ai engineering manager

Optum

<div>Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. 
As Senior Director of AI/ML Engineering, you will build and scale the AI/ML engineering function within our Enterprise Digital Experience Technology organization. Leading a team of engineers across multiple scrum teams, you will expand the organization to support enterprise-wide growth as AI solutions scale across corporate functions. This leadership role combines deep AI/ML technical expertise, platform engineering leadership, and organizational leadership to deliver reusable AI capabilities, establish agent-ready data strategies, and achieve measurable business outcomes across complex enterprise data environments. 
You'll enjoy the flexibility to work remotely* from anywhere within the U.S., preferably in MN, as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. 
Primary Responsibilities:<ul><li>
Build and scale the AI/ML engineering function that will drive Enterprise Functions AI Transformation leveraging Forward Deployed Engineering concepts</li><li>
Build a team of AI/ML Engineers and Forward Deployed Engineers that will scale AI solutions across the enterprise</li><li>
Design, develop, and deploy AI-powered solutions, platforms, and automations to address complex enterprise business challenges, with an emphasis on the safe and responsible use of AI</li><li>
Deliver reusable AI capabilities, internal developer platforms, engineering accelerators, shared UI frameworks, and agent-ready data capabilities that accelerate AI deployment and adoption across corporate functions</li><li>
Partner directly with business function stakeholders (e.g., Finance, HR, Legal, Operations) to reimagine, redesign, and transform corporate processes through AI-enabled solutions</li><li>
Drive the technical vision and execution of advanced AI architectures, taking solutions from prototype/MVP through enterprise production deployment, scaling, and operational transition to support teams</li><li>
Establish data quality, governance, and agent-ready data strategies to support seamless enterprise AI adoption and ensure data integrity</li><li>
Leverage enterprise-approved AI tools and modern engineering technologies to streamline workflows, automate complex tasks, and drive continuous improvement across engineering teams</li><li>
Evaluate emerging AI trends, frameworks, and architecture patterns to inform platform solution design, technical roadmap creation, and strategic innovation</li><li>
Define and enforce enterprise engineering standards for security, responsible AI, data architecture, platform engineering, and governance in large, fragmented enterprise environments</li></ul> 
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:<ul><li>
Bachelor's degree in Computer Science, Engineering, or a related technical field (or 4+ years of equivalent software engineering / technical leadership experience in lieu of a degree)</li><li>
12+ years of experience in software engineering, platform engineering, or AI/ML engineering</li><li>
5+ years of direct people management experience leading software engineering organizations and managing engineering managers, with a proven track record of leading organizations of 15+ employees across multiple Agile/Scrum teams within an AIDLC framework</li><li>
Demonstrated experience taking AI solutions from prototype/MVP through enterprise production deployment, scaling, and operational transition to support teams</li><li>
Experience partnering directly with business functions (e.g., Finance, HR, Legal, Operations) to redesign and transform business processes through AI-enabled solutions</li><li>
Demonstrated ability to discuss and explain the practical application of AI technologies through direct implementation experience, including agent architectures, orchestration, RAG, evaluation frameworks, and AI guardrails</li><li>
Experience establishing data quality, governance, and agent-ready data strategies to support enterprise AI adoption</li><li>
Principal or Staff-level architecture experience building reusable engineering platforms, developer accelerators, and defining enterprise standards for security, governance, and responsible AI</li><li>
Proficiency in Python, along with experience using TypeScript or JavaScript</li><li>
Experience with enterprise cloud platforms (Azure preferred; AWS or GCP acceptable), Kubernetes, containers, CI/CD, Infrastructure-as-Code, and enterprise data platforms such as Databricks or Snowflake</li><li>
Proven track record translating AI strategy into measurable business results and partnering effectively with executive stakeholders</li></ul> 
Preferred Qualifications:<ul><li>
Advanced degree (Master's, MBA, or Ph.D.) in a technical or quantitative discipline</li><li>
Experience building AI/ML platforms and solutions on Microsoft Azure, including Azure AI and Azure OpenAI services</li><li>
Experience operating within highly regulated industries such as healthcare, financial services, insurance, or other complex enterprise environments</li><li>
Experience supporting Finance transformation initiatives, including FP&amp;A, Record-to-Report (R2R), or related enterprise finance processes</li><li>
Experience leading innovation, incubation, accelerator, or rapid-delivery engineering teams focused on emerging technologies and business transformation</li><li>
Experience standing up or scaling a Forward Deployed Engineering (FDE) organization, AI Center of Excellence (CoE), or AI Platform organization</li><li>
Experience leading enterprise AI transformation initiatives within Fortune 500 companies</li><li>
Experience building internal developer platforms, shared UI frameworks, and reusable engineering accelerators adopted across multiple engineering teams</li><li>
Experience transitioning technical delivery and support from vendor/consulting models or incubation teams to permanent internal engineering teams</li><li>
Demonstrated passion for leveraging technology and AI to solve complex healthcare challenges and improve business outcomes</li></ul><ul><li> 
All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.</li></ul> 
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $203,200 - $348,400 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. 
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. 
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. 
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.</div>

