Role & Team

As an ML Engineering Manager, you will lead across several cross-functional teams, managing up to ~10 machine learning engineers and data scientists. You will support teams working on data- and machine-learning-driven product capabilities.

Our product teams are cross functional and will typically include product managers, designers, engineers and subject matter experts relating to the team’s domain.

You will be accountable for the technical direction and delivery outcomes of your area. You will challenge your teams to pursue ambitious goals while providing a high level of support — growing engineering talent and fostering a highly collaborative, team-based environment where people can do great work.

Your primary focus will be on building high-performing teams and driving results through others. You will not be expected to spend significant time doing hands-on coding; however, you will be expected to dive deep technically when required and leverage your experience to support strong technical decision-making.

Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)

What You'll Do

• Enable our Machine Learning and data teams to operate as highly productive, cross-functional teams delivering high-quality ML-driven capabilities
• Support teams working with satellite imagery and geospatial datasets, balancing experimentation, iteration, and ongoing improvement of existing solutions
• Grow the teams by attracting and hiring great Data and ML talent
• Foster an inclusive, supportive, and caring culture where everyone can do their best work
• Provide regular 1:1 coaching and feedback to help others thrive, grow, and reach their aspirations
• Act as a strategic partner to Product Managers within your domains, ensuring technical decisions balance short- and long-term goals
• Ensure the technical approaches within your domains support future product and modelling needs
• Work closely with other Product, Design and Engineering leaders on strategy, technology, and people
• Help evolve Data and ML practices and introduce ways of working that improve collaboration, delivery, and learning

Skills & Experience

• 8+ years of professional experience building ML- or data-driven systems, at least 3 years’ experience leading and managing ML or data-focused teams
• Passionate about climate and the role technology can play in addressing environmental challenges
• Experience working in a high-growth scale-up or startup environment
• Product-minded, with the ability to demonstrate meaningful business impact through technology
• Sufficient technical depth in machine learning, data systems, or applied ML to guide teams and challenge decisions
• Experience working with python-based ML or data workflows and collaborating closely with data scientists
• Strong leadership skills, with a coaching mindset and the ability to support engineers and data scientists at all levels
• Excellent communication skills and the ability to collaborate effectively in cross-functional environments
• Passion for learning and staying current with evolving technologies and industry trend

Nice To Have

• Engineering mindset or background, with experience applying software engineering best practices to data and ML systems (e.g., reproducibility, testing, monitoring, and production deployments)

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer

• Competitive, location-specific compensation and benefits 
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

Who We Are

Babylist is the leading registry, e-commerce, and content platform for growing families. More than 9 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, trusted guidance, and expert product recommendations for new parents and the people who love them. What began as a universal registry has grown into a full ecosystem for new parents, including the Babylist Shop, Babylist Health, and a flagship showroom in Los Angeles. Hundreds of brands in baby and beyond partner with Babylist to engage meaningfully with families during one of life’s most important transitions. With over $1 billion in annual GMV, and more than $500 million in 2024 revenue, Babylist is reshaping the $320 billion baby product industry. We’re helping parents feel confident, connected, and cared for at every step. As we build the generational brand in baby, our mission remains simple: to connect growing families with everything they need to thrive.To learn more, visit www.babylist.com.

Our Ways of Working

Babylist is remote-first with team members across the U.S. and Canada who move fast, think smart, and use AI as part of how they work every day — not as an experiment, as an expectation. We come together twice a year to build the relationships behind the work, and we hire people who are genuinely excited about what's possible and prove it through how they show up.

How We Build

Babylist is in the middle of a fundamental shift in how software gets made, and we are not tiptoeing into it. We are rebuilding our engineering culture around a simple belief: AI changes everything. How teams are structured, how decisions get made, how fast ideas become working software. Our engineers own problems end to end, working directly with product, design, and business partners with short feedback loops and real stakeholder access. We ship, learn, and iterate fast. When something is not working, we throw it out and start over — project failure and personal failure are not the same thing here. AI tools are as natural to our workflow as an IDE or version control. We are not exploring this, we are living it. Our engineers use AI to explore tradeoffs, pressure-test designs, and move from problem to solution in hours instead of days. They generate code with AI so they can stay focused on the decisions that actually require human judgment — not the routine ones. More velocity means more time for craft: better test coverage, stronger architecture, and deeper customer understanding. We hold ourselves to a higher quality bar because of AI, not in spite of it. We are building this playbook in real time, and we are looking for people who want to build it with us. If you have already changed how you work because of AI — or you are ready to — and you care more about shipping something great than following a prescribed process, we should talk.

Our Tech Stack 

• React, Native iOS and Android
• Ruby on Rails
• AWS, Terraform
• MySQL
• Sidekiq
• Redis
• Shopify

What the Role Is

As Babylist’s Senior Engineering Manager, Machine Learning & Discovery+Site Monetization, you’ll lead the team driving the next era of our machine learning and personalization efforts across the product. This is a hands-on leadership role for a manager who remains technically fluent while scaling people, systems, and impact. You’ll manage and grow a high-performing ML-focused pod spanning product recommendations, search, PLPs, and site monetization, with a clear mandate: maximize revenue and user value across surface areas through personalization.

You’ll guide the team on technical direction behind our homepage feed, “add next” experience, and other core personalization surfaces, while building the foundations for long-term ML excellence at Babylist.

Who You Are

• 3+ years of experience as a front-line manager delivering production-grade software or ML systems
• 5+ years of experience as an individual contributor in ML or Data Science, plus proven experience leading teams that build end-to-end machine learning systems, ideally in personalization, recommendations, or consumer-facing ML products
• Deep familiarity with the Python ML ecosystem (e.g., pandas, sklearn, xgboost, PyTorch) and comfortable reviewing designs, unblocking technical challenges, and setting high technical standards
• Experience supervising ML Engineers and/or Data Scientists; bonus points for experience managing Software Engineers
• Strong understanding of the full ML lifecycle, including data pipelines, workflow orchestration (e.g., Airflow), deployment, monitoring, and iteration in production
• Product-minded: passionate about technology, but primarily motivated by solving real user problems and driving business impact
• Experience working with large-scale, real-time or near-real-time data systems
• Comfortable owning and evolving the ML tech stack end-to-end, from data and modeling through production systems
• Background in consumer-facing products; experience in e-commerce, marketplaces, or complex user journeys is strongly preferred
• You're genuinely excited about what AI can do - not just as a concept, but as something you want to get your hands on. At Babylist, every team uses AI daily, and we're looking for people who lean in.

How You Will Make An Impact

• Build and lead the ML & personalization function: Hire, mentor, and support a multidisciplinary team (Machine Learning Engineers, Software Engineers, Product Manager, and occasional Designer), shaping the roadmap, standards, and culture for ML at Babylist
• Own high-impact ML initiatives: Deliver personalization systems that improve discovery, engagement, and monetization across key surfaces, directly impacting business outcomes
• Set technical and algorithmic direction: Define modeling approaches, data strategy, and system architecture in partnership with senior technical leaders, balancing experimentation with scalable execution
• Be hands-on when needed: Review ML/DS designs and code, build proof-of-concept models, and conduct your own data science research to de-risk ideas and accelerate progress
• Develop talent: Coach engineers on technical growth, career progression, and performance, combining strong technical standards with empowerment
• Drive cross-functional alignment: Partner closely with Product, Design, Analytics Engineering, and Data to translate ambiguous business problems into clear technical direction
• Understand the full funnel: Develop a deep understanding of Babylist’s user journeys, user feedback loops, and financial models — and how ML systems influence them end-to-end

About Compensation

We use a market-based approach to compensation. The starting salary range for this role is:

USD - $250,000 to $308,000
CAD - $230,000 to $288,000

Your starting salary will be based on your location, experience, and qualifications, with increases over time tied to performance, role growth, and internal pay equity.

Why You Will Love Working At Babylist

Our Culture

• We work with focus and intention, then step away to recharge
• We believe in exceptional management and invest in tools and opportunities to connect with colleagues
• We build products that positively impact millions of people's lives
• AI tools are as natural to how we work as your IDE or version control — we're not exploring this, we're living it.

Growth & Development

• Competitive pay and meaningful opportunities for career advancement
• We believe technology and data can solve hard problems
• We're committed to career progression and performance-based advancement

Compensation & Benefits

• Competitive salary with equity and bonus opportunities
• Company-paid medical, dental, and vision insurance
• Retirement savings plan with company matching and flexible spending accounts
• Generous paid parental leave and PTO
• Remote work stipend to set up your office
• Perks for physical, mental, and emotional health, parenting, childcare, and financial planning

Important Notices

Recorded Interviews Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription.

Interview Integrity At Babylist, every team uses AI daily and we love it. During interviews though, we want to see you — your thinking, your problem-solving, your creativity. All interviews and assessments should be completed independently without AI tools or third-party assistance unless we tell you otherwise. We'll always be clear when AI is welcome. Misrepresentation during the process may result in removal from consideration.

