Position Summary: 

Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Machine Learning Engineer.  We are looking for a software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. 

In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. 

Responsibilities: 

• Develop and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc. 

• Develop and maintain backend services using Python, focusing on AI-driven applications. 

• Design and implement APIs for seamless integration with AI models and services. 

• Develop tools for large-scale data processing and ETL and contribute to extracting insights from data to help guide ML systems development 

• Participate in code reviews, testing, and quality assurance processes. 

• Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services. 

• Develop algorithms to ensure the integrity and robustness of ML solutions by developing automated testing and validation processes. 

• Document and communicate development processes and implementation details with peers and supervisors 

• Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. 

Required Qualifications: 

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field. 

• 2+ years experience in the industry with a strong focus on ML solutions development and production deployment is a plus. 

• Good understanding of Machine Learning fundamentals such as Deep Neural Networks, Transformer-based LLM and MLMs, Boosted or standard decision trees, RAG, etc.  

• Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development. 

• Proficiency in Python and familiarity with ML libraries such as PyTorch. 

• Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Some experience in developing and fine-tuning prompts on any of the GenAI services is a plus. 

• Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking. 

• The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment. 

• Good written communication skills that enable collaboration in a remote environment. 

Data Center Technician III Role:

The Data Center Technician III assists in the operational integrity, security, and regulatory compliance of the data center. The technician is to have a strong knowledge of telecommunications, mechanical, electrical, and life safety systems as well as data center operating procedures.

We are currently hiring for the Day Shift, Swing Shift, and Night Shift: Sunday-Thursday

**Relocation assistance and sign-on bonuses available for qualifying candidates.

A Tier III technician will be responsible for day-to-day operations of the data center including facilities and telecommunication infrastructure. The responsibilities are wide ranging and multi-disciplinary.

Mechanical responsibilities will include working on chilled water systems and components, HVAC systems such as roof top units, CRAC/CRAH units, humidification systems, and central plant operations.

Electrical responsibilities will include working on electrical/critical power distribution from the Utility/Generator main switchgear through the UPS systems out to the customer load including power circuit installations.

Fire Life Safety responsibilities will include monitoring wet sprinkler systems and pre-action sprinkler systems as well as their associated detection devices.

Telecommunications responsibilities will include cross connect installations, cabling infrastructure management, advanced remote hands support, and customer cage and cabinet build outs.

Responsibilities will include customer infrastructure build-outs (cage builds, overhead installations, rack and stack), cable termination and testing, maintenance work, monitoring and responding to mechanical, electrical, fire protection, telecom, and security systems. These systems include, transformers, PLC’s, generators, switchgear, UPS systems, STS’, ATS’ PDU’s, chilled water systems, CRAC/CRAH, wet sprinkler systems and pre-action sprinkler, network equipment, transmission media, cabling infrastructure, security hardware, and CCTV.

Duties:

• Completion of the Data Center Operations Qualification Program to the tier level at which you are hired within the first nine (9) months of employment.
• Operate, monitor, maintain, and respond to abnormal conditions in facilities systems. Areas include: Electrical, Mechanical, Communications, Building Monitoring and Control.
• Tracking and trending operational characteristics.
• Provide feedback to management on the effectiveness of existing standards and processes.
• Works with contractors and consultants for all system expansions, corrections and upgrades
• Work with the senior technicians to track and complete an aggressive preventive and predicative maintenance schedule.
• Ensure data center operates at maximum operational efficiency, including analyzing existing operating conditions, recommending new technologies, and improving overall efficiency and cost reduction as per guidelines. Ideal candidate will have a demonstrated technical ability and innovative thinking cross functionally, including integrated systems and IT.
• Manage systems to avoid unplanned, customer-impacting outages.
• Navigate and utilize a CMMS system.
• Provide day-to-day exceptional customer service and support.
• Maintain and complete regular facility and security tours documenting and responding to found issues.
• Assist with the database management of maintenance discrepancies and work with to resolve site issues based on agreed upon priorities.
• Follow direction from data center management regarding the data floor and back of house mechanical loading capacity thereby ensuring that the cooling system is operating at its highest efficiency.
• Trouble Ticket and Remote Hands Management
• Fiber and Copper cabling terminations
• Circuit path creation and verification
• Coordinate and oversee power installations and upgrades
• Work Order Completion Process
• Infrastructure projects (Internal/Customer)

1. Cage and Cabinet Build-Outs
2. Overhead Installations
3. Rack and Stack

• Use developed procedures to solve problems
• Assist in asset and consumable inventory management.
• Responsible for the tracking and proper labeling of all equipment per established procedures.
• Incident escalation, response, and follow-up report writing
• Manage building service requests through resolution.
• Perform and complete work orders and customer service tickets in a timely manner
• Serve in a technical writing capacity in regard to the derivation of procedures for preventative or corrective maintenance activities.
• Adhere to and promote the Principles of Operational Excellence
• Provide applied mechanical and integrated control expertise for the entire data center.

Requirements

This position is required to interact with personnel, vendors, partners, contractors and clients.

Knowledge

• Firm and proven understanding of the electrical and mechanical systems used in a data center environment.
• Firm and proven understanding of fiber optics / cabling infrastructure and industry best practices.
• Firm and proven understanding of Proficient knowledge of NEC, NFPA 70E, NFPA 72, NFPA 25, and compliance issues as well as building codes in regard to fire life safety
• Proficient knowledge in industrial safety best practices (i.e. lockout/tag out, arc flash protection, OSHA and state regulations)
• Proficient and experienced with data trending / tracking and analysis and ability to rapidly learn and use PC based, integrated critical monitoring systems

Skills

• Minimum of 2 years of experience installing, maintaining, and/or troubleshooting large commercial and industrial systems including:
• Chilled Water Systems
• Large Centrifugal Chillers
• Cooling Towers
• Heat Exchangers
• Water Treatment Systems
• VFD’s and Pumps
• HVAC equipment
• CRAC/CRAH’s
• Humidification Systems
• BMS and PLC Controls
• Emergency Standby Diesel Generator Systems
• Fuel/Oil systems,
• 480/277 and 208/120 electrical generation and distribution
• Static UPS Systems
• Double Interlock Pre-Action Systems
• Communications cabling
• Cabling infrastructure
• Network infrastructure and hardware
• Experience laying out, pulling, dressing, and terminating fiber and copper communications cabling.
• Experience diagnosing and repairing IT hardware, servers, network switches, structured cabling.
• Proven leadership skills
• Excellent communication skills, both written and oral
• Suite (Word, Excel, PowerPoint, Project)

Abilities

• Ability to communicate effectively with customers and internal staff.
• Ability to coordinate, supervise and communicate with contractors who perform maintenance or upgrade work on these systems.
• Ability to learn quickly and address issues as they arise during normal working hours or after hours.
• Ability to operate in and promote a rigorous process-driven team environment
• Ability to logically analyze and solve problems
• Ability to effectively multi-task multiple projects
• Operate Hand and Machine Tools (hammer, drill, saw, etc.)
• Operate electrical tools such as a multi-meter or infrared camera

Education/Experience

• High School Diploma or greater
• 2-5 years of experience in the data center industry
• Be able to pass an extensive background check, including criminal history, personal references, employment and education verification, and Department of Motor Vehicle and credit check.

Physical Demands and Special Requirements

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Ability to stand 1/3 – 2/3 of the time
• Ability to walk 1/3 – 2/3 of the time
• Ability to sit 1/3 – 2/3 of the time
• Ability to climb and balance 1/3 – 2/3 of the time
• Ability to stoop, kneel, crouch and crawl 1/3 – 2/3 of the time
• Ability to reach with hands & arms 1/3 – 2/3 of the time
• Ability to smell, talk & hear
• Ability to use hands to type, handle & feel
• Ability to reach with hands and arms
• Ability to see at close and distance ranges and the ability to see color
• Must be comfortable working in a high stress, fast paced environment with shifting priorities
• Must be willing to work outside normal business hours, including weekends, late nights, holidays, and on-call support
• Ability to lift up to 50 pounds 1/3 of the time

Compensation:

Compensation for this role includes a base salary between $34.50/hr and $40.00/hr. This role is also eligible for an annual bonus and equity, based upon individual and company performance.

Benefits

Not only do we have a fun, team-focused work environment, but we also offer great benefits to all employees regularly scheduled to work more than 20 hours a week!

• First-day medical insurance through Cigna with generous premium cost coverage
• Dental insurance through Delta Dental
• Vision insurance through VSP
• Telemedicine through MDLive for Cigna
• Healthcare and dependent care flexible spending account (FSA) plans
• Health saving account (HSA) plans for employees participating in the High Deductible Health Plan
• Life, AD&D, short-term disability, and long-term disability insurance fully paid by the company
• Voluntary coverage benefits for supplemental life, critical illness, accident, and hospital insurance
• First-day eligibility for 401(k) savings plan through Fidelity, which includes an attractive matching company contribution with a 5% company match
• Discretionary annual bonus and equity incentive plan
• Employee stock purchase plan (ESPP) with a 15% discount
• 16 days of paid time off (PTO)11 paid company holidays and additional floating holidays
• Additional paid time off for school events, elder care, volunteering, bereavement, jury duty, voting, parental leave and disability leave
• Free parking or a company contribution toward a public transit pass

Additional Perks

• Wellness Reimbursement Program: Yearly stipend of $500 for employees and $300 for dependents, up to $800 total for the family
• Wellness Incentive Program: Participate in various wellbeing activities to earn up to $450 per year in cash incentives
• Technology Stipend: $100 monthly stipend.
• Educational Reimbursement Program: Work-related learning and development with reimbursement on qualifying degree programs, up to $5,250 per year
• Giving Back: Charitable donation matches up to $5,000 per year and nominate organizations for Company Foundation grants
• Financial Management: Access to financial coaching, digital tools and services to manage and pay student loan debt quicker
• Pet Insurance: Keep your furry friends healthy and happy
• Family Planning: Benefits and services related to fertility, pregnancy, menopause, adoption and surrogacy
• Employee Assistance Program: 24x7 service to support family, work, money, health, legal and life challenges
• Counseling and Caregiving Programs: Including access to mental health services, licensed counselors, and caregiving tools including membership for finding care.
• Referral Bonus: Receive a $3,000 cash bonus if referred candidate is hired and meets eligibility requirements
• Discounts: Discounts, cash back offers and perks on thousands of brands
• LinkedIn Learning Membership: Support your development when accessing LinkedIn’s online library of courses and videos

General Statements -

Applicants must be currently authorized to work in the United States on a full-time basis. The employer will not sponsor applicants for work visas.

Please note that all offers of employment are contingent upon the successful completion of a background check and, where permitted by law, a 5-panel drug test conducted after the offer letter is signed, which will screen for THC, opiates, PCP, cocaine, and amphetamines. Thank you for your understanding and cooperation.

The Team + The Role

Pendo’s Customer Engineering team is the technical backbone of the pre- and post-sales customer motion. The team brings together work that has historically sat across Customer Success, Technical Account Management, and Solutions Engineering into one full-lifecycle technical owner. Customer Engineering helps customers connect technical execution to business outcomes and realize the value of their investment in Pendo.

As a Senior Customer Engineer, you own strategic and complex Enterprise accounts across acquisition, implementation, adoption, expansion, and escalation. You lead technical strategy for complex deployments, resolve ambiguous customer challenges, and partner closely with account teams to drive retention, expansion, and customer value. Your impact extends beyond your own accounts through playbooks, coaching, repeatable fixes, and workflow improvements that raise the capability of the broader Customer Engineering team.

This is a remote role supporting a West Coast territory. 

What this looks like day-to-day

• New customer acquisition and selling: Partner with Account Directors on pre-sales motions for new customer acquisition, product expansion, and expansion across lines of business. You identify customer pain, craft and deliver tailored demos, and lead technical evaluations through requirements gathering, success criteria, installation guidance, and hands-on workshops.
• Complex implementations and value realization: Lead onboarding for strategic customers, including planning, implementation, integrations, and training. You build customer-specific implementation playbooks, guide complex deployments with executive visibility, and ensure customers realize value during onboarding and over time.
• Adoption, expansion, and growth: Identify opportunities to expand adoption across underutilized features, untapped products, and new lines of business. When adoption stalls, you diagnose root causes, design a path forward, and connect technical work to measurable business outcomes.
• Technical escalation: Serve as an escalation point for complex technical challenges raised by other Customer Engineers. You resolve ambiguous problems with multiple variables and tradeoffs, involving Product or Engineering only when truly needed.
• Team capability building: Build playbooks, document repeatable fixes, coach peers, and improve how Customer Engineering work gets done across the team. You use AI tools to accelerate content creation, surface patterns across accounts, and share practical workflow findings with the broader team.
• Early account impact: Assess account health, risks, stakeholder relationships, and the highest-priority problems to solve within your portfolio. You establish trust with Account Directors and customer stakeholders, then independently lead complex customer interactions that move accounts forward.
• Quarterly business outcomes: Drive measurable improvement in customer health, retention, expansion, and technical resolution across strategic accounts. You contribute reusable frameworks, playbooks, or processes that other Customer Engineers use and become a trusted advisor to Account Directors on account health and technical strategy.

Who You Are

Beyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things we'll actually look for in how you talk about your work.

You're a builder, not a maintainer.

You're most energized when there isn't a clear path yet, and you get to define it. You don't wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great Senior Customer Engineers don't just follow instructions; they operate as strategic advisors, influencing decisions, guiding stakeholders, and elevating how we work.

You're AI-curious - genuinely.

You're not using AI tools occasionally. You're rewiring how you work around them. You're faster, sharper, and more prolific because of it, and you bring that energy to everything — how you approach your work, how you prep, how you communicate, how you think. We want someone who sees AI as a multiplier, not a shortcut.

Must-haves

• 5 to 8 years of experience in a customer-facing technical role such as Sales Engineering, Solutions Engineering, Technical Account Management, Customer Engineering, implementation, professional services, or solutions architecture.
• Deep hands-on experience with web technologies including HTML, CSS, JavaScript, and REST APIs, with the ability to architect and troubleshoot complex front-end implementations.
• Proven experience managing strategic Enterprise accounts with executive-level stakeholders, competing priorities, and complex technical or business requirements.
• Demonstrated ability to solve ambiguous problems involving multiple variables, constraints, and tradeoffs.
• Experience connecting technical execution to business outcomes such as retention, expansion, ROI, and value realization.
• Hands-on use of AI tools for account research, content creation, or workflow automation, with demonstrated integration into day-to-day work rather than light experimentation.
• Experience mentoring or coaching more junior technical team members.

Nice-to-haves

• Experience with Pendo, digital adoption platforms, product analytics, or in-app experience tooling in an enterprise environment.
• Hands-on experience with mobile app development, including Swift, Android, or React Native.
• Familiarity with data architecture, AI or machine learning concepts, or advanced analytics instrumentation.
• Track record of building reusable frameworks, playbooks, or processes that were adopted by a broader team.

About Pendo

Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech.

Pendo Core Values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus.

Location: Remote

Compensation: The expected On-Target Earnings (OTE) range for this role is $193,393 - $241,742, with a 70/30 base-to-variable compensation split.

Benefits: Pendo offers highly competitive United States benefits, including employer-heavy coverage with $0 premium options, strong 401(k) match, equity, and flexible time off.

EEOC: We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives.

Accessibility: Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: accommodation@pendo.io. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

Delivering Customer Success is an important focus for Dataiku. As a Senior Customer Success Engineer (CSE) within our Solutions Engineering team, you’ll help Dataiku’s customers achieve meaningful outcomes with business analytics, AI/ML, and Gen AI. 

In this technical and consultative customer-facing role, you’ll focus on technical programming to increase adoption through product enablement and one-to-many user engagement. You’ll leverage your understanding of enterprise analytics, high-impact communication abilities, and hands-on data science skills to add business value. This role will also partner closely with cross-functional teams, including Account Executives, Sales Engineers, and Professional Services and Partners to accelerate end-user adoption.

How you’ll make an impact 

• Work closely with Dataiku’s customers, focusing on onboarding, increasing user adoption, retention, and satisfaction.
• Possess deep technical knowledge of the Dataiku platform to educate customers on best practices within the Dataiku platform. 
• Develop a deep understanding of customer business, use cases, and outcomes to guide their success with Dataiku's products and services.
• Execute demonstrations of new product features and conduct hands-on workshops in collaboration with the Sales Engineers. 
• Establish regular touchpoints with customers to advise users on using Dataiku for their specific business needs, including hands-on support as appropriate.
• Execute programs to create self-sustaining enablement and evangelism of Dataiku within customer accounts.
• Collaborate with Account Executives and Sales Engineers to drive customer engagements with the Dataiku platform and identify opportunities for expansion (both software and professional services) that can drive additional value for customers.
• Document and share the adoption status and key information to inform internal forecasting and renewal.
• Collaborate with other Dataiku functions (such as marketing) on capturing and sharing the customer stories publicly. 
• When identifying technical issues that block user adoption, coach administrators and users to initiate support tickets for timely resolution. 
• Stay current on Dataiku’s products, competitive landscape, and data science trends.
• Willingness to travel up to 25%.

What you’ll need to be successful

• Bachelor’s degree in Data Science, Business Analytics, Statistics, Computer Science, or a related technical field.
• Minimum of four years of experience in sales engineering, technical or solutions consulting, post-sales technical delivery, or data science roles with a proven track record of customer trust and satisfaction.
• Strong written and oral presentation skills, capable of engaging both business and technical stakeholders.
• Strong technical, analytical, and problem-solving skills.
• Experience in building and operating communities of practice.
• Ability to navigate ambiguity, build consensus, foster accountability, and work with urgency to deliver customer outcomes.
• Ability to tailor messaging to personas with varying levels of technical acumen, including no-code and high-code users
• Dataiku advanced designer, Snowflake SnowPro Core and Databricks Business Analyst certifications preferred (not required).
• Preferably located within the Northeast region of the United States. 

