Principal Engineering Manager - Applied AI Job at Highspot (Seattle)

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

AI Machine Learning Principal Engineer

Our Regulatory Engineering team thrives on the challenge of operating in a compl...

Location

Singapore , Singapore

Salary:

Not provided

Dell

Expiration Date

March 31, 2026

Requirements

Requires 8+ years of related experience in a professional role with a Bachelor’s degree
or 6+ years with a Master’s degree
or 3+ years with a PhD
or equivalent experience
Knowledge on product compliance, Safety, EMC, Wireless, Telecom and Environmental (e.g. Energy, Material, ECO Labels, Accessibility, Repairability, Packaging and etc.) legislation programs will be plus
Track record of being an enthusiastic and effective team player with experience leading and influencing internal and external stakeholders to ensure successful outcomes

Job Responsibility

Apply knowledge of AI machine learning, statistics, optimization, software engineering and data engineering to produce code for testing, operationalizing and governing software-integrated machine learning models
Works with stakeholders including business owners, software engineers, data scientists and data engineers to align and execute end-to-end solutions which start with data collection and management, extend through machine learning methodologies and efficiencies in software engineering, and end with governance of machine learning model performance
Optimizes code for existing data streams, machine learning models and APIs using best practices in software engineering and experimental design
Defines best practices for AI ML engineering, code optimization, model and system validation and model governance and educates prospects and customers on analytics and machine learning offerings
Leads the design and testing of analytical technologies, or the development/testing of new algorithms/functions to enhance capabilities within key market segments of interest
Leads definition of machine learning and data analytics vision, multiple use-case evaluation and selection criteria, as well as project-level scope definition for customers
Proactively identifies gaps and collaborates with engineering teams to find solutions, while solidifying commitments to execute these
Drives partnerships & relationships with third parties to develop vertical/horizontal analytical solutions and product integrations

What we offer

Comprehensive Healthcare Programs
Award Winning Financial Wellness Tools and Resources
Generous Leave of Absence for New Parents and Caregivers
Industry Leading Wellness Platform
Employee Assistance Program

Senior Principal Product Manager, Confluence AI

As a Senior Principal Product Manager on the AI team for our Confluence product,...

Location

United States , San Francisco

Salary:

183200.00 - 294400.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

10+ years of experience in product management, with a focus on AI, machine learning, or related technologies
Proven track record of successfully leading cross-functional teams to deliver complex software projects and successfully iterating on functionality through experimentation
Strong understanding of AI and machine learning concepts, with experience in applying these technologies to real-world products and solutions
Excellent communication and interpersonal skills, with the ability to convey complex ideas to both technical and non-technical stakeholders
Demonstrated ability to thrive in fast-paced environments with high levels of ambiguity, where priorities may shift rapidly and flexibility is essential for success

Job Responsibility

Own the vision and roadmap for AI within Confluence
Act as an AI leader across Atlassian, shaping the overall product strategy and thinking of AI from your vantage point within Confluence
Lead a direct cross-functional team of ~60 engineers, designers, data scientists, and other discipline leads to deliver high-quality AI functionality and features to end users
Collaborate closely with internal Confluence teams to support the integration of AI capabilities into their feature development process, ensuring alignment with AI program goals and coherence of experiences
Work closely with partner teams, including central platform teams, to align on vision, strategy, and execution plans for AI initiatives across Atlassian products
Define key results (KRs) and metrics to measure the success and impact of AI features, and use data-driven insights to iterate and improve
Meet regularly with customers to gather feedback and requirements, and to obtain a deep understanding of customer pain points
Stay informed about industry trends, emerging technologies, and competitive landscape related to AI and machine learning, and leverage this knowledge to drive innovation within Confluence
Act as a subject matter expert on AI technologies and methodologies, providing guidance and mentorship to team members and stakeholders
Communicate effectively with stakeholders at all levels of the organization, including executive leadership

What we offer

health and wellbeing resources
paid volunteer days

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

Senior Principal Machine Learning Engineer

You’ll form a new team of passionate engineers dedicated to building and scaling...

Location

United States

Salary:

222300.00 - 348975.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor’s, Master’s, or PhD in Computer Science, Statistics, Mathematics, or a related field, or equivalent practical experience
12+ years of industry experience in machine learning, data science, or AI, with a proven track record of delivering production-grade ML systems
Deep expertise in Python, Go, or Java, with the ability to write performant, production-quality code
familiarity with SQL, Spark, and cloud data environments (e.g., AWS, GCP, Databricks)
Experience building and scaling ML models for business-critical applications, ideally in security, privacy, anti-abuse, or compliance domains
Strong communication skills, able to explain complex ML concepts to diverse audiences and influence stakeholders
Demonstrated ability to solve ambiguous, complex problems and drive projects from ideation to production
Agile development mindset, with a focus on iterative improvement and business impact