Senior Director, AI/ML Engineering - Remote , MN preferred

LiteLLM

<div><h1 class="jobSectionHeader">Technical Product Manager</h1>
LiteLLM is the world's most popular AI Gateway, trusted by companies like Adobe, Netflix, and NASA. We're building the next generation of infrastructure for AI applications&mdash;and now we're building our second product.
We're looking for a Technical Product Manager who wants to work directly with the founders to figure out what developers need, ship quickly, and build products that thousands of engineering teams use every day.<h2 class="jobSectionHeader"> 
About the Role</h2>
This isn't a traditional product management role, and it isn't a traditional software engineering role.
NOTE: You will spend 50% of your time coding, and 50% of your time talking to users.
You'll spend your time talking to customers, understanding their problems, designing solutions, writing production code, and shipping features. One week you might build a new authentication flow, the next week you're redesigning an onboarding experience, integrating with a new provider, or launching an entirely new product.
If you enjoy owning a problem end-to-end&mdash;from idea to production&mdash;you'll thrive here.<h2 class="jobSectionHeader"> 
Responsibilities</h2><ul><li>
Build new product features from concept to production.</li><li>
Work directly with customers to understand pain points and validate solutions.</li><li>
Ship quickly while maintaining a high quality bar.</li><li>
Prototype new ideas and iterate based on user feedback.</li><li>
Own major product areas and continuously improve them over time.</li><li>
Design backend APIs and services using Python and FastAPI.</li><li>
Build intuitive developer experiences across our API, dashboard, and CLI.</li><li>
Collaborate directly with the founders on product direction and technical decisions.</li><li>
Help define and build LiteLLM's second major product.</li></ul><h2 class="jobSectionHeader"> 
What We're Looking For</h2><ul><li>
Bachelor's or Master's degree in Computer Science or a related field.</li><li>
Experience as a product manager or associate product manager at a company</li><li>
Strong software engineering fundamentals.</li><li>
Experience building production software, preferably with Python.</li><li>
Comfortable moving across the stack when needed (backend, frontend, infrastructure, APIs).</li><li>
Strong product intuition and curiosity about how customers use software.</li><li>
Excellent written and verbal communication.</li><li>
High ownership&mdash;you naturally identify problems and solve them without waiting to be asked.</li><li>
Comfortable operating in ambiguity and making decisions with incomplete information.</li><li>
Excited by shipping quickly and learning from real users.</li></ul><h2 class="jobSectionHeader"> 
Bonus Points</h2><ul><li>
Experience at an early-stage startup.</li><li>
Experience building developer tools or infrastructure products.</li><li>
Open source contributions.</li><li>
You've built and launched your own product.</li><li>
Familiarity with AI infrastructure, LLMs, or developer platforms.</li></ul><h2 class="jobSectionHeader"> 
Why Join LiteLLM?</h2><ul><li>
Work directly with the founders every day.</li><li>
Build products used by thousands of engineering teams around the world.</li><li>
Own meaningful product decisions&mdash;not just implementation.</li><li>
Move incredibly fast and see your work in production immediately.</li><li>
Help define the future of AI infrastructure and developer tooling.</li><li>
Competitive salary, equity, health, dental, and vision benefits.</li></ul><h2 class="jobSectionHeader"> 
About LiteLLM</h2>
LiteLLM is the world's most widely adopted AI Gateway. We provide a unified API for 100+ LLM providers along with routing, authentication, budgets, observability, and governance for production AI systems. Thousands of companies rely on LiteLLM to power AI in production.
If you love talking to users, building products, and shipping software that people actually use, we'd love to meet you.
Compensation Range: $200K - $260K</div>

Technical Product Manager

Mashreq

<div>
 Job Description
 
 Designation: Assistant Manager &ndash; RBG Analytics
 
 Department: RBG Analytics
 
 Experience: 6-8 Years
 
 Location: Pakistan
 
 
 Role Purpose
 
 The Assistant Manager &ndash; AI &amp; Machine Learning will support the development of advanced analytics and AI-driven solutions to enhance digital banking performance, customer engagement, and marketing effectiveness. The role focuses on leveraging customer digital footprint data across digital channels to generate insights, develop predictive models, and optimize digital marketing campaigns and customer journeys.
 