What will make you stand out

• Never-ending intellectual curiosity, detail-oriented, and analytical.
• Hands-on experience with data storage and computing infrastructure (SQL, Kubernetes, etc.) and proficiency with Python, R, SQL
• Knack for public speaking with appreciation for engaging with all levels of customer teams, from individual contributors to leadership.
• Passion for technology, the data and analytics space, and enjoyment learning new solutions, features, and functionalities, translating these into business value for customers.
• Experience in Analytics/AI or other enterprise software (preferred but not required).

Overview

As a GIS subject matter expert, you’re a natural at identifying the right analysis tools for the problem at hand. Not only do you create innovative solutions, you talk about solutions in ways that get others excited about the power of GIS technology. Join an account team and advise customers on their most complex business challenges. Leverage your problem-solving skills to demonstrate the value of GIS and how it finds unique patterns, trends, and understanding.

 At Esri, we are committed to our customers and their success. It is a place for you to do your best work and partner with our customers amid a supportive culture that encourages creativity, collaboration, and passion.

Responsibilities

• Build relationships. Present, demonstrate, and support selling Esri software and solutions as part of the account team. Gain access to technical enterprise-level decision makers and lead technical meetings that drive revenue.
• Be an expert. Be a technical leader of Esri technology as well as a subject matter expert of electric, gas and/or telecommunications. Demonstrate your advanced understanding of sales strategies and initiatives to develop complex solutions for Esri’s most strategic customers. Understand an organization’s business structure, associated workflows, third party business systems, and integration points. Share knowledge and coach new team members on best practices.
• Solve problems. Proactively craft and propose solutions that clarify how GIS brings business value to our customers by addressing the critical challenges they face. Define and deliver complex strategies that align Esri technology with our largest customers’ business needs.
• Tell our story. Design presentations for technical and non-technical audiences within Esri’s largest customers. Provide configuration guidance and best practices. Present at large conferences and executive engagements.

Requirements

• 5+ years of experience with Esri technology creating maps, performing spatial analysis, and configuring web applications
• 3+ years of experience in electric, gas and/or telecommunications
• Broad knowledge of ArcGIS from an IT context (such as hardware, storage, security, networking, web services, virtualization, cloud computing)
• Demonstrated experience in technical consulting and conceptual solution design
• Understanding of sales and business development processes
• Ability to troubleshoot client issues related to Esri application deployment and system architecture
• Experience with geodatabases and underlying DBMS technology
• Knowledge of cloud computing concepts and environments (Microsoft Azure or AWS)
• Experience integrating software solutions with other business systems including data warehousing, BI, CRM, ERP, and analytics platforms
• Programming and scripting experience with languages such as Python and JavaScript,
• Remarkable presentation, interpersonal, and listening skills
• Ability to travel domestically or internationally 25-50%
• Bachelor’s degree in geography, computer science, or a related field
• Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S.

Recommended Qualifications

• Experience incorporating real-time information streams with existing GIS data and IT infrastructure
• Knowledge of digitalization strategies that include mobile, IoT, advanced analytics and data science (AI/ML), and imagery
• Master’s degree in geography, computer science, or a related field

Questions about our interview process? We have answers.

#LI-JP2

#LI-onsite

We want people who are passionate about troubleshooting complex problems with systems, networking and storage at scale.

We are looking for a seasoned system administrator to help us keep the cloud running smoothly. Reporting to the manager of Cloud Operations, the GPU Operations Engineer monitors and provides first-response to all cloud health issues that impact, or could potentially impact, customer experience - internal or external. You will interface with teams across the organization to research and troubleshoot issues from single droplets to cloud-wide disturbances. Our workweek spans five days, and that may involve working on weekends.

What You'll Be Doing: 

• Ensuring maximum uptime for our global infrastructure
• Automating processes and building tools to improve operational efficiency
• Coordinating operational work across teams to improve the platform with minimal impact

What You'll Add to DigitalOcean:

• Solid experience with Linux operating systems or Networking and day to day upkeep
• Familiarity with virtualization technologies and troubleshooting virtual machine instances
• Familiarity with containerization technologies and troubleshooting containers
• Familiarity with IPv4 Networking and troubleshooting (CCNA equivalent)
• Basic storage concepts and technologies
• Experience with monitoring systems and incident management
• Experience scripting in one or more of the following languages: Bash, Python, or Go
• Experience with GPU hardware or AI/ML, and Kubernetes
• A passion for good documentation and open communication
• Proven ability to learn!

Compensation Range: 

• $107,000 - $134,000

*This is a remote role

JR: 2026-7423

#LI-Remote

Overview

As a GIS subject matter expert, you’re a natural at identifying the right analysis tools for the problem at hand. Not only do you create innovative solutions, you talk about solutions in ways that get others excited about the power of GIS technology. Join an account team and advise customers on their most complex business challenges. Leverage your problem-solving skills to demonstrate the value of GIS and how it finds unique patterns, trends, and understanding.
 
At Esri, we are committed to our customers and their success. It is a place for you to do your best work and partner with our customers amid a supportive culture that encourages creativity, collaboration, and passion.

Responsibilities

• Build relationships. Present, demonstrate, and support selling Esri software and solutions as part of the account team. Support your team as you help plan and execute sales strategies.
• Be an expert. Become a subject matter expert of electric, gas and/or telecommunications as well as a technical expert of ArcGIS. Speak confidently with customers about Esri technologies and thoroughly communicate the Esri message. Be a visionary for your customers anticipating their needs and the technology trends that may impact them.
• Solve problems. Proactively craft and propose solutions that clarify how GIS brings business value to our customers by addressing the critical challenges they face. Define and deliver strategies to customers that align Esri technology with their business.
• Tell our story. Present technical demonstrations of proposed solutions to customers. Successfully design presentations for technical and non-technical customers. Provide best practices related to the use, deployment, and administration of Esri technology. Present at conferences and trade shows.

Requirements

• 2+ years of experience with Esri technology creating maps, performing spatial analysis, and configuring web applications
• 1+ years of experience in electric, gas and/or telecommunications
• Understanding of ArcGIS from an IT context (such as hardware, storage, security, networking, web services, virtualization, cloud computing)
• Experience in technical consulting and conceptual solution design as well as an understanding of sales and business development processes
• Experience with geodatabases and underlying DBMS technology
• Knowledge of cloud computing concepts and environments (Microsoft Azure or AWS)
• Remarkable presentation, interpersonal, and listening skills
• Ability to travel domestically or internationally 25-50%
• Bachelor’s degree in geography, computer science, or a related field
• Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S

Recommended Qualifications

• Ability to troubleshoot client issues related to Esri application deployment and system architecture
• Experience integrating software solutions with other business systems including data warehousing, BI, CRM, ERP, and analytics platforms
• Experience incorporating real-time information streams with existing GIS data and IT infrastructure
• Basic understanding of artificial intelligence/machine learning concepts
• Programming and scripting experience with languages such as Python and JavaScript
• Master’s degree in geography, computer science, or a related field

Questions about our interview process? We have answers.

#LI-Onsite

#LI-JP2

About the Opportunity

We are hiring a Personalization Solution Architect with deep domain expertise in personalization and experimentation to join Contentful’s Professional Services team. This role is designed for a practitioner who has built, operated, and scaled personalization programs in production, and who also brings the hands-on technical skills required to implement those programs in modern, composable architectures.

This is not a generalist Solution Architect role with light exposure to personalization. Success in this role requires strong opinions and real-world experience across audience strategy, decisioning, experimentation, and measurement—paired with the ability to design and deliver high-quality technical implementations using Contentful Personalization.

You will work directly with customer engineering, product, and marketing teams to design and implement advanced personalization and experimentation solutions, while also serving as a customer-facing extension of Contentful’s Product and Engineering teams. Your work will help reduce implementation risk, accelerate time to value, and create tighter feedback loops into product development—specifically for complex personalization use cases.

What to expect? 

Personalization & Experimentation Domain Leadership 

• Own the end-to-end design of personalization and experimentation programs, including:
• audience and segmentation strategies grounded in behavioral, contextual, and first-party data
• experience decisioning models that balance relevance, performance, and governance
• experimentation frameworks (A/B, multivariate, holdouts) with clear hypotheses and success criteria
  
  
• Design personalization strategies that scale responsibly, including:
• guardrails to prevent over-personalization, bias, and degraded user experience
• approaches for global, multi-brand, or multi-region deployments
• tradeoffs between targeting precision, latency, and operational complexity
  
  
• Define measurement approaches that connect:
• user behavior → decisioning logic → exposure → business outcomes
  
  
• Act as a domain authority for personalization and experimentation in customer engagements, confidently guiding technical and non-technical stakeholders through best practices, limitations, and tradeoffs.

Technical Solution Architecture & Hands-On Delivery

• Architect and implement end-to-end personalization solutions using Contentful Personalization, including:
• user identification and profile stitching
• audience evaluation and decisioning
• personalized content and experience delivery
  experimentation and uplift measurement
  
  
• Lead hands-on implementation activities such as:
• building proof-of-concepts and reference implementations
• configuring personalization models and decision logic
• developing integration services and APIs
• supporting production deployments and performance optimization
  
  
• Integrate personalization solutions with enterprise platforms including:
• CDPs (Segment, Tealium, mParticle, etc.)
• CRMs (Salesforce, Dynamics)
• analytics platforms (GA4, Adobe Analytics, Snowplow)
• identity, consent, and privacy tooling
  
  
• Design personalization delivery patterns across modern rendering strategies:
• SSR, CSR, SSG, ISR
• edge and CDN-based personalization
• hybrid static + runtime personalization approaches
  
  
• Ensure solutions meet enterprise requirements for:
• performance and scalability
• reliability and fallback behavior
• security and privacy compliance

Technical Discovery & Customer Enablement

• Lead technical discovery sessions to assess customer readiness across:
• data quality, identity maturity, and event instrumentation
• architectural constraints (latency, caching, edge delivery)
• content model alignment and operational workflows
  
  
• Translate personalization requirements into detailed technical designs, including:
• integration patterns and API contracts
• data and event schemas
• deployment and observability considerations
  
  
• Enable customer teams through:
• implementation workshops and pair-programming
• architecture and code reviews
• developer documentation and operational runbooks

Cross-Functional Collaboration & Feedback Loops

• Partner closely with Contentful Product and Engineering teams to:
• surface implementation challenges and recurring customer pain points
• provide feedback that influences roadmap, developer experience, and documentation
• validate new personalization capabilities against real customer use cases
  
  
• Contribute to internal enablement by:
• mentoring Solution Architects and delivery team members
• developing reusable accelerators, patterns, and reference architectures
• supporting Sales and Solution Engineering with technical expertise in complex personalization opportunities

What you need to be successful?

Required: Personalization & Experimentation Domain Expertise

• Demonstrated, hands-on experience designing and operating personalization and experimentation programs in production, including:
• ownership of audience strategy and decisioning logic
• designing and running A/B or multivariate experiments beyond basic UI testing
• interpreting experiment results and translating them into iterative improvements
  
  
• Strong understanding of personalization challenges such as:
• identity resolution and anonymous vs known users
• data sparsity and cold-start scenarios
• experimentation validity, bias, and statistical tradeoffs
• privacy, consent, and regulatory constraints

Required: Technical & Architectural Skills

• Advanced proficiency with modern web technologies:
  • JavaScript / TypeScript
  • React with Next.js (preferred), or Vue/Nuxt, Angular
  • REST and GraphQL APIs
    
    
• Deep understanding of web rendering and delivery patterns:
  • SSR, CSR, SSG, ISR
  • caching strategies and personalization at scale
• Strong experience integrating SaaS platforms and enterprise systems via APIs
• Experience designing or implementing cloud-native architectures (AWS, Azure, or GCP), including:
  • serverless or microservices-based systems
  • event-driven or streaming architectures

Professional Services & Collaboration Skills

• Experience delivering customer-facing technical engagements in a consulting or professional services context
• Comfortable leading technical deep dives with engineering teams and explaining experimentation concepts to non-technical stakeholders
• Strong written communication skills, especially technical documentation

Nice to Have

• Experience with CDPs, tag management systems, and event pipelines
• Familiarity with ML-driven personalization approaches (e.g., propensity models, recommenders), even if models are externally managed
• Experience working in composable DXP ecosystems (CMS, personalization, experimentation, commerce)

What Success Looks Like

• Customers successfully deploy production-grade personalization and experimentation programs using Contentful Personalization.
• Personalization solutions you design are:
• measurable and outcome-driven
• performant at enterprise scale
• governed and extensible over time
• Customer engineering teams trust your guidance because you bring deep personalization domain expertise backed by hands-on implementation experience.
• Product and Engineering teams benefit from clear, actionable feedback rooted in real customer implementations.
• Contentful is consistently seen as a credible personalization partner, not just a technology vendor.

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

The application deadline is 05/18/2026

Colorado Salary Statement: The salary range displayed is specifically for those potential hires who will work or reside in the state of Colorado if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD/technology), for example.

Colorado Salary Range: $140,000 - $190,000 

About the opportunity

We are looking for a Data Scientist who will turn data into insights and build models that drive meaningful business outcomes. You will work closely with cross-functional stakeholders to understand problems, design analytical solutions, and deploy data products that scale.

What to expect?

• Collect, clean, and analyze structured and unstructured data.
• Develop predictive models, statistical analyses, and machine learning algorithms.
• Build dashboards, reports, and data visualizations to communicate insights.
• Collaborate with engineering to deploy models into production environments.
• Perform exploratory data analysis (EDA) to identify trends and opportunities.
• Conduct A/B testing and design experiments to measure feature performance.
• Document methodologies and ensure reproducibility of analytical work.
• Contribute to end-to-end machine learning workflows, including model training,  validation, and deployment, working with established tools and patterns and with support from engineering.
• Monitor model performance and data quality, and update models as needed.

What do you need to be successful?

Required

• Bachelor’s or Master’s in Data Science, Computer Science, Statistics, Mathematics, or related field.
• Strong proficiency in Python (pandas, scikit-learn, NumPy).
• Experience using SQL to work with analytical databases and data warehouses.
• Solid understanding of statistical modeling, model evaluation, and experimental methods.
• Familiarity with machine learning techniques (regression, classification, clustering, etc.).
• Hands-on experience building and running machine learning models in production or production-like environments.
• Experience building dashboards with tools like Tableau, or similar.
• Strong analytical and problem-solving skills.
• Ability to balance analytical rigor with practical delivery.
• Excellent communication skills with the ability to translate data insights into business actions.

Preferred    

• Familiarity with workflow orchestration or model lifecycle tools (e.g., Airflow, MLflow) at a practical, working level.
• Implement practical model deployment approaches (e.g., batch inference, scheduled retraining) using existing team tools and patterns.
• Experience with cloud platforms (AWS, or similar).
• Knowledge of ML Ops tools (MLflow, Airflow, or similar).
• Exposure to big data technologies (Redshift, Snowflake).
• Experience working in agile environments.

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

The application deadline is 05/21/2026

Colorado Salary Statement: The salary range displayed is specifically for those potential hires who will work or reside in the state of Colorado if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD/technology), for example.

Colorado Salary: $136,000-$184,000

Guild is hiring a Security Engineer. The Information Security team is looking to add a highly motivated and technically inclined individual to work as a Cloud Security Engineer. We are looking for a candidate that is comfortable working in an exciting and fast paced environment. This individual’s responsibilities will mainly focus on ensuring protection of Guild’s various cloud resources and environments. These efforts will ultimately allow Guild to fulfill its mission while also meeting business objectives and compliance requirements.

As a Security Engineer, you will:

• Identify security issues and risks with Guild’s systems and environments. Develop and execute remediation/mitigation plans that provide long term risk reduction.
• Collaborate with cross-functional engineering teams to integrate and advance security standards within a comprehensive enterprise application security program.
• You will serve as a strategic partner to engineering squads, providing expert guidance on the integration and remediation of findings from SAST, DAST, and SCA tools.
• You will design and enforce robust security architectures across the company’s AWS ecosystem.
• Architect and implement security controls for agentic AI systems, including identity, network, and runtime-level defenses (e.g., sandboxing, policy enforcement).
• Develop comprehensive threat models and conduct realistic threat simulations across Guild's offerings, including LLMs, AI agents, and MCP components.
• Develop and tune security policy within various security tools and platforms (CNAPP, EDR, Email Gateway, Vulnerability Management, SIEM, etc…).
• Maintain SOC-2 compliance and assist with audit/client related requests. Assist with incident response and investigation activities.
• Fulfill regular on-call responsibilities as part of a team rotation.

You are a strong fit for this role if you have:

Required Competencies

• Thorough understanding of Integrated Development Environment (IDE) and Continuous integration / Continuous Delivery (CI/CD) Pipeline tools and processes
• Proven experience with software development methodologies and secure coding practices
• 5+ years of industry experience in security engineering, with meaningful focus on cloud security and application security
• Excellent problem-solving and analytical skills. Strong communication skills, both written and verbal, for collaborating with technical and non-technical teams. 
• Ability to work independently, prioritize tasks, and manage multiple security projects simultaneously.

Preferred Competencies

• Solid understanding of LLMs, AI architecture patterns, machine learning models, and related technologies (e.g., MCP, RAG, agentic frameworks)
• Experience with container security, kernel-level hardening, and modern isolation techniques.
• AWS Certifications

We are committed to equal pay for equal work and believe in compensation transparency. All salary ranges are standardized nationwide and will not vary by region. This role offers a competitive total compensation package, including a base salary of $150,000 - $180,000 and stock options. Compensation offered will be based on a combination of factors such as experience, competencies, and internal equity.

Posting Date: May 6, 2026

About The Role

As .Monks continues to expand our Data & Digital Media capabilities, we are looking for a senior professional to support and grow our services in marketing analytics.

In this role, you will support both ongoing and new engagements by overseeing the delivery of actionable and impactful insights at the intersection of business, site, and paid media data. This position plays a key role in evolving our analytics capabilities while also working closely with client stakeholders to deliver high-quality, scalable solutions.

This is a highly hands-on, client-facing role, with a strong focus on building and maintaining data pipelines, enabling measurement frameworks, and supporting advanced analytics use cases.

