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technical product manager

Early Warning Services

<div>At Early Warning, we&rsquo;ve powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle&reg;, Paze℠, and so much more. As a trusted name in payments, we partner with thousands of institutions to increase access to financial services and protect transactions for hundreds of millions of consumers and small businesses.
Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to allow for a more collaborative working environment.
Candidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire. This position is ineligible for employment Visa sponsorship.
Overall Purpose
The Technical Product Manager is a key role on our Data &amp; AI team charged with developing the next generation of analytical technology for Early Warning Services. This role will focus on our data capabilities to improve both R&amp;D and productionalization of predictive models. 
The Technical Product Manager collaborates closely with Analytics, MLOps, Engineering team members and other business stakeholders to translate enterprise-wide stakeholder needs into technical model, data, reporting and analytics requirements, working across technology teams to facilitate the development of internal-facing data platforms, products or capabilities. 
Essential Functions<ul><li>
Define and deliver roadmap and technical requirements for data and analytics capabilities, processes, and tools to enable prioritized use cases across the enterprise.</li><li>
Scope and prioritize activities based on business and user impact which defines product enhancements for both short-term and long-term.</li><li>
Gain a deep understanding of end-user needs and experience (internal data consumers), identify and fill product gaps and generate new ideas that grow adoption and improve user experience.</li><li>
Gather requirements for the Data Technology team on data processing and storage to facilitate a variety of model and analytics use cases such as effective analysis and reporting, data science exploration and model development, and data quality and anomaly detection.</li><li>
Set and achieve success metrics to meaningfully improve business results, focusing on what success looks like for our internal data consumers and how accessible data and insights could help them deliver enterprise value.</li><li>
Enforce data quality standards and processes and ensure that data governance policies, data lineage and metadata management are integral components of data product development.</li><li>
Support the implementation, measurement, and activation of data-driven use cases.</li><li>
Support the integration of strong data governance, risk, and security controls.</li><li>
Support the company&rsquo;s commitment to risk management and protect the integrity and confidentiality of systems and data.</li><li>
Support the integration of MLOps workflows and data pipelines that enable model deployment and monitoring.</li><li>
Participate in defining RAG and LLM-based product capabilities.</li><li>
Ensure basic compliance with model governance, including lineage, metadata, model monitoring, and bias documentation.</li><li>
Collaborate with AI and MLOps Engineers to support model deployment pipelines on AWS and on-prem technologies.</li></ul> 
Minimum Qualifications<ul><li>
Education and/or experience typically obtained through completion of a bachelor&rsquo;s degree in STEM or related field.</li><li>
5+ years' experience or related experience in product management, data management, or consulting with a proven record of high performance, preferably with experience building data and analytics products.</li><li>
3+ years' experience with direct hands-on responsibility working with data or data teams (data engineers, data scientists, software developers, data analysts, etc.), business stakeholders and end-users.</li><li>
Strong business intuition and the technical ability to understand, design, and explain complex product and data strategies to both business and technical audiences.</li><li>
Proficiency with software development methodologies such as Agile and experience working with Scrum teams and working with Agile tools such as Jira.</li><li>
Strong project and stakeholder management with the ability to work effectively with cross functional teams with diverse skill sets across all levels of the organization.</li><li>