 In addition to traditional machine learning expertise, the role requires foundational AI Engineering capabilities, including familiarity with Large Language Models (LLMs) and their application in banking use cases such as customer support automation, intelligent search, and digital engagement solutions.
 
 The role requires strong analytical capability, technical expertise in machine learning, and the ability to translate digital behavioral data into actionable insights that support business growth and customer experience initiatives.
 
 
 Ability to deliver Use cases in RM Efficiency/Productivity improvement
 
 Ability to do Analytics on Commercial Banking / Corporate Banking Portfolio and Identity Opportunities
 
 Portfolio Analytics on CASA Portfolio to support CASA Squad and Product team
 
 Bringing robust tracking and campaign fulfillment process for Liabilities /Trade Finance/ Working Capital
 
 
 Key Result Areas (KRA)
 
 1. Machine Learning &amp; Predictive Analytics
 
 - Develop and deploy machine learning models to support digital banking use cases such as customer segmentation, churn prediction, next-best-product recommendations, and campaign targeting.
 
 - Implement predictive analytics models to improve customer engagement and product adoption across digital channels.
 
 - Continuously monitor model performance and refine algorithms to improve accuracy and business impact.
 
 Digital Marketing Analytics
 
 - Support marketing teams in evaluating digital campaign performance using advanced analytics and AI-driven insights.
 
 - Build models for campaign targeting, customer propensity, and marketing attribution.
 
 - Provide insights on channel effectiveness, campaign ROI, and customer acquisition strategies.
 
 4. AI Engineering &amp; LLM Applications
 
 - Support the design and development of AI-powered solutions using Large Language Models (LLMs) for digital banking use cases.
 
 - Assist in building AI-driven tools such as chatbots, intelligent assistants, knowledge search, and automated content generation.
 
 - Integrate AI models and APIs into banking platforms and analytics workflows.
 
 - Experiment with prompt engineering and model fine-tuning to enhance AI solution performance.
 
 5. Data Preparation &amp; Feature Engineering
 
 - Extract, clean, and transform large datasets from multiple banking systems and digital platforms.
 
 - Develop feature engineering strategies to improve machine learning model performance.
 
 - Work with data engineering teams to ensure efficient data pipelines for analytics use cases.
 
 6. Collaboration with Business &amp; Product Teams
 
 - Work closely with digital banking, marketing, and product teams to identify data-driven opportunities.
 
 - Translate business requirements into analytical models and actionable insights.
 
 - Present findings and recommendations to stakeholders to support strategic decisions.
 
 
 Problem Solving &amp; Decision Making
 
 Analytical Problem Solving
 
 - Analyze complex datasets to identify patterns, anomalies, and opportunities that improve customer engagement and digital banking performance.
 
 - Apply statistical techniques and machine learning methods to solve real business challenges.
 
 AI Solution Design
 
 - Support decision-making related to the selection and application of AI/ML models, including LLM-based solutions for digital banking processes.
 
 - Evaluate trade-offs between model performance, scalability, and usability in production environments.
 
 Data Interpretation &amp; Business Insights
 
 - Translate complex analytical outputs into clear business insights that can inform marketing strategies and product development.
 
 
 Technical Skills
 
 Programming &amp; Data Analysis
 
 - Strong proficiency in Python for machine learning and data analysis.
 
 - Experience with SQL for data extraction and manipulation.
 
 - Knowledge of R is an added advantage.
 
 Machine Learning &amp; AI
 
 - Experience with machine learning algorithms including regression, classification, clustering, and recommendation systems.
 
 - Hands-on experience with libraries such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or LightGBM.
 
 AI Engineering &amp; LLM Technologies
 
 - Understanding of Large Language Models (LLMs) and their applications.
 