Protect Yourself from Scams All official communication comes from the Babylist Talent Team via @babylist.com email addresses. We will never ask for payment, bank information, or personal financial details. If you receive outreach via WhatsApp, Telegram, or a non-Babylist email, it's not us. Verify open roles on our careers page.

Connections at Babylist In line with our conflict of interest policy, please let us know if you have a family member or close personal relationship with a current Babylist employee. This helps us keep our process fair for everyone.

Text Message Updates You may opt in to receive SMS updates about your application. Opting out won't affect your status. Message and data rates may apply. Reply STOP to unsubscribe or HELP for assistance. See our Privacy Policy for details.

Role & Team

As a Data Engineering Manager, you will lead across several cross-functional teams, managing up to ~10 data engineers and GIS specialists. You will support teams working on data processing and pipelines to enable ML-powered product capabilities.

Our product teams are cross functional and will typically include product managers, designers, engineers and subject matter experts relating to the team’s domain.

You will be accountable for the technical direction and delivery outcomes of your area. You will challenge your teams to pursue ambitious goals while providing a high level of support — growing engineering talent and fostering a highly collaborative, team-based environment where people can do great work.

Your primary focus will be on building high-performing teams and driving results through others. You will not be expected to spend significant time doing hands-on coding; however, you will be expected to dive deep technically when required and leverage your experience to support strong technical decision-making.

Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)

What You'll Do

• Enable our data engineers to become highly productive members of their cross-functional teams, empowering them to ship high-quality, reliable data platforms and pipelines on a daily basis.
• Grow the teams by attracting great talent from your network.
• Foster an inclusive and caring culture where everyone can do their best work.
• Provide regular 1:1 coaching and feedback to tap into the potential of all your team members and help them thrive and reach their aspirations.
• Be a strategic partner to product managers, machine learning engineers, and other stakeholders within your domains and ensure that we are making the correct data architecture and platform decisions that balance short and long term goals.
• Ensure suitability of the data architecture, pipelines, and data models within your domains to enable longer term product, analytics, and machine learning goals.
• Work closely with the other Product & Engineering leaders on strategy, technology and people, including improving our data engineering practices and introducing capabilities that can accelerate data access, reliability, and unlock new product and data-driven opportunities

Skills & Experience

• Experience working in a high growth scaleup environment
• Passionate about climate
• Product minded and able to demonstrate significant impact you have had on a business through the application of data platforms and data-driven systems
• 2+ years experience leading and managing data engineers across multiple teams
• Experience working with the following (or similar) technologies: Python, SQL, data pipeline orchestration tools (e.g., Airflow, Dagster), data warehouses/lakehouses, Postgres DB, data pipelines
• Ability to unblock your team by contributing at a senior engineering level (e.g., reviewing data models, debugging pipelines, guiding architecture). How hands-on you'll be in this role will depend on team size and maturity
• Comfortable working in a build it, run it environment (GCP, cloud run, grafana, k8s) - or similar, with an understanding of data reliability, observability, and pipeline operations
• Strong leadership skills with the ability to mentor and coach engineers at all levels
• Excellent communication skills and ability to collaborate effectively in a cross-functional team environment
• Passion for learning and staying updated with evolving technologies and industry trends, particularly in data engineering and data infrastructure

Nice To Have

• Experience working with maps/imagery/geospatial domains  

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer

• Competitive, location-specific compensation and benefits 
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

Federato is on a mission to defend the right to efficient, equitable insurance for all. We enable insurers to provide affordable coverage to people and organizations facing the issues of today - the climate crisis, cyber-attacks, social inflation, etc. Our vision is understood and well funded by those behind Salesforce, Veeva, Zoom, Box, etc.

Federato’s AI/ML-driven platform leverages deep reinforcement learning to help insurance companies optimize the portfolio of risks they insure, allowing them to continue to provide fair and equitable pricing in difficult-to-price areas. Our category-defining ‘RiskOps’ solution drives better underwriting decisions by operationalizing underutilized data investments and surfacing real-time risk and portfolio insights. We focus on putting insurance underwriters back in the driver’s seat, helping them meet their goals while providing an important service to society.

What you'll be doing: 

• Project Planning & Execution: Lead the planning, execution, and delivery of customer-facing projects, ensuring all milestones and deadlines are met.
• Stakeholder Coordination: Work closely with internal teams, including product management, software development, QA, and operations, to ensure alignment on project goals, timelines, and deliverables.
• Documentation & Reporting: Maintain accurate project documentation, including schedules, scope, and project progress reports, and provide regular status updates to stakeholders.
• Risk Management: Proactively identify and manage risks, providing mitigation plans to ensure successful project delivery.
• Quality Assurance & Testing: Ensure that all deliverables meet the required quality standards and customer expectations by working closely with the QA team during the development lifecycle.
• Support Request Processing & Analysis: Manage and analyze customer support requests related to software delivery, identifying trends and potential issues, and ensuring timely resolution by coordinating with the appropriate teams.
• User Training & Office Hours: Lead user training sessions and conduct office hours to ensure customers are equipped to use the software effectively. Provide ongoing support during and after training to address any questions or challenges.
• Customer Usage Tracking & Improvement: Monitor customer usage of the software to identify adoption gaps or underutilized features. Proactively work with customers to improve software usage and drive greater value from the solution.

Who we hope you are: 

• 7-10 Years of experience in P&C or Specialty insurance, specifically underwriting, operations, product, process required 
• Experience in customer success, customer service or other client-facing, relationship management roles, or experience as a project manager in software delivery or IT project management.
• Strong understanding of software development methodologies (Agile, Scrum, Waterfall, etc.).
• Excellent communication and interpersonal skills, with the ability to manage relationships with both internal teams and customers.
• Ability to manage multiple projects simultaneously, while ensuring quality and timely delivery.
• Solid experience in risk management, issue resolution, and stakeholder management.
• Knowledge of project management tools (e.g., Jira, MS Project, Asana) and software development lifecycles.
• A customer-centric mindset with a focus on delivering exceptional results.
• PMP, Scrum Master, or similar certifications are a plus

Our base compensation amount for this role is targeted to $160,000-$180,000. Final offer amounts are determined by multiple factors, including candidate location, experience, and expertise, and may vary from the amounts listed above. Total compensation package does include stock options, benefits and additional perks. 

About the team + role 

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

The Robinhood Social team is building Robinhood's social trading platform — a feed-based experience where traders share insights, follow one another, and discover market-moving information in real time. The product is currently in beta, making this a rare ground up opportunity to shape the future of social experiences at Robinhood from the ground up. You'll work closely with product, design, data, machine learning, and safety teams to build reliable, scalable systems that support high-volume content, user interactions, and personalized discovery.

As an Engineering Manager for the Social team, you will lead a group of engineers building core social trading features. You will set technical direction, drive execution against product goals, and ensure systems meet reliability and performance standards. You will partner cross-functionally to define priorities, translate product needs into technical plans, and deliver end product. You will also grow engineers through feedback, goal-setting, and career planning.

This role is based in our New York, NY office, with in-person attendance expected  5 days per week.

What you'll do

• Lead a team building and scaling social interactions, content feeds, and user discovery features
• Set and communicate clear technical direction aligned with product strategy, holding a high bar for quality, performance, and maintainability
• Partner cross-functionally with design, product, data, machine learning, and safety teams to shape the social experience
• Drive architectural decisions and foster a culture of high-quality code and strong engineering processes
• Foster a collaborative, inclusive team environment where engineers across levels can grow, take ownership, and do their best work
• Support engineers through hiring, onboarding, performance feedback, and career development

What you bring

• 7+ years of professional software engineering experience
• 2+ years of engineering management experience leading product-focused engineering teams
• Strong foundation in building consumer-facing products at scale, with experience working through the stack
• Deep understanding of web architecture and best practices for building modular, scalable systems within large, evolving codebases
• Experience building and operating distributed systems that handle high traffic or real-time data
• Proven ability to grow engineers across levels through mentorship, feedback, and clear expectations
• An execution-focused mindset, capable of navigating ambiguity and delivering results
• Clear communication with both technical and non-technical partners

Leadership expectations

Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here’s what we expect from them:

• Drive high performance by setting clear, focused goals, giving real-time feedback, stretching top talent, and scaling impact through focus, innovation, and tech.
• Hire and retain top talent by setting a high bar, hiring only those who raise it, investing in onboarding, and addressing talent issues quickly and fairly.
• Create community by connecting work to purpose, removing friction while prioritizing safety, building trust and inclusion, and leading from the front with integrity.

What we offer

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
• Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
• Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.

About the Team:

We’re looking for a Staff Software Engineer I/II to join our Data Ingestion Team, which builds and operates the critical infrastructure that serves as the “front door” of StackAdapt’s event flow. In this role, you’ll own technical direction for critical parts of our ingestion platform, lead large-scale initiatives, and shape how data flows across the company.

The Data Ingestion team tackles complex distributed systems challenges at massive scale, with a focus on scalability, performance, and reliability. Our systems process over 10 billion events per day, powering core functions across bidding, reporting, billing, analytics, and machine learning. You will work on challenging technical problems and partner with teams across the company to drive key initiatives.