Key Responsibilities

• Support analytics delivery across client engagements, ensuring high-quality outputs and actionable insights
• Design, build, and optimize data pipelines and workflows to support reporting, forecasting, and measurement initiatives
• Understand business needs and contribute to the development of cross-channel measurement frameworks
• Partner closely with client stakeholders to translate data into insights and recommendations
• Support test design and analysis to evaluate performance and identify opportunities for improvement
• Contribute to the development of new analytics approaches, tools, and processes
• Identify opportunities to improve efficiency, automation, and data operations
• Collaborate with cross-functional teams (media, strategy, analytics) to deliver integrated solutions

Primary Qualifications

• Bachelor’s or Master’s degree in a quantitative field (e.g., computer science, statistics, applied mathematics, economics, engineering) or equivalent experience
• Strong hands-on experience with SQL and data pipeline development (ETL/ELT)
• Experience working with large datasets in cloud environments (e.g., GCP, Databricks, or similar)
• Working knowledge of Python or similar languages for data processing or automation
• Familiarity with data visualization tools (e.g., Tableau, Datorama, or similar)
• Understanding of digital advertising measurement, reporting, and attribution methodologies
• Strong communication skills, with the ability to translate complex data into clear insights
• Ability to work independently and manage priorities in a fast-paced, ambiguous environment

Nice to Have

• Experience with Databricks, Spark, or distributed data processing frameworks
• Exposure to marketing mix modeling (MMM), forecasting, or advanced measurement techniques
• Experience working in consulting, agency, or embedded client environments
• Familiarity with AI/ML or emerging data applications

Additional Information

• This is an individual contributor role with significant ownership and client exposure
• Success in this role requires a proactive, self-starter mindset and strong stakeholder management skills
• This role supports a West Coast–based team, so candidates should be comfortable collaborating with PST stakeholders and flexing hours when needed (e.g., occasional late afternoon meetings)

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.  

This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company’s then-current RTO policy, which is subject to change from time to time.

#LI-HYBRID

#LI-ZZ1

About Us MGT Insurance is modernizing the insurance industry with cutting-edge web technologies and user-centric design. We are seeking an Agentic Engineer with over 6 years of experience and a deep expertise in AI agents, LLMs, and autonomous system architectures to join our engineering, data science, and insurance product teams in building the next generation of self-directed insurance platform capabilities.

Position Overview As anAgentic Engineer, you will be responsible for designing, developing, and deploying sophisticated AI agent systems that can reason, plan, and execute complex insurance workflows autonomously. This role requires a combination of hands-on AI engineering, technical leadership, and strategic automation development to build intelligent agents that transform how our platform operates and serves customers.

Key Responsibilities

• Agentic System Architecture: Lead the design and implementation of multi-agent systems using LLMs, vector databases, and agent orchestration frameworks to create intelligent, goal-oriented automation.
• Reasoning & Planning Systems: Implement advanced reasoning capabilities including chain-of-thought processing, multi-step planning, and decision trees for complex insurance scenarios.
• Observability & Monitoring: Design comprehensive observability frameworks for agent systems including real-time performance metrics, decision tracing, and behavioral analytics to ensure full visibility into autonomous operations.
• Testing & Quality Assurance: Implement rigorous testing strategies for agentic systems including unit testing for agent components, integration testing for multi-agent workflows, and adversarial testing for edge cases and failure modes.
• Regulatory Compliance & Governance: Establish comprehensive governance frameworks that ensure agent decision-making processes meet insurance regulatory requirements including audit trails, explainability standards, fair lending compliance, and state insurance commission oversight requirements.

Qualifications

• Expertise in LLMs and Agent Frameworks including OpenAI GPT, Anthropic Claude, LangChain, CrewAI, or similar platforms for building autonomous AI systems.
• Strong software engineering background with proficiency in Python, TypeScript, and modern AI/ML deployment patterns including vector databases, embedding systems, and real-time inference.
• Experience with agent architecture patterns including ReAct, function calling, multi-agent coordination, and tool use frameworks for complex workflow automation.

Location: Candidates based in Madison, Wisconsin or San Francisco, California are preferred to facilitate close collaboration with our team.

Who We Are

• Small & Agile: We're a tight-knit engineering team of fewer than 10 people who move fast and make things happen
• High Agency: We operate with autonomy and ownership - everyone acts like a founder and drives meaningful impact
• Action-Oriented: We believe in "see something, do something" - no bureaucracy, just results
• Passionate Builders: We take pride in crafting elegant code, intuitive applications, and solving real problems
• Team First: We genuinely enjoy working together and believe great products come from great relationships
• Quality Focused: We ship code we're proud of and build systems that stand the test of time

What We Offer

• Competitive salary and benefits package.
• Leadership role in pioneering autonomous AI systems in the insurance industry.
• A unique opportunity to build cutting-edge agentic technology that transforms insurance operations.
• A collaborative and forward-thinking work environment at the intersection of AI and insurance.
• Continuous learning and career development opportunities in emerging AI technologies and autonomous system leadership.

Compensation Range: $175,000 – $275,000 annual base salary + bonus + equity (commensurate with experience and dependent on location)   

About the Role:

Gusto is looking for an experienced, hands-on people manager to lead a core Data Science & Analytics team. This role sits at the heart of how we use data — and increasingly AI — to understand, shape, and scale Gusto's products. You’ll both manage a team of data scientists and analysts as well as personally get in-the-weeds to work closely with Product, Engineering, Design, Marketing, Sales, and Finance to deliver insights and frameworks that inform strategy, optimize user experiences, and accelerate business growth.

We're looking for a leader who can balance strategic influence with hands-on craft — someone who can guide senior Gusto leaders through data and AI strategy, coach data scientists on impactful problem solving, and dive in to drive forward statistically rigorous analyses when needed.

Here’s what you’ll do day-to-day:

• Lead and develop a team of data scientists – hire, empower, and coach team members; set a high bar for analytical quality and career growth.
• Shape product and business strategy through data – partner with Product and cross-functional leaders to identify opportunities, prioritize investments, and influence long-term product roadmaps.
• Develop and scale measurement frameworks – define key metrics, design monitoring systems, and ensure product initiatives — including AI-powered features — are rigorously tracked and evaluated.
• Support experimentation and decision-making – support inferential analyses and experimentation (e.g., A/B tests, segmentation, funnel analysis), including designing evaluations for AI and ML-driven systems, ensuring findings are actionable and aligned to strategic goals.
• Partner on AI-powered product development – collaborate with ML Engineering and Product to bring intelligent features to life (personalization, predictions, intelligent automation), ensuring they're grounded in customer insight and measured for real-world impact.
• Balance strategic and hands-on impact – dive deep into data, review and refine analyses, and ensure insights are both technically sound and business-relevant.
• Influence senior leadership – communicate insights and recommendations clearly, framing trade-offs and shaping executive decision-making.

Here’s what we're looking for:

• 10+ years of experience in data science or related fields, with at least 4 years managing and scaling high-performing data science teams.
• Deep expertise in product analytics – experience with user acquisition, activation, retention, engagement, or expansion in SaaS or product-led environments.
• Technical fluency – advanced coding skills, strong statistical reasoning, and familiarity with experimentation frameworks; ability to mentor data scientists on best practices.
• AI product intuition – experience working at the intersection of data science and AI product development; comfort reasoning about model behavior, evaluation design, and the tradeoffs of deploying AI in customer-facing contexts.
• Strategic and business acumen – demonstrated ability to connect insights to product and business goals, and to influence roadmaps through data.
• Executive communication skills – proven experience presenting insights to senior stakeholders, turning complex data into clear and actionable recommendations.
• Cross-functional collaboration – history of working closely with Product, Engineering, and go-to-market teams to drive decisions and deliver impact.
• Hands-on experience with ML applications in product contexts (e.g., personalization, churn prediction, customer segmentation, or LLM-powered features) is strongly preferred.
• Familiarity with multi-product SaaS ecosystems and customer lifecycle analytics is desirable.

Our cash compensation amount for this role is targeted at $217,000 - $265,000 in San Francisco and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

Location: Only SF, Denver, NYC

About the Role:

We’re hiring seasoned engineers to join our teams that work on core platform capabilities, improving our existing systems for extensibility and scalability, and building the future of Gusto's Payroll and Tax systems. As a Gusto Software Engineer at this level, you’ll be guiding projects end-to-end by influencing initial feature specs, understanding how to take existing systems closer to desired end states, executing on projects, and maintaining code that powers core experiences. If you’re interested in building elegant software with far-reaching effects in our modern economy, join us!

About the Team:

Payroll is the beating heart of Gusto’s business. Pay Group (payroll and tax) teams are responsible for the product, ops, and service components Gusto uses to onboard customers, process payrolls, calculate taxes and deductions, pay and file with tax agencies, and maintain compliance on behalf of the customers. The domain is highly complex and offers the opportunity to engage in system design that simplifies this for customers, both internal and external.

Sub- Teams:

• Tax Accuracy: The Tax Accuracy group is responsible for gathering and maintaining the necessary information for us to pay and file taxes accurately and on time for our customers, and consists of multiple teams that cover various parts of the process.
• Ledger: This team is building a payroll ledger to track accrual accounting for payroll-related money movement. This team is starting to support the payroll domain, risk, payments, and accounting. 
• Engine: This team works closely with the payroll compliance team to ensure enablement of compliant pay, such as minimum wage adjustments, regular rate of pay, etc. We enable end-to-end success of payroll processing and working with various domain teams such as tax calculations, tax setup, payments, and more.
• Platform: This team is developing a new platform to be the common interface for interacting with payroll and tax data. The payroll and tax domain is highly complex; our team exists to make it easier for other application teams to interact with the payroll and tax system. We enable application and experience teams to deliver customer value faster by providing a scalable, flexible, performant, and highly understandable platform to integrate with. 

Here’s what you’ll do day-to-day:

• Function as a Technical Lead across multiple teams in Payroll Services, helping us keep engineers unblocked and deliver high-quality work supporting our long-term goals
• Design, build, and test the foundation that supports compliant payroll for millions of people
• Help scale one of the largest Ruby/Rails and TypeScript/React applications in the world
• Collaborate on complex and ambiguous problems with partnerships from Engineering, Product Management, Design, Data Science, Compliance, Operations, and other cross-functional teams
• Mentor and grow fellow engineers working to create holistic and scalable solutions
• Drive the product development process from concept to launch, delivering delightful products that make payroll, taxes, and compliance simple and easy
• Improve the productivity and happiness of our teams with the services, tools, and APIs you build.
• Engage in a highly supportive environment working with others to drive productivity and innovation
• Continuously stay up-to-date with advancements in AI and Machine Learning, applying this knowledge to our projects.

Here’s what we're looking for:

• Successful applicants typically have at least 15+ years of experience
• Able to build maintainable, structured, well-documented code 
• Strong knowledge of data structures, data modeling, and system design
• Experience working across 3+ teams, influencing both product and team direction
• Experience working on platform products which are depended upon throughout the company
• Experience engineering, designing, building and supporting large scale systems in production
• An aptitude in bringing clarity and simplicity to complex problems, communicating technical complexity and facilitating informed tradeoffs to major stakeholders
• Experience operationalizing and scaling large interconnected production systems
• Enthusiasm for a collaborative, test-driven environment
• Experience in complex highly regulated domains
• Examples: HR, Payroll, Taxes, or Compliance 
• Experience using AI tools to build, test, and iterate on products quickly.
• Understanding of how to evaluate AI-driven outputs using clear success criteria.
• A commitment to staying current on emerging backend technologies and AI frameworks and patterns, regularly experimenting with new approaches.
• Willingness to contribute to shared tools or templates that enhance the speed and safety of AI experimentation.

Our cash compensation amount for this role is targeted at $215,000/yr to $252,000/yr in Denver & most remote locations, and $251,000/yr to $295,000/yr for San Francisco, Seattle & New York. Stock equity is additional. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

#LI-DNI

Symmetry Software is part of Gusto. Symmetry is the payroll infrastructure for software & payroll platforms powering the paychecks of over 64 million workers each year. Our fully integrated suite of payroll tax APIs and software tools allows companies to solve tax compliance issues and build applications across the entirety of the payroll process.

What Product Management is like at Symmetry:

• Our Product team is lean, which means you’ll have a high degree of impact and ownership. We believe in smaller, empowered teams that move quickly with less overhead. You’ll pair sharp product judgment with fluency in AI tools — automating what slows teams down and amplifying what makes them creative and high-performing.
• We’re builders. Lines between roles are intentionally blurred, and our PMs do whatever it takes to deliver outcomes. You’ll prototype, automate, design, and ship — using AI as your co-builder to turn problems into durable solutions that deliver customer value with urgency and care.
• We’re here to serve the payroll industry. Our technology impacts over 64 million paychecks in the US each year. We’re driven by deep customer empathy and a relentless desire to innovate.
• We’re comfortable with change. Our environment moves fast, and PMs here thrive in ambiguity — blending curiosity, experimentation, and AI-native craft to shape how products (and work itself) are built at Symmetry.

About the Role:

We’re  looking for a product leader to own the development of new business lines for payroll tax products. This 0 to 1 focused role will have broad autonomy to lead discovery, strategy, and execution for new products in payroll tax. This role will be expected to deliver durable business outcomes such as new revenue and existing revenue retention.

The right person will be an activator who couples strength in execution with a strong sense of ownership to delivering market success. You will work directly with a new product development engineering team and focus on AI-powered solutions that redefine our market.

Here’s what you’ll do day-to-day:

• Ownership: Lead long-term strategy. This includes spearheading research, defining customer and market positioning, shaping product direction, and identifying the investments and internal capabilities required for success. You’ll translate this strategy into actionable guidance that informs company-wide planning and execution.
• North Star: Focus the organization on what matters most. Identify the highest-leverage investments and decisions across functions that will unlock long-term success, reduce ambiguity, and ensure that Symmetry is building toward a market-winning payroll tax offering.
• Collaborate: Partner across Product, Engineering, Compliance, Legal, CX, Marketing, Sales, and Operations to uncover insights, validate assumptions, and build alignment. You’ll help create shared context and ensure cross-functional teams are set up to deliver.
• Accelerate Execution: Step into the highest-priority gaps that stand in the way of success. Whether it’s clarifying requirements, kicking off strategic initiatives, or embedding with a team to drive execution, you’ll help advance the work by creating clarity, building momentum, and enabling others to succeed.

Here’s what we're looking for:

• 6+ years of hands-on product management experience, with 3+ years of success building 0 to 1 products
• Proven track record of building 0 to 1 products with demonstrable evidence of:
  • Deep product discovery skills with the ability to navigate a high degree of ambiguity
  • Building 0 to 1 products in highly regulated categories
  • Experience building personalized products or optimized workflows using Gen AI/ ML
  • Extraordinary cross-functional collaborator and leader
• Ability to identify emerging opportunities and industry trends, build business cases, define product vision and strategy, and create a supporting roadmap that rapidly iterates into delivering on your vision
• Entrepreneurial, passionate about our mission, and have deep empathy for our customers
• Built products at scale with good UX that users love
• Bonus points for experience with payroll / payroll tax

Compensation Details

Our cash compensation amount for this role is targeted at $143,000/yr to $179,000/yr in Scottsdale & most remote locations, and $184,000/yr to $230,000/yr for San Francisco & New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

What Product Management is like at Symmetry:

• Our Product team is lean, which means you’ll have a high degree of impact and ownership. We believe in smaller, empowered teams that move quickly with less overhead. You’ll pair sharp product judgment with fluency in AI tools — automating what slows teams down and amplifying what makes them creative and high-performing.
• We’re builders. Lines between roles are intentionally blurred, and our PMs do whatever it takes to deliver outcomes. You’ll prototype, automate, design, and ship — using AI as your co-builder to turn problems into durable solutions that deliver customer value with urgency and care.
• We’re here to serve the payroll industry. Our technology impacts over 64 million paychecks in the US each year. We’re driven by deep customer empathy and a relentless desire to innovate.
• We’re comfortable with change. Our environment moves fast, and PMs here thrive in ambiguity — blending curiosity, experimentation, and AI-native craft to shape how products (and work itself) are built at Symmetry.

About the Role:

We’re  looking for a product leader to own the development of new business lines for payroll tax products. This 0 to 1 focused role will have broad autonomy to lead discovery, strategy, and execution for new products in payroll tax. This role will be expected to deliver durable business outcomes such as new revenue and existing revenue retention.

The right person will be an activator who couples strength in execution with a strong sense of ownership to delivering market success. You will work directly with a new product development engineering team and focus on AI-powered solutions that redefine our market.

Here’s what you’ll do day-to-day:

• Ownership: Lead long-term strategy. This includes spearheading research, defining customer and market positioning, shaping product direction, and identifying the investments and internal capabilities required for success. You’ll translate this strategy into actionable guidance that informs company-wide planning and execution.
• North Star: Focus the organization on what matters most. Identify the highest-leverage investments and decisions across functions that will unlock long-term success, reduce ambiguity, and ensure that Symmetry is building toward a market-winning payroll tax offering.
• Collaborate: Partner across Product, Engineering, Compliance, Legal, CX, Marketing, Sales, and Operations to uncover insights, validate assumptions, and build alignment. You’ll help create shared context and ensure cross-functional teams are set up to deliver.
• Accelerate Execution: Step into the highest-priority gaps that stand in the way of success. Whether it’s clarifying requirements, kicking off strategic initiatives, or embedding with a team to drive execution, you’ll help advance the work by creating clarity, building momentum, and enabling others to succeed.

Here’s what we're looking for:

• 6+ years of hands-on product management experience, with 3+ years of success building 0 to 1 products
• Proven track record of building 0 to 1 products with demonstrable evidence of:
  • Deep product discovery skills with the ability to navigate a high degree of ambiguity
  • Building 0 to 1 products in highly regulated categories
  • Experience building personalized products or optimized workflows using Gen AI/ ML
  • Extraordinary cross-functional collaborator and leader
• Ability to identify emerging opportunities and industry trends, build business cases, define product vision and strategy, and create a supporting roadmap that rapidly iterates into delivering on your vision
• Entrepreneurial, passionate about our mission, and have deep empathy for our customers
• Built products at scale with good UX that users love
• Bonus points for experience with payroll / payroll tax

Compensation Details

Our cash compensation amount for this role is targeted at $143,000/yr to $179,000/yr in Scottsdale & most remote locations, and $184,000/yr to $230,000/yr for San Francisco & New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. 

