Twilio is undergoing a major business transformation powered by Enterprise AI, supported by a dedicated engineering team building the foundations for a unified, secure, and scalable operating system across GTM functions (Sales, Support, Operations, etc.) as well as Internal non-GTM functions (Finance, HR, Legal, etc.).

Our platform is designed to support a multitude of business functions by deploying intelligent agentic solutions that automate complex workflows and deliver unprecedented user experiences.

We're building the future of work at Twilio, and this role offers the opportunity to be at the forefront of enterprise AI innovation.

This role focuses specifically on transforming how Twilio's Customer Support organization operates through AI-powered tools and agentic products.

We are looking for Full-Stack Engineers who view AI as a fundamental shift in the software development lifecycle of engineering products and the delivery of beautiful, engaging user experiences.

This is an opportunity to deliver innovative software products and solutions across every business function in the company such as Sales, Marketing, GTM, HR, Finance and Legal.

Joining this team means building production-grade, full-stack AI applications. You won’t just be wrapping APIs; you will be engineering the entire lifecycle of agentic applications.

As a Staff Software Engineer within Enterprise AI, you are the technical heartbeat of our products.

Your role is to bridge the gap between bleeding-edge AI research and robust, full-stack production systems.

Responsibilities:

• Co-lead the design and development of our software infrastructure, driving technical vision and strategy to ensure scalability, reliability, and performance.
• Drive the development of sophisticated, stateful web applications.
• Serve as developer leader in distributed systems, data technologies, with strong software engineering skills.
• Drive technical innovation and research to stay at the forefront of emerging data technologies and best practices.
• Mentor and elevate a team of high-performing engineers.
• Collaborate closely with cross-functional teams to understand business requirements and translate them into scalable and efficient technical solutions.
• Continuously adapt to the evolving JavaScript ecosystem to maximize engineering efficiency.
• Ensure data quality, integrity, and security throughout the data lifecycle, adhering to industry best practices and compliance standards.

Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 8+ years of experience in data engineering, software development, or a related field, with at least 3 years in a technical leadership role.
• Experience with full-stack development building web apps, using modern programming languages such as JavaScript, Typescript or React.
• Proven track record of architecting and delivering complex data projects at scale, with a deep understanding of data infrastructure and distributed systems.
• Strong understanding of data modeling, data warehousing, and ETL processes, with experience designing and optimizing data pipelines.
• Excellent communication and collaboration skills, with the ability to influence technical decisions and drive alignment across teams.
• Strong leadership skills, with a track record of mentoring and developing high-performing engineering teams.
• Demonstrated ability to thrive in a fast-paced, dynamic environment and deliver results under tight timelines.

Desired:

• Experience developing production-quality LLM applications and using modern agent frameworks such as Langchain, Langgraph, Llamaindex, LangSmith, LangFuse, CrewAI, and/or others is a plus.
• Expertise in big data technologies such as Hadoop, Spark, Kafka, and cloud-based data services (AWS/GCP/Azure).

What We Offer: Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Based on role, employees may also be eligible for additional compensation and benefits, including but not limited to incentive programs, commissions, equity grants, health and wellness benefits, retirement contributions, and paid time off. The estimated pay ranges for this role are as follows:

• $160,320 - $200,400
• Target Bonus Percentage 15% (When Applicable)

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.

Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values , something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

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Join the team as our next Staff Software Engineer in the Enterprise AI Engineering team. Twilio is undergoing a major business transformation powered by Enterprise AI, supported by a dedicated engineering team building the foundations for a unified, secure, and scalable operating system across GTM functions (Sales, Support, Operations, etc.) as well as Internal non-GTM functions (Finance, HR, Legal, etc.).

In this role, you'll co-lead the design and development of our software infrastructure, driving technical vision and strategy to ensure scalability, reliability, and performance. You will oversee the integration of complex React-based front-ends with backend modular services, ensuring a seamless UI experience.

As a Staff Software Engineer within Enterprise AI, you are the technical heartbeat of our products. Your role is to bridge the gap between bleeding-edge AI research and robust, full-stack production systems.

Responsibilities:

• Co-lead the design and development of our software infrastructure, driving technical vision and strategy to ensure scalability, reliability, and performance.
• Drive the development of sophisticated, stateful web applications.
• Serve as developer leader in distributed systems, data technologies, with strong software engineering skills.
• Drive technical innovation and research to stay at the forefront of emerging data technologies and best practices.
• Mentor and elevate a team of high-performing engineers.
• Collaborate closely with cross-functional teams to understand business requirements and translate them into scalable and efficient technical solutions.

Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 8+ years of experience in data engineering, software development, or a related field, with at least 3 years in a technical leadership role.
• Experience with full-stack development building web apps, using modern programming languages such as JavaScript, Typescript or React.
• Proven track record of architecting and delivering complex data projects at scale, with a deep understanding of data infrastructure and distributed systems.
• Strong understanding of data modeling, data warehousing, and ETL processes, with experience designing and optimizing data pipelines.
• Excellent communication and collaboration skills, with the ability to influence technical decisions and drive alignment across teams.
• Strong leadership skills, with a track record of mentoring and developing high-performing engineering teams.
• Demonstrated ability to thrive in a fast-paced, dynamic environment and deliver results under tight timelines.