We design + build low-latency, highly reliable distributed systems for impressions, clicks, conversions, and third-party signals, ensuring data is accurate and available to downstream teams in real time. This is a high-impact area at the core of StackAdapt’s platform, the systems you own will directly shape data quality, system reliability, and the speed at which teams across the company can build and innovate. Our work sits at the cutting edge of large-scale distributed systems, leveraging modern technologies and architectures to solve complex real-time data challenges. The core stack includes Golang, Kafka, TiDB, Aerospike, Vitess, Kubernetes, and more.

If you enjoy solving complex distributed systems problems at scale and driving technical impact across teams, this role would be a great fit for you.

StackAdapt is a Remote First company. We are open to candidates located anywhere in Canada or the United States for this position.

What You’ll Be Doing:

• Own and lead large technical initiatives end-to-end, from design through production and monitoring
• Provide technical leadership and mentorship to engineers across the team
• Design, build, and operate highly scalable, distributed ingestion services for real-time and near-real-time scenarios
• Contribute hands-on as needed while enabling the team to execute effectively
• Build and maintain event ingestion pipelines using streaming technologies like Kafka
• Work with high-volume storage systems and databases to persist and serve data efficiently
• Partner with Data, ML, Product, and Platform teams to support evolving requirements
• Improve code quality, testing practices, system reliability, and observability
• Participate in design reviews, code reviews, and architectural discussions
• Balance and prioritize projects to maximize impact and align with company objectives

What You’ll Bring to the Table:

• Extensive experience building distributed systems and high-throughput backend services
• Proven ability to lead technical direction and drive large, cross-team initiatives
• Strong problem-solving and communication skills, with comfort working in ambiguous, complex domains
• Collaborative mindset with the ability to influence across teams
• Ability to think strategically, lead technically, and drive high-impact, scalable solutions
• Hands-on experience with streaming systems (Kafka or similar)
• Strong understanding of distributed systems trade-offs (consistency, availability, partition tolerance, scalability)
• Maintains an AI-forward approach to software engineering - leveraging AI to boost productivity, collaboration, and business automation
• Bonus: Familiarity with AdTech, event-driven architectures, or analytics systems

#LI-TM8

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the role

Our Product Marketing team’s mission is to generate customer insights that inform Stripe’s product strategy, and lead go-to-market for our suite of products. Product Marketing is a highly cross-functional role at Stripe, partnering closely with Product and Engineering, Sales, Partnerships, Demand Generation and Campaigns to name a few. Different from many other Product Marketing teams, our team works across the entire product lifecycle, from helping shape the product to driving launch and commercialization, to growing product adoption post-launch across both self-serve and sales-sold funnels.

We are looking for an experienced and strategic Senior Product Marketing Leader to drive the overall marketing strategy for a critical subset of Stripe's revenue automation products, specifically Stripe Tax and Stripe Data (Sigma and Data Pipeline). In this high-impact role, you will be responsible for defining the global narrative, messaging, and positioning for these products, as well as developing and executing a comprehensive go-to-market (GTM) strategy. You will serve as a key leader, engaging deeply with cross-functional teams across Sales, Campaigns, Demand Generation, and Product Management to drive overall awareness, pipeline generation, and revenue growth across Stripe’s existing customer base and new prospects. This is a crucial role for a leader who can operate at a strategic level while also ensuring executional excellence across multiple distinct product lines.

What you’ll do

• Be a storyteller. You have deep empathy for users and are able to adapt how you communicate to best reach and engage your audience and differentiate Stripe. You have excellent verbal and written communication skills
• Lead with data. You like working with data and insights and pair that with your passion for users to generate balanced and thoughtful points of view for how to take our products to market
• Keep things organized. You are able to manage highly interdependent, complex projects and keep various workstreams on track. You are able to manage highly interdependent, complex projects and keep various work streams on track
• Have a passion for technology. You are keen to learn about how things work and are able to explain technical concepts in ways that everyday people can understand. You are an avid user of AI to drive efficiency. You are an avid user of AI and ML technologies to drive efficiency in your work and find creative solutions.
• Be Ambitious. You are eager to make an impact at Stripe. You thrive in a fast-moving, dynamic, hyper-growth environment and are able to operate fluidly between the 30,000-foot strategy level and the micro-detail to get things right
• Lead and Mentor. You are an experienced, empathetic, and hands-on leader with a track record of developing and mentoring high-caliber talent. You can seamlessly balance strategic leadership with getting into the details to execute and drive results.

Responsibilities

• Develop go-to-market strategies to drive growth of Stripe Tax and Data products. Deeply understand the market, target segments, customer needs - and use this knowledge to develop high-impact marketing strategies to drive growth across the self-serve and sold funnels.
• Lead a small but mighty high performing team. Develop go-to-market strategies to drive growth of Stripe Tax and Data products. Deeply understand the market, target segments, customer needs - and use this knowledge to develop high-impact marketing strategies to drive growth across the self-serve and sold funnels.
• Partner closely with Product Management, Sales, and Corporate Marketing to shape the product roadmap, messaging, and positioning for Revenue products.
• Create compelling and differentiated product narratives, core messaging, and customer-facing content (e.g., website copy, sales decks, case studies).
• Lead a small but mighty high performing team.

Who you are

Minimum requirements

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. 

• 10+ years of product marketing experience, with 3+ years as a people manager
• Exceptional cross-functional leadership and ability to influence across all levels and functions, from senior leadership to project teams.
• High comfort toggling between big-picture strategy and detailed execution, with a strong bias to action
• Excellent communication and presentation abilities, with a proven track record explaining technical concepts in ways that technical and non-technical audiences can understand
• Proven ability to partner with Sales

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Stripe processes over $1T in payments volume per year, which is roughly 1% of the world’s GDP. The tremendous amount of data makes Stripe one of the best places to do machine learning. The ML Infra team builds services and tools that power every step in the ML lifecycle, including data exploration, feature generation, experimentation, training, deploying, serving ML models, and building LLM applications. With the phenomenal developments happening in the field of AI, we are positioned to accelerate the adoption of AI/ML across all parts of the company by building highly scalable and reliable foundational infrastructure.

What you’ll do

You will work closely with machine learning engineers, data scientists, and product engineering teams to enable seamless end-to-end experience in building solutions across data, analytics, and AI/ML platforms. You will build the next generation of ML Infra services and major new capabilities that substantially improve ML development velocity and MLOps maturity across the company.

Responsibilities 

• Designing and building scalable, reliable, and secure services for notebooks, ML model training, experimentation, serving, and LLM applications across multiple regions. 
• Creating services and libraries that enable ML engineers at Stripe to seamlessly transition from experimentation to production across Stripe’s systems. 
• Working directly with product teams and ML engineers to improve their day-to-day productivity. 
• Taking ownership of and finding solutions for technical and product challenges by working with a diverse set of systems, processes, and technologies.

Who you are

We’re looking for people with a strong background or interest in building successful products or systems; you’re passionate about solving business problems and making impact, you are comfortable in dealing with lots of moving pieces; and you’re comfortable learning new technologies and systems. You are comfortable working with other Stripe teams across the US and Canada.

Minimum requirements

• 2+ years of professional software development experience with a solid background on service oriented architecture and large-scale distributed systems
• Experience working through the full life cycle of software development, from talking to users, to design and implementation, to testing and deployment, to operations
• Experience working on production ML platforms, MLOps solutions, or building LLM applications
• Experience running operations for high availability, low latency systems
• Experience partnering with other teams to drive business outcomes
• A sense of pragmatism: you know when to aim for the ideal solution and when to adjust course

Preferred qualifications 

• Experience building and shipping production AI agents
• Familiarity with the LLMs and LLM Frameworks
• Experience training and shipping machine learning models to production to solve critical business problems

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world's largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

The Merchant Experience team builds the UI operating system and core experiences that power decades of growth for millions of businesses globally, enabling Stripe to be the business SaaS solution of choice for next-gen companies. We own the foundational platforms and product surfaces that merchants interact with every day - from the Stripe Dashboard to the frameworks and tooling that hundreds of Stripe engineers use to build world-class user interfaces.

We're at an inflection point. AI is fundamentally changing how users interact with software, and we believe Stripe is uniquely positioned to reimagine what a merchant experience looks like in an AI-native world. At the same time, we're raising the bar on the quality and performance of everything we ship - because the millions of businesses that depend on Stripe deserve an experience that is fast, reliable, and crafted with care.

What you'll do

As a Senior Staff Engineer on the Merchant Experience team, you will be a technical leader responsible for shaping the next generation of how Stripe merchants interact with our products. You'll drive a step-function improvement in the quality and performance of our core surfaces, and help define what AI-powered merchant experiences look like at Stripe.