About the Role:

At Gusto, we believe the next frontier of competitive advantage is the intelligence of the systems that power our people. As the Sr Principal PM, AI Workforce Enablement, you are the architect of the "Superhuman Agent." You won't just manage tools; you will redefine the relationship between Gusto’s workforce and technology. You are responsible for evolving our internal foundation into a proactive, agentic platform where AI handles the cognitive load, allowing our Go-to-Market (GTM) and Service teams to focus on high-value human connection. You will lead the transition of our legacy ecosystem into a future-state "exoskeleton" that empowers every employee to deliver an unparalleled, frictionless experience to our customers.

Gusto is looking for a hands-on builder to take on this leadership mantle as we rethink how people grow in an AI-native company. This role is not just about designing the systems that shape growth day-to-day, but the actual mechanics of work. You will be responsible for building new architecture and tearing down what no longer serves us. The goal is simple but hard: make growth obvious, continuous, and hard to avoid.

We’re looking for a leader who can balance strategic influence with hands-on craft—someone who can guide senior Gusto leaders through AI-native data strategy, coach data scientists on impactful problem solving, and dive in to drive forward statistically rigorous analyses when needed.

About the Team:

The Unified Service Platform (USP) product team serves as Gusto’s architectural backbone, responsible for engineering the intelligent, AI-driven ecosystem that brings GTM and Service operations into alignment. Our mission is to replace fragmented point solutions with a singular System of Intelligence—a digital exoskeleton that strips away administrative friction so our teams can focus on what matters most: our customers. Through our commitment to a #OneGusto experience, we provide the platform that ensures every internal interaction is backed by the full context of the customer journey.

We are an AI-native team building "agentic" solutions that transform how work happens. By mastering the AI-Human-AI loop, we own the delivery of a seamless, cross-channel journey across voice, chat, and email. Our goal is to ensure that our internal technical excellence creates an instant, easy and effortless experience for every business Gusto serves.

Here’s what you’ll do day-to-day:

• Architect of the "System of Intelligence": Lead the evolution of Gusto’s internal workspace by integrating 1P (first-party) and 3P (third-party) systems into a unified platform. Transform CRM into a proactive platform that anticipates agent needs and triggers automated workflows across the entire tech stack before manual intervention is required.
• Design the Future-State Agent Experience: Build the product mechanics for a symbiotic "AI-Human-AI" loop, where intelligent systems handle high-volume tasks and documentation, elevating our human experts to focus on high-value, high-empathy problem solving.
• Engineer the "Digital Exoskeleton": Ship real-time, context-aware assistance and agentic tools that eliminate cognitive load, enabling every Gustie to operate with "superhuman" speed and accuracy across voice, chat, and email.
• Lead with Technical Craft: Partner with Data Science and Engineering to bridge the gap between high-level AI strategy and rigorous execution, ensuring our models drive measurable gains in both agent productivity and employee sentiment.

Here’s what we're looking for:

• Visionary Product Leadership: 10+ years of experience in product management, with a proven track record of leading high-stakes internal platforms, RevOps, or Service technology at scale.
• AI Builder & Strategist: AI/ML specialist with deep expertise in LLMs and agentic workflows, building and shipping custom AI solutions that transform how teams work and scale.
• Systems Thinker: You see the "big picture" of how data and tools flow across a company and can architect solutions that solve for the end-to-end customer journey.
• Change Agent: Experience leading large-scale organizational transformations or merging complex technical teams into a unified organization.
• Human-Centric Empathy: A passion for "the work of work"—you are obsessed with making tools that employees love to use and that remove the friction from their daily lives.
• Strategic Execution: The ability to balance long-term 18-month missions (like #OneGusto) with the immediate tactical needs of a fast-growing GTM engine.

If you don't think you meet all of the criteria above but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team.

Our cash compensation amount for this role is $204,000/yr to $238,000/yr in Denver & most major metro locations, and $240,000/yr to $280,000/yr for San Francisco, Seattle & New York. Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above.

Our mission is to create a world where work empowers a better life, and it starts right here at Gusto. That’s why we’re committed to building a collaborative and inclusive workplace, both physically and virtually. Learn more about our Total Rewards philosophy. 

About the Role:

We're looking for a people leader who is ready to step into a high-impact role at a pivotal moment for Gusto HR Partners. This isn't a role for someone who wants to manage a steady-state team - it's for a builder. You'll get to help shape how leadership works within Gusto HR, develop a team of senior HR consultants, and drive the operational and service excellence that defines what great looks like as we scale.

You'll bring a systems-thinking mindset, a coaching orientation, and the credibility to earn trust with a high-caliber team. Whether you're coming from inside Gusto or from the outside, you're someone who leads with authenticity, leans into hard conversations, and thrives in ambiguity.

About the Team:

The Gusto HR Partners team is a group of senior HR consultants who serve as embedded, fractional HR leaders for the small businesses we support — bringing strategic guidance, operational expertise, and a deeply human touch to every client relationship. We're at an inflection point: scaling our service model, pioneering AI-native ways of working, and redefining what world-class fractional HR looks like for the 400,000+ businesses on the Gusto platform. As a leader on this team, you'll join a tight-knit, mission-driven group that prizes craft, client outcomes, and continuous evolution — and you'll help shape the playbook for how we grow from here.

Here’s what you’ll do day-to-day:

• Lead and develop a team of senior HR consultants, coaching them to exceed expectations, building trust through authenticity, and being a hands-on player-coach when needed
• Drive performance across client satisfaction, retention, and consultant productivity metrics in a high-growth environment
• Scale operations through process optimization, AI integration, and technology enablement to improve consultant-to-client efficiency
• Partner with product teams to pioneer AI-native HR services that augment human expertise and create new service possibilities
• Navigate ambiguity and build scalable systems from the ground up, helping to write the playbook 
• Coach and develop your team
• Champion change management: build new processes, drive adoption, and iterate quickly in a fast-moving environment
• Collaborate with peer leaders on hiring strategy, process innovation, and cross-functional initiatives
• Shape organizational strategy as we expand service offerings and redefine what's possible in fractional HR service

Here’s what we're looking for:

• Minimum 8+ years of progressive HR or related professional services experience
• Early people leadership experience or strong evidence of leading without authority (mentoring, onboarding, influencing peers, or owning team initiatives) and scaling teams
• Experience operating in client-facing environments (HR, consulting, or service delivery models)
• Demonstrated ability to manage and prioritize across multiple stakeholders or clients
• Evidence of contributing to or driving process improvements, team initiatives, or new ways of working
• Strong track record of delivering high-quality work, building trust, and maintaining client satisfaction
• Experience collaborating cross-functionally and contributing to team-level outcomes, not just individual success
• Experience partnering with Product, Ops, and GTM to innovate and scale
• Familiarity with AI/ML applications in professional services or HR
• AI and technology fluency with a vision for how emerging tools can transform professional services delivery

Compensation

Our cash compensation amount for this role is targeted at $127,000/yr - $157,000/yr in Denver, and $154,000 - $191,000 for San Francisco and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

Small business owners trust Gusto with something fundamental: making sure their people get paid, on time, every time. As a Principal Data Scientist on the Payments team, you'll sit at the intersection of financial infrastructure and data science — translating the complexity of a high-scale payments ecosystem into the insights and models that shape how we build, operate, and improve our payments products. 

In this role you will work closely with our Product, Engineering, Design, Finance, and other Data teams to become an expert in the data for your domain, define and track metrics that help us understand our business performance, and dive deep into our payments data to deliver insights and answer questions. You’ll also integrate AI-assisted practices to accelerate analysis, enhance rigor, and expand the reach of insights across Gusto. 

This is a role for someone who's equally comfortable diving into ledger-level transaction data and standing in front of a payments engineering team to influence architecture decisions. If you want your work to directly protect and improve the financial lives of hundreds of thousands of small businesses, this is the role.

Here’s what you’ll do day-to-day:

• Own payments intelligence end-to-end: Design and maintain measurement frameworks for payment success rates, failure root causes, retry strategies, and settlement timing — becoming the authoritative source of truth for payments health across the org.
• Partner with payments engineering: Embed with backend engineering teams to understand infrastructure constraints and data availability, translate that knowledge into well-scoped experiments, and influence roadmap prioritization with data-backed recommendations.
• Drive experimentation at scale: Design and analyze A/B tests and quasi-experiments across payment flows — including retry logic, routing decisions, and failure recovery — ensuring statistical rigor even in low-conversion, high-variance payment environments.
• Build predictive models: Develop and deploy models for payment failure prediction, risk scoring, and anomaly detection that operate at Gusto's transaction volume, partnering with Machine Learning Engineers and Product Engineers on productionization and monitoring.
• Build AI-native data products: Go beyond using AI to go faster; build data products and automated workflows with AI as a core component. Know what "good" looks like for a clustering model or automated workflow, when to trust the output, when to challenge it, and how to build guardrails that let the team scale AI use responsibly in a regulated financial context.
• Own the business narrative: Be the person payments product and engineering leadership calls before an exec review, not after. Comfortable defending methodology on ARR projections, CX attribution, and cost savings in a room with skeptics. Translate nuanced statistical results and model outputs into clear, actionable narratives for payments engineers, product managers, finance partners, and executive leadership.

Here’s what we're looking for:

• 10+ years of experience in Data Science or a closely related quantitative role at a product-focused software company, with meaningful exposure to payments, fintech, or financial infrastructure.
• Deep payments domain knowledge: Hands-on experience with payments infrastructure: ACH, card networks, bank integrations, settlement flows, or equivalent, with a strong intuition for how backend systems shape data availability and quality.
• Strong SQL and Python skills, with experience querying large-scale transactional datasets and building reproducible analytical pipelines.
• Proven experimentation and causal inference expertise: Ability to design rigorous experiments in challenging payment contexts (rare events, high variance, non-stationarity) and communicate trade-offs clearly.
• AI-native mindset: Has built data products and analytical workflows with AI as a core component, not just used AI to go faster. Knows what "good" looks like for a clustering model or automated workflow, when to trust the output, when to challenge it, and how to build guardrails that scale AI use responsibly in a financial context.
• Cross-functional influence: Track record of collaborating with and influencing backend engineers and technical stakeholders, not just product and business partners.

Our cash compensation amount for this role is targeted at $184,000/yr - $210,000/yr in Denver, and $217,000/yr - $250,000 for San Francisco and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

YOUR MISSION

AI-assisted work is the biggest force multiplier available to a company at True Anomaly's stage. It accelerates how we build, how we deliver, and how we scale. We are investing in AI as a core operating capability, not a side experiment, and this role exists to help make that investment real. 

As a Senior AI Platform Engineer, you will build the infrastructure, tooling, and integrations that put AI directly into the hands and workflows of every team across the company. This is not a research role. It is a building role. You will ship capabilities that engineers, program managers, operators, and business teams use every day to move faster and produce better work. 

The scope is broad by design. You may be standing up on-premises GPU infrastructure one week, building connectors between AI models and internal systems the next, and developing a custom application for a specific business workflow after that. You will contribute to platform-level technical decisions about AI providers, tools, and architectures. You will also help build and deliver AI training and enablement for the company, including office hours, brown bags, and hands-on resources. 

This role reports to the Chief Security Officer and works across every function. You will have meaningful autonomy, direct visibility to executive leadership, and the opportunity to shape how a fast-growing defense technology company operates with AI. 

RESPONSIBILITIES

• Build and maintain AI platform infrastructure: API integrations, model access pipelines, system connectors (MCP, tool use), and on-premises compute environments as needed 
• Develop custom AI-powered applications, workflows, and integrations that connect frontier models to internal systems such as project management, documentation, communications, and operational tools 
• Contribute to technical evaluation and selection of AI providers, tools, and platforms, helping inform build-vs-buy decisions based on capability, compliance requirements, and speed to value 
• Help design and deliver AI training and enablement programs for the company, including hands-on workshops, office hours, documentation, and shared resources that build real fluency across teams 
• Partner with engineering, security, and IT teams to ensure AI deployments meet government security and compliance requirements across data classification levels 
• Stay current with the rapidly evolving AI landscape and surface new models, tools, and capabilities that could accelerate the company 

QUALIFICATIONS

• Software engineering background with experience building and shipping production systems, ideally in Python, TypeScript, or similar languages common in AI/ML tooling 
• Hands-on experience with large language model APIs, including prompt engineering, tool use, retrieval-augmented generation (RAG), or agent frameworks 
• Experience building integrations between software systems using APIs, webhooks, data pipelines, or authentication flows 
• Ability to work across a broad technical surface area, moving between infrastructure, application development, and platform work as priorities require 
• Good communication skills and ability to explain technical AI concepts to non-technical audiences through training, documentation, or direct support 
• Comfortable operating with autonomy in a fast-paced environment where priorities shift and the playbook is being written in real time 
• Ability to maintain or obtain TS//SCI clearance 

PREFERRED SKILLS AND EXPERIENCE

• Experience deploying AI or ML systems in government, defense, or regulated environments with security and compliance constraints 
• Familiarity with government cloud environments (AWS GovCloud, Azure Government) and authorization frameworks (FedRAMP, IL4/IL5) 
• Experience with on-premises GPU infrastructure (NVIDIA, CUDA) for model hosting or fine-tuning 
• Background in developer tooling, platform engineering, or internal tools teams at high-growth technology companies 
• Experience building knowledge retrieval systems, embedding pipelines, or enterprise search infrastructure 
• Currently hold or have previously held a U.S. security clearance at any level 

COMPENSATION

• Base Salary: $170,000-$275,000
• Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave 

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience. 

ADDITIONAL REQUIREMENTS

• Work Location—while we observe a hybrid work environment, you will need to be onsite as the business needs require. On an average week, you can expect to spend at least 3 days per week in office.
• Work environment—the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
• Physical demands—the physical demands of the job, including bending, sitting, lifting and driving.

This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Hybrid

YOUR MISSION 

True Anomaly is becoming an AI-first company. Every function, from engineering to manufacturing to business operations, is expected to work with AI as a core part of their workflow. There is no AI engineering team today, no internal model hosting infrastructure, and no agent platform. As Senior Manager of AI Engineering, you will build all of it. You will own the AI platform: model hosting, agent frameworks, enterprise AI tooling, and the infrastructure that connects AI capabilities to the systems where work happens. You will also own AI enablement across the company, embedding with teams to identify high-value use cases and deploying the tools and patterns that make adoption stick. This is a player-coach role with full executive sponsorship. You will be making architecture decisions and shipping code on day one while building a team of 8 engineers around you. 

RESPONSIBILITIES 

• Build and lead the AI Engineering team from zero: 8 engineers spanning AI platform, AI infrastructure, and enterprise AI tooling, with an emphasis on recruiting people who can ship in ambiguous environments with minimal direction 

• Own the AI platform architecture: model hosting (cloud and on-premises GPU compute), agent frameworks, API gateways, and the platform layer that connects AI capabilities to the tools and systems where work happens 

• Build and deploy enterprise AI tooling across the company: knowledge platforms (Glean or equivalent), coding assistants, MCP connectors, and AI-powered workflows embedded in collaboration and engineering tools 

• Design and build the agent infrastructure that moves the company from standalone AI tools to embedded and autonomous AI: agents that monitor, analyze, recommend, and act within company systems with appropriate human oversight 

• Drive AI enablement across the organization: training, embedding with teams, supporting a distributed champion model, and building the reusable patterns and documentation that make adoption self-sustaining 

• Partner with Data Engineering (critical-path dependency for the AI platform), Infrastructure Engineering (compute and networking), and Cybersecurity (compliance and data handling) to deliver a platform that is secure, scalable, and production-ready 

QUALIFICATIONS 

• 8+ years of experience in software engineering, ML engineering, or AI infrastructure, with 3+ years building and leading engineering teams 

• Hands-on experience building AI/ML infrastructure: model serving, GPU compute management, inference pipelines, and the platform layer that production AI systems run on 

• Experience building agent systems or AI-powered automation that interacts with external systems via APIs, manages state, and operates with appropriate human oversight 

• Track record of hiring and developing high-performing engineering teams in fast-paced environments 

• Strong understanding of current AI tooling: frontier models, enterprise AI platforms, coding assistants, knowledge systems, and how they fit together in a production environment 

• Ability to work across technical and non-technical stakeholders to identify AI use cases, set priorities, and deliver capabilities that people actually adopt 

PREFERRED SKILLS AND EXPERIENCE 

• Experience deploying AI systems in defense, government, or regulated environments with data handling requirements (CUI, ITAR, FedRAMP, or DoD Impact Levels) 

• Background with enterprise AI platforms (Anthropic Claude, OpenAI, Google Gemini) including API management, rate limiting, cost controls, and multi-provider strategies 

• Experience with on-premises GPU infrastructure for model hosting and inference where cloud-only is not an option 

• Familiarity with knowledge management platforms (Glean or similar) and experience connecting them to enterprise data sources 

• Prior experience driving AI adoption at a company where AI fluency was treated as an organizational competency, not just an engineering initiative 

• Active U.S. security clearance at any level 

COMPENSATION  

• Base Salary:  Long Beach - $165,000 to $230,000, Denver - $160,000 to $220,000

• Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave 

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education and experience. 

ADDITIONAL REQUIREMENTS 

• U.S. citizenship required; clearance eligibility required; active clearance at any level preferred 

• Work Location: this role will be fully onsite at our facilities in Centennial, CO or Long Beach, CA  

• Work environment is in a standard office, working at a desk or in a production factory. 

• Physical demands may include frequent standing, sitting, walking, bending, and lifting or carrying items up to 20lbs. 

This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite

To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (IT 

1. AR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. 

We value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. True Anomaly is committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, maternity or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. 

YOUR MISSION

AI-assisted work is the biggest force multiplier available to a company at True Anomaly's stage. It accelerates how we build, how we deliver, and how we scale. We are investing in AI as a core operating capability, not a side experiment, and this role exists to make that investment real. 

