Principal Engineering Manager, Core Platform & AI Systems Job at Highspot (Seattle)

Principal Engineer, AI Strategy and Innovation

Shape the architecture and execution of CLEAR’s AI platform strategy, from infra...

Location

United States , New York

Salary:

250000.00 - 290000.00 USD / Year

Clear

Expiration Date

Until further notice

Requirements

12+ years in software engineering and/or technical experience with deep expertise in AI systems, ML platforms, and data infrastructure
At least 5 years of experience with various AI technologies including GenAI, ML, Deep Learning, RPA or others
Proven ability to scale AI capabilities into high-throughput, low-latency environments
Strong technical background in cloud-native architectures (AWS or similar) and modern AI/ML stacks (TensorFlow/PyTorch, MLflow, RAG, MCP, etc.)
Experience leading AI strategy and platform adoption in enterprise-scale environments
Skilled at translating regulatory and compliance requirements into responsible AI practices
Track record of partnering closely with Product, Engineering, Analytics, and Security teams as well as business executives
Excellent communicator who can set a vision for AI, explain technical trade-offs, and influence executives, peers, and partners
Passionate about embedding AI into core products to deliver measurable impact for members and enterprise partners

Job Responsibility

Define and scale CLEAR’s AI strategy: spanning data pipelines, ML lifecycle management, and intelligent applications
Lead engineering execution for AI models (development, deployment, monitoring, retraining) with a focus on reliability, observability, and ethical AI practices
Modernize analytics and intelligence systems to deliver predictive insights and partner-facing transparency in real time
Operationalize trust in AI by embedding privacy, compliance, and security into all platforms and workflows
Influence cross-functional stakeholders across the business, fostering a culture of technical rigor, collaboration, and innovation, advising C Suite executives, leaders, and individual contributors
Lead the AI Governance group and drive best practices across business functions
Track and optimize KPIs on AI adoption, model performance, scalability, and business impact

What we offer

Comprehensive healthcare plans
Family-building benefits (fertility and adoption/surrogacy support)
Flexible time off
Annual wellness stipend
Free OneMedical memberships for you and your dependents
A CLEAR Plus membership
A 401(k) retirement plan with employer match
Catered lunches every day
Fully stocked kitchens
Stipends and reimbursement programs for well-being and learning & development

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 Technical Marketing Engineer

As a Principal Technical Marketing Engineer at Hewlett Packard Enterprise, you w...

Location

United States , Roseville

Salary:

148000.00 - 340500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Min. 15+ years of networking, security, telemetry, and automation experience
Min. 5+ years of TME experience
Security certification will be plus
Data Center certification will be plus
Excellent knowledge of Data Center Networking designs, architectures
Excellent knowledge of data center networking security, telemetry, and automation
Data Center deployment experience such as HPE or Dell EMC hyper converged solution, HPE Storage and Compute
Advanced networking knowledge such as BGP Based EVPN, EVPN-VXLAN
Advanced security knowledge such as IPsec, NAT, IDS, IPS, DDoS and NG-Firewall
Advanced telemetry knowledge such as IPFIX, gNMI, gRPC, Automation

Job Responsibility

Develop compelling demonstrations that best showcase HPE Aruba Networking industry-leading solutions for Security-first AI Powered Networking
Serve as the Aruba Switching authority and key technical advisor/guide for Aruba Enterprise Switching Products and Solutions
Create technical Enterprise Switching Architectures, Webinars, Videos, Documents/Collaterals, Podcasts, Blogs, Social media posts, Presentations, Resource Guides / Playbooks, Newsletters & email blast content, Webpages, and demonstrations for Aruba Switching platforms and solutions
Track and identify product solution gaps, competitive differentiation, and link outputs to marketing collateral and engineering developments
Learn and engage with SE/CSE/Customers, enhance knowledge and building subject-matter expertise (SME)
Create examples of use cases and network deployments, highlighting Aruba Switching’s unique value proposition
Develop 'deep-dive' technical presentations used by Aruba’s Pre-Sales Engineering team, Channel and Service Provider partners
Reinforce Core Product Managers in prioritizing Customer NFRs and writing PRDs
Assist System Engineers, Marketing, Sales teams with deep-dive technical presentations, roadmap updates and product demonstrations in selective engagements and for very large Opportunity engagements

What we offer

Extensive benefits
Competitive salary
Flexible work-life balance
Career growth programs
Diversity, inclusion, and belonging initiatives
Health and wellbeing support

Fulltime

Principal Product Manager

Microsoft is building the next generation of Agentic OS capabilities, enabling i...