Responsibilities

• Define technical strategy for merchant-facing experiences across Stripe, with a focus on quality, performance, and the integration of AI into core user workflows
• Lead the design and delivery of complex, cross-team projects that measurably improve the reliability, responsiveness, and polish of Stripe's merchant surfaces
• Champion a quality-first engineering culture - establish standards, tooling, and processes that make it easy to ship high-quality, performant UI by default
• Drive performance as a product feature - own the technical approach to making the Dashboard and merchant tools best-in-class in speed and responsiveness, including instrumentation, budgets, and architectural improvements
• Innovate on the future of merchant UX - explore and prototype how AI can transform the way merchants discover, configure, and operate Stripe products, moving beyond traditional dashboard paradigms
• Build platforms and abstractions that make Stripe engineers more productive - frameworks, components, and developer tools that encode best practices for quality and performance
• Partner across Stripe with Product, Design, AI/ML, and infrastructure teams to translate high-level product vision into a concrete technical roadmap
• Mentor and grow engineers across the organization, raising the technical bar and fostering a culture of craftsmanship and high standards

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply.

Minimum requirements

• This is a Senior Staff role - the expected scope of this role includes overseeing the work of 4-6 teams and owning an entire portfolio of products - and while there’s no strict minimum we're looking for, most candidates will have at least 10-15 years of experience in the industry
• Experience building and shipping complex, user-facing web applications that have reached large-scale audiences (hundreds of thousands of users) or have been contributed to by hundreds of engineers
• A track record of leading large-scale, cross-functional engineering projects with broad organizational impact
• Deep expertise in modern frontend and full-stack development - you have strong opinions on what makes a great user experience and the technical skills to make it real
• Demonstrated ability to drive measurable improvements in software quality and performance (e.g., load times, reliability, test coverage, error rates)
• Experience influencing technical direction and driving alignment across multiple teams without formal authority
• Excellent communication skills - you can articulate a compelling technical vision to engineers, product leaders, and executives alike

Preferred qualifications

• Experience building or maintaining design systems, component libraries, or frontend platform infrastructure at scale - ideally with React
• A deep interest in the intersection of AI and UX - you think critically about how emerging technologies change interaction models and are excited to pioneer new paradigms
• Experience with performance engineering: profiling, instrumentation, budgeting, and optimization of modern web applications
• Experience with the complexities of deploying large web applications at global scale - bundling, CDNs, browser compatibility, and build tooling
• Comfort working across the full stack - while this role skews frontend, you're not afraid to dive into APIs, backend services, or data layers when that's what the problem requires
• Familiarity with distributed systems, API design, and building platforms that serve both internal developers and external users
• A passion for developer experience and making other engineers more productive
• Experience mentoring senior engineers and contributing to engineering culture and hiring
• Hands-on experience integrating AI-powered capabilities into user-facing products - you've helped ship features that make complex workflows simpler and more intelligent

Who we are

About Stripe 

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the organization 

Stripe Infrastructure is responsible for the reliability, scale, performance, and cost of Stripe’s systems and the productivity and sentiment of Stripe’s people. 

You may work on a wide variety of critical business areas including: 

• Core Infrastructure - We’re the home for Stripe's critical tier0 infrastructure systems (Compute, Networking, DocumentDB, Distributed Caching and High assurance engineering). We build the foundational platform for Stripe products and services to allow them to operate at scale. We drive reliability, availability, efficiency and scalability of these systems.
• Developer Infrastructure - We’re responsible for the productivity of all developers at Stripe. Ensure Stripe’s engineers have a reliable, fast, and easy-to-use inner dev loop to maximize productivity while building everything from low-latency microservices to large-scale data pipelines and machine learning models
• Data Platform -  We’re responsible for offering data serving infrastructure spanning across data warehouse analytics, streaming analytics and search capabilities. The stack is supported by a collection of internally developed large scale distributed services and several popular open source technologies like Trino/Presto, Apache Pinot, Hive Metastore, ElasticSearch etc. The systems we own support all of the data serving needs of high scale services and thousands of individual Stripes across the company. 
• Admin Platform - We empower Stripes to quickly build secure and delightful internal products in service of their users.
• Support Experience - We build and improve our 24x7 email, phone, and chat support channels, our Premium Support and Enterprise Services products, our Support Site, and more. This includes how users get help within our products, how they get in touch with us when they have questions, and how our teams use internal tools to answer those questions.
• Service Platform - We enable engineering teams at Stripe to easily write and ship useful services that correctly, reliably, and efficiently leverage platform capabilities. 

Team Matching: exact team matching for one of the subteams will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. More information on our team matching process can be found here.

What you’ll do

You will work on projects that span technologies, systems, and processes where you will design, build, test, and ship great code every day.

Responsibilities

• Build a great customer experience for internal and external Stripe teams using our infrastructure
• Participate in roadmap planning and prioritization
• Deliver value through a strong collaborative approach with multiple customers and stakeholders across Stripe
• Debug production issues across services and several levels of the stack

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum Requirements 

• Strong software engineering skills and a passion for one of the areas above.
• Ability to write high quality code (in programming languages like Go, Java, C/C++ etc)
• 2-12+ years of professional hands-on software development experience, able to write well-factored algorithms and have experience with commonly used data structure and algorithms
• Hands-on experience contributing to or building large scale distributed systems
• Strong collaboration skills, can work across workstreams within your team and contribute to your peers’ success
• Customer obsession, ability to articulate and represent customer experience in various forums to drive the right outcome
• Have the ability to thrive on a high level of autonomy, responsibility, and think of yourself as entrepreneurial

Preferred Qualifications

• Experience optimizing the end to end performance of distributed systems
• Focuses on the needs of our users, both internal and external
• Holds yourself and others to a high bar when working with production

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Web Presence and Platform is organized into two pillars, each of which is grouped into pods that focus on the central tenets of Stripe's public mission. The Presence pillar creates industry-leading designs for Stripe’s front door surfaces, educating customers about the power of our platform, sharing Stripe’s ideas and expertise with the public, and driving adoption. The Platform pillar builds the internal machinery that powers these surfaces, and is responsible for making our websites fast, stable, and easy to update.

Together we design and build stripe.com and other sites that amount to what is, for many, their first impression of Stripe. As such, WPP offers exciting opportunities to have a major impact on Stripe’s success. We want to make every pixel count, we want it to be enthralling, and we want to help other Stripes seamlessly benefit from our systematic work.

While the team's mission anchors to web surfaces, this role lives deeper in the stack. You will be the engine behind the experiences rather than the pixel-level presentation — APIs, data pipelines, model orchestration, and service reliability that make LLM-driven user experiences possible at scale.

What you’ll do

The Expansion pod brings creativity and executional rigor to attracting new prospects and driving conversion, focusing on user journeys, interactive and highly polished tools for users, and building targeted experiences for our global users.

As a backend engineer you will architect and build the server-side systems and LLM orchestration layers that power intelligent, dynamic user experiences across acquisition journeys. You will design the APIs, data pipelines, and inference infrastructure behind delightful and original interactive tools and resources that attract users. You will collaborate deeply across design, engineering, and cross-functional teams and work across teams and tech stacks to create new site capabilities — with a specific focus on integrating large language models into production-grade services that are reliable, performant, and safe.

This is not a research or ML training role. You will be responsible for wiring LLMs into real user-facing products: managing prompt pipelines, handling model routing and fallback logic, implementing guardrails and output validation.

Responsibilities

• Develop and implement the tooling and platforms to support interactive content tools (e.g., calculators, generators, templates) that provide utility to current and prospective businesses.
• Utilize a user-first mindset to implement feedback mechanisms for continuous improvement of content and product offerings.
• Design and build integrations to third-party software and create seamless workflows across these tools to unleash their full potential to the rest of Stripe.
• Ensure reliability, security, and responsible AI practices across all LLM-driven features, including implementing content filtering, PII handling, rate limiting, graceful degradation, and output guardrails.
• Work with a small team of technically sophisticated engineers who put users first.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 5+ years of backend development experience, with emphasis on building APIs and services that power user-facing experiences
• Experience writing clear, elegant code in a team environment
• Familiarity with LLM APIs and concepts — prompt engineering, token management, embedding models, retrieval-augmented generation, or function calling. You don't need to be a researcher, but you should understand how these models work well enough to build production systems around them.

• Experience building and operating distributed backend systems — you're comfortable with service-oriented architectures, async processing, caching layers, and monitoring/alerting in production.
• Passion for engineering solutions focused around growth hacking & enablement 
• Excellent verbal and written communication

Preferred qualifications

• Proven ability to stitch different services and processes together even if you have not worked with them before
• Experience in developing interactive tools and integrating them with existing systems.
• Experience building highly complex interactive tools, including state management and data fetching
• Experience with data pipeline orchestration (Airflow, Dagster, Temporal, or similar) and structured output parsing from LLMs
• Experience with prompt versioning, A/B testing model outputs, or building model gateway/routing layers that allow teams to swap or compare providers (e.g., OpenAI, Anthropic, open-source models)
• Proficiency with React, with a focus on interactions, animation, performance, and polish
• Experience with A/B testing, synthetic monitoring, or accessibility testing

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the teams

MaaS (“Money as a Service”) Data Science

The MaaS Data Science team is central to all money movements, embedded finance, and platform solutions for our biggest and most complex customers.  The two roles available are in Embedded Finance (Capital, Issuing) and Connect (Stripe’s solution and growth suite for platforms and marketplaces).  We set the data foundations for company wide data primitives + external products; drive strategy through modelling, analytics, and experimentation; build world class data-driven + ML powered product experiences; and partner closely with cross-functional partners across all facets of the business (Product, Engineering, Risk, Marketing, Ops, Strategy, and more) to ensure the success of our Connect, Capital, and Issuing product suite.  