Excellent communications skills, both oral and written.</li><li>
Hands-on experience writing, reviewing, and tuning SQL, Spark, and Python.</li><li>
Comfort with product analytics and data visualization tools (e.g., Tableau).</li><li>
Background and drug screen.</li></ul> 
Preferred Qualifications<ul><li>
Master&rsquo;s degree in STEM or related field.</li><li>
Deep understanding of foundational data and analytics concepts.</li><li>
Proven track record of managing all aspects of a successful product throughout its lifecycle, with experience in launching brand new products.</li><li>
Strong understanding of data management requirements in a regulated industry.</li><li>
Experience in financial institutions, particularly payments, identity, and fraud analytics.</li><li>
Experience working with terabyte size datasets.</li><li>
Experience with change management and moving from on-prem to cloud.</li><li>
Hands-on experience with Python or R, as a data scientist.</li><li>
Understanding of data science tools and concepts and experience directly enabling data science teams or delivering data science use cases.</li><li>
Experience with: AWS, Salesforce, SQL Server, Hive, Spark, SQL, and data architecture tools such as HDFS, Aerospike, ElasticSearch, Kafka, EKS.</li><li>
Deep understanding of best practices and unique data and analytics requirements.</li></ul>
Physical Requirements
Early Warning works together in a highly collaborative office environment. As such, working conditions consist of a normal office environment. Work is primarily sedentary and requires extensive use of a computer and involves sitting for periods of approximately four hours. Work may require occasional standing, walking, kneeling and reaching. Must be able to lift 10 pounds occasionally and/or negligible amount of force frequently. Requires visual acuity and dexterity to view, prepare, and manipulate documents and office equipment including personal computers. Requires the ability to communicate with internal and/or external customers.
Employee must be able to perform essential functions and physical requirements of position with or without reasonable accommodation.
Candidates responding to this posting must independently possess the eligibility to work in the United States at the date of hire. 
The base pay scale for this position in: 
Phoenix, AZ in USD per year is: $106,000 - $130,000. 
San Francisco, CA in USD per year is: $128,000 - $156,000. 
Additionally, candidates are eligible for a discretionary incentive plan and benefits.
This pay scale is subject to change and is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific candidate, which is always dependent on legitimate factors considered at the time of job offer. Early Warning Services takes into consideration a variety of factors when determining a competitive salary offer, including, but not limited to, the job scope, market rates and geographic location of a position, candidate&rsquo;s education, experience, training, and specialized skills or certification(s) in relation to the job requirements and compared with internal equity (peers). The business actively supports and reviews wage equity to ensure that pay decisions are not based on gender, race, national origin, or any other protected classes.
Some of the Ways We Prioritize Your Health and Happiness<ul><li> 
Healthcare Coverage &ndash; Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health &amp; dependent care expenses.</li><li>
401(k) Retirement Plan &ndash; Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility.</li><li>
Paid Time Off &ndash; Flexible Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day.</li><li>
12 weeks of Paid Parental Leave
</li><li>Maven Family Planning &ndash; provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.</li></ul> 
And SO much more! We continue to enhance our program, so be sure to check our Benefits page here for the latest. Our team can share more during the interview process!
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Early Warning Services, LLC (&ldquo;Early Warning&rdquo;) considers for employment, hires, retains and promotes qualified candidates on the basis of ability, potential, and valid qualifications without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote equal employment opportunity and affirmative action, in accordance with all applicable federal, state, and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our employees.</div>