As a Staff AI Platform Engineer, you will be one of the first hires to build the infrastructure, tooling, and integrations that put AI directly into the hands and workflows of every team across the company. This is not a research role. It is a building role. You will ship capabilities that engineers, program managers, operators, and business teams use every day to move faster and produce better work. 

The scope is broad by design. You may be standing up on-premises GPU infrastructure one week, building connectors between AI models and internal systems the next, and developing a custom application for a specific business workflow after that. You will make platform-level technical decisions about which AI providers, tools, and architectures to adopt. You will also own AI training and enablement for the company, running office hours, brown bags, and building the resources that help people get real value from these tools. 

This role reports to the Chief Security Officer and works across every function. You will have significant autonomy, direct access to executive leadership, and the opportunity to define how a fast-growing defense technology company operates with AI. 

RESPONSIBILITIES

• Build and maintain AI platform infrastructure: API integrations, model access pipelines, system connectors (MCP, tool use), and on-premises compute environments as needed 
• Develop custom AI-powered applications, workflows, and integrations that connect frontier models to internal systems such as project management, documentation, communications, and operational tools 
• Own technical evaluation and selection of AI providers, tools, and platforms, making build-vs-buy decisions based on capability, compliance requirements, and speed to value 
• Design and deliver AI training and enablement programs for the company, including hands-on workshops, office hours, documentation, and shared resources that help teams build real fluency 
• Partner with engineering, security, and IT teams to ensure AI deployments meet government security and compliance requirements across data classification levels 
• Stay current with the rapidly evolving AI landscape and bring informed recommendations on new models, tools, and capabilities that could accelerate the company 

QUALIFICATIONS

• Strong software engineering background with experience building and shipping production systems, ideally in Python, TypeScript, or similar languages common in AI/ML tooling 
• Hands-on experience with large language model APIs, including prompt engineering, tool use, retrieval-augmented generation (RAG), and agent frameworks 
• Experience building integrations between AI systems and enterprise platforms (APIs, webhooks, data pipelines, authentication flows) 
• Demonstrated ability to work across a broad technical surface area, context-switching between infrastructure, application development, and platform architecture 
• Strong communication skills and ability to translate technical AI concepts for non-technical audiences through training, documentation, and direct support 
• Self-directed and comfortable operating with high autonomy in a fast-paced environment where priorities shift and the playbook is being written in real time 
• Ability to maintain or obtain TS//SCI clearance 

PREFERRED SKILLS AND EXPERIENCE

• Experience deploying AI or ML systems in government, defense, or regulated environments with security and compliance constraints 
• Familiarity with government cloud environments (AWS GovCloud, Azure Government) and authorization frameworks (FedRAMP, IL4/IL5) 
• Experience with on-premises GPU infrastructure (NVIDIA, CUDA) for model hosting or fine-tuning 
• Background in developer tooling, platform engineering, or internal tools teams at high-growth technology companies 
• Experience building knowledge retrieval systems, embedding pipelines, or enterprise search infrastructure 
• Currently hold or have previously held a U.S. security clearance at any level 

COMPENSATION

• Base Salary: $200,000 - $330,000
• Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave 

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience. 

ADDITIONAL REQUIREMENTS

• Work Location—while we observe a hybrid work environment, you will need to be onsite as the business needs require. On an average week, you can expect to spend at least 3 days per week in office.
• Work environment—the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
• Physical demands—the physical demands of the job, including bending, sitting, lifting and driving.

This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Hybrid

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time.

About the role:

As the Lead for the Partnerships team, you will be responsible for leading a team of Account Managers and Success Managers supporting Enova’s Small Business (SMB) ISO (Independent Sales Organizations) Sales Channel. This role will focus on day-to-day team management, pipeline oversight, partner engagement, people development, and execution against channel goals.

The Team Lead will serve as a key point of support for the team, helping drive accountability, improve partner experience, strengthen sales processes, and ensure consistent execution across the ISO book. This person will work closely with Business Development, Sales Leadership, Operations, and other cross-functional partners to identify opportunities, remove blockers, manage escalations, and support continued channel growth.

Responsibilities:

• Manage the day-to-day performance and execution of Account Managers and ISO Success Managers across OnDeck Products. 
• Drive accountability to monthly sales targets, quotas, pipeline goals, and key performance metrics.
• Support team members with pipeline management, partner follow-up, policy questions, process guidance, and production needs.
• Monitor daily, weekly, and monthly funnel metrics at both the team member and ISO partner level to identify trends, risks, and growth opportunities.
• Lead team huddles, participate in sales meetings, and provide updates in leadership meetings as needed.
• Coach team members through regular feedback, performance check-ins, development conversations, and employee assessments.
• Partner with Business Development to support partner strategy, strengthen ISO relationships, and maximize activity across key accounts.
• Own and manage escalations to Operations, Underwriting, Fraud, and other internal teams to remove blockers and improve partner/customer experience.
• Roll out key product, process, policy, and HR-related updates to the team, ensuring clear communication and adoption.
• Optimize partner coverage and book management across Account Managers and ISO Success Managers.
• Maintain a strong sales culture built on accountability, urgency, teamwork, commitment, and partner success.
• Identify process gaps, partner friction points, and business opportunities that can support continued ISO channel growth.
• Serve as a subject matter expert on ISO partner management, relationship building, compliance expectations, and sales process execution.

Requirements:

• Bachelor’s degree required.
• 4+ years of experience in sales, account management, partner management, business development, or a related revenue-focused role.
• Experience in SMB lending, financial services, or the ISO landscape is strongly preferred.
• Proven track record of driving sales performance, managing partner relationships, and exceeding revenue or production targets.
• Expert understanding of consultative sales, pipeline management, and retention strategies, with the ability to work cross-functionally with leadership stakeholders.
• Exceptional communication, business acumen, and the ability to operate with urgency in a fast-paced environment.
• Proven ability to motivate and influence a team; previous people management experience is preferred. but not required.
• Strong organizational, communication, and presentation skills.
• Proficiency in pipeline management and CRM/reporting tools (Salesforce, Excel, Tableau, or MicroStrategy).

Compensation:

The budgeted annual base salary range for this position is $80,000 to $95,000. Actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the range shown.This role qualifies for additional compensation through a performance-based incentive plan. The On-Target Earnings (OTE), which includes base salary, target bonus performance at 100% attainment, and long term incentive in the form of restricted stock units, is $160,000 to $180,000. Please note that incentive compensation is not guaranteed and is dependent on achieving defined performance metrics. All full-time employees are eligible to participate in Company benefits, described in more detail here.

#BI-Hybrid    #LI-Hybrid #LI-EN1

What You'll Do 

1. Design and implement containerized microservices within an AWS environment (Lambda, ECS)
2. Lead the design of relational database schemas (Postgres), prioritizing query performance engineering and indexing strategies to handle large, readily available SDA datasets
3. Own the end-to-end feature development and integration of streaming and batch ETL pipelines
4. Familiarity with deploying ML models in production and adding instrumentation to monitor model performance
5. Help with architecture design and defining technical direction
6. Mentor and help develop other less experienced engineers 

What We Value:

1. Strong ownership mentality – you’ll lead technical execution and ensure your features make it from development to production
2. Accountable – The team knows they’ll be able to depend on you
3. Curiosity – We are solving the hardest problems in space and want to hear everyone’s voice to ensure we’re always innovating
4. Leadership – You will be on a small team and will be empowered to help grow the culture and influence technical direction 

Your Ideal Background:

Required:

1. 5+ years of full-time software engineering experience
2. Experience working in the defense/space industry
3. Comfortable working in a small, fast-paced Agile environment
4. Strong communication skills and ability to execute under uncertainty
5. Familiarity with one or more of the following: Machine Learning, SDA, Backend Development
6. Proficiency in Linux, Python, SQL, Docker, and AWS
7. Eligible to obtain and maintain an active U.S. security clearance 

Nice to Have: 

1. Experience instrumenting microservices with Observability (we use the LGTM stack)
2. Comfortable leading algorithm development across different SDA data modalities (EO, Orbital, RF, etc.) to solve problems such as anomaly detection, pattern-of-life modeling, or maneuver detection 

Compensation and Benefits:  

Your base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.  The anticipated salary range for this role is $150,000 - $190,000 annually.

Base salary is just one part of your total rewards package at Katalyst. You will also be eligible for long-term incentives, in the form of the Employee Stock Option and Equity Plan, as well as a relocation bonus and other discretionary bonuses. You will also receive access to comprehensive medical, vision, and dental coverage, and unlimited Paid Time Off.

At Katalyst our work on projects involving the U.S. Department of Defense requires adherence to International Traffic in Arms Regulations (ITAR), 22 C.F.R. Parts 120-130, which requires compliance with U.S. export laws before allowing employees to perform certain positions. Currently, our available roles necessitate access to ITAR-controlled information, and as a result, Katalyst would have to ensure any non-US person is authorized access to ITAR information before the commencement of employment. We are committed to equal employment opportunities and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

*remote work will require an exception from the hiring team

We are looking for a Manager, Customer Success Engineering (AI & Cloud Support) who is passionate about delivering exceptional support experiences and building high-performing teams.

As a Manager, CSE (AI & 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 “white-glove” experiences for strategic customers.

What You’ll Do:

Team Leadership & Development

• Lead, hire, train, mentor and develop a high-performing team of Customer Success Engineers (CSEs), driving accountability, performance, and career growth
• Establish performance metrics (KPIs/SLAs) and conduct regular 1:1s, performance reviews, and career development planning.
• Own end-to-end support operations, including queue management, escalations, and shift planning to ensure consistent 24x7 coverage.
• Drive improvements in key support metrics such as CSAT, response times, resolution times, and overall support quality.
• Build and strengthen technical expertise within the team across core areas such as Kubernetes (DOKS), Databases, Compute, and AI/ML workloads.
  
  

Strategic Customer Support

• 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.
• Design and implement customized support plans, SLAs, and escalation pathways tailored to the needs of strategic accounts.
• 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.
• Proactively identify risks and opportunities within strategic accounts to improve customer experience, adoption, and retention.

Technical & Cross-Functional Operations

• 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.
• Own and continuously improve escalation protocols between AI/ML Support and CloudOps, Infrastructure Engineering, and Product — including Jira escalation routing, Sev1 bridge management, and post-incident documentation.
•  Own the development and maintenance of SOPs, escalation runbooks, HVC support playbooks, and knowledge base content — treating documentation infrastructure as a core operational lever for team scalability.
• Contribute to the vision for AI and automation within support—building intelligent tooling and driving the team toward an automation-first model to improve efficiency, scalability, and customer experience.
• Foster a culture of continuous learning, ensuring the team stays ahead of evolving cloud technologies, AI/ML frameworks, and industry trends.

Key Metrics:

• Customer Satisfaction (CSAT) for strategic accounts
• Time to Response and Resolution (TTR) for strategic customers
• Tier 1 resolution rate vs. escalation rate
• Time-to-escalation and engineering handoff SLA adherence
• SLA adherence and escalation response times
• Support productivity and quality (QA scores)
• Post-incident documentation completion rate

What You’ll Add to DigitalOcean:

• 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.
• Leadership: 2+ years of people management experience leading technical, customer-facing teams, preferably in a high-growth, post-acquisition, or rapidly scaling environment.
• 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.
• Coding/Integration: Proficiency in reading and debugging code (Python preferred) and troubleshooting RESTful APIs and cloud architecture.
• 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.
• Problem-Solving: Proven ability to remain calm under pressure and de-escalate high-stakes situations with enterprise clients.

Preferred Qualifications:

• Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and AI toolchains (e.g., LangChain, Hugging Face).
• Experience with major cloud platforms (AWS, Google Cloud, Azure) and their native AI/ML services.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
• ITIL or equivalent service management certification

Compensation Range: 

• $125,000 - $153,000

*This is a remote role

JR: 2026-7692

#LI-Remote

Senior Full-Stack Engineer II - AI/MLDo the best work of your career at DigitalOcean. Join a high‐caliber community building the simplest, most scalable cloud on the market. If you think big, move fast, and thrive in a bold, high‐growth environment, you’ll fit right in. We win together—learning, having fun, and delivering real impact for the dreamers and builders we serve.We’re hiring a Senior Full-Stack Engineer to build end‐to‐end features that make accelerated compute simple and accessible for everyone.The AI Application Platform team builds AI and agentic applications across modalities—LLMs, images, audio, and video—on top of DigitalOcean’s high‐performance inference engine. Our mission is to keep the latest state‐of‐the‐art models available at peak performance. We’re moving fast to build the next generation of AI applications and platform workflows at DigitalOcean.

What You’ll Be Doing:

• Own a technical area by providing technical leadership for a teamDrive large cross-functional projects independently to completion
• Work primarily in Python, and Go to build and scale AI application services such as ADK, agentic tools
• Maintain and develop APIs, MCPs and SDKs
• Collaborate on design and UXBuild and scale products to achieve operational excellenceIndependently ship product features from planning to launch to maintenance with high autonomy
• Partner with SRE/DevOps on reliability, observability, incident response, and deployment workflows
• Collaborate with other engineers to find elegant architectures and solutions

What You’ll Add to DigitalOcean:

• Own a technical area by providing technical leadership for a team
• Experience with ML platforms, AI techniques (e.g., LLMs, multimodal, large vision models) or with genAI-related concepts (e.g., evaluations, tracing, insights, language modeling, computer vision)
• Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
• 8+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling production-grade systems
• Demonstrated design and UX sensibilities, especially for technical teamsKnowledge of API standards including REST, Python, or GoDesign of cloud ready systems and architectures.

Compensation Range: 

• $184,000 - $231,000

*This is a remote role

JR: 2026-7617

#LI-Remote

We want people who are passionate about solving complex cloud infrastructure challenges for our customers.

We are looking for a Solutions Architect with expertise in cloud infrastructure to support the success and retention of DigitalOcean's high-value customers. Reporting to the Manager of Solutions Architecture, you will work directly with Customer Success, Sales, and Support functions to retain and grow DigitalOcean’s largest and fastest growing customers. You will be the technical subject matter expert on DigitalOcean’s portfolio, advising on best practices and guiding customers to the optimal solution to meet their business objectives. You will work closely with other functions within DigitalOcean such as Product, Engineering, and Operations to ensure the needs and insights from the local markets are funneled appropriately back into DigitalOcean's products and services.

This is an amazing growth opportunity for a highly motivated individual to establish and expand our presence within the region. Technical depth, excellent communication skills, and a self-starter mentality are needed.

 What You Will Be Doing: 

As a Senior Solutions Architect II, you will serve as a technical partner to the success and sales teams. You will perform architecture reviews, proof of concepts, demos, uncover customer technical needs, and demonstrate DigitalOcean's value proposition. Working with AEs, GAM and TAM counterparts, you'll help retain large customers and expand their workloads on DigitalOcean.

• Develop deep expertise in the DigitalOcean product portfolio, the evolving cloud landscape, and AI/ML platforms.
• Advocate for customers by providing feedback to product teams, overcoming adoption blockers, and driving new feature development.
• Offer personalized onboarding assistance and guide customers through their cloud journey, resolving technical blockers.
• Design and review architecture tailored to specific business use cases, ensuring optimal solutions for customers.
• Implement and oversee infrastructure management best practices to secure and optimize cloud resources.
• Identify opportunities for cost reduction and performance improvement, helping customers make data-driven cloud optimization decisions.
• Conduct technical consultation sessions, workshops, and training for customers to empower them in managing cloud infrastructure.
• Partner with Growth Account Managers and Customer Success Managers to create success plans that ensure customer retention, expansion, and satisfaction.
• Provide regular presentations articulating product benefits, functionality, and technical solutions.
• Demonstrate strong expertise in AI/ML frameworks like TensorFlow and PyTorch and usage of platforms like Hugging Face, with experience deploying and fine-tuning LLMs and GenAI models.
• Optimize GPU workloads using CUDA or TensorRT and build scalable AI applications like chatbots, inference services or recommendation systems using Kubernetes and NFS.
• Design AI solutions tailored to business needs, manage data pipelines, and integrate databases.
• Liaise with Engineering and Support teams to resolve escalations and growth obstacles in a timely fashion.
• Identify and drive process improvement opportunities and promote technical best practices across the organization.
• Contribute to internal and external documentation, such as "The Navigator’s Guide to DO."
• Build tools to enhance the experience of Premium Support customers and improve platform usability.
• Demonstrate proficiency in DevOps tools like Docker, Terraform, and CI/CD pipelines.
• Leverage expertise in Kubernetes, Managed DBaaS, and the DigitalOcean GenAI Platform.
• Work both independently and collaboratively with a global team of Solutions Architects, Customer Success Managers, and Account Managers.

What We'll Expect From You:

• Proven professional experience with cloud infrastructure, AI/ML platforms, or equivalent education.
• Expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch) and familiarity with platforms like Hugging Face.
• Experience deploying and fine-tuning LLMs (e.g., DeepSeek, Llama, Claude, GPT-4) and GenAI models.
• Deep knowledge of Linux, distributed systems, Kubernetes, NFS, Object Storage, and GPU optimization techniques (e.g., CUDA, TensorRT).
• Hands-on experience leveraging vllm and various quantization methods (e.g., INT4, INT8, and FP8) for efficient model deployment.
• Programming/development experience, particularly in building AI-powered applications (e.g., recommendation systems, chatbots).
• Experience working in a post-sales or technical consultant role with a focus on AI/ML and cloud solutions.
• Knowledge of provisioning, deployment strategies, and tools like Terraform, Kubernetes, and Docker.
• Passionate about customer experience and leveraging AI/ML to solve complex business problems.
• Track record of developing successful technical solutions, including AI/ML use cases, to address customer challenges.
• Ability to balance the demands of multiple stakeholders, define priorities, and set appropriate expectations.
• Strong understanding of AI/ML data pipelines, cloud-native databases, and integration strategies.
• Passionate about technology, open source projects, and applying cutting-edge AI/ML innovations.
• Strong communication skills, with the ability to explain technical AI/ML concepts in clear and concise terms.
• Quickly learn DigitalOcean systems and adapt to rapid changes in cloud and AI/ML trends.
• Fluency in English.
• Highly motivated with a self-starter mentality, ready to tackle AI/ML challenges head-on.