 - Experience working with LLM APIs and frameworks (e.g., OpenAI APIs, LangChain, or similar frameworks).
 
 - Basic knowledge of prompt engineering, embeddings, and retrieval-augmented generation (RAG).
 
 - Familiarity with developing AI-enabled applications such as chatbots or knowledge assistants.
 
 Data Processing
 
 - Experience working with large datasets using Pandas, NumPy, and big data frameworks such as PySpark or Spark.
 
 Digital Analytics Tools
 
 - Familiarity with digital analytics platforms such as Google Analytics, Adobe Analytics, or similar tools.
 
 - Experience analyzing customer digital behavior and clickstream data.
 
 Data Visualization
 
 - Ability to build dashboards and visualizations using Power BI, Tableau, or similar BI tools.
 
 
 Skills &amp; Competencies
 
 - Strong analytical and problem-solving abilities
 
 - Ability to work with large and complex datasets
 
 - Understanding of digital customer journeys and online behavior analytics
 
 - Foundational understanding of AI engineering concepts and LLM applications
 
 - Effective communication and presentation skills
 
 - Ability to translate analytical insights into business recommendations
 
 - Collaborative approach to working with cross-functional teams
 
 
 Educational Qualifications
 
 Bachelor&rsquo;s or master&rsquo;s degree in one of the following disciplines:
 
 - Computer Science
 
 - Data Science
 
 - Artificial Intelligence
 
 - Statistics
 
 - Engineering or related quantitative field Bottom of Form
</div>

Assistant Manager - Analytics (Mashreq Global Network Pakistan)

Ophthalytics Inc

Company: OphthalyticsEmployment Type: Full-TimeLocation: Lahore, PakistanExperience: 7+ YearsReporting to: Chief Executive Officer (CEO)Shift Timings: 12:00 PM - 9:00 PM PKTSalary: Competitive USD-based compensation package, aligned with experience and expertiseAbout OphthalyticsOphthalytics is a fast-growing US healthcare AI startup expanding globally. Our mission is to end preventable blindness worldwide by enabling early detection of vision-threatening diseases using advanced imaging and AI.We are among a small number of companies building Explainable AI (XAI) algorithms&mdash;AI that produces clinically meaningful outputs with transparency and trust.Job SummaryWe are seeking a strategic and execution-focused Product Manager to lead the product vision and roadmap for our AI-powered healthcare diagnostics platforms. This role will be responsible for translating clinical needs, regulatory requirements, customer feedback, and commercial objectives into a clear and prioritized product roadmap.The ideal candidate will work closely with healthcare providers, engineering teams, clinical stakeholders, and executive leadership to scale products already deployed in primary care clinics and expand adoption through major distribution partnerships.Key ResponsibilitiesProduct Strategy &amp; Roadmap<ul><li>Own and manage the product roadmap across our AI-powered healthcare diagnostics product suite.</li><li>Define and prioritize product initiatives aligned with company goals and market opportunities.</li><li>Translate customer, clinical, and business requirements into actionable and well-scoped product plans.</li><li>Drive product lifecycle management from ideation through launch and ongoing optimization.</li></ul>Cross-Functional Collaboration<ul><li>Work directly with clinical partners, health system customers, Engineering teams, AI/ML teams, and Executive leadership.</li><li>Facilitate clear communication between technical and non-technical stakeholders.</li><li>Coordinate product delivery timelines, release planning, and go-to-market activities.</li></ul>Healthcare &amp; AI Product Development<ul><li>Define requirements for EHR integrations, AI-generated diagnostic reports, autonomous diagnostic workflows, and clinical decision support tools.</li><li>Collaborate with engineering and AI teams to ensure scalable, compliant, and high-quality product delivery.</li><li>Support usability improvements and ongoing customer experience optimization.</li></ul>Regulatory &amp; Commercialization Support<ul><li>Support FDA regulatory submission documentation and product readiness activities.</li><li>Ensure product requirements align with healthcare compliance and regulatory standards.</li><li>Collaborate on go-to-market planning and commercialization strategies.</li></ul>Product Analytics &amp; KPI Management<ul><li>Track and analyze KPIs including customer adoption, product engagement, report generation volume, revenue pipeline impact, and operational efficiency.</li><li>Use data-driven insights to continuously improve product performance and customer outcomes.</li><li>Monitor market trends, customer feedback, and competitive activity.</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s degree in Business, Healthcare, Engineering, Computer Science, or related field.</li><li>7+ years of product management experience.</li><li>Experience managing SaaS, healthcare technology, or AI-driven products.</li><li>Strong understanding of product lifecycle management and agile methodologies.</li><li>Experience working with cross-functional technical and clinical teams.</li><li>Excellent communication, leadership, and stakeholder management skills.</li><li>Ability to balance strategic planning with execution.</li></ul>Preferred Qualifications<ul><li>Experience in healthcare AI, medical imaging, diagnostics, or digital health platforms.</li><li>Familiarity with FDA-regulated software products and regulatory workflows.</li><li>Knowledge of EHR systems and healthcare interoperability standards.</li><li>Experience supporting commercialization strategies or grant-funded product initiatives.</li><li>Understanding of AI/ML product workflows and healthcare analytics.</li></ul>Key Skills<ul><li>Product Strategy</li><li>Product Roadmapping</li><li>Healthcare Technology</li><li>AI/ML Product Management</li><li>Regulatory Coordination</li><li>Stakeholder Management</li><li>Cross-Functional Leadership</li><li>Agile &amp; Scrum Methodologies</li><li>Data Analysis &amp; KPI Tracking</li><li>Customer Experience Optimization</li></ul>What Success Looks Like<ul><li>Successfully deliver scalable healthcare AI products aligned with customer and clinical needs.</li><li>Improve product adoption and engagement across healthcare systems.</li><li>Build strong relationships with clinical and enterprise partners.</li><li>Support successful regulatory and commercialization initiatives.</li><li>Drive measurable business and operational impact through product innovation.</li></ul>How to ApplyPlease send:<ul><li>Resume to careers@ophthalytics.com</li><li>Email Subject: US-Based Pakistan Office - AI Product Manager &ndash; Healthcare Technology</li><li>Briefly describe your strongest area and one product you&rsquo;ve taken from concept to launch.</li></ul>Work Location: In person