Growth Data Science

The Growth Data Science team helps businesses on Stripe get started both quickly and effectively. We work closely with Growth product and engineering leads to optimize every step of the user journey, from awareness and acquisition, through product adoption, to usage growth and retention. Our team is known for being an experimentation powerhouse, for pushing the frontiers of causal analysis and cumulative impact measurement, and for developing a deep understanding of the user journey that helps drive the product roadmap. We work closely with Growth Product and Engineering, and more broadly with Sales, Marketing, Developer Platform, Support, and Risk teams.

What you’ll do

Data Science Managers at Stripe are responsible for the success of their team. You’ll be deeply involved in the modeling and design processes as well as coaching, mentoring, and leading the team. You’ll have a deep understanding of how to drive efficient data science teams and you’ll have a strong user-focus. You’ll be working with data scientists, analysts and engineers on creating technical solutions and communicating effectively across teams and senior leadership.

Responsibilities

• Drive the roadmap and priorities for your team, and work with many Stripe leaders across the company to enhance our ability to be data driven.
• Collaborate with stakeholders across the organization such as engineering, analytics, operations, finance, and marketing.
• Lead and manage processes to help the team do its best work and engage effectively with the rest of Stripe
• Manage a high-performing team of data scientists, supporting them to achieve a high level of technical excellence and advance in their careers.
• Recruit and onboard great data scientists, in collaboration with Stripe’s recruiting team
• Contribute to broad data science initiatives as a member of Stripe’s data science management team.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• A PhD or MS or BS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Engineering).
• You have at least 3 years of direct management experience leading data science or ML teams, and 10 years of overall data science experience.
• You have demonstrated expertise in designing metrics and guiding business decisions with data.
• You have technical expertise to drive clarity with staff and senior scientists about architecture and strategic modeling decisions.
• You’ve managed teams that have built and shipped machine learning systems and data products at scale, and have hands-on experience with challenging problems.
• You work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs.
• You have clear and persuasive communication skills in writing and verbally.
• You thrive on a high level of autonomy and responsibility.
• You foster a healthy, inclusive, challenging, and supportive work environment.

Preferred requirements

• You are comfortable working with geographically distributed teams
• Expertise in time series forecasting, predictive modeling, or optimization
• Expertise in data design and building scalable data architectures

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

The Supportability Evaluation team acts as stewards of the financial ecosystem. Our mission is to protect Stripe’s reputation with our global financial partners by architecting highly precise, automated supportability controls. We develop the AI/ML models and systems that detect and action supportability violations in real-time. We're responsible for building high-fidelity detection engines that ensure our merchants remain compliant across the globe, balancing the scale of millions of users with the surgical precision required by the world’s largest financial institutions.

What you’ll do

As a Machine Learning Engineer in Supportability, you will be responsible for designing, building, training, evaluating, deploying, and owning AI/ML models in production. You will work closely with software engineers, machine learning engineers, product managers, and data scientists to operate Stripe’s ML powered systems, features, and products. You will also have the opportunity to contribute to and influence AI/ML architecture at Stripe and be a part of a larger community.

Responsibilities

• Design state-of-the-art AI/ML models and large scale systems for detection and decisioning for Stripe products based onAI/ML principles, domain knowledge, and engineering constraints
• Drive the expansion of Stripe's largest LLM-based system, scaling its usage and integrating new capabilities through agentic approaches or supervised learning.
• Rapidly prototype new AI/ML-based approaches to achieve key business goals.  
• Develop processes to train and evaluate models in offline and online environments
• Integrate models into production systems and ensure their scalability and reliability
• Collaborate with product and strategy partners to propose, prioritize, and implement new product features
• Engage with the latest developments in AI/ML and take calculated risks in transforming innovative ideas into productionized solutions
• Explore cutting-edge AI/ML techniques and evaluate their potential to solve business problems

Who you are

We are looking for ML Engineers who are passionate about building AI/ML and AI systems that touch the lives of millions. You have experience building and evaluating advanced AI/ML models, and deploying them to production. You are comfortable with ambiguity, love to take initiative, have a bias towards action, and thrive in a collaborative environment.

Minimum requirements

• 2+ years of industry experience building and shipping AI/ML systems in production
• Proficient with AI/ML libraries and frameworks such as PyTorch, TensorFlow, XGBoost, as well as Spark 
• Knowledge of various AI/ML algorithms and model architectures
• Hands-on experience in designing, training, and evaluating machine learning models
• Hands-on experience in productionizing and deploying models at scale
• Experience rigorously evaluating model performance, including cleaning data, and working with data-generating processes to improve signal and reduce noise in high-noise datasets.
• Proficiency in creatively applying modern machine learning techniques and Generative AI models to solve complex business problems.

Preferred qualifications

• MS/PhD degree in AI/ML or related field (e.g. math, physics, statistics)
• Experience with DNNs including the latest architectures such as transformers and LLMs
• Experience working in Java or Ruby codebases
• Proven track record of building and deploying AI/ML systems that have effectively solved ambiguous business problems
• Experience with online experimentation such as A/B testing or multi-armed bandits.
• Experience with model calibration

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

The Support Experience engineering organization builds and improves Stripe’s user support from end to end: how users get help within our products, how they get in touch with us when they have questions, and how our teams use internal tools to answer those questions. We’re accountable for the quality and reliability of this support stack and we use data and firsthand user research to continuously improve it. 

Providing great support to users of all sizes is culturally important to everyone at Stripe. We are a group of friendly, user-oriented engineers that partner closely with Stripe’s world-class design, product, and operational teams. This includes the external-facing support interfaces (support.stripe.com), content, entry points, internal tooling, case routing, and helping product teams across the company reduce support volume by improving our products. We are also using the latest generative AI technologies to re-imagine support experiences, and are developing AI assistants for Stripe’s users and internally to help our operations teams be more productive.

What you’ll do

As a Machine Learning Engineer on the Support Experience team, you'll play a crucial role in enhancing our self-serve support experiences. You will be responsible for designing, building, training, evaluating, deploying, and owning ML models in production. For example, we apply LLMs to answer user questions with conversational agents and personalize product documentation, and are building automated systems to solve complex user problems. You will work closely with software engineers, machine learning engineers, product managers, and data scientists to operate Stripe’s ML powered systems, features, and products. You will also have the opportunity to contribute to and influence ML architecture at Stripe and be a part of a larger ML community. 

Responsibilities

• Design  and implement state-of-the-art ML models and large scale ML systems for enhancing self-serve support capabilities, balancing ML principles, domain knowledge, and engineering constraints
• Develop and optimize contextual conversation models and ML-powered resolution flows for common support scenarios, using tools such as PyTorch, TensorFlow, and XGBoost
• Create and refine pipelines for training and evaluating models in both offline and online environments, with a focus on improving support quality and user satisfaction
• Implement ML features that streamline information collection and processing for support agents, enhancing overall support efficiency
• Collaborate with product, strategy, and content teams to propose, prioritize, and implement new AI-driven support features and improve answer capabilities
• Stay current with the latest developments in ML/AI, particularly in natural language processing and conversational AI, and apply innovative ideas to improve support experiences

Who you are

We are looking for ML Engineers who are passionate about building ML systems that touch the lives of millions. You have experience developing efficient feature pipelines, building advanced ML models, and deploying them to production. You are comfortable with ambiguity, love to take initiative, have a bias towards action, and thrive in a collaborative environment.

Minimum requirements

• Bachelor's Degree in ML/AI or related field (e.g. math, physics, statistics)
• 3+ years in AI/ML and backend engineering, including building and operating production ML systems at global scale with stringent SLOs—balancing reliability, latency, and cost—with privacy, security, and compliance by design.
• Deep and up-to-date applied LLM experience: RAG/embeddings, tool use/function calling, agentic planning/orchestration architectures, post-training methods, code generation, benchmarks and evaluations, etc. Familiarity with classical ML methods and common frameworks e.g. Pytorch, TensorFlow.
• Proficient in Python; strong distributed systems and data science fundamentals.
• Experience working closely with product management, design, other engineers, and other cross-functional partners.
• Strong technical leadership and communication: mentoring and elevating engineers, elevating AI/ML awareness and posture within organizations, setting architectural direction, and driving alignment in ambiguity.