Extra Credit: 

• Cloud certifications are highly desirable (AWS/GCP/Oracle/Azure)
• NVIDIA Certifications around GPU and AI/ML
• Networking: Cisco/Juniper Certifications
• Programming/Scripting: Ruby, Python, Go, Bash
• Source Code: Git
• Automation: Terraform, Ansible, Chef, Puppet, Saltstack
• Virtualization: KVM, Xen
• Databases: MongoDB, MySQL, Redis, PostgreSQL
• Open Source: CoreOS, Docker, Kubernetes (CKA/CKE), Vagrant
• DigitalOcean: API, libraries, services
• Linux: RHCSA/RHCE

Compensation Range: 

• Base: $150,000 - $182,000 / Target OTE: $200,000 - 240,000

*This is a remote role

JR: 2026-7695

#LI-Remote

We are looking for a Strategic Technical Account Manager who is passionate about making an impact, builds genuine relationships with senior stakeholders, and understands how to integrate infrastructure choices into business strategy.

As a Strategic Technical Account Manager (TAM) at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. 

What You’ll Do:

Strategic Relationship Management

• Own the technical relationship with DigitalOcean’s highest-value customers, including Fortune 500 companies and global technology leaders.
• Serve as the trusted technical advisor and executive-facing point of contact, building deep, lasting relationships with VP- and SVP-level stakeholders.
• Drive regular technical and strategic alignment sessions (QBRs, EBRs), proactively shaping the customer’s roadmap to maximize the value of DigitalOcean infrastructure.
• Operate as a thought partner, challenging customers to modernize, optimize, and scale AI/ML and GPU workloads using cutting-edge cloud architecture patterns.

Executive Presence & Influence

• Engage with C-level and VP-level contacts with confidence, clarity, and authority.
• Deliver high-impact, boardroom-ready presentations on architecture decisions, cost-performance tradeoffs, and innovation opportunities.
• Navigate complex org structures, ensuring DigitalOcean maintains executive alignment and account control at every level.

Technical Consultation & Innovation Support

• Provide expert guidance on designing and scaling AI/ML, containerized, and GPU-intensive workloads on DigitalOcean.
• Assist customers with architectural planning, workload migration, performance tuning, and incident response.
• Collaborate directly with engineering and product teams to address customer roadblocks and influence the product roadmap based on enterprise needs.

Growth, Retention & Advocacy

• Own technical success across a portfolio of DigitalOcean’s largest and most strategic accounts.
• Identify opportunities for workload expansion, cost optimization, and operational efficiency.
• Act as the voice of the customer, providing structured feedback to influence DigitalOcean's offerings and go-to-market strategies.
  Lead cross-functional account planning with Account Management, Product, and Engineering.

What You’ll Add to DigitalOcean:

Enterprise Customer Experience

• 7+ years supporting enterprise or strategic accounts in a customer-facing technical role (TAM, Solutions Architect, or equivalent).
• Experience working with large-scale organizations like AMD, Intel, or similar, including managing executive-level relationships and navigating matrixed stakeholders.
• Deep understanding of cloud architecture for AI/ML, including GPU orchestration, inference/training pipelines, and model deployment.

Technical Depth

• Proficient in at least one major cloud platform (AWS, GCP, Azure) and familiar with DigitalOcean or other developer-focused platforms.
• Strong hands-on skills with Linux systems, networking, containers (Docker/Kubernetes), and automation (Terraform, Ansible).
  Programming/scripting in Python, Go, or similar—especially relevant to AI/ML and MLOps use cases.
• Understanding of AI/ML infrastructure stacks: PyTorch, TensorFlow, ONNX, Hugging Face, NVIDIA Triton, etc.
• Understanding of AI/ML infrastructure, including frameworks like PyTorch, TensorFlow, and ONNX, with hands-on experience optimizing GPU workloads on both NVIDIA (CUDA, TensorRT) and AMD (ROCm, MIOpen) platforms.
• Comfort with modern DevOps and data stack tools (CI/CD, GitOps, observability, pipelines).

Executive Presence & Communication

• Proven ability to engage with and influence executive decision-makers.
• Exceptional communication skills, including the ability to translate complex technical topics into strategic business impact.
• Comfortable presenting to large audiences, running technical workshops, and defending architectural decisions.

Bonus Points

• Cloud certifications (AWS SA Pro, GCP PCA, Azure Architect) or NVIDIA certifications.
• Experience with high-performance computing, edge AI, or hybrid/multicloud strategies.
• Background in startup or high-growth environments where agility and influence matter.
• Familiarity with DigitalOcean’s developer ecosystem, API, and service portfolio.

Compensation Range: 

• $174,240 - $217,800

*This is a remote role

#LI-Remote

We are looking for a Staff Product Manager to own the strategic vision, development, and execution of DigitalOcean’s GPU product offerings. This high-impact role positions you at the intersection of advanced technology and market-leading innovation, driving products that influence the future direction of our AI and computational science platform.

As a Staff Product Manager, you will serve as product leader owning the foundation that powers accelerated computing. You will define how we strategically define upcoming GPU products, and develop how to acquire, allocate, and deploy GPU resources at scale, ensuring our product aligns with broader business objectives and customer demand for AI/ML and HPC workloads.

In this role, you will be a hands-on strategist, bridging customer needs, market realities, and complex technical execution to ensure efficient, effective value delivery.

What You’ll Do

• Own and drive the product strategy and roadmap for DigitalOcean’s GPUs including defining capacity, provisioning, and deployment workflow, aligning closely with overall cloud infrastructure objectives.
• Conduct comprehensive market analysis on GPU compute trends, competitive offerings, pricing, and emerging technologies to inform product direction and positioning.
• Collaborate directly with Engineering and Infrastructure teams to conceptualize, develop, and deliver cutting-edge GPU solutions optimized for AI, ML, and HPC workloads.
• Serve as the primary advocate for customer deployment requirements, actively collecting and prioritizing feedback to continually refine the capacity consumption experience and platform offerings.
• Partner effectively with Hardware Engineering, Capacity Planning, Solutions Architecture, and Go-to-Market teams to ensure successful, scalable GPU resource launches and full lifecycle management.
• Utilize data-driven approaches to evaluate product success, track key metrics around utilization and deployment velocity, and guide strategic product enhancements.

What You’ll Add to DigitalOcean

• 7+ years of product management experience, specializing in cloud compute infrastructure, accelerated computing, or high-performance networking.
• Deep technical knowledge of GPU architectures (AMD, NVIDIA) and their specific applications in AI, ML, and High-Performance Computing (HPC) environments.
• Proven track record of successfully managing complex infrastructure products from initial concept through large-scale deployment and optimization.
• A strong sense of ownership and a drive to figure out and resolve any issues preventing you and your team from delivering value to your customers
• Exceptional analytical and problem-solving skills, with a demonstrated ability to make and communicate strategic, data-driven decisions, especially related to capacity and scaling.
• Strong leadership and cross-functional communication skills, capable of driving consensus and inspiring collaboration across technical and business teams.
• Customer-focused mindset, with direct experience gathering insights and translating them into valuable product improvements.
• Experience with the Atlassian suite (Jira and Confluence) for managing the flow of value in both Agile and hybrid environments.
• A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical work experience

Compensation Range: 

• $186,000 - $233,000

*This is a remote role

#LI-Remote

We are building an AI-native Data Cloud and need a VP of Engineering who owns architecture, execution, and business outcomes end-to-end. The buck stops with this role for platform reliability, developer experience, and Data Cloud adoption.

DigitalOcean’s Data Cloud will power AI applications end-to-end—from data ingestion to real-time inference—enabling developers to build production-grade RAG systems, AI agents, and analytics workflows on a single, integrated platform. This role is responsible for delivering that platform by leveraging and extending DigitalOcean’s existing infrastructure, PaaS, and AI capabilities.

This is not a traditional data platform role. You will define and execute the strategy to move DigitalOcean up the stack—from infrastructure provider to a differentiated AI application and inference platform. Success will be measured through roadmap velocity, system reliability, developer adoption, and measurable business impact.

We are looking for a leader who translates strategy into shipped systems, with clear accountability for outcomes.

What You’ll Do:

Data Cloud Platform

Architecture and delivery of a unified platform spanning:

• Ingestion (connectors, CDC, streaming)
• Storage (object, OLAP, vector, graph)
• Processing (ELT pipelines, real-time and batch)
• Query & analytics (SQL, hybrid search, RAG)
• Governance (catalog, lineage, versioning, access control)

AI-Native Capabilities

• Knowledgebase-as-a-Service (RAG pipelines)
• Vector and hybrid retrieval systems
• Feature and embedding pipelines
• Real-time inference data paths

Product & Execution

• Deliver GA-grade services with strong SLAs, cost efficiency, and simplicity
• Drive roadmap aligned to Digital Native Enterprise (DNE) customers
• Establish and manage clear metrics: adoption, retention, ARPU, performance, reliability

Organizational Leadership

• Build and scale a high-performing global organization (US and India)
• Implement single-threaded ownership (STO) across services
• Partner deeply with Product, GTM, and Platform Engineering

What Success Looks Like (12 months)

• Launch a cohesive Data Cloud platform—not a collection of fragmented services
• Achieve meaningful adoption across AI-native workloads (RAG, inference, analytics)
• Reduce developer time-to-value from weeks to hours
• Establish clear differentiation versus hyperscalers on simplicity and cost

What You’ll Bring:

• Proven track record of building and operating cloud-scale data platforms (OLAP, lakehouse, streaming, or ML systems), with strong architectural judgment across storage, processing, and query layers
• Experience integrating open-source ecosystems (e.g., Spark, Airflow, dbt) into managed cloud services at scale
• Experience with AI/ML data pipelines (feature stores, embeddings, RAG)
• Demonstrated ability to operate in ambiguity, make high-quality decisions with incomplete data, and drive multi-quarter execution with measurable outcomes
• Proven experience scaling engineering organizations and delivering under real-world constraints

Critical requirement:
You have personally driven complex distributed systems from concept to production—not just managed teams that did.

Why This Role Matters

The Data Cloud is the control plane for AI applications. If DigitalOcean gets this right, it becomes the platform where developers build and scale intelligent applications—not just where infrastructure runs. If not, it remains an interchangeable infrastructure.

Compensation Range: 

• $279,200.00 - $349,000

*This is a remote role

JR: 2026-7683

#LI-Remote

We are seeking a Senior Software Engineer (IC3) to join our Customer Trust & Engineering team working on Identity and Access Management. IAM is the bedrock of trust at DigitalOcean; our services sit in the critical path of every request, authorizing billions of transactions per second with single-digit millisecond latency.

In this role, you won't just maintain existing systems—you will architect the next generation of our Identity platform. You will be instrumental in supporting our AI initiatives, building seamless SSO integrations for global partners, and evolving our policy engine to support complex, agentic workflows. If you are passionate about distributed systems, security-first engineering, and building at hyperscale, this is the team for you.

What You’ll Do

• Architect for Scale: Design and develop high-availability, low-latency authentication and authorization services in Go that scale to handle massive load spikes across global regions.
• Drive Next-Gen Innovation: Build the IAM foundations for emerging cloud-native AI/ML platforms, designing secure token exchange patterns and identity context injection for agentic AI workflows.
• Modernize Identity: Lead the implementation of OIDC and SAML integrations, enabling seamless federated Single Sign-On (SSO) for enterprise customers and strategic global partners.
• Solve Complex AuthZ: Evolve our Policy Engine (using industry standards like Rego/OPA) to support advanced resource-level permissions, dynamic scoping, and network-aware access conditions.
• Evolve Identity Models: Design and scale robust, multi-tenant data models to manage complex hierarchical structures (users, teams, organizations, and resource boundaries) that map to enterprise customer needs.
• Operational Excellence: Take ownership of service reliability, from fine-tuning Kubernetes deployments to migrating legacy data pipelines to modern eventing architectures.
• Security First: Proactively identify and remediate complex security vulnerabilities, ensuring our auth flows are resilient against credential stuffing, session hijacking, and configuration theft.
• Mentor & Lead: Act as a technical lead for major workstreams, conducting deep code reviews and mentoring junior engineers in distributed systems best practices.

What You’ll Add to DigitalOcean

• Experience: 5+ years of software engineering experience, with at least 2+ years focused on Identity (AuthN/AuthZ), Security Products, or high-scale Distributed Systems.
• Language Expert: Expert-level proficiency in Go and a strong understanding of gRPC microservices architecture.
• Identity Specialist: Deep knowledge of identity protocols (OIDC, OAuth2, SAML) and access control models (RBAC, ABAC, PBAC).
• Distributed Systems Guru: Proven ability to build systems that handle consensus, replication, and partitioning at cloud scale.
• Cloud Native: Working experience with container orchestration (Kubernetes), SQL (MySQL), and Infrastructure as Code (Terraform).
• Problem Solver: A track record of "unwinding" complex legacy logic into clean, maintainable abstractions.
• Communication: Ability to communicate technical strategy to senior leadership and collaborate across teams (Inference, Billing, DOKS).

Nice to Have

• Experience with Open Policy Agent (OPA) and Rego.
• Familiarity with Cloud-native deployment strategies (Canary/Blue-Green) via kubernetes.

Compensation Range: 

• $140,800 - $176,000

*This is a remote role

JR: 2026-7665

#LI-Remote

DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications.

We are seeking a Senior Engineer 2 to play a key role in our AI Infrastructure Control Plane team. This team's mission is to orchestrate and operate compute fleet, storage and networking for running AI workloads - inference, training, fine-tuning - at scale. In this high-impact role, you will be a primary technical architect and leader, responsible for building the foundational control plane services that power our large Gen AI model hosting infrastructure.

This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents. You will bridge the gap between high-scale distributed systems and specialized AI inference orchestration to ensure our global platform remains simple, reliable, and accessible for developers building the next generation of AI applications.

What You’ll Do:

• Architectural Leadership: Drive the design and development of distributed services within our AI Infrastructure ecosystem, including complex orchestration for LLM inference and hosting services. Your focus will be the control plane orchestration of compute, networking, and storage for AI workloads.
• System Design: Create, refine, and assess system design proposals for our high-scale, multi-tenant inference cloud ecosystem, ensuring they meet rigorous standards for availability and resiliency.
• Operational Excellence: Lead the operational strategy for critical services, defining SLOs and leveraging advanced observability to maintain platform health in a high-scale environment.
• Cross-Functional Collaboration: Partner deeply with Product Management, TPMs, and Engineering Management peers to align technical roadmaps with business priorities.
• Strategic Growth: Work on new architecture initiatives that enable fleet optimization and help evolve DigitalOcean into a market leader for AI-native networking and infrastructure.

What You’ll Bring to DigitalOcean:

• Distributed Systems Mastery: Deep experience with distributed and cloud services, including messaging systems, databases, and infrastructure as code, observability, and security.
• Cloud Infrastructure Expertise: Advanced knowledge of cloud networking (VPCs, Load Balancers), containerization (Kubernetes), and cloud storage (block, object, NFS). Deep networking software experience (VLAN, RDMA, Ethernet, L3-L7 network protocols, etc) would be a plus.
• AI/ML Domain Knowledge: Proven experience building AI/ML products, specifically focusing on Gen AI platforms, LLM hosting, and inference workflows.
• Operational Track Record: Significant experience running customer-facing, high-availability services across multiple regions.
• Open Source Engagement: Experience integrating and building with open-source software and a bias for technical ownership.
• Software Engineering: Expert proficiency in GoLang or Python and familiarity with gRPC for service-to-service communication.

Compensation Range: 

• $139,200.00 - $174,000.00

*This is a remote role

JR: 2026-7623

#LI-Remote

DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications. We are seeking a Senior Engineer 2 to join our AI Inference Engine Systems team. In this role, you will be a key technical leader responsible for designing, developing, and delivering high-scale, resilient data plane services that power our "Inference as a Service" offering. You will work at the intersection of distributed systems and specialized AI hardware to ensure our customers can deploy and scale their models with industry-leading performance and reliability. This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents. 

What You’ll Do:

• Technical Leadership: Act as a technical leader on the team, driving the end-to-end design, development, and delivery of critical data plane components hosting large generative AI models.
• System Design: Architect and refine system design proposals for our high-scale, multi-tenant AI inference cloud ecosystem, ensuring they meet rigorous availability and resiliency standards.
• Performance Optimization: Implement and optimize distributed inference hosting using techniques like tensor/data parallelism, KV cache optimizations, and smart routing.
• Collaboration: Work cross-functionally with Product Managers, customer-facing teams, and other engineering teams to align technical roadmaps with customer needs.
• Mentorship: Coach and mentor junior engineers, fostering a culture of technical excellence and continuous improvement.
• Operational Excellence: Maintain and operate critical, high-scale services, utilizing observability tools and defining SLOs to ensure superior platform health.

What You’ll Bring to DigitalOcean:

• Distributed Systems Expertise: Strong experience with microservices, messaging systems, databases, and infrastructure as code.
• AI/ML Domain Knowledge: Hands-on experience hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular.
• Inference Frameworks: Familiarity with distributed inference serving frameworks such as llm-d, NVIDIA Dynamo, or Ray Serve.
• Hardware & Interconnects: Understanding of GPU-level optimization and experience with interconnect technologies like NVlink, XGMI, or RoCE.
• Architecture Proficiency: Knowledge of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
• Software Engineering: Expert-level proficiency in GoLang or Python and familiarity with gRPC.
• Cloud Operations: Proven experience shipping customer-facing software products and running critical services in a high-scale environment similar to DigitalOcean.
• Open Source Mindset: Experience integrating and building with open-source software.

Compensation Range: 

• $167,200.00 - $209,000

*This is a remote role

JR: 2026-7591

#LI-Remote

We’re seeking a technically strong Product Manager to lead Identity and Access Management (IAM) and Role-Based Access Control (RBAC) for our customers. This role is focused on building customer-facing identity and collaboration capabilities—not internal enterprise IT systems. You’ll define and deliver the foundational security layer that enables customers to securely manage users, teams, projects, and cloud resources at scale.