Desired:

• Experience developing production-quality LLM applications and using modern agent frameworks such as Langchain, Langgraph, Llamaindex, LangSmith, LangFuse, CrewAI, and/or others is a plus.
• Expertise in big data technologies such as Hadoop, Spark, Kafka, and cloud-based data services (AWS/GCP/Azure).

Travel:

This role will be remote and based in Colombia. Travel may be required to participate in project or team in-person meetings.

What We Offer:

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values , something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.

So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now!

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Product Manager, Model Behavior

Location

San Francisco

Employment Type

Full time

Department

Product Management

Compensation

• $230K – $325K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Model Behavior team is responsible for how OpenAI’s models behave. We’re focused on making current and future models better for people at scale—improving existing capabilities, shaping emerging ones, and scaling model behavior tuning. We collaborate across the company, as our work directly impacts many teams.

About the Role

As a Product Manager for the Model Behavior team, you'll be at the forefront of defining and guiding the future of how our AI models behave in real-world applications. You’ll set clear priorities and drive impactful improvements to model capabilities, balancing user needs, safety considerations, and technical innovation. This role is perfect for a proactive, technically adept PM who thrives on solving challenging, ambiguous problems through structured product thinking and close collaboration.

This position is based in San Francisco, CA, with relocation assistance available.

In this role, you will:

• Define strategic priorities and roadmap for improving model behavior, focusing on user outcomes, safety, reliability, and emerging capabilities. Care for our users, and humanity as a whole, are core to this role.

• Partner closely with research, engineering, product design, and policy teams to translate strategic goals into actionable product initiatives.

• Develop scalable methodologies, tools, and processes for evaluating, tuning, and iterating on model behavior.

• Synthesize user research, community feedback, and quantitative insights into targeted improvements in our AI models.

• Establish and iterate on clear, actionable metrics that accurately reflect model quality and user experience at scale.

You might thrive in this role if you:

• Have 6+ years of product management or related industry experience.

• Have an interest in fields such as human-computer interaction, psychology, philosophy, or other relevant fields.

• Are excited about building not just a product, but a new form of intelligence, with the aim to benefit humanity

• Have hands-on experience driving consensus and action in ambiguous spaces.

• Know how to ask questions that uncover underlying constraints and assumptions.

• Excel at collaborating across diverse teams and communicating complex ideas clearly.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Legal

Compensation

• $162K – $180K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

At OpenAI, our Compliance team is dedicated to fostering a culture of integrity and adherence to regulatory and legal requirements. We collaborate closely with Legal, Security, People, Finance, and operational teams to ensure our compliance programs support the organization’s mission while mitigating risk in a rapidly evolving AI landscape.

About the Role

The Compliance Program Manager will play a key role in building and scaling OpenAI’s compliance program—translating requirements into practical processes, driving program execution, and improving how we detect, assess, and mitigate compliance risk. You’ll help run the day-to-day operational backbone of the program (e.g., disclosures, training, investigations tracking, controls, and reporting) and partner cross-functionally to keep the program effective as the company grows. This role represents an exciting opportunity to innovate compliance operations using the latest AI technology. This role reports to the Chief Compliance Officer.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Build and scale compliance program operations: design and implement repeatable workflows (intake, triage, escalation, documentation, follow-up), and continuously improve them as risks and business needs evolve.

• Own program execution: create project plans, define milestones, drive cross-functional action items, and ensure initiatives land on time (policy rollouts, training launches, controls implementation, tooling improvements).

• Support disclosures and investigations processes: help manage intake and tracking, coordinate with stakeholders, maintain documentation, and ensure timely resolution and remediation follow-through.

• Drive compliance training and communications: help develop, launch, and measure training and awareness programs that are clear, practical, and aligned to risk.

• Monitor and assess compliance risk: partner with internal stakeholders to identify gaps, conduct internal assessments, recommend corrective actions, and track remediation.

• Support audit and regulatory readiness: assist with responses to inquiries, audits, and examinations; maintain evidence, reporting decks, and program artifacts.

• Develop metrics and reporting: build dashboards and recurring reporting for leadership (and the Audit Committee as needed) on risk areas, program health, and key initiatives.

• Stay current on evolving requirements: track relevant regulatory developments and best practices; translate them into actionable program updates.

For all of the above, we expect you to leverage our products, including ChatGPT and agentic workflows to reduce workload, improve results, and upgrade the user experience.

You might thrive in this role if you have:

• 5+ years of experience in compliance, risk, audit, investigations ops, or program management in a regulated and/or fast-scaling environment.

• Demonstrated experience building and running programs (process design, stakeholder management, project plans, metrics, continuous improvement).

• Demonstrated ability using AI to improve compliance processes, or demonstrated skill in technical innovation.

• Strong execution: you can plan the work and work the plan, with good judgment about prioritization in ambiguity.

• Excellent communication skills and the ability to write and speak in plain English (not “compliance speak”).

• Comfort partnering across teams (Legal, Security, People, Finance, Eng/Operations) and navigating competing priorities.

• Strong analytical and problem-solving skills; attention to detail without losing the big picture.

• Ability to independently manage multiple work streams in a fast-paced environment.

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