Get the chrome extension Technical Product Manager, Legal AI and Platforms
ServiceNow
ServiceNow's legal team runs on ServiceNow. NDAs, procurement contracts, conflict checks, and requests for legal advice all move through our own platform.
You'll own a portfolio of AI and platform initiatives for our legal technology team within the Global Business Services Experience team. The goal: give attorneys and legal professionals their time back. Fewer routine requests land on their desks. The ones that do get answered faster. And legal data is structured so AI agents can do useful work with it.
You won't hand requirements to engineering and move on. You'll prototype with AI, prove what works, and partner with our Product organization to turn the best of what we build into features our customers use. This is where we put AI to work for people, starting with our own.
What you get to do in this role:
Own the roadmap
- Own a multi-quarter roadmap for legal AI and platform initiatives across Contract Management Pro, Legal Service Delivery, and connected systems
- Plan each quarter in epics, then deliver through iterative development, testing, and production release
- Write epics, user stories, technical spikes, acceptance criteria, and solution approach documents that engineers can build from
- Prioritize a busy backlog with clear tradeoffs, and say no when it matters
- Lead discovery with legal and business teams, identify opportunities to improve workflows, and translate them into prioritized product requirements and measurable outcomes
Build AI agents legal teams trust
- Design and deliver AI agents for legal work, such as advice and counsel recommendations, contract redlining against our standard terms, request intake and triage, and contract review
- Decide how agents retrieve knowledge, when people review their output, and how feedback improves them over time
- Use out-of-the-box and Now Assist capabilities first, and build custom only when the platform can't do the job
- Build quick prototypes to test AI performance and get stakeholder agreement before committing to a full build
- Make sure anything headed to production gets engineering review and hardening
- Prove it works
- Define evaluation criteria, test sets, and pass thresholds before any AI feature reaches production
- Run model and vendor evaluations without locking into a single model or provider
- Build and own value models (hours saved, request volume, cycle time) and report AI impact to senior leadership monthly and quarterly
- Establish baselines and measure adoption, cycle time, quality, and realized productivity improvements after launch
Partner across ServiceNow
- Partner with our Product organization to co-develop and validate enhancements for potential inclusion in customer-facing platform releases
- Bring feedback from our own legal team into product roadmaps
- Align Legal, Procurement, Compliance, Product, Engineering, and Digital Technology stakeholders on shared priorities
- Work alongside business process managers and engineers in a shared delivery model
To be successful in this role you have:
- 5+ years in technical product management, including ownership of a multi-quarter roadmap
- Experience with enterprise workflow platforms
- Experience shipping generative or agentic AI features, including LLM behavior, retrieval, and prompt design
- Experience defining evaluation methods for AI applications, including output quality, groundedness, task completion, and appropriate human review
- Experience on agile teams writing epics and user stories that engineers build from
- Clear executive communication: you can sum up portfolio status, value, and risk in a few slides
- Strong stakeholder management across legal, business, and technical teams
Preferred
- Experience with ServiceNow Contract Management Pro or Legal Service Delivery
- Experience with legal, contract, or procurement workflows
- Hands-on experience with Now Assist or ServiceNow AI Agents
- Experience with other contract lifecycle management or legal AI platforms
- Experience co-developing with a product organization or serving as a design partner for a software product
- Experience with AI-native or prototype-first development
FD21
For positions in this location, we offer a base pay of $131,600 - $230,300, 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.
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 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. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.
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—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— helping 85% of the Fortune 500® 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.