You will own the strategy for DigitalOcean’s identity platform, spanning user onboarding, authentication (e.g., 2FA), and fine-grained role-based access controls. In parallel, you’ll drive the vision for machine identity—enabling workloads and services to securely authenticate and interact using modern, short-lived credentials instead of static secrets.

As the IAM/RBAC Technical Product Manager, you will set the roadmap for Customer Identity (CIAM) and secure collaboration, partnering closely with engineering, design, security, sales, and customers to deliver scalable, high-impact solutions. You’ll measure product performance, incorporate customer feedback, and continuously evolve the platform to meet the needs of growing, security-conscious organizations.

What You’ll Be Doing:

• Own the vision for Platform IAM
  Set and drive the long-term strategy for identity and access management across the platform. Define the roadmap for access controls, permissions, and secure authentication protocols that protect customers while enabling growth.
• Design modern workload identity systems
  Lead the development of a cloud-native workload identity framework that enables compute resources to assume ephemeral, short-lived identities for secure, least-privilege access to platform services.
• Establish service authorization
  Define standards and deliver solutions for secure service-to-service authentication and authorization. Ensure backend systems communicate and verify one another within a scalable architecture.
• Deliver developer-first security experiences
  Translate complex security and compliance requirements into intuitive, API-first capabilities. Build seamless permission management experiences across Droplets, Databases, Kubernetes, and other core products.
• Enable secure multi-tenancy and collaboration
  Define how modern, digital- and AI-native organizations manage service accounts, and securely share resources within the ecosystem—balancing flexibility with strong governance controls.
• Lead cross-functional roadmap execution
  Partner with engineering, security, compliance, and go-to-market teams to prioritize and deliver scalable IAM capabilities that meet business goals and the demands of a global cloud platform.
• Measure impact and continuously improve
  Establish clear KPIs to track adoption, reliability, performance, and customer outcomes. Use data and feedback to iterate and evolve IAM capabilities over time.
• Champion the customer voice
  Engage directly with customers and the developer community to understand emerging needs and ensure IAM solutions support secure, scalable growth.
• Ensure security and regulatory alignment
  Drive compliance with global security standards and privacy regulations, embedding best practices into all customer-facing identity products.

Competencies

1. Technical Acumen: Deep understanding of cloud-scale identity protocols (OAuth2, OIDC, SAML, SPIFFE) and how they apply to cloud environments.
2. Product Craft: Ability to design “infrastructure-as-the-product,” focusing on ease of use and developer-centric workflows for customers of various capabilities.
3. Communication: Exceptional skills in influencing cross-functional teams and articulating the value of security features to both technical and non-technical stakeholders.
4. Strategic Problem Solving: Capacity to think through complex authorization models and resource-sharing logic at a platform level.
5. Customer Centricity: Passion for understanding the friction points developers face when managing security and building solutions that remove those hurdles.
6. Organizational Skills: Excellent organizational and time management skills, able to manage multiple projects and deadlines simultaneously

Minimum Qualifications

• Bachelor's Degree in Computer Science, Information Technology, or a related field.
• Minimum of 3 years of experience in Product Management, specifically focused on customer-facing IAM, security, or cloud infrastructure products.
• Proven experience in managing the full product lifecycle for high-scale, multi-tenant software.
• Deep understanding of IAM/RBAC technologies, cloud-based systems, and cybersecurity principles
• Knowledge of common IAM protocols and standards (e.g., OAuth, OpenID Connect, SCIM).
• Prior experience working with Agile development methodologies.
• Familiarity with cloud hosting, virtualization, and API-first product design.

Preferred Qualifications

• 5+ years of experience in IAM or security-related product roles.
• Experience building customer identity and access management (CIAM) systems or developer tools.
• Deep familiarity with SPIFFE/SPIRE, OIDC-based workload federation, or designing automated credential management systems for large-scale cloud environments.
• Professional certifications like CISSP, CISM, CISA, or relevant product management certifications.
• Past success in shaping highly scalable software products with an eye on ease-of-use.

Compensation Range: 

• $159,200 - $199,000

*This is a remote role

JR: 2026-7486

#LI-Remote

We want people who are passionate about taking complex concepts and providing a simple and accessible experience for users.

We are looking for a Senior Software Engineer to build features and improvements end to end to make accelerated compute simple and accessible for everyone.

The AI/ML team is responsible for building an AI platform to manage OSS and custom models across modalities (LLMs, images, audios, videos) on top of a high-performance inference engine, to ensure the latest SOTA models are always available at peak performance. We’re a fast-paced team looking to build the next generation of AI/ML workflows on DigitalOcean.

What You’ll Be Doing:

• Own a technical area by providing technical leadership for a team
• Drive large cross-functional projects independently to completion
• Work primarily in Python, and Go to build and scale model services such as inference, fine-tuning, model benchmarks and evaluations
• Maintain and develop APIs and SDKs
• Collaborate on design and UX
• Build and scale products to achieve operational excellence
• Independently ship product features from planning to launch to maintenance with high autonomy
• Collaborate with other engineers to find elegant architectures and solutions

What You’ll Add to DigitalOcean:

• Own a technical area by providing technical leadership for a team
• Experience with ML platforms, AI techniques (e.g., LLMs, multimodal, large vision models) or with genAI-related concepts (e.g., evaluations, language modeling, computer vision)
• Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
• 4+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling production-grade systems
• Demonstrated design and UX sensibilities, especially for technical teams
• Knowledge of API standards including REST, Python, or Go

Compensation Range: 

• $154,400.00 - $193,000.00

*This is a remote role

JR: 2026-7447

#LI-Remote

We want people who are passionate about taking complex concepts and providing a simple and accessible experience for users.

We are looking for a Senior Software Engineer to build features and improvements end to end to make accelerated compute simple and accessible for everyone.

The AI/ML team is responsible for building an AI platform to manage OSS and custom models across modalities (LLMs, images, audios, videos) on top of a high-performance inference engine, to ensure the latest SOTA models are always available at peak performance. We’re a fast-paced team looking to build the next generation of AI/ML workflows on DigitalOcean.

What You’ll Be Doing:

• Own a technical area by providing technical leadership for a team
• Drive large cross-functional projects independently to completion
• Work primarily in Python, and Go to build and scale model services such as inference, fine-tuning, model benchmarks and evaluations
• Maintain and develop APIs and SDKs
• Collaborate on design and UX
• Build and scale products to achieve operational excellence
• Independently ship product features from planning to launch to maintenance with high autonomy
• Collaborate with other engineers to find elegant architectures and solutions

What You’ll Add to DigitalOcean:

• Own a technical area by providing technical leadership for a team
• Experience with ML platforms, AI techniques (e.g., LLMs, multimodal, large vision models) or with genAI-related concepts (e.g., evaluations, language modeling, computer vision)
• Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
• 4+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling production-grade systems
• Demonstrated design and UX sensibilities, especially for technical teams
• Knowledge of API standards including REST, Python, or Go

Compensation Range: 

• $154,400.00 - $193,000.00

*This is a remote role

JR: 2026-7447

#LI-Remote

We want people who are passionate about taking complex concepts and providing a simple and accessible experience for users.

We are looking for a Senior Software Engineer to build features and improvements end to end to make accelerated compute simple and accessible for everyone.

The AI/ML team is responsible for building an AI platform to manage OSS and custom models across modalities (LLMs, images, audios, videos) on top of a high-performance inference engine, to ensure the latest SOTA models are always available at peak performance. We’re a fast-paced team looking to build the next generation of AI/ML workflows on DigitalOcean.

What You’ll Be Doing:

• Own a technical area by providing technical leadership for a team
• Drive large cross-functional projects independently to completion
• Work primarily in Python, and Go to build and scale model services such as inference, fine-tuning, model benchmarks and evaluations
• Maintain and develop APIs and SDKs
• Collaborate on design and UX
• Build and scale products to achieve operational excellence
• Independently ship product features from planning to launch to maintenance with high autonomy
• Collaborate with other engineers to find elegant architectures and solutions

What You’ll Add to DigitalOcean:

• Own a technical area by providing technical leadership for a team
• Experience with ML platforms, AI techniques (e.g., LLMs, multimodal, large vision models) or with genAI-related concepts (e.g., evaluations, language modeling, computer vision)
• Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
• 4+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling production-grade systems
• Demonstrated design and UX sensibilities, especially for technical teams
• Knowledge of API standards including REST, Python, or Go

Compensation Range: 

• $154,400.00 - $193,000.00

*This is a remote role

JR: 2026-7447

#LI-Remote

We want people who are passionate about taking complex concepts and providing a simple and accessible experience for users.

We are looking for a Senior Software Engineer to build features and improvements end to end to make accelerated compute simple and accessible for everyone.

The AI/ML team is responsible for building an AI platform to manage OSS and custom models across modalities (LLMs, images, audios, videos) on top of a high-performance inference engine, to ensure the latest SOTA models are always available at peak performance. We’re a fast-paced team looking to build the next generation of AI/ML workflows on DigitalOcean.

What You’ll Be Doing:

• Own a technical area by providing technical leadership for a team
• Drive large cross-functional projects independently to completion
• Work primarily in Python, and Go to build and scale model services such as inference, fine-tuning, model benchmarks and evaluations
• Maintain and develop APIs and SDKs
• Collaborate on design and UX
• Build and scale products to achieve operational excellence
• Independently ship product features from planning to launch to maintenance with high autonomy
• Collaborate with other engineers to find elegant architectures and solutions

What You’ll Add to DigitalOcean:

• Own a technical area by providing technical leadership for a team
• Experience with ML platforms, AI techniques (e.g., LLMs, multimodal, large vision models) or with genAI-related concepts (e.g., evaluations, language modeling, computer vision)
• Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
• 4+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling production-grade systems
• Demonstrated design and UX sensibilities, especially for technical teams
• Knowledge of API standards including REST, Python, or Go

Compensation Range: 

• $154,400.00 - $193,000.00

*This is a remote role

JR: 2026-7447

#LI-Remote

We want people who are passionate about taking complex concepts and providing a simple and accessible experience for users.

We are looking for a Senior Software Engineer to build features and improvements end to end to make accelerated compute simple and accessible for everyone.

The AI/ML team is responsible for building an AI platform to manage OSS and custom models across modalities (LLMs, images, audios, videos) on top of a high-performance inference engine, to ensure the latest SOTA models are always available at peak performance. We’re a fast-paced team looking to build the next generation of AI/ML workflows on DigitalOcean.

What You’ll Be Doing:

• Own a technical area by providing technical leadership for a team
• Drive large cross-functional projects independently to completion
• Work primarily in Python, and Go to build and scale model services such as inference, fine-tuning, model benchmarks and evaluations
• Maintain and develop APIs and SDKs
• Collaborate on design and UX
• Build and scale products to achieve operational excellence
• Independently ship product features from planning to launch to maintenance with high autonomy
• Collaborate with other engineers to find elegant architectures and solutions

What You’ll Add to DigitalOcean:

• Own a technical area by providing technical leadership for a team
• Experience with ML platforms, AI techniques (e.g., LLMs, multimodal, large vision models) or with genAI-related concepts (e.g., evaluations, language modeling, computer vision)
• Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
• 4+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling production-grade systems
• Demonstrated design and UX sensibilities, especially for technical teams
• Knowledge of API standards including REST, Python, or Go

Compensation Range: 

• $154,400.00 - $193,000.00

*This is a hybrid role

JR: 2026-7447

#LI-Hybrid

We are looking for a Senior Software Engineer to build features and improvements end to end to make accelerated compute simple and accessible for everyone. 

The AI/ML team is responsible for building an AI platform to manage OSS and custom models across modalities (LLMs, images, audios, videos) on top of a high-performance inference engine, to ensure the latest SOTA models are always available at peak performance. We’re a fast-paced team looking to build the next generation of AI/ML workflows on DigitalOcean.

What You’ll Be Doing:

• Own a technical area by providing technical leadership for a team
• Drive large cross-functional projects independently to completion
• Work primarily in Python, and Go to build and scale model services such as inference, fine-tuning, model benchmarks and evaluations
• Maintain and develop APIs and SDKs
• Collaborate on design and UX
• Build and scale products to achieve operational excellence
• Independently ship product features from planning to launch to maintenance with high autonomy
• Collaborate with other engineers to find elegant architectures and solutions

What You’ll Add to DigitalOcean:

• Own a technical area by providing technical leadership for a team
• Experience with ML platforms, AI techniques (e.g., LLMs, multimodal, large vision models) or with genAI-related concepts (e.g., evaluations, language modeling, computer vision)
• Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
• 8+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling production-grade systems
• Demonstrated design and UX sensibilities, especially for technical teams
• Knowledge of API standards including REST, Python, or Go

Compensation Range: 

• $167,200 - $209,000

*This is a remote role

JR: 2026-7446

#LI-Remote

#LI-SK1

We are looking for a Senior Software Engineer to build features and improvements end to end to make accelerated compute simple and accessible for everyone. 

The AI/ML team is responsible for building an AI platform to manage OSS and custom models across modalities (LLMs, images, audios, videos) on top of a high-performance inference engine, to ensure the latest SOTA models are always available at peak performance. We’re a fast-paced team looking to build the next generation of AI/ML workflows on DigitalOcean.

What You’ll Be Doing:

• Own a technical area by providing technical leadership for a team
• Drive large cross-functional projects independently to completion
• Work primarily in Python, and Go to build and scale model services such as inference, fine-tuning, model benchmarks and evaluations
• Maintain and develop APIs and SDKs
• Collaborate on design and UX
• Build and scale products to achieve operational excellence
• Independently ship product features from planning to launch to maintenance with high autonomy
• Collaborate with other engineers to find elegant architectures and solutions

What You’ll Add to DigitalOcean:

• Own a technical area by providing technical leadership for a team
• Experience with ML platforms, AI techniques (e.g., LLMs, multimodal, large vision models) or with genAI-related concepts (e.g., evaluations, language modeling, computer vision)
• Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
• 8+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling production-grade systems
• Demonstrated design and UX sensibilities, especially for technical teams
• Knowledge of API standards including REST, Python, or Go

Compensation Range: 

• $167,200 - $209,000

*This is a remote role

JR: 2026-7446

#LI-Remote

#LI-SK1

We are looking for a Senior Software Engineer to build features and improvements end to end to make accelerated compute simple and accessible for everyone. 

The AI/ML team is responsible for building an AI platform to manage OSS and custom models across modalities (LLMs, images, audios, videos) on top of a high-performance inference engine, to ensure the latest SOTA models are always available at peak performance. We’re a fast-paced team looking to build the next generation of AI/ML workflows on DigitalOcean.

What You’ll Be Doing:

• Own a technical area by providing technical leadership for a team
• Drive large cross-functional projects independently to completion
• Work primarily in Python, and Go to build and scale model services such as inference, fine-tuning, model benchmarks and evaluations
• Maintain and develop APIs and SDKs
• Collaborate on design and UX
• Build and scale products to achieve operational excellence
• Independently ship product features from planning to launch to maintenance with high autonomy
• Collaborate with other engineers to find elegant architectures and solutions

What You’ll Add to DigitalOcean:

• Own a technical area by providing technical leadership for a team
• Experience with ML platforms, AI techniques (e.g., LLMs, multimodal, large vision models) or with genAI-related concepts (e.g., evaluations, language modeling, computer vision)
• Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
• 8+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling production-grade systems
• Demonstrated design and UX sensibilities, especially for technical teams
• Knowledge of API standards including REST, Python, or Go

Compensation Range: 

• $167,200 - $209,000

*This is a remote role

JR: 2026-7446

#LI-Remote

#LI-SK1

We are looking for a Senior Software Engineer to build features and improvements end to end to make accelerated compute simple and accessible for everyone. 

The AI/ML team is responsible for building an AI platform to manage OSS and custom models across modalities (LLMs, images, audios, videos) on top of a high-performance inference engine, to ensure the latest SOTA models are always available at peak performance. We’re a fast-paced team looking to build the next generation of AI/ML workflows on DigitalOcean.

What You’ll Be Doing:

• Own a technical area by providing technical leadership for a team
• Drive large cross-functional projects independently to completion
• Work primarily in Python, and Go to build and scale model services such as inference, fine-tuning, model benchmarks and evaluations
• Maintain and develop APIs and SDKs
• Collaborate on design and UX
• Build and scale products to achieve operational excellence
• Independently ship product features from planning to launch to maintenance with high autonomy
• Collaborate with other engineers to find elegant architectures and solutions

What You’ll Add to DigitalOcean:

• Own a technical area by providing technical leadership for a team
• Experience with ML platforms, AI techniques (e.g., LLMs, multimodal, large vision models) or with genAI-related concepts (e.g., evaluations, language modeling, computer vision)
• Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
• 8+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling production-grade systems
• Demonstrated design and UX sensibilities, especially for technical teams
• Knowledge of API standards including REST, Python, or Go

Compensation Range: 

• $167,200 - $209,000

*This is a remote role

JR: 2026-7446

#LI-Remote

#LI-SK1

We are looking for a Senior Software Engineer to build features and improvements end to end to make accelerated compute simple and accessible for everyone. 

The AI/ML team is responsible for building an AI platform to manage OSS and custom models across modalities (LLMs, images, audios, videos) on top of a high-performance inference engine, to ensure the latest SOTA models are always available at peak performance. We’re a fast-paced team looking to build the next generation of AI/ML workflows on DigitalOcean.

What You’ll Be Doing:

• Own a technical area by providing technical leadership for a team
• Drive large cross-functional projects independently to completion
• Work primarily in Python, and Go to build and scale model services such as inference, fine-tuning, model benchmarks and evaluations
• Maintain and develop APIs and SDKs
• Collaborate on design and UX
• Build and scale products to achieve operational excellence
• Independently ship product features from planning to launch to maintenance with high autonomy
• Collaborate with other engineers to find elegant architectures and solutions

What You’ll Add to DigitalOcean:

• Own a technical area by providing technical leadership for a team
• Experience with ML platforms, AI techniques (e.g., LLMs, multimodal, large vision models) or with genAI-related concepts (e.g., evaluations, language modeling, computer vision)
• Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
• 8+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling production-grade systems
• Demonstrated design and UX sensibilities, especially for technical teams
• Knowledge of API standards including REST, Python, or Go

Compensation Range: 

• $167,200 - $209,000

*This is a hybrid role

JR: 2026-7446

#LI-Hybrid

Scope and mission: 

• Drive the design and operation of Gradient AI platform, focusing on delivering a simple and innovative agent development experience with best of breed scale, performance, and predictability. 
• Drive architectural vision, technical excellence, and innovation across both backend systems and customer-facing interactions.