Technical Product Manager - Data

Autodesk

<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div>Job Requisition ID #</div></div></div></div></div></div></div></div></div></div></div></div></div></div><div></div>
26WD96964
Remote- Hybrid open to any location. West Coast Preference
Position Overview
We are looking for a seasoned Technical Program Manager to lead pivotal technical initiatives driving end-to-end execution within the Growth Experience Technology (GET) Organization, with a strong focus on enabling and scaling Go-To-Market (GTM) capabilities.
This role requires a strategic operator with deep program management expertise and a proven track record delivering GTM-driven initiatives&mdash;including product launches, growth programs, customer acquisition, monetization, and lifecycle engagement. You will partner closely with Product, Engineering, Architecture, Marketing, Analytics, Design, and GTM stakeholders to drive seamless execution from concept to market impact.
You will be accountable for delivering complex technical programs end-to-end&mdash;owning planning, execution, risk and dependency management, and stakeholder alignment&mdash;ensuring outcomes directly support business growth, customer experience, and revenue objectives. Success in this role requires strong technical depth, business acumen, and the ability to influence and align teams across both GTM and technology organizations.
At Autodesk, we look to hire those who reimagine possible, those with diverse backgrounds who enhance our thinking, and leaders who shape the world and our future. The position is open to those within the Pacific to Central time zones, with preference for candidates in the Bay Area, California (hybrid/remote with in-office presence for critical meetings).
Responsibilities<ul><li>
Lead end-to-end execution of GTM-driven technical programs, including product launches, growth initiatives, and post-launch optimization</li><li>
Develop and maintain integrated program plans across multiple technical and GTM teams, ensuring visibility into status, dependencies, and outcomes</li><li>
Partner with Product, Marketing, Sales, Analytics, and Engineering to align technology delivery with GTM strategies and business goals</li><li>
Drive clarity on outcomes, deliverables, milestones, and cross-functional dependencies across GTM and platform teams</li><li>
Enable successful product launches and releases, including readiness across systems, operations, and customer experience</li><li>
Collaborate with stakeholders to simplify complex technical concepts and drive data-informed decisions impacting acquisition, conversion, and retention</li><li>
Identify risks and proactively mitigate issues that could impact launch timelines, customer experience, or revenue goals</li><li>
Lead cross-functional alignment, removing blockers and ensuring execution across globally distributed teams</li><li>
Support roadmap planning and prioritization aligned with GTM calendars, campaigns, and business priorities</li><li>
Manage day-to-day program execution, including communication, stakeholder updates, and milestone tracking</li><li>
Organize and facilitate User Acceptance Testing (UAT) and launch readiness activities to ensure high-quality releases</li><li>
Drive post-launch monitoring and continuous improvement based on performance metrics and customer feedback</li><li>
Communicate program progress and outcomes across all levels, including senior leadership, with a focus on business impact</li></ul>
Minimum Qualifications<ul><li>
Bachelor&rsquo;s degree in Engineering, Computer Science, Business, or related field</li><li>
8+ years of experience as a Technical Program Manager, Technical Product Manager, or Product Manager</li><li>
Proven experience delivering GTM-aligned programs, including product launches, growth initiatives, or customer-facing platforms</li><li>
Strong experience working across business and technical teams on complex, cross-functional initiatives in fast-paced environments using Agile methodologies</li><li>
Solid technical background with strong problem-solving and analytical skills</li><li>
Demonstrated ability to translate technical execution into business and customer impact</li><li>
Excellent communication and stakeholder management skills across technical and non-technical audiences</li><li>
Strong operational mindset with a focus on scalability and execution excellence</li><li>
Experience with tools such as Confluence, Airtable, Jira, Asana, MURAL, Lucidchart</li></ul>
Preferred Qualifications<ul><li>
Experience driving end-to-end GTM motions (launch planning, readiness, execution, and post-launch optimization)</li><li>
Familiarity with growth funnels, experimentation (A/B testing), customer journeys, and lifecycle engagement strategies</li><li>
Experience partnering with Marketing, Sales, Finance, and Legal on GTM initiatives across global teams</li><li>
Ability to create visibility across multiple programs spanning sprints, quarters, and release cycles</li><li>
Strong track record of facilitating roadmap prioritization across competing initiatives with GTM impact</li><li>
Experience in platforms supporting commerce, subscriptions, pricing, or customer acquisition and retention</li></ul><div><div><div><div><div><div><div>
Learn More</div></div></div></div></div></div></div>
About Autodesk
Welcome to Autodesk! Amazing things are created every day with our software &ndash; from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk &ndash; it&rsquo;s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you&rsquo;re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
Benefits
From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/<div><div><div><div><div><div><div>
Salary transparency</div></div></div></div></div></div></div>
Salary is one part of Autodesk&rsquo;s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $124,000 and $222,640. Offers are based on the candidate&rsquo;s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
Equal Employment Opportunity
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
Diversity &amp; Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging
Are you an existing contractor or consultant with Autodesk?
Please search for open jobs and apply internally (not on this external site).</div>

Principal Technical Program Manager

Uber

<div>About the Role
 
 
As a Product Manager on the Customer Obsession (CO) team, you will be responsible for improving the developer and user experience for Uber's AI-powered conversational support surfaces. This role bridges the gap between the underlying tech and intuitive user design. You will be responsible for the UX and the foundational platform capabilities that power these interactions. A key part of your mission will be democratizing innovation: you'll build the infrastructure and governance that allows cross-functional teams across Uber to contribute to a shared UX library, ensuring our next-generation AI assistants remain cohesive yet adaptable across different business units. You will leverage modern technologies (including AI/machine learning and conversational interfaces) and strong design partnerships to help scale high-quality support experiences across Uber.
 