Originally posted on Himalayas
Technical Product Manager (AI) - Veeva QualityDocs & Training
Lifelancer
Job Title: Technical Product Manager (AI) - Veeva QualityDocs & Training
Job Location: Boston, MA, US
Job Location Type: Remote
Job Contract Type: Full-time
Job Seniority Level:
The Role
What You'll Do
- Hands-on design and development of AI product features for Veeva QualityDocs and Training
- Design and deliver production AI Agent applications including data flow, orchestration, and prompts
- Work with engineering and UX to automate key business processes using AI
- Assist with AI Agent evaluations
- Present feature capabilities and value to internal and external stakeholders
Requirements
- 5+ years of enterprise SaaS product management, engineering, or technical consulting experience, with at least 2+ years focused on AI/ML applications
- Experience with data flow design, algorithm selection, and model integration
- Coding skills in Python and hands-on experience with AI Frameworks and APIs
- Strong understanding of AI/ML concepts, LLMs, and prompt engineering
- Strong collaboration skills for working with engineering, UX design, and application product management teams
- Excellent communication skills to work with non-technical stakeholders
- Ability to work independently in a fast-paced environment with little direct supervision
- Must be based in or within one hour of the Eastern Time zone
- Must be able to travel 20%
Nice to Have
- Experience in a data scientist, machine learning, or data engineering role
- Experience in Life Sciences
- Experience building products on application development platforms
- Experience building software for regulated industries
- Experience interacting with customers and internal teams remotely and across geographies
Interviewing with Veeva
We value your time and believe in a transparent hiring process. Here is the process you can expect.
- Follow the application process and submit your resume.
- Within 3 days, you will receive a link to a personality assessment administered by a third party.
- Once you complete the assessment, our team will review your full application package and follow up via email with our decision.
- If moving to the interview stage, the process is as follows:
- A conversation with the hiring manager
- A practical case exercise
- A final conversation with our group's Senior Leader.
- Once all interviews are complete, the manager will be in touch with a final decision.
Perks & Benefits
- Medical, dental, vision, and basic life insurance
- Flexible PTO and company paid holidays
- Retirement programs
- 1% charitable giving program
Compensation
- Base pay: $75,000 - $165,000
- The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus.
This job is curated by Lifelancer.
Lifelancer is a talent-hiring platform in Life Sciences, Pharma and IT. The platform connects talent with opportunities in pharma, biotech, health sciences, healthtech and IT domains.
Please apply via Lifelancer platform to get connected to the application page and to find similar roles.
Originally posted on Himalayas
Technical Product Manager - Veeva Labeling AI
Lifelancer
Job Title: Technical Product Manager - Veeva Labeling AI
Job Location: Boston, MA
Job Location Type: Remote
Job Contract Type: Full time
Job Seniority Level:
The Role
What You’ll Do
- Hands-on design and development of prototypes of AI product features for Veeva Labeling.
- Design and deliver production AI Agent applications including data flow, orchestration, and prompts.
- Work with engineering and UX to automate key business processes using AI.
- Assist with AI Agent evaluations
- Present feature capabilities and value to internal and external stakeholders.
Requirements
- 5+ years of enterprise SaaS product management, engineering, or technical consulting experience, with at least 2 years focused on AI/ML applications.
- Experience with data flow design, algorithm selection, and model integration.
- Coding skills in Python and hands-on experience with AI Frameworks and APIs.
- Strong understanding of AI/ML concepts, LLMs, and prompt engineering.
- Strong collaboration skills for working with engineering, UX design, and application product management teams.
- Excellent communication skills to work with non-technical stakeholders.
- Ability to work independently in a fast-paced environment with little direct supervision.
- Must be based in or within one hour of the Eastern Time zone.
- Must be able to travel 20%
Nice to Have
- Experience in a data scientist, machine learning, or data engineering role.
- Experience in Life Sciences.
- Experience building products on application development platforms.
- Experience building software for regulated industries.
- Experience interacting with customers and internal teams remotely and across geographies.
Interviewing with Veeva
- Follow the application process and submit your resume.
- Within 3 days, you will receive a link to a personality assessment administered by a third party.
- Once you complete the assessment, our team will review your full application package and follow up via email with our decision.
- If moving to the interview stage, the process is as follows:
- A conversation with the hiring manager
- A practical case exercise
- A final conversation with our group's Senior Leader.
- Once all interviews are complete, the manager will be in touch with a final decision.
Perks & Benefits
- Medical, dental, vision, and basic life insurance
- Flexible PTO and company paid holidays
- Retirement programs
- 1% charitable giving program
Compensation
- Base pay: $75,000 - $165,000
- The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus.
This job is curated by Lifelancer.