Key Responsibilities:

• Architect and Build
• Design and evolve the architecture for our agent development experience including code integration, evaluations, observability, tools, and cross-agent interactions. 
• Drive initiatives to deliver an architecture optimized for scalability, reliability, low-latency, and cost efficiency.
• Manage and evolve our benchmarking system to continuously raise the bar on our experience.
• Roll out new services by taking on a hands-on lead role as required to ensure timely delivery. 
• Technical Leadership
• Establish and enforce technical standards, coding practices, tooling, and infrastructure guidelines across the AI/ML engineering teams.
• Establish best practices for design, testing, deployments, instrumentation, and performance tuning.  
• Mentor other senior engineers, shaping the team’s culture of architectural rigor and operational excellence.
• Cross-functional Collaboration
• Work with product managers, stakeholders, and business leaders to translate strategic objectives into scalable technical roadmaps.
• Guide customer-facing teams (e.g., consultants, support, sales engineers) to shape AI modernization initiatives via agents. 
• Reliability, Performance & Scaling
• Lead Operations Excellence for our Agent development platform, establish mechanisms and processes that scale to the engineering organization while raising the bar. 
• Oversee availability, performance tuning, failover strategies, capacity planning, and disaster recovery.
• Drive AI-driven automation (e.g., IaC, CI/CD pipelines, deployments, monitoring) to optimize operations
• Innovation & Future Roadmapping
• Drive development of internal tooling leveraging agents across the company, contributing towards increased efficiency and quality across all aspects of engineering.  
• Serve as subject matter expert on new agent development paradigms and lead implementation of mechanisms to productize them.

Qualifications:

• Domain Expertise: Hands-on experience designing and operating production-grade AI/ML platforms using the latest GenAI and Agent-development technologies.
• Technical Experience: 10+ years in designing and building applications on the cloud with 5+ years experience in AI/ML platforms
• Leadership & Collaboration: Prior experience as a technical visionary in large-scale, mission-critical projects; ability to align technology strategy with business impact.
• Operational excellence: Expertise in driving operational excellence via automation and best practices.
• Communication & Mentoring: Strong written and verbal communication skills with a track record of mentoring senior and junior engineers; translating complex concepts across engineering and business teams.

Compensation Range:

• $227,040 - $283,800

*This is a remote role

#LI-Remote

#LI-SK1 

We want people who are passionate about building meaningful, long-term relationships with our customers that help grow and scale business in the cloud.

Our Technical Account Manager team’s mission is to partner with our most critical business customers, helping them achieve desired outcomes through optimal use of the cloud platform aligned to their business strategy. Technical Account Management is an integral part of our company. They are passionate about building meaningful, long-term relationships with our customers and are experts in cloud technology and the digital economy. As the voice of the customer, you have the opportunity to influence decisions that will greatly improve user experience and contribute to DigitalOcean’s long-term success.

This is a unique and exciting opportunity for someone who is passionate about advising companies as they scale. This multifaceted role combines the responsibilities of a Technical Account Manager with leadership, technical, and strategic elements, making it a crucial position within our organization.

As a Senior Technical Account Manager at DigitalOcean, you are a strategic partner for our key business customers, ensuring they receive the guidance, support, and resources needed to succeed. You will leverage your technical knowledge and customer advocacy skills to retain and grow our customers' deployments on DigitalOcean, helping them solve complex challenges and maximize the value of their cloud infrastructure.

What You Will Be Doing:

• Technical Consultation & Architecture Design:
• Develop and maintain deep expertise in the DigitalOcean product portfolio and the evolving cloud ecosystem.
• Help design, diagram, and plan infrastructure architectures tailored to customer use cases, explaining solutions clearly to both technical and non-technical stakeholders.
• Conduct regular technical consultation sessions and workshops, enabling customers to be self-sufficient in managing their cloud environments.
• Maintain knowledge of cloud infrastructure best practices and recent technologies through the regular attainment and maintenance of important cloud technology certifications and coursework.
• Proactive Customer Engagement & Growth:
• Manage and maintain DigitalOcean’s key accounts 
• Partner closely with customers to drive engagement, retention, and expansion of their DigitalOcean workloads.
• Conduct QBRs with key accounts, assessing their progress, understanding their evolving needs, and aligning on strategies for future growth.
• Identify opportunities for cost reduction and performance optimization, guiding customers to make data-driven decisions that maximize their cloud investments.
• Collaborate with internal teams, such as Engineering, Marketing, and Account Managers, to align customer needs with DigitalOcean’s strategic goals.
• Proactively monitor customer usage trends, identify potential risks, and uncover new opportunities for growth and adoption.
• Advocacy & Cross-Functional Collaboration:
• Act as the voice of the customer within DigitalOcean, ensuring their needs are represented in product development and support processes.
• Liaise with Engineering and Support teams to resolve escalations and technical challenges quickly, ensuring smooth customer experiences.
• Deliver compelling presentations to articulate the benefits and functionality of DigitalOcean’s offerings to customers.
• Contribute to internal and external technical documentation, and provide training for DigitalOcean’s teams and partners to ensure knowledge transfer.
• Tooling & Efficiency:
• Develop tools and scripts to streamline DigitalOcean’s technical engagements, improving the efficiency of the Technical Account Management functions.
• Stay current with industry trends and best practices to continuously enhance DigitalOcean's customer engagement strategies.

What We’ll Expect From You:

• Technical Expertise:
• Proven experience in cloud infrastructure and deep knowledge of Linux, distributed systems, and automation.
• Programming or development experience, with basic skills in at least one mainstream language (e.g., Python, Go).
• Understanding of provisioning and deployment strategies, with knowledge of tools like Terraform, Ansible, and Docker.
• Proficiency with at least one major cloud platform (AWS, Google Cloud Platform, or Azure).
• Proven track record of successfully troubleshooting technical problems. 
• Familiarity with version control (e.g., Git), SQL and basic database administration, CI/CD tools, and AI/ML infrastructure principles.
• Customer-Centric Approach:
• Passionate about delivering exceptional customer experiences, with a history of building successful technical solutions that align with business goals.
• Ability to manage multiple stakeholders, prioritize effectively, and set clear expectations.
• Strong analytical skills to monitor customer trends and identify opportunities for improvement and growth.
• Experience advocating for customer needs and translating feedback into actionable insights.
• Communication Skills:
• Strong verbal and written communication skills, capable of translating complex technical concepts for varied audiences.
• Ability to create and deliver technical presentations and training sessions that resonate with customer needs.
• Adaptability & Initiative:
• Self-starter with a passion for technology and open-source projects, eager to learn new tools and systems.
• Quick to adapt to changes in the cloud ecosystem, always looking for ways to improve customer engagement and technical solutions.
• Extra credit for experience in (Technical) Customer Success, Solutions Engineering, or Technical Account Management roles, particularly within fast-paced startup environments.

Extra Credit:

• Cloud certifications (AWS/GCP/Oracle/Azure) and NVIDIA certifications for GPU and AI/ML.
• Experience with networking (Cisco/Juniper), automation tools (Terraform, Ansible), virtualization (KVM, Xen), and databases (e.g., MongoDB, MySQL).
• Familiarity with open-source technologies, such as Docker, Kubernetes (CKA/CKE), and DigitalOcean’s API.
• Linux certifications (e.g., RHCSA/RHCE) 
• Experience working with large CRMs like Gainsight and Salesforce

Compensation Range: 

• $142,000 - 176,000

*This is a remote role

JR: 4290

#LI-Remote

About the Role

We are seeking a talented and motivated Corporate Counsel to join our legal team. This role is ideal for a lawyer with a strong litigation foundation who is ready to transition into a broad-based product counsel role. You will partner closely with our product and technology organizations, applying your litigation background to assess and mitigate risk, while advising on a wide range of matters at the intersection of AI, product development, and business operations.

What You'll Do

Product & AI Counsel

• Serve as counsel for product teams, advising on product development, feature launches, terms of service, and user-facing policies.
• Provide guidance on legal and regulatory matters related to artificial intelligence, including AI governance frameworks, data use, bias, transparency, and applicable regulation (e.g., EU AI Act, emerging U.S. state laws).
• Advise on intellectual property matters related to software, AI-generated content, and product features.
• Identify and proactively address legal risks in product roadmaps and cross-functional initiatives.
• Collaborate with Privacy, Security, and Trust & Safety teams to ensure product compliance with applicable laws.

• Develop and maintain internal legal playbooks, templates, and training materials.

Risk Management & Dispute Readiness

• Apply litigation expertise to evaluate legal exposure and develop proactive risk mitigation strategies across the business.
• Support pre-litigation matters as they arise, including assessing claims, coordinating with outside counsel, and driving toward efficient resolution.
• Manage litigation holds and support discovery processes when needed.
• Monitor the legal and regulatory landscape affecting technology and AI companies and provide timely guidance to stakeholders.

Business and Cross-Functional Support

• Partner with cross-functional teams to develop, apply, and improve both internal and external policies.
• Collaborate with internal business teams, including Finance and Collections, to support a range of business needs and advise on protective measures when necessary. 
• Advise Sales and Go-To-Market teams on compliance and legal considerations to support competitive positioning.

Required Qualifications

• J.D. from an accredited law school and active bar membership in good standing
• 4-7 years of experience, with law firm litigation experience strongly preferred
• Strong litigation foundation, including experience with dispute assessment, outside counsel management, and discovery
• Experience advising on technology or product-related legal matters
• Strong drafting, analytical, and communication skills
• Highly organized with the ability to manage competing priorities in a dynamic environment
• Understanding of AI tools and how to utilize them to expedite and streamline workflows

Preferred Qualifications

• Prior experience with AI, machine learning, or emerging technology legal issues
• Familiarity with data privacy regulations (GDPR, CCPA, etc.)
• In-house experience at a technology company
• Experience with intellectual property, particularly software or AI-related IP
• Comfort with fast-paced, high-growth environments
• Strong business acumen and product intuition

About the Role

We are seeking a talented and motivated Corporate Counsel to join our legal team. This role is ideal for a lawyer with a strong litigation foundation who is ready to transition into a broad-based product counsel role. You will partner closely with our product and technology organizations, applying your litigation background to assess and mitigate risk, while advising on a wide range of matters at the intersection of AI, product development, and business operations.

What You'll Do

Product & AI Counsel

• Serve as counsel for product teams, advising on product development, feature launches, terms of service, and user-facing policies.
• Provide guidance on legal and regulatory matters related to artificial intelligence, including AI governance frameworks, data use, bias, transparency, and applicable regulation (e.g., EU AI Act, emerging U.S. state laws).
• Advise on intellectual property matters related to software, AI-generated content, and product features.
• Identify and proactively address legal risks in product roadmaps and cross-functional initiatives.
• Collaborate with Privacy, Security, and Trust & Safety teams to ensure product compliance with applicable laws.

• Develop and maintain internal legal playbooks, templates, and training materials.

Risk Management & Dispute Readiness

• Apply litigation expertise to evaluate legal exposure and develop proactive risk mitigation strategies across the business.
• Support pre-litigation matters as they arise, including assessing claims, coordinating with outside counsel, and driving toward efficient resolution.
• Manage litigation holds and support discovery processes when needed.
• Monitor the legal and regulatory landscape affecting technology and AI companies and provide timely guidance to stakeholders.

Business and Cross-Functional Support

• Partner with cross-functional teams to develop, apply, and improve both internal and external policies.
• Collaborate with internal business teams, including Finance and Collections, to support a range of business needs and advise on protective measures when necessary. 
• Advise Sales and Go-To-Market teams on compliance and legal considerations to support competitive positioning.

Required Qualifications

• J.D. from an accredited law school and active bar membership in good standing
• 4-7 years of experience, with law firm litigation experience strongly preferred
• Strong litigation foundation, including experience with dispute assessment, outside counsel management, and discovery
• Experience advising on technology or product-related legal matters
• Strong drafting, analytical, and communication skills
• Highly organized with the ability to manage competing priorities in a dynamic environment
• Understanding of AI tools and how to utilize them to expedite and streamline workflows

Preferred Qualifications

• Prior experience with AI, machine learning, or emerging technology legal issues
• Familiarity with data privacy regulations (GDPR, CCPA, etc.)
• In-house experience at a technology company
• Experience with intellectual property, particularly software or AI-related IP
• Comfort with fast-paced, high-growth environments
• Strong business acumen and product intuition

About the Role

We are seeking a talented and motivated Corporate Counsel to join our legal team. This role is ideal for a lawyer with a strong litigation foundation who is ready to transition into a broad-based product counsel role. You will partner closely with our product and technology organizations, applying your litigation background to assess and mitigate risk, while advising on a wide range of matters at the intersection of AI, product development, and business operations.

What You'll Do

Product & AI Counsel

• Serve as counsel for product teams, advising on product development, feature launches, terms of service, and user-facing policies.
• Provide guidance on legal and regulatory matters related to artificial intelligence, including AI governance frameworks, data use, bias, transparency, and applicable regulation (e.g., EU AI Act, emerging U.S. state laws).
• Advise on intellectual property matters related to software, AI-generated content, and product features.
• Identify and proactively address legal risks in product roadmaps and cross-functional initiatives.
• Collaborate with Privacy, Security, and Trust & Safety teams to ensure product compliance with applicable laws.

• Develop and maintain internal legal playbooks, templates, and training materials.

Risk Management & Dispute Readiness

• Apply litigation expertise to evaluate legal exposure and develop proactive risk mitigation strategies across the business.
• Support pre-litigation matters as they arise, including assessing claims, coordinating with outside counsel, and driving toward efficient resolution.
• Manage litigation holds and support discovery processes when needed.
• Monitor the legal and regulatory landscape affecting technology and AI companies and provide timely guidance to stakeholders.

Business and Cross-Functional Support

• Partner with cross-functional teams to develop, apply, and improve both internal and external policies.
• Collaborate with internal business teams, including Finance and Collections, to support a range of business needs and advise on protective measures when necessary. 
• Advise Sales and Go-To-Market teams on compliance and legal considerations to support competitive positioning.

Required Qualifications

• J.D. from an accredited law school and active bar membership in good standing
• 4-7 years of experience, with law firm litigation experience strongly preferred
• Strong litigation foundation, including experience with dispute assessment, outside counsel management, and discovery
• Experience advising on technology or product-related legal matters
• Strong drafting, analytical, and communication skills
• Highly organized with the ability to manage competing priorities in a dynamic environment
• Understanding of AI tools and how to utilize them to expedite and streamline workflows

Preferred Qualifications

• Prior experience with AI, machine learning, or emerging technology legal issues
• Familiarity with data privacy regulations (GDPR, CCPA, etc.)
• In-house experience at a technology company
• Experience with intellectual property, particularly software or AI-related IP
• Comfort with fast-paced, high-growth environments
• Strong business acumen and product intuition

Your role
We are looking for a rare breed of leader: someone who possesses the technical depth of an AI Architect and the strategic mindset of a Sales Executive. Reporting directly to the Vice President of Sales Engineering, you will recruit, mentor, and direct a team of Forward Deployed Engineers who translate complex business challenges into high-impact, Agentic AI systems.

You are a self-starter who thrives in ambiguity. You don't just manage a team; you lead from the front, acting as the company’s most technically fluent business consultant and our customers' most trusted AI architect. You will partner across Sales, Product, and Engineering to ensure our AI platform is not only adopted but becomes the backbone of our customers' operations.

You will lead a specialized, high-impact technical division within our global Sales organization. This team isn't just selling software; they are building the future of communication. The Agentic Sales Engineering team is the "special forces" of our Go-To-Market strategy—a group of elite Forward Deployed Engineers who embed themselves within our most strategic accounts to bridge the gap between visionary AI potential and production-ready reality.

What you’ll do

• Build & Mentor: Recruit and develop a high-performing team of Forward Deployed Engineers. Coach them to develop both their technical AI/ML skills and their ability to command a C-suite boardroom.
• Strategic GTM Leadership: Partner with Sales leadership to identify "must-win" accounts where Agentic AI can be a differentiator. Actively participate in the sales cycle to provide leadership, technical authority, and strategic deal support.
• Bridge the Gap: Act as the crucial link between the field and the lab. Synthesize critical "field signals"—customer pain points, integration patterns, and platform limitations—and deliver them to Product and Engineering to influence the roadmap.
• Architect Value: Guide the team in designing complex multi-agent systems, retrieval pipelines (RAG), and decision logic that integrate with CRMs, ERPs, and custom APIs via our MCP framework.
• Innovate Processes: Create and implement new systems for "AI Envisioning" sessions, helping customers navigate complex cloud/data infrastructure to bring AI bots to life.
• Drive Execution: Ensure the team isn't just selling a vision, but building the "shippable" capabilities that validate a customer's investment during pre-sales and early deployment.

Skills you’ll bring

• The Basics: BA/BS degree or equivalent practical experience.
• Experience: Minimum 8 years of customer-facing technical experience (Sales Engineering, FDE, or Solutions Architecture).
• Minimum 5 years of people management experience, specifically leading technical teams.
• Technical Depth: Deep, demonstrable expertise in the modern AI/ML stack: LLMs, Vector Databases, and Agent Orchestration Frameworks. Proficiency in Python, Go, or JS/TS.
• Business Acumen: The ability to simplify technical complexity and communicate clear ROI and trade-offs to non-technical C-suite executives.
• Leadership Style: High emotional intelligence with a "scrappy" mentor mindset. You are someone who takes initiative and thinks creatively to get the job done under tight timelines.
• Operational Excellence: Strong analytical skills to use data in improving team effectiveness and product vision.