 
What the Candidate Will Do
 
<ul><li>Product thinking: Contribute to the roadmap and execution of the conversational UX component library. Make tradeoff decisions with guidance, balancing user needs, technical constraints, and business impact
</li><li>Champion the customer experience: Champion the end-user by blending design thinking, user research, and data into compelling 'user impact' stories.
</li><li>Execution &amp; ownership: Build the tech and persona-agnostic UX foundations required for a best-in-class experience. Partner with UXR to get quick feedback, Design for interface crafting, and Engineering to ship the underlying platform logic.
</li><li>Drive developer adoption: Own the Developer Experience for our agentic UX library. You'll ensure frictionless discovery, previewing, and debugging, while building the &quot;code agents&quot; and tools that make it easy for teams to adopt and contribute.
</li><li>Data-driven impact: Partner with Data Science to track user behavior changes following UX updates. Use these insights to drive prioritization and secure stakeholder buy-in by 'closing the loop' on performance.
</li><li>Executive communication: Present clear and compelling progress updates to senior leadership, aligning stakeholders and securing support. 
</li></ul> 
 
Basic Qualifications
 
<ul><li>Experience: Bechelors degree in Computer Science or similar AND 3+ years of product management experience (including high-impact internships). You have a foundational understanding of the product lifecycle and have successfully contributed to shipping digital features or products.
</li><li>UX affinity &amp; design partnership: A strong &quot;product sense&quot; with a deep appreciation for user experience. You are eager to partner closely with Design and User research to translate complex AI behaviors into intuitive, human-centric interactions.
</li><li>Technical literacy: Comfortable navigating the technical side of AI and LLMs. You understand how conversational agents work and care about the Developer Experience - ensuring the tools and libraries you build are easy for other engineers to adopt. We don't expect you to code, but you should feel comfortable discussing deep technical topics with engineering teams and the platform users.
</li><li>Collaborative execution: Proven ability to work in the trenches with cross-functional teams. You are organized, detail-oriented, and capable of driving projects forward in a fast-paced environment.
</li><li>Communication &amp; storytelling: Ability to clearly articulate the &quot;why&quot; behind a feature. You can translate user pain points into technical requirements and communicate progress effectively to both technical and non-technical teammates. 
</li></ul> 
 
Preferred Qualifications
 
<ul><li>Experience working on mobile experiences and consumer products.
</li><li>Phenomenal track record of working with engineering, analytics and design teams, with proven examples to prioritize work across the team.
</li><li>Grittiness: you never hesitate to roll up your sleeves and tackle something hands-on.
</li>Proven track record of growing and scaling a product. 
<li>
</li></ul> 
 
For San Francisco, CA-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Product Manager, Help Center Platform

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Product
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Salesforce Data 360 is building the next generation of AI-powered enterprise experiences that allow employees to ask questions, discover insights, and take action across their company&rsquo;s data and systems.
We are looking for a Product Manager to lead key capabilities behind AI agents and enterprise search built Salesforce Data 360.
This role is ideal for a technical, builder-oriented PM who enjoys rapidly prototyping ideas, experimenting with AI systems, and vibe coding solutions to validate product concepts before they are built at scale.
You will own a significant product area of these AI agents and work across engineering, design, AI research teams across Data 360 and Agentforce teams.
<div>Responsibilities
 
<ul><li>Rapidly prototype and experiment with AI Agents to validate product ideas before scaling them with engineering.
</li><li>Translate customer needs and industry trends into clear product hypotheses and platform capabilities.
</li><li>Define clear epics and requirements that enable teams to deliver high-impact features.
</li><li>Partner across engineering, design, research, and multiple Salesforce clouds to drive cross-platform initiatives.
</li></ul></div><div>Qualifications
 
<ul><li>5+ years of product management experience in consume
</li><li>Strong technical fluency across AI Agents and Search Systems
</li><li>Ability to prototype ideas and experiment with AI tools.
</li><li>Proven ability to lead complex cross-team initiatives and influence stakeholders.
</li><li>Track record of delivering high-impact product capabilities at scale.
</li></ul></div>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.&amp;#xa;&amp;#xa;The typical base salary range for this position is $148,500 - $223,900 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $24,600 annually.&amp;#xa;&amp;#xa;The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.</div>

Product Manager

WorkOS

<div>About WorkOS
WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. 
 