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 including experience driving enterprise platforms or OS-level capabilities, including security, identity, manageability, or governance concerns
OR equivalent experience
Experience building or defining enterprise scale platforms (OS, cloud infrastructure, developer platforms, or management systems)
Familiarity with enterprise IT admin workflows, security/compliance models, identity systems, or policy driven platforms
Experience shaping AI, agentic, or automation platforms for enterprise scenarios
Track record of executive level communication, driving alignment on complex, cross company initiatives
Demonstrated ability to lead through high ambiguity, influencing engineering and partner teams across organizational boundaries
Technical fluency with the ability to engage deeply with system architecture, APIs, and platform trade-offs

Job Responsibility

Define and own the enterprise requirements strategy for the Agentic OS platform, including governance, security, compliance, identity, manageability, and extensibility
Translate enterprise customer, partner, and IT admin needs into clear platform requirements, guardrails, and design principles for agentic experiences
Drive alignment across engineering, security, identity, compliance, and policy teams to ensure enterprise-readiness is built into the core platform—not layered on later
Partner closely with platform and OS engineering teams to influence architecture, APIs, lifecycle management, and system behaviors that enable enterprise deployment and control
Serve as the PM point-of-view owner for how enterprises deploy, govern, and manage AI agents across devices, tenants, and environments
Identify and resolve cross-org gaps and constraints that block enterprise adoption, driving clarity through ambiguity and influencing without authority
Represent enterprise requirements in executive reviews, roadmap discussions, and cross company forums, shaping long term platform direction
Act as a multiplier by mentoring other PMs and establishing reusable frameworks, requirements patterns, and decision models for enterprise grade agent platforms

Fulltime

Principal Software Engineering Manager

Microsoft’s Azure Data engineering team is leading the transformation of analyti...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

15+ years of engineering experience in distributed systems, databases, platform engineering and cloud services.
4+ years leading engineering teams delivering highly available cloud services and infrastructure.
Experience with large scale services architectures and technologies.
Experience building solutions with Azure is a plus.
Demonstrated experience leading cross-org technical initiatives.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Job Responsibility

Leadership & Strategy: Define and evolve the long-term Fundamentals charter across engineering systems, reliability, security, observability, lifecycle, and AI-driven automation. Build a multi-year roadmap for service health, live‑site maturity, reliability KPIs, and standardization of platforms across Azure Data.
People Management: Lead, coach, and grow a high-performing engineering team with strong fundamentals in distributed systems, observability, security, and reliability. Drive clarity, purpose, inclusion, and manager excellence
sustain high team trust and effectiveness scores and deliver to the team’s charter and roadmap.
Technical Execution: Own and deliver end‑to‑end features across the full engineering lifecycle, including architecture, implementation, testing, debugging, production rollout, and live‑site support
Mentor and coach engineers through design reviews, code reviews, and operational learnings, raising engineering standards and on‑call readiness
Incorporate customer requirements, usage patterns, and live‑site signals into engineering decisions to improve reliability, scale, and usability
Drive an automation‑first engineering approach by leveraging AI across the engineering lifecycle—including design assistance, code quality improvements, test and validation automation, and migration tooling—while modernizing service telemetry, observability, and core service infrastructure.
Embody our culture and values

Fulltime

Principal Software Engineering Manager

Microsoft’s Azure Data engineering team is leading the transformation of analyti...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

12+ years of engineering experience in distributed systems, databases, platform engineering and cloud services
4+ years leading engineering teams delivering highly available cloud services and infrastructure
Experience with large scale services architectures and technologies
Experience building solutions with Azure is a plus
Demonstrated experience leading cross-org technical initiatives
Ability to meet Microsoft, customer and/or government security screening requirements
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Job Responsibility

Leadership & Strategy: Define and evolve the long-term Fundamentals charter across engineering systems, reliability, security, observability, lifecycle, and AI-driven automation. Build a multi-year roadmap for service health, live‑site maturity, reliability KPIs, and standardization of platforms across Azure Data
People Management: Lead, coach, and grow a high-performing engineering team with strong fundamentals in distributed systems, observability, security, and reliability. Drive clarity, purpose, inclusion, and manager excellence
sustain high team trust and effectiveness scores and deliver to the team’s charter and roadmap
Technical Execution: Own and deliver end‑to‑end features across the full engineering lifecycle, including architecture, implementation, testing, debugging, production rollout, and live‑site support
Mentor and coach engineers through design reviews, code reviews, and operational learnings, raising engineering standards and on‑call readiness
Incorporate customer requirements, usage patterns, and live‑site signals into engineering decisions to improve reliability, scale, and usability
Drive an automation‑first engineering approach by leveraging AI across the engineering lifecycle—including design assistance, code quality improvements, test and validation automation, and migration tooling—while modernizing service telemetry, observability, and core service infrastructure
Embody our culture and values

Fulltime

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

New

Principal Engineer - Java with Gen AI

Wells Fargo is seeking a Principal Engineer for Digital Technology & Innovation ...

Location

India , Bengaluru

Salary:

Not provided

Wells Fargo

Expiration Date

March 08, 2026

Requirements

7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Strong hands-on expertise in Java ecosystem (Spring Boot, REST APIs, microservices, concurrency, performance tuning) and Python
Proven experience designing large-scale distributed systems in production
1- 2 years of experience delivering GenAI systems, including hands-on work with: Applications powered by LLMs
RAG architectures
Embeddings and vector databases
Agent frameworks and orchestration
Experience integrating AI services into enterprise backend platforms
Strong cloud-native experience (GCP, Azure)
Ability to influence architectural decisions across complex systems

Job Responsibility

Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups
Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking
Translate advanced technology experience, an in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions
Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions
Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization
Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership
Deployment of GenAI services embedded into core Java-based banking platforms
Strong alignment between AI capabilities and commercial banking product strategy
Production-grade GenAI applications integrated into Java-based enterprise platforms
RAG pipelines, agent orchestration layers, and AI service abstractions callable from core Java systems

Fulltime

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Principal Engineering Manager, Core Platform & AI Systems

Highspot

Location:
United States , Seattle

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 16, 2026

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