Preferred qualifications

• MS/PhD degree in ML/AI or related field (e.g. math, physics, statistics)
• Experience working in Java or Ruby codebases
• Experience designing, deploying, and owning Agentic LLM solutions (e.g., multi-step orchestrators, tool use/function calling) specifically for complex customer support or internal workflow automation.
• Comfortable working with distributed teams across multiple locations and time zones

Role Summary

We’re looking for a Digital Content & AI Automation Manager to lead our transition to 'Vibe Marketing.' Inspired by the shift toward Vibe Coding, we want to bridge the gap between creative intent and digital execution. You’ll move Okta away from manual tickets and rigid CMS forms toward an agentic, self-service model—building the tools that allow marketers to describe a goal in natural language and see it manifest across our digital ecosystem.

This is a test, learn, build, iterate role. You aren't just managing a stack; you’re building an autonomous engine that empowers every marketer to be a creator.

What You’ll Actually Do

• Build the "Vibe Marketing" tools: Create the workflows and agentic layers that allow non-technical stakeholders to manage and scale digital content across its entire lifecycle using natural language and AI assistance.
• Develop Agentic Support Models: Prototype and deploy AI agents that act as "co-pilots" for Marketing Managers—handling everything from automated tagging and metadata to complex distribution across our headless ecosystem.
• Architect Self-Service Systems: Reduce the "time-to-live" by building modular, reusable content structures that agents can manipulate, moving us beyond the constraints of traditional platforms like Adobe Experience Manager.
• Operate Like a Lab: Run rapid experiments with emerging AI tools and automation platforms. Build scrappy prototypes—not just strategy decks—to prove that "vibe-based" creation works at enterprise scale.
• Partner Across Teams: Bridge the gap between "what if" and "here’s how," working with Marketing, Engineering, and Digital teams to turn agentic concepts into production-ready workflows.

What We’re Looking For

• The "Vibe" Mindset: You understand the shift from "doing the work" to "directing the agents." You’ve followed the Vibe Coding movement and are itching to apply it to Marketing Tech.
• 4–8 Years of Experience: You’ve seen the limitations of legacy CMS architectures and are ready to bypass those bottlenecks by building a modern, agent-led content supply chain.
• Hands-on AI & Automation: You don't just prompt; you build. You have experience with APIs, MCP, LLM orchestration, and connecting tools to create seamless loops.
• Technical Fluency: You aren't a full-stack engineer, but you understand how to navigate enterprise complexity—you're comfortable with structured content, and the logic of how data flows between a headless CMS, an LLM, and the front-end.

#LI - Hybrid

P24086_3333054

The Growth Alliance enables HelloFresh to expand by getting more customers to try, recommend, and return to our products. We build digital experiences used by customers around the world, including our checkout funnel, discounting and wallet services, experimentation platforms, and referral technology.

If you’re excited about building customer-facing products at global scale—and shaping how millions of people interact with food and technology—this is a strong place to grow your impact.

S'more about the team

As a Mid-Level React Native Developer, you’ll join a cross-functional team building features that empower both customers and internal stakeholders. You’ll contribute to developing high-quality mobile and web experiences using modern technologies, with a focus on performance, accessibility, and maintainability.

You’ll work closely with senior engineers while taking ownership of well-defined features end-to-end, growing your technical depth and product intuition over time.

We’re also increasingly leveraging AI-driven tools and systems—from developer productivity (e.g., code generation, testing support) to customer-facing experimentation and personalization—so you’ll have opportunities to build and iterate in an evolving, AI-enabled environment.

Lettuce share what this role will be responsible for

• Collaborate within a cross-functional team of engineers, product managers, designers, and analysts
• Build, test, and ship features that improve the customer experience and drive growth
• Contribute to code quality, performance, and maintainability of our mobile applications
• Participate in system design discussions and help implement scalable solutions
• Work with backend services and APIs to deliver seamless end-to-end functionality
• Use data and experimentation to inform product decisions and iterate on features
• Contribute to a culture of continuous improvement through code reviews and team discussions
• Stay current with emerging tools and practices, including AI-assisted development workflows
• All other duties, as assigned

Sound a-peeling? Here's what we're looking for

• 2–4 years of experience working with React / React Native
• 2–4 years of experience building mobile applications (iOS and/or Android) using technologies such as Swift, Kotlin, or React Native
• Solid understanding of integrating frontend applications with backend services and APIs
• Experience with testing (unit, integration, or end-to-end) and CI/CD pipelines
• Familiarity with agile development and working in cross-functional teams
• Ability to collaborate effectively with designers and product managers
• Strong problem-solving skills and a willingness to learn and grow
• Nice to have: Experience with experimentation platforms (A/B testing)
• Nice to have: Exposure to AI/ML-powered features or tools (e.g., personalization, recommendations, or developer tooling)
• Nice to have: Experience optimizing performance for mobile applications at scale

Let’s cut to the cheese, this is why you'll love it here

• Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.
• Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!
• Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance. 
• Family Benefits - A parental leave top-up program for expectant parents.
• Growth & Development - We support your career progression and invest in your continued learning through experiences and initiatives owned by our dedicated L&D team
• Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!
• Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.
• Food Puns - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names!

Flexible Hybrid Approach

At HelloFresh, we know that flexible work arrangements are essential in enabling you to do your best work, while balancing your personal and life needs. Offering remote work flexibility, along with the opportunity to interact and collaborate in the office are all a part of creating a great employee experience. 

To meet these needs, we are pleased to provide Flexible Hybrid work. Flexible Hybrid is a people-first approach that is based on choice, trust, personalization, and empowers teams to choose when and how often they work from the office and work from home, in addition to team days and company days. This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week.

#LI-HYBRID

HelloFresh Canada uses AI-integrated technology to help us process and evaluate applications more efficiently. This includes tools that screen and assess candidate qualifications based on the requirements for this role. While these tools assist our workflow, all final selection decisions are made by our hiring team.

This is a posting for an existing vacancy. We are actively seeking to fill this position.

Engineering

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

Brex’s Governance, Risk, and Compliance function is at an exciting and pivotal point in our maturity journey and we’re seeking a team member who can seamlessly bridge compliance expertise with technical execution. As a Senior GRC Engineer, you will drive critical GRC processes that mitigate risk, keep us compliant, and build trust with our customers and partners. You'll evolve the technical foundation of our Trust program by automating security controls, building integrations between security tools and GRC platforms, and creating scalable processes that enable Brex to maintain compliance efficiently as we expand into new markets. You'll work at the intersection of security, engineering, and compliance — translating regulatory requirements into technical solutions and building automation that eliminates manual toil.

You'll leverage your deep understanding of SOC 2, PCI DSS, ISO 27001, AI governance frameworks, and others to both design controls for emerging compliance requirements and mature existing programs through automation and continuous monitoring. You’ll support Trust Assurance, Third Party Risk Management, and other Security Risk Management initiatives. Working with our Engineering, Infrastructure, and Product teams, you'll translate compliance frameworks into technical controls and build automated systems that help us achieve world-class security as Brex expands.

Your contributions will directly accelerate Brex's maturity. You'll design workflows using Tines, build integrations between security and GRC systems, and create dashboards for security metrics. You'll implement controls across the technology stack, support multiple audits (SOC 2, PCI DSS, SOX/ITGC, FINRA, ISO), and contribute to AI governance framework implementation (ISO 42001, NIST AI RMF, EU AI Act).

You'll have autonomy to build innovative solutions, collaborating cross-functionally to implement controls that enable growth while communicating technical concepts effectively across the organization.

Where you’ll work

This role will be based in our Vancouver office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Manage and scale IT infrastructure, services and tooling
• Work with a diverse group of  IT partners to optimize our provided services
• Implement new services in support of Information Technologies vision
• Scale our services by implementing configuration as code via Terraform providers or APIs
• Operationalize and upskill IT and its partners by producing documentation and leading training sessions
• Evangelize best practices both internally and externally facing

Requirements

• 5+ years of experience in GRC, IT Governance, or Security Engineering with a strong track record of automating manual compliance workflows.
• Deep experience with security frameworks such as SOC 2, PCI DSS, ISO 27001, and NIST CSF, specifically within cloud-native environments.
• Technical proficiency in Python (or similar scripting languages) and experience building integrations using APIs to connect security tools with GRC systems. You can read code, design integrations, and understand technical implementations.
• Builder mindset with the ability to design and implement automated control testing, continuous monitoring, and data-driven security metrics. You see manual processes and immediately think about how to automate them.
• Exceptional cross-functional collaboration and communication skills. You can translate complex compliance requirements into technical specifications that engineering teams can actually implement and influence stakeholders across technical and non-technical domains.
• Strong systems thinking. You have the ability to design scalable GRC architectures that grow with the company, rather than just solving for the immediate audit.
• Bias for action. You’re a self-starter who ships solutions quickly and iterates based on feedback. 

Bonus points

• Previous experience in Fintech or banking environments navigating complex regulatory landscapes.
• Hands-on experience with Tines or other SOAR platforms to automate security operations.
• Familiarity with AI/ML governance frameworks (NIST AI RMF, ISO 42001) or securing agentic systems.
• Deep knowledge of Cloud Security (AWS/GCP), infrastructure-as-code (Terraform), or DevSecOps practices.
• Relevant industry certifications such as CISSP, CISA, or CCSP.
• Experience building metrics dashboards for security visualization and reporting.
• Active contributions to the GRC or Security community through open-source projects or public research.