We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Vercel, and Plaid. 
 
As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control&mdash;helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products.<h2 class="jobSectionHeader">
About the role</h2>
The product team at WorkOS is built for people who want to work on complex problems with real stakes. Our users are developers and technical buyers at fast-growing companies &mdash; they have strong opinions, high standards, and they'll tell you exactly what works and what doesn't. Our engineers have sharp product instincts and want to collaborate with PMs who match them.
This is a role with genuine scope. You'll own product areas end-to-end &mdash; from identifying the right problem to driving it through discovery, design, engineering, and launch. You'll think broadly across the product surface, go deep on specific problems, and operate with a level of autonomy that's rare at most companies.<h2 class="jobSectionHeader">
What you'll do</h2><ul><li>
Own specific product areas with full accountability for outcomes &mdash; from discovery through delivery and iteration</li><li>
Talk to customers regularly and synthesize what you learn into clear, prioritized product direction</li><li>
Partner tightly with engineering and design to move from concept to shipped product quickly</li><li>
Define success metrics and use them to evaluate whether what you shipped actually worked</li><li>
Work cross-functionally with marketing, sales, and GTM to bring new features and products to market effectively</li><li>
Identify 0-to-1 opportunities &mdash; things that don't exist yet but should &mdash; and drive them from blank page to launch</li><li>
Make hard prioritization calls with limited information and defend them clearly</li><li>
Contribute to the broader product strategy and roadmap as the company scales</li></ul><h2 class="jobSectionHeader">
What we're looking for</h2>
Must-haves<ul><li>
B2B SaaS experience &mdash; you understand the developer or enterprise buyer and have shipped products for them</li><li>
One of: deep domain knowledge in auth, identity, or developer tooling, or a strong track record building developer-facing products specifically</li><li>
Real 0-to-1 experience &mdash; you've started something from scratch, not just inherited a roadmap</li><li>
Customer obsession in practice, not just on a resume &mdash; you talk to users constantly and it visibly shapes what you build</li><li>
Bias to action &mdash; you move fast, make decisions without perfect information, and iterate rather than waiting for consensus</li><li>
Strong cross-functional collaboration &mdash; you've worked closely with design, engineering, and marketing, and you know how to bring those relationships to get the best work out of a team</li></ul>
Nice-to-haves<ul><li>
Experience with pricing and packaging decisions &mdash; understanding how product and monetization interact</li><li>
Background at a company with a PLG motion or developer-first go-to-market</li></ul>
Logistics<ul><li>
Based in the United States &mdash; SF or NYC is a plus but not required</li><li>
Willingness to travel roughly once a month for team or customer meetings</li></ul>
Benefits (US Only)
At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements. 
Benefits include:<ul><li>Competitive pay</li><li>Substantial equity grants</li><li>Healthcare insurance (Medical, Dental and Vision) for you and your family</li><li>401k matching</li><li>Wellness and fitness monthly allowances</li><li>PTO + paid holidays + unlimited sick leave</li><li>Autonomy and flexibility with remote work</li></ul>
Please inquire directly with our recruiting team for benefits available to those working outside the US. 
Equal Opportunity Employer
WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Compensation Range: $175K - $250K</div>