US-Based Startup Pakistan Office - AI Product Manager – Healthcare Technology

Procore Technologies

<div>
 
 Job Ad
 
 
 
 We&rsquo;re looking for a
 
 Senior Software Engineer - Agentic Foundation
 
 to join Procore&rsquo;s Product &amp; Technology team. In this role, you&rsquo;ll build and operate the tooling, frameworks, and services that make AI-native workflows the default across Procore's software development lifecycle. The primary goal of this role is to treat AI adoption as an internal product, empowering engineering teams to achieve high velocity without compromising on quality in this critical functional domain.
 
 
 As a Senior Software Engineer - Agentic Foundation, you&rsquo;ll partner with engineering, product, product design, data, security, and business systems teams to design, build, and evolve the core agentic tooling and frameworks that enable Procore engineers to leverage AI natively across the software development lifecycle. Use your backend systems depth, DevOps instincts, and hands-on AI workflow expertise to accelerate developer productivity and shape the agentic future of construction software. Shape the cutting-edge future of AI-driven developer platforms &mdash; join us today!
 
 
 This position reports into a Senior Manager, Software Engineering and will be based in our Cairo, Egypt office. We&rsquo;re looking for someone to join us immediately.
 
 
 
 What you&rsquo;ll do:
 
 
 
 <ul>
 <li>
 AI is central to how we work. You&rsquo;ll be expected to master generative tools and agentic workflows, moving beyond just using AI to actively building the agentic future of construction.
 </li>
 <li>
 Design, build, and evolve the core agentic tooling and frameworks that enable Procore engineers to leverage AI natively across the software development lifecycle &mdash; from code generation and review to test orchestration and deployment.
 </li>
 <li>
 Build the feedback loop between AI tool usage and engineering outcomes by instrumenting how agentic workflows impact cycle time, change failure rate, and developer throughput.
 </li>
 <li>
 Evaluate and integrate AI tools and frameworks into Procore's supported agentic tooling suite, making build-vs-buy decisions grounded in real usage and team feedback.
 </li>
 <li>
 Vet community-built skills and tools contributed by engineers across the organization, define evaluation criteria, and promote successful solutions into the officially supported tooling suite.
 </li>
 <li>
 Establish and champion engineering standards, best practices, and platform contracts that allow hundreds of development teams to ship safely at high velocity.
 </li>
 <li>
 Master generative tools and agentic workflows to actively build the automated future of construction software.
 
