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 AI Architect

We are seeking a Principal AI Architect who will own both the AI strategy and en...

Location

United States

Salary:

173000.00 - 190000.00 USD / Year

PointClickCare

Expiration Date

Until further notice

Requirements

12+ years of experience in enterprise, solution, or platform architecture roles within B2B SaaS or large-scale technology organizations
Proven experience designing and running AI systems in real production environments
Strong experience working across end-to-end B2B SaaS customer and revenue lifecycles including marketing, sales, quoting, contracting, billing, revenue recognition, service, and customer success platforms
Experience designing enterprise architecture for HR and corporate technology domains, with the ability to take ownership of these platforms and drive solution architecture without dependency on specific vendors or tools
Deep understanding of Generative AI, large language models, agent architectures, RAG patterns, and AI orchestration frameworks
Strong proficiency in Python with experience building backend services, APIs, and containerized workloads
Hands-on experience with LLM platforms such as OpenAI, Azure OpenAI, or Anthropic
Hands-on experience with agent frameworks such as LangChain, LangGraph, CrewAI, or AutoGen
Experience designing secure, scalable, multi-tenant enterprise and SaaS architectures
Experience leading architecture for large-scale business and technology transformation programs

Job Responsibility

Define and drive enterprise AI strategy and architecture within a B2B SaaS and enterprise technology environment
Design and govern AI solutions across the full customer lifecycle including marketing, sales, solution engineering, quoting, contracting, billing, revenue recognition, service, and customer success management
Architect and scale Generative AI, agent-based systems, RAG architectures, and intelligent automation in production SaaS platforms
Own enterprise architecture across core business and corporate platforms including customer, revenue, and operational systems such as CRM, quoting, contracting, billing, HR, and IT Service Management environments, with the ability to rapidly learn new technologies and design scalable solution architectures independent of specific tools or vendors
Architect and develop agentic enterprise capabilities that enhance business operations, workload orchestration, and user-facing automation
Design and implement LLM-powered agents using platforms such as Microsoft Copilot Studio and Salesforce Agentforce
Design orchestration patterns using frameworks and platforms such as Salesforce Agentforce, Microsoft Copilot, LangGraph, CrewAI, and LangChain to enable multi-agent collaboration across systems
Define architectural guardrails, platform standards, and lifecycle management practices for scalable, secure AI and enterprise systems
Act as a technical authority to review, challenge, and guide vendor, system integrator, and internal team architectures
Lead architecture governance by defining review frameworks, validating solution designs, and driving alignment to enterprise standards

What we offer

Benefits starting from Day 1
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more

Fulltime

Principal AI Architect

We are seeking a Principal AI Architect who will own both the AI strategy and en...

Location

Canada , Mississauga

Salary:

164000.00 - 182000.00 CAD / Year

PointClickCare

Expiration Date

Until further notice

Requirements

12+ years of experience in enterprise, solution, or platform architecture roles within B2B SaaS or large-scale technology organizations
Proven experience designing and running AI systems in real production environments
Strong experience working across end-to-end B2B SaaS customer and revenue lifecycles including marketing, sales, quoting, contracting, billing, revenue recognition, service, and customer success platforms
Experience designing enterprise architecture for HR and corporate technology domains, with the ability to take ownership of these platforms and drive solution architecture without dependency on specific vendors or tools
Deep understanding of Generative AI, large language models, agent architectures, RAG patterns, and AI orchestration frameworks
Strong proficiency in Python with experience building backend services, APIs, and containerized workloads
Hands-on experience with LLM platforms such as OpenAI, Azure OpenAI, or Anthropic
Hands-on experience with agent frameworks such as LangChain, LangGraph, CrewAI, or AutoGen
Experience designing secure, scalable, multi-tenant enterprise and SaaS architectures
Experience leading architecture for large-scale business and technology transformation programs

Job Responsibility

Define and drive enterprise AI strategy and architecture within a B2B SaaS and enterprise technology environment
Design and govern AI solutions across the full customer lifecycle including marketing, sales, solution engineering, quoting, contracting, billing, revenue recognition, service, and customer success management
Architect and scale Generative AI, agent-based systems, RAG architectures, and intelligent automation in production SaaS platforms
Own enterprise architecture across core business and corporate platforms including customer, revenue, and operational systems such as CRM, quoting, contracting, billing, HR, and IT Service Management environments, with the ability to rapidly learn new technologies and design scalable solution architectures independent of specific tools or vendors
Architect and develop agentic enterprise capabilities that enhance business operations, workload orchestration, and user-facing automation
Design and implement LLM-powered agents using platforms such as Microsoft Copilot Studio and Salesforce Agentforce
Design orchestration patterns using frameworks and platforms such as Salesforce Agentforce, Microsoft Copilot, LangGraph, CrewAI, and LangChain to enable multi-agent collaboration across systems
Define architectural guardrails, platform standards, and lifecycle management practices for scalable, secure AI and enterprise systems
Act as a technical authority to review, challenge, and guide vendor, system integrator, and internal team architectures
Lead architecture governance by defining review frameworks, validating solution designs, and driving alignment to enterprise standards

What we offer

Benefits starting from Day 1
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition

Fulltime

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