iRhythm Technologies

<div>Position: Senior R&amp;D Project Manager
Location: 699 8th Street, Suite 600, San Francisco, CA 94103 
Responsibilities include:
iRhythm Technologies, Inc. seeks a Senior R&amp;D Project Manager (San Francisco, CA) to lead and manage the design and development of clinical software solutions for iRhythm products and services. Lead a cross-functional team to ensure that clinical needs are met by incorporating regulatory and compliance requirements into the software design and development process. Participate in production release/ health monitoring activities. Support regulatory affairs to prepare necessary documentation such as risk analysis, cybersecurity documents, clinical data, software validation and verification, and algorithm performance testing for regulatory submissions. Oversee execution of medical device and cybersecurity risk management activities. Guide and manage the usage of Agile Methodologies and Scrum frameworks to simplify program delivery. Establish and maintain the product Design History File (DHF) following compliance and regulatory standards. Work with product and engineering teams to build and maintain clear program roadmaps. Develop a technical project timeline to meet program strategy, budget, scope and business needs. Prioritize program workstreams, consistent with program strategy. Identify potential roadblocks early and lead the team to develop and implement counter measures. Facilitate and foster strong communication among stakeholders, ensuring all parties are aligned on the goals, timelines and compliance needs. Drive tactical decisions for projects. Local telecommuting permitted up to 4 days per week. 10% domestic travel and 3% international travel required. 
SALARY RANGE: $164,714 to $246,000 per year 
JOB REQUIREMENTS:
Requires a Master&rsquo;s degree in Electrical Engineering, Biomedical Engineering or related field and 5 years of experience managing software development projects within medical device applications. Must have experience with: Technical Project management and Agile methodologies; Managing projects involving large cross-functional teams; Standards and guidelines such as IEC 62304, IEC 62366, IEC 60601, ISO 14971, ISO 13485 and 21 CFR Part 820; Managing 510(k) submission(s) and other regulatory submissions to the FDA; Practical
knowledge of US and international regulations including FDA, EU MDR, PMDA, and UKCA for Software as a Medical Device (SaMD); Software platforms including Smartsheet for project management, the Atlassian Toolset (Jira and Confluence), Jama for requirements management, and Aha! for product portfolio management; and Supporting regulatory affairs to prepare necessary documentation such as risk analysis, cybersecurity documents, clinical data, software validation and verification, and algorithm performance testing for regulatory submissions. 
THIS POSITION IS ELIGIBLE FOR THE EMPLOYEE REFERRAL PROGRAM</div>

Senior R&D Project Manager

DigitalOcean

<div><div>Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here. We value winning together&mdash;while learning, having fun, and making a profound difference for the dreamers and builders in the world.</div><h2 class="jobSectionHeader">
We are looking for a Manager, Customer Success Engineering (AI &amp; Cloud Support) who is passionate about delivering exceptional support experiences and building high-performing teams.</h2>

As a Manager, CSE (AI &amp; Cloud Support) at DigitalOcean, you will operate as a Support Manager leading a team of Customer Success Engineers (CSEs) supporting strategic customers across cloud infrastructure and emerging AI/ML workloads. Reporting to the Senior Manager of Customer Success Engineering, you will own day-to-day support operations, team performance, and customer experience outcomes.

This role is focused on driving operational excellence while building strong technical depth within the team across AI, GPUs, Kubernetes, Databases and core cloud offerings. You will play a key role in ensuring consistent support coverage, developing SMEs, and partnering cross-functionally with Product and Engineering to improve both customer experience and product quality.

The ideal candidate brings a deep understanding of cloud and AI/ML ecosystems, including machine learning operations (MLOps), and enterprise support, combined with a passion for innovation and automation, and a proven ability to lead teams in delivering &quot;white-glove&quot; experiences for strategic customers.<h2 class="jobSectionHeader"> 