 
 </li>
 </ul>
 
 What we&rsquo;re looking for:
 
 
 
 <ul>
 <li>
 5+ years of professional software engineering experience, with demonstrated depth in full-stack development and backend systems.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, a related technical field, or equivalent practical experience.
 </li>
 <li>
 Strong technical fundamentals in at least one of the following: Ruby on Rails, Python, or TypeScript, alongside comfort reading and contributing across multiple languages.
 </li>
 <li>
 Hands-on experience with AI coding tools (e.g., Claude, Cursor, Copilot) and building or customizing AI-assisted workflows (e.g., prompt engineering, MCP integrations, evals, or agentic pipelines).
 </li>
 <li>
 Solid DevOps instincts regarding deployment strategies, rollback mechanisms, feature flags, Kubernetes service operation, and CI/CD pipeline management.
 </li>
 <li>
 Adaptable and experimental characteristic mindset with the ability to explore uncharted territory, evaluate fast-moving AI technologies critically, and distinguish proven solutions from trends.
 </li>
 <li>
 Experience building or integrating AI-native developer tooling, LLM evaluation frameworks, or AI/LLM Gateways (such as MCPs or MCP Gateways) is highly preferred.
 </li>
 <li>
 Familiarity with how AI Agents and LLMs work under the hood, or previous experience working within Developer Platform, DevOps, or Developer Experience teams is a plus.
 </li>
 </ul>
</div>