Lifelancer is a talent-hiring platform in Life Sciences, Pharma and IT. The platform connects talent with opportunities in pharma, biotech, health sciences, healthtech and IT domains.
Please apply via Lifelancer platform to get connected to the application page and to find similar roles.
Originally posted on Himalayas
Technical Product Manager, Creative Engine
Third
Technical Product Manager, Creative Engine
Aboutthird
Third is a modern-commerce growth company helping brands turn new and emerging platforms into real sales channels.
Our integrated acquisition strategy connects best-in-class teams across TikTok, Whatnot, Meta, Snap, and beyond - eliminating the need to stitch together multiple partners.
Third blends deep niche expertise with modern execution to launch, operate, and scale commerce on new platforms, transforming culture, creators, and content into real product sales.
The Role
We're looking for a Technical Product Manager to lead the development of Third's Creative Engine, an AI-powered platform that connects creative strategy, performance data, and technology to drive smarter decisions.
You'll own the product roadmap, translate business needs into scalable solutions, and partner closely with creative, performance, and engineering teams to build tools that transform how we develop and optimize content. This is a hands-on opportunity to shape a foundational product within a growing organization.
What You'll Do
Product Strategy & Roadmap
- Own the product vision, strategy, and roadmap for Third's Creative Engine, aligning priorities with business goals and user needs.
- Translate creative and business challenges into clear product requirements, technical specifications, and development priorities.
- Lead product initiatives from discovery through launch, gathering feedback and continuously improving the platform.
Data & AI Product Development
- Partner with engineering to define data models, integrations, and infrastructure connecting performance creative, TikTok Shop, TikTok LIVE, Meta, and creator data.
- Shape AI-powered capabilities that analyze creative performance, identify trends, and deliver actionable insights.
- Guide the development of dashboards, search tools, and integrations that make creative intelligence accessible to internal teams and eventually clients.
Creative Intelligence & Optimization
- Collaborate with creative strategists to identify the insights that matter most and translate them into measurable, actionable outputs.
- Develop structured testing frameworks to evaluate creative formats, hooks, messaging, and performance drivers.
- Turn successful creative patterns into reusable content briefs, creative frameworks, and UGC templates.
Cross-Functional Collaboration
- Serve as the primary connection between creative, performance, talent, and engineering teams.
- Identify opportunities to streamline creative production workflows through automation and scalable product solutions.
What We're Looking For
- 4+ years of experience in product management, technical product management, or a related role bridging creative strategy and technology.
- Strong understanding of performance creative, user-generated content (UGC), and digital advertising.
- Experience translating complex business needs into product requirements, roadmaps, and technical solutions.
- Ability to collaborate with engineers on data architecture, schemas, APIs, and integrations.
- Experience with structured creative testing, experimentation, and data-driven decision-making.
- Familiarity with AI/LLM tools, AI-assisted development workflows, and emerging technologies.
- Strong analytical, communication, and problem-solving skills, with the ability to operate independently.
Nice to Have: Experience in ad tech, creator economy, or performance marketing; SQL proficiency; experience launching AI-powered products; familiarity with TikTok and Meta APIs.
Who You Are
- You're a strategic thinker who enjoys connecting creativity, data, and technology.
- You thrive in fast-paced environments where you can take ownership and turn ideas into action.
- You're naturally curious, collaborative, and excited about the potential of AI to transform creative strategy.
- You're comfortable navigating ambiguity and building processes and products from the ground up.
Why This Role Matters
Third is building a smarter, more connected approach to performance creative. The Creative Engine will turn fragmented data into actionable intelligence, helping our teams understand what works and why. You'll play a key role in shaping the product that makes it possible.
Location
United States, Remote
Compensation
- Competitive salary + Performance bonus eligible
- Comprehensive health, dental, and vision coverage
- Flexible PTO
- Remote-first work environment with periodic team gatherings
- Access to an industry-leading network across social commerce, creator, and brand marketing
Third is an equal opportunity employer. We are committed to building a diverse team and an inclusive environment where all employees feel valued and empowered
Originally posted on Himalayas
Lead Technology Product Manager, AI Quality & Evaluation
Wolters Kluwer
Build the product capabilities that help ensure AI-enabled healthcare experiences are useful, trusted, and responsibly deployed.
