
Enforcement of technology standards, facilitate peer reviews, and implement robust testing practices to ensure the delivery of high-quality solutions

What we offer

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution

Fulltime

Principal Product Manager - Observability & Evaluations

Microsoft Corporation

Location:
United States , New York

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 20, 2026

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