Compensation

The expected salary range for this role is $153,600 - $192,000 CAD. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

About Inspiren

Inspiren offers the most complete and connected ecosystem in senior living. Founded by Michael Wang, a former Green Beret turned cardiothoracic nurse, Inspiren proves that compassionate care and technology can coexist - bringing peace of mind to residents, families, and staff.

Our integrated solutions seamlessly fit into existing workflows, capturing everything happening within a community. Backed by nurse specialists and powerful analytics, we provide the data operators need to make informed clinical and operational decisions - driving efficiency, profitability, and better care outcomes.

About the Role

We are hiring a Principal Engineer, Systems & Strategic Expansion to be the most senior IC in the engineering organization and the CTO's right hand on technology. This is a building role. At Inspiren, architecture happens by shipping systems, coaching others to make proactive technology investments, and building the tooling that makes good patterns the default. A defining responsibility of this role is making every engineer in the org faster while simultaneously raising the bar on architecture, quality, resilience, and security. We believe agentic development is how you achieve both at once. Your job is to make agentic workflows the fastest, easiest, most correct way to build — so that engineers choose them not because they are told to, but because they are better. You will build the AI platform, agents, skills, templates, and paved roads that make coding agents architecturally literate by default, and you will continuously push that frontier forward. The fast path and the correct path should be the same path, and you are the person who builds that path.

Why This Role

• You will build across the full stack in a single company: IoT device ecosystems and embedded systems at the edge, backend services and cloud infrastructure in the middle, computer vision, ML, and radar powering the intelligence, and a Databricks data platform underneath it all. 
• Every engineer at Inspiren works with AI coding agents daily. The question of how architecture, quality, and velocity work together in that world is wide open. You will answer it by building.
• Communities using Inspiren have cut fall injuries by 86%, reduced emergency response times to 90 seconds, and replaced around-the-clock one-on-one monitoring with ambient intelligence. Your work prevents injuries, makes caregivers' jobs simpler and more humane, and gives families real confidence. The impact is visible in real facilities, with real people, within hours of launch.

What You Will Do

• Lead the product expansion into new markets: new hardware-enabled use cases, new ML-powered detections, new product experiences. Determine what generalizes and what needs to be built new by actually building both.
• Build production systems across the full stack: embedded/IoT, backend (TypeScript/Node.js), AWS cloud infrastructure, Kafka, mobile, and data platform (Databricks/Unity Catalog). 
• Make every engineer faster and better by building the agentic development infrastructure that makes the right way the fast way. AI skills that guide coding agents toward correct patterns. Validation pipelines that catch problems before they merge. Your goal: agentic development is the fastest path to production, and it produces architecturally correct, secure, resilient output by default.
• Proactively drive where the platform needs to go before it becomes a bottleneck. See around corners, create urgency, and build the path. Coach engineers through hard architectural decisions by pairing on designs, giving substantive code review, and helping teams build the judgment to make great decisions — with and without AI agents.
• Drive product urgency. You care deeply about shipping things that reach real users in real care environments. When something needs to ship, you create momentum. When something is being over-engineered, you redirect toward outcomes.
• Lead the product expansion into new markets, partnering with Product on which bets to pursue: new hardware-enabled use cases, new ML-powered detections, new product experiences. Determine what generalizes and what needs to be built new by actually building both.

What You Bring

• 12+ years of engineering experience, with recent years spent building. You have hands-on depth across at least three of: embedded/IoT, backend services, cloud infrastructure (AWS), event-driven architectures, mobile, and data platforms. You are still writing code and shipping systems.
• Architectural impact earned through building. You have shaped technical direction at the org level by shipping systems that established the right patterns, coaching others to extend them, and building the tooling that made those patterns the default. Not through mandates or review gates.
• A point of view on how agentic development changes the way engineering orgs build. You use AI coding tools daily and have gone beyond personal productivity to think about how you make an entire team faster while raising the quality bar. You have built or have strong ideas about building the scaffolding, skills, and infrastructure that make AI agents produce correct output by default.
• Product-engineering instincts and a bias toward shipping. You have launched products or major features with ownership over user outcomes. You know when to simplify, cut scope, or redirect to get something meaningful into production.
• The ability to influence experienced engineers without positional authority, through what you build, the clarity of your reasoning, and the momentum you create.

Bonus

• Experience in healthcare, IoT, or regulated environments (HIPAA, PHI, safety-critical systems).
• Background in computer vision, ML pipelines, radar, or real-time inference systems.
• Experience building products that span hardware, firmware, connectivity, and cloud software.
• Experience with Databricks or similar data platform infrastructure.
• Experience building developer tooling, platform scaffolding, or internal developer experience infrastructure.

Details

• The annual salary for this role is $260,000-$300,000 + equity + benefits (including medical, dental, and vision) 
• Flexible PTO
• Location: Remote, US or Canada - NYC preferred

About GlossGenius

GlossGenius is building an ecosystem enabling entrepreneurs to succeed.  We empower small business owners to focus on being creators, not admins, by offering a range of business management tools including booking and scheduling, marketing, analytics, payment processing and much more. 

Over 100,000 small business owners have chosen to rely on GlossGenius every day to run their entire set of business operations. Joining its powerful, intuitive platform with its vibrant, distinguished brand, GlossGenius is the ideal combination of a fintech, SMB software, and consumer company all in one.

About the Role

As we continue to scale, we’re strengthening our Data Engineering team. The primary focus of this role is to reimagine the data infrastructure to support our AI platform. This transformation will be critical to the success of our future products, and vital in delivering value to our 100,000+ business owners

You must be commutable to our NYC or SF headquarters. We default to being in-office 3-4 days per week with required attendance on Tuesdays and Thursdays.

What You’ll Do:

As an Software Engineer, Data Platform, you'll be both a hands-on technical expert and a strategic leader. You'll drive the design of core data models and pipelines in our Snowflake and Clickhouse lakehouse, setting the standards for quality, reliability, and scalability across the platform.

You'll own end-to-end solutions—from architecture and implementation to operations and optimization—while helping guide the long-term direction of GlossGenius' data ecosystem. You'll collaborate across teams to turn complex business problems into robust data solutions, mentor engineers to help them grow and deliver at a higher level, and help the team evolve toward a fully governed lakehouse with fine-grained access controls and consistent lineage.

• Design and implement core data models and pipelines that power analytics, ML, and product experiences
• Implement modern data lake orchestration patterns, including medallion architectures
• Architect and evolve a scalable, cost-efficient, and reliable lakehouse foundation using Snowflake, Clickhouse, and orchestration tools
• Define best practices and technical standards that improve data quality, governance, and performance across teams
• Mentor engineers and foster a culture of ownership, operational excellence, and continuous learning
• Shape the long-term technical vision and roadmap for GlossGenius' data platform

What We’re Looking For

• 5+ years of experience in data engineering, with a strong background in data architecture, data modeling, and distributed data systems
• Deep expertise in modern lakehouse technologies such as Snowflake and Clickhouse
• Experience implementing modern data orchestration patterns for big data use-cases, including batch and streaming workloads
• Advanced proficiency in SQL and Python or Scala, including performance optimization and large-scale ETL design
• Familiarity with AI/ML workflows and the data infrastructure that supports them, you understand what it takes to move data from raw ingestion to model-ready, and ideally have experience building pipelines that feed or serve ML models in production
• Demonstrated ability to lead technical initiatives, set standards, and influence decisions across teams
• Comfort owning systems end-to-end, including monitoring, reliability, and cost management
• Excellent communication skills with the ability to translate technical trade-offs to both engineers and non-technical stakeholders

The Auth0 Team

We never compromise on identity. You should never compromise yours either. We want you to bring your whole self to Auth0. If you're passionate, practice radical transparency to build trust and respect, and thrive when you're collaborating, experimenting and learning – this may be your ideal work environment. We are looking for team members that want to help us build upon what we have accomplished so far and make it better every day. N+1 > N.

Here at Auth0 we’re focused on securing the world’s identities so innovators can innovate. We’re currently hiring a Senior Software Engineer for the Identity Security Insights team. The Insights team is responsible for modernizing the way Auth0 empowers our customers to seamlessly access and understand their Auth0 data and level up how they monitor and address security concerns.

What you will do:

• Help design secure, performant, cross-platform browser-based features.
• Collaborate inside your team to solve technical and non-technical challenges.
• Work closely with Product and Design to determine and optimize user experience.
• Build new and maintain existing features by contributing across the full technical stack.
• Debug and resolve production issues and implement fixes for them.
• Be a part of the team's on-call rotations.
• Evaluate new technologies and techniques to improve overall practices.