At Wolters Kluwer Health, the UpToDate suite supports millions of clinical decisions every day. As AI becomes part of healthcare workflows, quality cannot be treated as a one-time launch checkpoint. AI experiences need to be evaluated,monitored, and improved continuously so clinicians and care teams can trust the information and interactions they rely on.
As Senior Product Manager, AI Quality & Evaluation, you will play a core role in translating clinical quality standards and evaluationstrategyinto scalable product capabilities. Working under product leadership and in close partnership with clinical, technical, and data experts, you will help define the requirements, workflows, tooling, automation, and reporting needed to evaluate AI-enabled experiences before and after launch.
This role does not own the clinical quality standard or statisticalmethodology. It helps make those standards operational at scale through usable tools, repeatable workflows, measurable signals, andclear evidencethat supports product decisions, customer trust, and responsible AI.
What You'll Do
Translate expert-defined quality standards and evaluation methods into product requirements, workflows, and roadmap priorities.
Drive discovery and delivery for defined AI quality and evaluation capabilities, including tooling, automation, monitoring, evidence capture, and reporting.
Partner with clinical, data science, engineering, product, legal, compliance, and customer-facing teams to operationalize AI evaluation before and after launch.
Identifyopportunities to automate and scale evaluation workflows while preservingappropriate expertoversight.
Define product requirements for review workflows,issuetriage, launch readiness, post-launch monitoring, and quality reporting.
Use evaluation insights to inform product improvements, user experience, content quality, model behavior, and operational processes.
Track emerging market practices and customer expectations related to AI quality, evaluation, benchmarking, and responsible AI.
Translate AI quality and evaluation practices into clear narratives for product leaders, customer-facing teams, and internal stakeholders.
What You'll Bring
5+ years of product management experience in healthcare, enterprise SaaS, data-driven products, platform products, quality, or related areas.
Strong product discovery and execution skills, includingrequirementsdefinition, roadmap planning, experimentation, and metrics-driven decision-making.
Ability to translate complex clinical, technical, quality, or risk concepts into practical product requirements and workflows.
Experience working with engineering, data, clinical, compliance, customer-facing, or operational stakeholders.
Strong analytical thinking and comfort defining metrics, dashboards, workflows, and decision criteria.
Strong communicationskills, especially around quality, trust, tradeoffs, evidence, and customer value.
Curiosity and learning agility around AI, evaluation methods, responsible AI, and emerging technologies.
Preferred Background
Experience with AI-enabled products, healthcare technology, quality tooling, data products, search/retrieval quality, content quality, clinical validation, or decision-support products.
Familiarity with AI evaluation methods, benchmarks, monitoring, human-in-the-loop review, automation, or applied machine learning concepts.
Experience in healthcare, clinical workflows, regulated environments, or professional-information products.
Experience supporting customer-facing narratives around product quality, trust, or responsible technology.
What Success Looks Like
Expert-defined quality standards are translated into scalable product workflows, tools, and requirements.
Evaluation processes become more automated, repeatable, measurable, and usable by cross-functional teams.
Product teams have clearer quality signals and launch-readiness criteria for AI-enabled experiences.
Evaluation insights improve product quality, customer trust, user experience, and responsible AI practices.
Customer-facing teams can clearly explain how AI quality and trust are evaluated.
Our Interview Practices
To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.
Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.
Compensation:
$107,500.00 - $188,400.00 USDThis role is eligible for Bonus.Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.
Additional Information:
Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.
Originally posted on Himalayas
Technical Product Manager, Legal AI and Platforms
ServiceNow
ServiceNow's legal team runs on ServiceNow. NDAs, procurement contracts, conflict checks, and requests for legal advice all move through our own platform.
You'll own a portfolio of AI and platform initiatives for our legal technology team within the Global Business Services Experience team. The goal: give attorneys and legal professionals their time back. Fewer routine requests land on their desks. The ones that do get answered faster. And legal data is structured so AI agents can do useful work with it.