Senior Software Engineer, Agentic Foundation

Rubis software solutions

<ul><li>Job Title: Technical Product Manager</li><li>Location: Plano, Texas, US (Hybrid)</li><li>Employment Type: Full-Time</li><li>Experience Level: 8+ years</li><li>Industry: Technology / SaaS / Data Platforms</li></ul>About the RoleWe are looking for a Product Manager Technical (PM-T) to lead the development of a next-generation, AI-powered Observability Platform that ingests, processes, and visualizes large-scale operational data.This platform goes beyond traditional monitoring&mdash;evolving into an intelligent system powered by AI agents capable of:<ul><li>Detecting anomalies</li><li>Diagnosing root causes</li><li>Recommending actions</li><li>Enabling semi/fully autonomous remediation workflows</li></ul>This role sits at the intersection of product, engineering, data, and AI, requiring strong technical depth in Elasticsearch, MongoDB, MERN stack, and modern data architectures, along with the ability to translate complex requirements into clear, actionable user stories and intelligent workflows.Key ResponsibilitiesProduct Ownership &amp; Strategy<ul><li>Define and drive the product roadmap for the observability platform (logs, metrics, traces, job monitoring)</li><li>Work closely with stakeholders to identify gaps in monitoring, alerting, and analytics</li><li>Prioritize features based on business impact, scalability, and user value</li><li>Define and articulate a long-term vision for the observability platform beyond immediate requirements</li><li>Proactively identify emerging trends in observability (AI-driven monitoring, predictive alerts, anomaly detection, auto-remediation)</li><li>Anticipate customer needs and build features ahead of explicit demand</li><li>Drive innovation by proposing new capabilities, workflows, and insights that differentiate the platform</li><li>Think in terms of platform evolution, not just feature delivery (e.g., from monitoring &rarr; insights &rarr; predictions &rarr; autonomous systems)</li><li>Continuously evaluate gaps in current solutions and translate them into forward-looking product bets</li></ul>AI Agent &amp; Intelligent Systems Integration (Core Focus)<ul><li>Define and drive the vision for AI agents within the observability platform, such as:</li><li>Root Cause Analysis (RCA) agents</li><li>Anomaly detection agents</li><li>Alert summarization agents</li><li>Incident co-pilot / assistant agents</li><li>Design workflows where AI agents:</li><li>Interpret logs, metrics, and traces</li><li>Correlate events across systems</li><li>Provide actionable insights to users</li><li>Collaborate with AI/ML teams to:</li><li>Define model inputs/outputs and feedback loops</li><li>Ensure explainability and trust in AI decisions</li><li>Build human-in-the-loop systems where users can validate, refine, and guide AI decisions</li><li>Define guardrails, accuracy benchmarks, and evaluation metrics for AI-driven features</li></ul>Product Management - Technical<ul><li>Act as a bridge between engineering and business teams with deep technical context</li><li>Write actionable Product Requirement Documents (PRDs) adhering to client requirements and system architecture</li><li>Define system behaviors for both deterministic pipelines and AI-driven workflows</li><li>Ensure seamless integration between:</li><li>Data ingestion pipelines</li><li>Storage layers (Elasticsearch, MongoDB)</li><li>AI inference layers</li></ul>User Story Definition (Critical Responsibility)<ul><li>Write detailed, engineering-ready user stories with:</li><li>Clear acceptance criteria</li><li>Edge cases and failure scenarios</li><li>Data flow and API expectations</li><li>Break down high-level features into granular, sprint-ready stories</li><li>Ensure stories are aligned with system architecture and performance considerations</li></ul>Observability &amp; Domain Understanding<ul><li>Define features around:</li><li>Log ingestion &amp; parsing</li><li>Metrics aggregation</li><li>Alerting &amp; anomaly detection</li><li>Pipeline/job monitoring (ADF, Airflow, etc.)</li><li>Design dashboards, KPIs, and drill-down workflows for users</li></ul>Execution &amp; Delivery<ul><li>Work with engineering teams in agile/scrum setup</li><li>Participate in sprint planning, backlog grooming, and release planning</li><li>Ensure timely delivery with high quality and performance standards</li></ul>Data-Driven Decision Making<ul><li>Define success metrics and KPIs for product features</li><li>Analyze usage patterns and system performance to guide improvements</li></ul>RequirementsRequired Skills:<ul><li>Strong understanding of:</li><li>Data Platform (Ingestion, Processing, Quality, Business object and Reporting)</li><li>Elasticsearch</li><li>MongoDB</li><li>MERN stack</li><li>Experience with REST APIs, microservices architecture</li></ul>Product Management Skills<ul><li>6&ndash;8 years of experience in Product Management / Technical Product roles</li><li>Proven ability to build Product roadmap, PRD's and enable engineering team with clear User stories.</li><li>Strong analytical and problem-solving skills</li><li>Stakeholder management, executive communication and collaboration.</li><li>Experience working with engineering teams in agile environments</li></ul>Domain Knowledge (Preferred)<ul><li>Observability / Monitoring tools (e.g., logs, metrics, tracing systems)</li><li>Experience with tools like ELK stack, Datadog, Grafana, or similar platforms</li></ul>What We're Looking For<ul><li>A hands-on PM-T who can go deep into technical details when required</li><li>Someone who can think like an engineer and communicate like a product leader</li><li>Ability to convert ambiguity into structured execution plans</li><li>Strong ownership mindset with attention to detail</li></ul>Good to Have<ul><li>Experience in data engineering or backend development</li><li>Exposure to cloud platforms (Azure/AWS/GCP)</li><li>Experience in building or managing observability platforms</li></ul>Why This Role is Exciting<ul><li>Opportunity to build a next-gen observability platform with AI at its core</li><li>Shape the transition from traditional monitoring tools to autonomous systems</li><li>Work on cutting-edge problems involving data, scale, and intelligence</li></ul>Pay: From $60.00 per hourApplication Question(s):<ul><li>How many PRDs have you personally written and owned end-to-end (not reviewed or co-authored)?</li><li>Name the data pipeline orchestration tool you have used most recently in a product you owned?</li><li>What is your expected annual compensation (base salary)?</li><li>Have you used Elasticsearch &amp; MongoDB in a product you owned or built? (Yes / No)</li><li>Are you legally authorized to work in the United States on a full-time, permanent basis without current or future sponsorship?</li><li>Name the observability or monitoring tool you have worked with as a PM (e.g. Datadog, Grafana, ELK, Splunk, New Relic).</li><li>Which cloud platform(s) have you shipped a product on? (AWS / Azure / GCP / None)</li><li>Have you shipped a product feature powered by an AI or ML model? (Yes / No)</li><li>How many AI-powered features have you taken from requirements to production?</li><li>Have you ever defined accuracy benchmarks or evaluation metrics for a live AI model? (Yes / No)</li><li>On average, how many user stories do you write per sprint?</li><li>What is the largest engineering team (number of engineers) you have directly supported as PM?</li><li>Have you ever managed a product roadmap with a 12-month or longer horizon? (Yes / No)</li><li>How many products have you built on the MERN stack (MongoDB, Express, React, Node.js)?</li></ul>Experience:<ul><li>Product Management: 6 years (Required)</li></ul>Work Location: Hybrid remote in Plano, TX 75024