What You'll Do:</h2>

Team Leadership &amp; Development
<ul>
<li>Lead, hire, train, mentor and develop a high-performing team of Customer Success Engineers (CSEs), driving accountability, performance, and career growth</li>
<li>Establish performance metrics (KPIs/SLAs) and conduct regular 1:1s, performance reviews, and career development planning.</li>
<li>Own end-to-end support operations, including queue management, escalations, and shift planning to ensure consistent 24x7 coverage.</li>
<li>Drive improvements in key support metrics such as CSAT, response times, resolution times, and overall support quality.</li>
<li>Build and strengthen technical expertise within the team across core areas such as Kubernetes (DOKS), Databases, Compute, and AI/ML workloads.</li> 
</ul>
Strategic Customer Support 
<ul>
<li>Act as the ultimate point of technical escalation for our largest, most strategic enterprise customers across Cloud and AI/ML workloads, stepping in to manage critical incidents and high-severity (Sev1/Sev2) issues.</li>
<li>Design and implement customized support plans, SLAs, and escalation pathways tailored to the needs of strategic accounts.</li>
<li>Partner closely with Technical Account Managers (TAMs), Growth Account Managers (GAM) to conduct Executive Business Reviews (EBRs) and ensure customers are maximizing the value of our Cloud and AI/ML products.</li>
<li>Proactively identify risks and opportunities within strategic accounts to improve customer experience, adoption, and retention.</li>
</ul>
Technical &amp; Cross-Functional Operations
<ul>
<li>Serve as the Voice of the Customer (VoC) to Product and Engineering teams, synthesizing support data to advocate for bug fixes, feature requests, and UX improvements.</li>
<li>Own and continuously improve escalation protocols between AI/ML Support and CloudOps, Infrastructure Engineering, and Product &mdash; including Jira escalation routing, Sev1 bridge management, and post-incident documentation.</li>
<li> Own the development and maintenance of SOPs, escalation runbooks, HVC support playbooks, and knowledge base content &mdash; treating documentation infrastructure as a core operational lever for team scalability.</li>
<li>Contribute to the vision for AI and automation within support&mdash;building intelligent tooling and driving the team toward an automation-first model to improve efficiency, scalability, and customer experience.</li>
<li>Foster a culture of continuous learning, ensuring the team stays ahead of evolving cloud technologies, AI/ML frameworks, and industry trends.</li>
</ul><h3 class="jobSectionHeader">Key Metrics:</h3>
<ul><li>Customer Satisfaction (CSAT) for strategic accounts</li>
<li>Time to Response and Resolution (TTR) for strategic customers</li>
<li>Tier 1 resolution rate vs. escalation rate</li>
<li>Time-to-escalation and engineering handoff SLA adherence</li>
<li>SLA adherence and escalation response times</li>
<li>Support productivity and quality (QA scores)</li>
<li>Post-incident documentation completion rate</li>
</ul><h2 class="jobSectionHeader">What You'll Add to DigitalOcean:</h2>
<ul><li>Experience: 5+ years of experience in Technical Support, Customer Success, or Technical Account Management within B2B SaaS, Cloud, or AI/ML environments ideally including experience supporting AI-native, high-growth companies with 24x7 production dependencies on GPU infrastructure.</li>
<li>Leadership: 2+ years of people management experience leading technical, customer-facing teams, preferably in a high-growth, post-acquisition, or rapidly scaling environment.</li>
<li>Technical Domain Expertise: Solid understanding of AI/ML concepts, including Generative AI, Large Language Models (LLMs), natural language processing (NLP), and MLOps. Deep familiarity with GPU infrastructure (NVIDIA H100/H200, bare metal GPU provisioning) and AI inference workloads is strongly preferred.</li>
<li>Coding/Integration: Proficiency in reading and debugging code (Python preferred) and troubleshooting RESTful APIs and cloud architecture.</li>
<li>Communication: Excellent verbal and written communication skills, with the ability to translate complex technical or AI concepts for diverse audiences OR to both highly technical engineers and non-technical business executives.</li>
<li>Problem-Solving: Proven ability to remain calm under pressure and de-escalate high-stakes situations with enterprise clients.</li>
</ul>
Preferred Qualifications:
<ul>
<li>Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and AI toolchains (e.g., LangChain, Hugging Face).</li>
<li>Experience with major cloud platforms (AWS, Google Cloud, Azure) and their native AI/ML services.</li>
<li>Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical field.</li>
<li>ITIL or equivalent service management certification</li>
</ul><h2 class="jobSectionHeader">Compensation Range:</h2>
<ul><li>$125,000 - $153,000</li>
</ul>
<ul><li>This is a remote role</li></ul>

JR: 2026-7692

#LI-Remote<div><h2 class="jobSectionHeader"> 
Why You'll Like Working for DigitalOcean</h2>
<ul><li>We innovate with purpose. You'll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.</li>
<li>We prioritize career development. At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.</li>
<li>We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.</li>
<li>We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.</li>
<li>DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.</li>
</ul>
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.</div></div>

Manager, Customer Success Engineering

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