You won't hand requirements to engineering and move on. You'll prototype with AI, prove what works, and partner with our Product organization to turn the best of what we build into features our customers use. This is where we put AI to work for people, starting with our own.
What you get to do in this role:
Own the roadmap
- Own a multi-quarter roadmap for legal AI and platform initiatives across Contract Management Pro, Legal Service Delivery, and connected systems
- Plan each quarter in epics, then deliver through iterative development, testing, and production release
- Write epics, user stories, technical spikes, acceptance criteria, and solution approach documents that engineers can build from
- Prioritize a busy backlog with clear tradeoffs, and say no when it matters
- Lead discovery with legal and business teams, identify opportunities to improve workflows, and translate them into prioritized product requirements and measurable outcomes
Build AI agents legal teams trust
- Design and deliver AI agents for legal work, such as advice and counsel recommendations, contract redlining against our standard terms, request intake and triage, and contract review
- Decide how agents retrieve knowledge, when people review their output, and how feedback improves them over time
- Use out-of-the-box and Now Assist capabilities first, and build custom only when the platform can't do the job
- Build quick prototypes to test AI performance and get stakeholder agreement before committing to a full build
- Make sure anything headed to production gets engineering review and hardening
- Prove it works
- Define evaluation criteria, test sets, and pass thresholds before any AI feature reaches production
- Run model and vendor evaluations without locking into a single model or provider
- Build and own value models (hours saved, request volume, cycle time) and report AI impact to senior leadership monthly and quarterly
- Establish baselines and measure adoption, cycle time, quality, and realized productivity improvements after launch
Partner across ServiceNow
- Partner with our Product organization to co-develop and validate enhancements for potential inclusion in customer-facing platform releases
- Bring feedback from our own legal team into product roadmaps
- Align Legal, Procurement, Compliance, Product, Engineering, and Digital Technology stakeholders on shared priorities
- Work alongside business process managers and engineers in a shared delivery model
To be successful in this role you have:
- 5+ years in technical product management, including ownership of a multi-quarter roadmap
- Experience with enterprise workflow platforms
- Experience shipping generative or agentic AI features, including LLM behavior, retrieval, and prompt design
- Experience defining evaluation methods for AI applications, including output quality, groundedness, task completion, and appropriate human review
- Experience on agile teams writing epics and user stories that engineers build from
- Clear executive communication: you can sum up portfolio status, value, and risk in a few slides
- Strong stakeholder management across legal, business, and technical teams
Preferred
- Experience with ServiceNow Contract Management Pro or Legal Service Delivery
- Experience with legal, contract, or procurement workflows
- Hands-on experience with Now Assist or ServiceNow AI Agents
- Experience with other contract lifecycle management or legal AI platforms
- Experience co-developing with a product organization or serving as a design partner for a software product
- Experience with AI-native or prototype-first development
FD21
For positions in this location, we offer a base pay of $131,600 - $230,300, 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.
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 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. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.
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—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— helping 85% of the Fortune 500® 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.
Originally posted on Himalayas
Senior Staff Technical Product Manager, Conversational AI
ServiceNow
We're looking for a Senior Staff Technical Product Manager to own strategy & execution across AI powered product experiences within a fast-moving, AI-driven organization. This role goes beyond delivering against a roadmap — you'll help define the roadmap itself, using data-driven prioritization and strong product sense to decide what matters most. You'll operate across a wider cross-functional surface area, requiring sharper stakeholder management, influencing, and negotiation skills to align multiple teams and senior partners around a shared direction.
This role is for someone with proven, hands-on execution experience at scale — not theoretical AI knowledge. We're looking for concrete evidence of AI products you've shipped, the technical and business tradeoffs you navigated, and the cross-functional outcomes you drove, not conceptual familiarity with AI.
What You'll Own
- Strategy and execution for a broad product area to accelerate agent productivity, including defining the roadmap and prioritization framework, not just executing against one.
- Data-driven decision-making at scale: using product analytics, experimentation, and usage data to make prioritization calls with meaningful business impact.
- High-quality strategy and requirements documents that senior stakeholders and engineering leadership rely on to align and execute.