ServiceNow

<div>Company Description 
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone&mdash;freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow&mdash; helping 85% of the Fortune 500&reg; work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.
Join us to put AI to work for people. 
Job Description 
The Role
The AI Control Tower is ServiceNow's central hub for governing every AI model, agent, and dataset across the enterprise. We're building the infrastructure that enterprises will depend on as agentic AI moves from experiment to production &mdash; and we need a Director of Engineering who has been in that position before: shipping a 1.0 product, fighting for its first users, and figuring out how to turn early traction into durable adoption.
This isn't a role for someone who has managed mature systems. It's for someone who has built something from scratch &mdash; in a small, fast company where there was no playbook &mdash; and who is now ready to do it at the scale and ambition of ServiceNow. Reporting to the VP of Engineering, AICT, you will lead one or more product areas within the AICT platform, with scope and ownership evolving as the product and team grow.
You are AI-native. You don't just understand AI conceptually &mdash; you use it daily, you build with it, and you bring that instinct into how your team designs and ships. 
What You Will Do
Product Delivery &amp; Roadmap Execution Own the engineering roadmap for your AICT product areas &mdash; translating product requirements into technical plans, managing delivery across a focused engineering team, and maintaining the velocity needed to meet the demands of a fast-moving market. You have done this before and know the difference between motion and progress.
1.0 to Adoption Drive the full arc from early release to meaningful customer adoption. You understand that shipping a 1.0 is only half the job &mdash; the other half is learning fast, iterating based on what real customers do (not what they say), and building the feedback loops that compound adoption over time.
AI-Native Engineering Set the standard for how your team uses AI in its own development practice &mdash; from AI-assisted code review and testing to designing platform features that assume AI agents are first-class users. You lead by example: your team should see you using AI tools as fluently as you use a terminal.
Team Building Recruit, develop, and retain a high-performing engineering team. You are a strong technical voice who can also grow engineers &mdash; you give clear feedback, create stretch opportunities, and build the kind of team culture that makes people want to stay and do their best work.
Cross-Functional Execution Work closely with Product Management, Design, and partner engineering teams to align dependencies and ship coherent experiences. Represent engineering in planning and review forums with senior leadership. 
Qualifications 
Required<ul><li>
10+ years in software engineering with 4+ years leading engineering teams (as a manager of managers or strong senior manager)</li><li>
Demonstrable startup experience at a company with fewer than 100 employees, where you were hands-on building and shipping a product &mdash; not just working at a startup, but building one</li><li>
Proven experience driving adoption of a 1.0 or early-stage product: you have the scars from a launch that didn't go perfectly and the wins from figuring out how to turn it around</li><li>
Deep technical foundation in cloud-native SaaS, including multi-tenant architectures, large-scale API design (REST/gRPC), Kubernetes orchestration, multi-cloud platforms (AWS, Azure, GCP), Infrastructure as Code (Terraform, CloudFormation, Helm)</li><li>
Strong understanding of database schema design, data modeling, and modern data platforms, including relational, graph, vector, columnar, OLAP, and streaming data architectures, with the ability to design scalable data models for AI and enterprise workloads.</li><li>
database schema design, , data modeling, and event-driven architectures.</li><li>
AI-Native Engineering: Lead the adoption of AI across the entire engineering lifecycle&mdash;from product strategy, PRDs, UX, architecture, implementation, code reviews, debugging, testing, security, CI/CD, deployment, observability, APM, operations, and documentation&mdash;to improve engineering productivity, software quality, reliability, customer experience, and delivery velocity.</li><li>
Ability to operate at both the architectural level and the pull request level when it matters</li><li>
Track record of building and retaining engineering teams, including in competitive talent markets</li></ul>
Preferred<ul><li>
Experience building governance, observability, or compliance products &mdash; you understand why enterprises care about auditability and have designed for it</li><li>
Familiarity with agentic frameworks and the operational realities of running agents in production (tool reliability, context management, failure modes)</li><li>
Background in enterprise security, IAM, or data governance</li><li>
Familiarity with MCP, OpenAPI, or other AI interoperability standards</li><li>
MS or PhD in Computer Science, AI, or a related technical field</li></ul>
For positions in this location, we offer a base pay of $221,200 - $387,100, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. 
Additional Information 
Work Personas
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. &copy;2026 Fortune Media IP Limited. All rights reserved. Used under license.</div>

Director of Engineering - AI Control Tower

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