Job Responsibility

Lead AI/ML Strategy for Trust: Drive the development and implementation of advanced machine learning algorithms and AI systems for Trust, Security, Product Abuse, and Compliance use cases (e.g., threat detection, vulnerability management, privacy automation, AI safety)
Architect and Scale ML Platforms: Design and build scalable, secure, and reliable ML infrastructure and pipelines, ensuring compliance with privacy and regulatory requirements
AI Safety and Responsible AI: Develop and champion AI safety practices, including output moderation, explainability, and alignment with evolving regulatory frameworks
Cross-Functional Collaboration: Partner with product, engineering, security, privacy, and analytics teams to deliver transformative AI/ML solutions that enhance Atlassian’s trust posture
Mentorship and Leadership: Mentor and guide ML engineers and data scientists, fostering a culture of technical excellence, innovation, and continuous improvement
Innovation and Research: Stay at the forefront of AI/ML research, evaluating and applying the latest techniques (e.g., LLMs, anomaly detection, privacy-preserving ML) to real-world Trust challenges
Platform Enablement: Build reusable ML services and APIs that empower other teams to integrate AI/ML into their products and workflows
Operational Excellence: Ensure high availability, reliability, and security of all ML-powered Trust platforms and services

What we offer

health and wellbeing resources
paid volunteer days
benefits, bonuses, commissions, and equity

Fulltime

Principal Data Engineer

Our Principal Data Engineers are responsible for leading and delivering strategi...

Location

United Kingdom , Bristol; London; Manchester; Swansea

Salary:

100000.00 - 115000.00 GBP / Year

Made Tech

Expiration Date

Until further notice

Requirements

Understanding of the issues and challenges that the public sector faces in delivering services that make the best use of data and digital capabilities, transforming legacy infrastructure, and taking an innovative and user-centric approach
Ability to innovate and take learnings from the commercial sector, other countries and advances in technology and apply them to UK Public Sector challenges to create tangible solutions for our clients
Experience building trusted advisor relationships with senior client stakeholders within the public sector.
Experience of building and leading high performing, consulting teams and creating the leveraged engagements to provide a cost-effective, profitable, successful client-facing delivery
Leadership of bids and solution shaping to produce compelling proposals that help Made Tech win new business and grow the industry
Experience of managing third-party partnerships and suppliers (in conjunction with Made Tech colleagues) to provide a consolidated and seamless delivery team to clients.
Experience in delivering complex and difficult engagements that span multiple capabilities for user-facing digital and data services in the public sector
Experience in identifying opportunities based on client needs and developing targeted solutions to progress the development of the opportunity
Experience of working with sales professionals and commercial responsibility for strategic organisational goals.
Experience working directly with customers and users within a technology consultancy

Job Responsibility

Collaborate with clients to understand their needs, provide solution advice in your role as a trusted advisor and shape solutions that leverage Made Tech's wider capabilities and credentials
Assess project performance as a part of the billable delivery team, Quality Assure (QA) the deliverables and outcomes, and ensure client satisfaction. Coach and mentor team members as well as providing direction to enable them to achieve their engagement outcomes and to develop their careers
Act as a Technical Authority of the Data & AI capability to provide oversight and ensure alignment with internal and industry best practices. Ensure engagement experience is captured and used to improve standards and contribute to Made Tech knowledge
Participate in business development activities, including bids and pre-sales within the account, industry and practice. Coach team members on their contributions and oversee the relevant technical aspects of the proposal submission
Undertake people management responsibilities, including performance reviews and professional development of your engagement and practice colleagues
Serve as a thought leader within Made Tech, our account engagements and the wider public sector and represent the company at industry events

What we offer

30 days of paid annual leave + bank holidays
Flexible Parental Leave
Remote Working
Paid counselling as well as financial and legal advice
Flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme, and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan
Optional social and wellbeing calendar of events

Fulltime

Principal Product Manager – Network as a Service, NaaS - Platforms

The Network as a Service (NaaS) team at T-Mobile is an emerging business unit fo...

Location

United States , Bellevue

Salary:

133800.00 - 241400.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Deep expertise in platform product management, including API-driven and cloud-based platforms
Strong business acumen, aligning platform vision with enterprise strategy and customer needs
Experience managing cross-product platform capabilities, ensuring scalability, security, and efficiency
System thinking, with an ability to break down complex technical systems into modular and reusable components
Proven leadership, coaching, and mentoring skills, fostering a growth mindset across teams
Exceptional communication and influence, engaging senior executives and cross-functional stakeholders
Strong technical program management expertise, with experience managing end-to-end delivery of complex platform solutions
Bachelor's Degree in Engineering, Business, or related field
10+ years of Product Management experience, ideally in network services, platforms, or enterprise SaaS
Proven track record of owning and scaling enterprise platform products

Job Responsibility

Define and own NaaS platform vision, strategy, and roadmap, ensuring alignment with business, technical, and product needs
Partner with product managers to translate individual product requirements into scalable, reusable platform capabilities
Apply system thinking to design robust, scalable, and modular platform solutions that serve multiple use cases
Conduct competitive analysis and industry research to ensure platform innovation and technical differentiation
Secure funding for platform initiatives, building strong business cases and conducting ROI analysis
Lead end-to-end execution, including defining platform scope, managing roadmaps, and ensuring seamless integration across NaaS products
Work closely with engineering, architecture, and DevOps teams to deliver secure, scalable, and high-performing platform solutions
Own and prioritize the platform product backlog, balancing feature development, technical debt, and business priorities
Ensure compliance with security, data privacy, and regulatory standards across NaaS platform solutions
Drive technical program management efforts, ensuring efficient execution, risk mitigation, and dependency management

What we offer

Competitive base salary and compensation package
Annual stock grant
Employee stock purchase plan
401(k)
Access to free, year-round money coaches
Medical, dental and vision insurance
Flexible spending account
Paid time off
Up to 12 paid holidays
Paid parental and family leave

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

Principal Engineering Manager - Applied AI

Highspot

Location:
United States , Seattle

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 09, 2025

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