- Cross-functional leadership: aligning multiple teams, engineering, data science, and senior stakeholders around shared priorities, often without direct authority.
- Mentorship of more junior product managers, raising the execution and technical bar across the team.
Why This Role Matters
- Broader scope and higher-leverage ownership over how a significant piece of the AI portfolio evolves.
- Direct influence on strategy and prioritization decisions with visible impact on business outcomes.
- A seat at the table with senior engineering, data science, and product leadership shaping the direction of a fast-scaling AI organization.
What Success Looks Like
- A roadmap and prioritization framework that is data-backed, well-understood by stakeholders, and consistently delivered against.
- Strategy and requirements documents that require minimal rework and are trusted by senior technical and business stakeholders.
- Demonstrated ability to align and influence senior cross-functional partners without direct authority, resolving competing priorities effectively.
- Evidence of raising the bar for more junior PMs through mentorship and modeling strong execution.
To be successful in this role you have:
- Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
- 12+ years of product management experience, with recent, hands-on experience shipping AI or data-powered products at meaningful scale — not just conceptual AI knowledge.
- Strong data sense and demonstrated ability to drive prioritization decisions using product analytics and experimentation, with measurable business impact.
- Proven ability to write clear, senior-level strategy, requirements, and prioritization documents that stakeholders rely on.
- Strong stakeholder management, influencing, and negotiation skills across senior, cross-functional, and sometimes competing priorities.
- Excellent verbal and written communication skills, with a track record of aligning diverse technical and business audiences.
- A track record of proven execution — specific, verifiable examples of AI products shipped, tradeoffs navigated, and outcomes delivered.
- Strong technical fluency; comfortable engaging deeply with engineering on architecture and feasibility tradeoffs.
- Experience mentoring or informally guiding more junior product managers is a plus.
FD21
For positions in this location, we offer a base pay of $171,900 - $300,800, 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.
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 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. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.
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—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— helping 85% of the Fortune 500® 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.
Originally posted on Himalayas
Technical Product Manager - Core Banking
Nymbus
ABOUT NYMBUS:
Nymbus is a high-growth fintech company, empowering banks and financial institutions to transform faster, compete smarter, and deliver greater value in today’s digital marketplace. At Nymbus, we’re revolutionizing banking technology. Our award-winning modern core platform and cloud-based solutions help financial institutions modernize, scale, and succeed. As part of our team, you won’t just be part of a tech revolution; you’ll be at the forefront of it, driving innovation and delivering exceptional client experiences.
Nymbus is building the next generation of fintech platforms, and that takes people who are ready to challenge convention, move with purpose, and reimagine what’s possible. We operate with an AI-first mindset across our business, continuously improving how we work, and the value we deliver to our clients.
We want our partners to be thrilled about the possibilities we are creating together and the lasting impact our collaboration will bring to the industry and consumers. The journey to growth begins with doing something different. And that journey starts with the great people who make Nymbus.
We challenge the status quo, question assumptions, and work together to turn bold ideas into meaningful progress.
THE OPPORTUNITY:
At Nymbus, the AI Technical Product Manager, Core is the primary builder in our squad triad model.
You are responsible for transforming product vision into reality. Working within a dedicated squad alongside an Architect (who owns system design and technical integrity) and a Shipper (who owns delivery, quality, and release), you own the build, from specification through implementation. You operate with an AI-first, spec-first mindset, leveraging tools like Kiro and Claude to accelerate every phase of product creation.
This is not a traditional product owner or product management role. You bring your own experience, research, and creativity to design products end-to-end, authoring specifications, shaping system behavior, and iterating rapidly using AI-assisted workflows. You own the "what" and the "how," translating domain problems into working, shippable software.
THE SQUAD TRIAD MODEL:
You operate as one-third of a high-autonomy squad:
- Technical Product Manager / Builder (This Role): Owns product intent, specification, and implementation. You are the primary creator — designing system behavior, authoring specs, and iterating with AI tools to produce working software. Deep domain knowledge is a plus; the ability to acquire it quickly is a must.
- Architect (Your Partner): Owns system design, technical integrity, and cross-squad consistency. The Architect ensures your solutions are scalable, maintainable, and aligned with platform architecture. You collaborate daily on data models, API contracts, and integration patterns.
- Shipper (Your Partner): Owns delivery, quality assurance, release management, and operational readiness. The Shipper ensures what you build meets quality standards, passes validation, and reaches production reliably. You collaborate on acceptance criteria, test coverage, and deployment strategy.
Together, the triad owns outcomes end-to-end — from problem definition through production operation.
WHAT YOU WILL OWN:
Product Design and Specification
- Use AI tools (Kiro, Claude) to rapidly iterate on designs, edge cases, and alternative approaches
- Own end-to-end product design from problem definition through system behavior and user experience
- Author clear, testable, implementation-ready specifications using AI-assisted workflows
- Define APIs, data models, and interaction patterns in partnership with the squad Architect
- Translate business requirements and domain knowledge into buildable system specifications
AI-First Building and Implementation
- Build working software using AI-assisted development workflows as the primary creation method
- Generate, refine, and implement product and technical specifications using spec-driven development
- Prototype and validate solutions rapidly before committing to full implementation
- Push through ambiguity — when requirements are unclear, explore, propose, and build to learn
- Leverage AI tools as co-developers, not just assistants, to multiply output and quality
Squad Collaboration
- Partner daily with the Architect on API design, data modeling, and system architecture decisions
- Coordinate with the Shipper on acceptance criteria, testability, and release readiness
- Participate directly in technical design discussions and tradeoff decisions with the full triad
- Surface blockers, risks, and dependencies to the squad early and proactively
- Maintain shared context with squad partners through specifications, documentation, and working demos
WHAT YOU WILL BRING:
Product & Fintech Experience:
- 5 plus years in product and/or engineering roles within fintech, banking, or financial services
- Experience working with core banking platforms
- Strong understanding of complex, regulated environments and financial workflows
- Proven ability to translate customer and market feedback into measurable outcomes, including direct input from banks, credit unions, and their customers alongside market and competitive signals to iteratively refine features, driving improvements in customer experience, adoption, and institutional growth
- Ability to connect business goals to technical capabilities and constraints, quickly distinguishing high-impact investments from low-value efforts to keep the work focused on what actually moves the business forward
- Proven ability to design and build systems and workflows, not just define requirements
- Track record of shipping working software, not just producing documentation
Technical Fluency:
- Strong hands-on development capability across front-end and/or back-end technologies
- Ability to own implementation end-to-end within a product domain
- Comfort working across the stack as needed to deliver complete features
- Plus - Understanding of REST APIs, data modeling, and system interactions
- Plus - Familiarity with, Prisma, Redis, Kafka/SQS, AWS deployment
AI-First Mindset:
- Active, hands-on experience with AI-assisted development workflows
- Demonstrated use of AI tools for specification, code generation, and iteration
- Willingness to experiment with tools and continuously improve AI-augmented building practices
- Comfort operating in a spec-first, AI-first development methodology
Ways of working:
- High Agency: Takes ownership of outcomes and drives work forward without waiting for permission or heavy process. Identifies what should be built and builds it.
- Problem Solver: Thrives in ambiguity. Frames problems clearly, explores solution spaces, and converges on practical approaches quickly.
- Builder Mindset: Measures success by what ships. Prefers building and iterating over planning and discussing. Gets energy from creating working software.
- Experimenter: Tests ideas quickly using AI tools and iterates based on results. Explores multiple approaches before committing.
- Quality Driven: Focuses on correctness, clarity, and long-term maintainability. Treats specifications and code as durable assets.
- Scale Oriented: Designs with performance, extensibility, and operational realities in mind from the start.
- Ownership: Takes pride in end-to-end delivery. Does not hand off and walk away — stays accountable through production. Manages other duties as assigned.
THIS ROLE ISN'T FOR:
- Backlog administrators who manage tickets but do not build
- Requirements writers who stay removed from how solutions get implemented
- Developers who wait for fully specified work before starting
- Individuals uncomfortable with ambiguity, cross-functional ownership, or AI-first workflows
- Narrowly-scoped specialists who prefer staying in a single function
HOW WE WORK:
Nymbus is a remote-first company. Success in our remote environment requires self-motivation, initiative, and strong personal accountability. Team members are expected to manage their priorities independently, communicate proactively, remain responsive, and participate on camera during virtual meetings.
A strong remote culture requires intentional effort from everyone. We expect team members to engage in our global community, proactively build relationships, participate actively in team and company conversations, seek opportunities to collaborate, and take shared ownership of creating a connected and inclusive remote community including showing up on camera.
COMPENSATION AND BENEFITS:
- Base Salary Range: $125,000 - $140,000 annually
- Annual cash bonus and equity eligibility
- Remote work environment
- Health, dental, and vision insurance, including HSA/FSA/DCA
- 401(k) plan
- Flexible time-off and company holidays
- Additional paid volunteer day
- Supplemental Insurance Programs, including voluntary Life, Accident, Critical Illness, Pet Insurance
- Employee Assistance Programs [EAP]
- Wellness programs
- Growth and development programs
Actual compensation will be determined based on relevant experience, skills, role scope, and location.
OUR HIRING COMMITMENTS
As an AI-first company, we embrace the power of AI tools throughout our hiring process. Nymbus remains committed to finding the right match for our teams and candidates alike. While we are excited about the AI tools available to us today, including AI-enabled video interview tools, we remain equally committed to maintaining human involvement and oversight throughout the hiring process.
Nymbus is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
Nymbus is committed to providing reasonable accommodations for qualified individuals with disabilities throughout the application and interview process, including accommodations related to our use of AI tools. If you require an accommodation, please notify your recruiter.
Applicants must be legally authorized to work in the country in which the position is based. This role is currently based in the United States. Not all locations are available for consideration, and locations will be evaluated on a case-by-case basis.
In compliance with applicable pay transparency laws, this posting includes the anticipated base salary range, a general description of available benefits, and the application deadline where required. Actual compensation will be determined based on the candidate’s relevant experience, skills, and location.
By submitting this application, (i) you represent and warrant that you are not subject to or (ii) will disclose any non-compete agreement, restrictive covenant, or confidentiality obligation with a current or former employer that would restrict or prohibit you from performing the duties of the role for which you are applying.
Ready to join? We invite you to watch this video and learn who we are and how we build and innovates together!
Let’s Go!
Originally posted on Himalayas
Technical Product Manager - AI Solutions
Veeva Systems
The Role
What You’ll Do
- Hands-on design and development of prototypes of AI solutions for a specific application domain such as Submissions, Clinical, or Drug Safety working with application PMs and customers.
- Design and deliver production AI Agent applications including data flow, orchestration, and prompts.
- Work with engineering and UX to automate key business processes using AI.
- Present solution capabilities and value to internal and external stakeholders.
Requirements
- 5+ years of enterprise software product management, engineering, or consulting experience, with at least 2 years focused on AI/ML applications.
- Experience with data flow design, algorithm selection, and model integration.
- Coding skills in Python and hands-on experience with AI Frameworks and APIs.
- Strong understanding of AI/ML concepts, LLMs, and prompt engineering.
- Strong collaboration skills for working with engineering, UX design, and application product management teams.
- Excellent communication skills to work with non-technical stakeholders.
Nice to Have
- Experience in Life Sciences
- Experience in a data scientist, machine learning, or data engineering role.
Interviewing with Veeva
- Follow the application process and submit your resume.
- Within 3 days, you will receive a link to a personality assessment administered by a third party.
- Once you complete the assessment, our team will review your full application package and follow up via email with our decision.
- If moving to the interview stage, the process is as follows:
- A conversation with the hiring manager
- A practical case exercise
- A final conversation with our group's Senior Leader.
- Once all interviews are complete, the manager will be in touch with a final decision.
We value your time and believe in a transparent hiring process. Here is the process you can expect.
Perks & Benefits
- Medical, dental, vision, and basic life insurance
- Flexible PTO and company paid holidays
- Retirement programs
- 1% charitable giving program
Compensation
- Base pay: $75,000 - $165,000
- The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus.
Originally posted on Himalayas