You are a good fit for this role if you:

• Have a passion for learning.
• Like owning, designing, and driving projects end to end.
• Enjoy greenfield development and iterating on existing features.
• Are comfortable writing and operating full-stack applications.
• Are familiar with Node.js and RESTful APIs.
• Have a good understanding of JavaScript and TypeScript.
• Have the ability to contribute in a team environment.
• Work well with technical and non-technical people to deliver high-value results.
• Have excellent communication and collaboration skills.
• Enjoy being part of a highly collaborative, remote-friendly environment.
• Have at least 5 years of software development experience.
• Familiarity with AI agent frameworks, orchestration tools, or the Model Context Protocol (MCP).

It is helpful, but not required, if you:

• Have experience working in distributed teams and work environments.
• Have experience working with React and Styled Components.
• Have experience working with data driven applications.
• Exposure to agentic application patterns: tool use, multi-step workflows, agent-to-agent communication.

#LI-HYBRID

#LI-SH1
P-1093.1_3427006

We are looking for a Senior Quantum Field Engineer. As a Senior Quantum Field Engineer, you’ll be part of a team whose mission is to lead IonQ on its journey to build the world’s best quantum solutions and solve the world’s most complex problems.  Field Engineering sits at the intersection of customers, markets, products and product teams, algorithms, applications, innovation and strategy - this is the team where ideas become applied and have impact.

Join a nimble team of scientists, engineers, salespeople, marketers, business developers, and product managers to drive an entirely new quantum computing business. We’re seeking versatile engineers and architects skilled in technical sales, technical demos and customer interactions who feel energized to deliver IonQ’s quantum computing products and quantum applications. 

Responsibilities:

• Inspire prospective clients by explaining IonQ’s strategy, portfolio and answering technical questions about quantum portfolio (compute, network, security, sensing and space) and quantum applications.
• Lead and shepherd client discussions, inspiring them to see how quantum applications can be implemented in their business domain.
• This includes working through business needs and mapping Quantum Algorithms (financial services, bioscience, chemistry and materials, optimization, generative AI, and other domains) into application code and executing Proof-of-Concepts together with the IonQ Application team.
• Share insights from clients with the IonQ Product Management and Engineering teams such that client feedback is incorporated into our products.
• Navigate competitive objection handling
• Translate business needs expressed by our clients into technical work projects in collaboration with other team members.
• Create assets to explain features of our quantum applications and other IonQ quantum products.
• Move dialogs from initial ideation to focused exploration domain through to proof-of-concept and ultimately into production workflows.
• Lead client discovery sessions for business oriented use cases that uncover potential overlap with development of useful quantum algorithms together with the IonQ Application team
• Partner with marketing, developer relations and business development to grow awareness of IonQ in the world at large.
• Attend industry conferences, as needed, to talk to client and support our booth activities.
• Some travel expected in the US (20%) but opportunities for global travel are available as well for client meeting and IonQ conference activities.
• This is a technical customer-facing role with the appropriate balance of compensation acceleration for success and a base salary to ensure that credibility and technical correctness always comes first.

You’d be a good fit with:

• 5 years of experience in technical customer-facing roles or equivalent capacity.  The ability to communicate (at the various context-appropriate levels of depth) and persuade clearly, have strong EQ, and other customer facings skills are critical.
• Bachelor’s degree or above in Computer Science, Machine Learning, Data Science, or other STEM field, such as Chemistry, Physics or Engineering
• Motivated learner with a strong interest in quantum computing.

You’d be a great fit with: 

• Masters or PhD in a STEM field, perhaps adjacent to quantum computing.
• Time on the customer side in various verticals included leadership roles - this provides customer empathy
• Hands-on experience with Qiskit, Cirq or other quantum computing SDK.
• Proficient in Python and Jupyter Notebooks.
• Expert architecture skills across various technologies (“full stack skills”)
• Experience leading technical events.

Location: This position can work onsite or hybrid from our office in Toronto or remote in Canada
Travel: 20% travel domestically and globally
Job ID: 1310

We’re looking for a Senior Quantum Applications Scientist - Life Sciences who will be part of a cross-functional team at IonQ whose mission is to deliver the world’s best quantum solutions in life sciences on the world’s best quantum computers to solve the world’s most complex and impactful problems. This role is open as part of IonQ’s Quantum Applications team based in either Gothenburg, Sweden or Toronto, Canada. You will work closely with partners within the life sciences innovation ecosystem and beyond to create new hybrid quantum applications with significant commercial impact.

Responsibilities: 

• Develop impactful hybrid quantum applications, algorithms and solutions in the life sciences domain that promise commercial advantages in practice and at scale.
• Collaborate with quantum compiler, cloud and hardware engineering teams to develop highly optimized hybrid workflows for trapped-ion quantum computers.
• Contribute knowledge of classical and quantum domain-specific algorithms and tools to evaluate and communicate pros and cons, current state-of-the-art, scaling behavior, trade offs, cross-over points, etc.
• Be part of a client-facing team that finds, defines, and solves problems of real-world interest using IonQ trapped-ion quantum computers.
• Build reusable software platforms to grow IonQ’s user base. Integrate first of a kind quantum algorithms into larger end-to-end workflows.

You’d be a good fit with: 

• Doctorate degree in the life sciences domain, or equivalent work experience.
• Hands-on expertise with using and developing computational and ML/AI tools in bioinformatics, molecular biology, development of advanced therapeutics, including a track record of peer-reviewed manuscripts and contributions to code bases.
• Demonstrated experience developing, applying, validating quantum computing algorithms and solutions in the life sciences domain, including prototyping solutions using Python and quantum SDKs like Qiskit, PennyLane, Cirq.
• Desire to work closely with customers including aligning with time zones and work schedules. Potential for international travel and/or onsite co-location.

You’d be a great fit with:

• Expertise in key mathematical techniques used in quantum computing - linear algebra, matrix decompositions, probability theory, symmetry, computational complexity.
• Success working directly with clients to define and deliver solutions; excellent collaboration and communication skills.

Location: Onsite and/or hybrid from our office in Gothenburg, Sweden or Toronto, Canada
Travel: 10% domestic and international, with a focus on visiting customers and clients
Job ID: 1360

We are looking for a Senior Quantum Field Engineer. As a Senior Quantum Field Engineer, you’ll be part of a team whose mission is to lead IonQ on its journey to build the world’s best quantum solutions for the Bioscience vertical and solve the world’s most complex problems.  Field Engineering sits at the intersection of customers, markets, products and product teams, algorithms, applications, innovation and strategy - this is the team where ideas become applied and have impact.

Join a nimble team of scientists, engineers, salespeople, marketers, business developers, and product managers to drive an entirely new quantum computing business. We’re seeking versatile engineers and architects skilled in technical sales, technical demos and customer interactions who feel energized to deliver IonQ’s quantum computing products and quantum applications. 

Responsibilities:

• Inspire prospective clients by explaining IonQ’s strategy, portfolio and answering technical questions about quantum portfolio (compute, network, security, sensing and space) and quantum applications.
• Lead and shepherd client discussions, inspiring them to see how quantum applications can be implemented in their business domain.
• This includes working through business needs and mapping Quantum Algorithms (strong focus on biosciences, but also chemistry and materials, optimization, generative AI, and other domains) into application code and executing Proof-of-Concepts together with the IonQ Application team.
• Share insights from clients with the IonQ Product Management and Engineering teams such that client feedback is incorporated into our products.
• Navigate competitive objection handling
• Translate business needs expressed by our clients into technical work projects in collaboration with other team members.
• Create assets to explain features of our quantum applications and other IonQ quantum products.
• Move dialogs from initial ideation to focused exploration domain through to proof-of-concept and ultimately into production workflows.
• Lead client discovery sessions for business-oriented use cases that uncover potential overlap with the development of useful quantum algorithms, together with the IonQ Application team.
• Partner with marketing, developer relations and business development to grow awareness of IonQ in the world at large.
• Attend industry conferences, as needed, to talk to clients and support our booth activities.
• Some travel is expected in the US (20%) but opportunities for global travel are available as well for client meetings and IonQ conference activities.
• This is a technical customer-facing role with the appropriate balance of compensation acceleration for success and a base salary to ensure that credibility and technical correctness always comes first.

You’d be a good fit with:

• 5+ years of experience in the Biosciences industry, leading technology initiatives and innovation (or equivalent capacity).  The ability to communicate (at the various context-appropriate levels of depth) and persuade clearly, have strong EQ, and other customer-facing skills are critical.
• Bachelor’s degree or above in Biology, Chemistry, Computer Science, Machine Learning, Data Science, or other STEM field, such as Physics or Engineering
• Motivated learner with a strong passion for applied Quantum Mechanics (computing, network, security, sensing and other domains).

You’d be a great fit with: 

• Master's or PhD in a STEM field, perhaps adjacent to quantum computing.   This can enable quicker client trust and confidence.
• 5+ years of experience in a technical customer-facing role or equivalent capacity.  This isn’t a pre-requisite, but helps in transitioning to customer-facing roles.
• Hands-on experience with Qiskit, Cirq or other quantum computing SDK.
• Proficient in Python and Jupyter Notebooks.
• Expert architecture skills across various technologies (“full stack skills”)
• Experience leading technical events.

Location: This position can work onsite or hybrid from one of our offices or fully remote in the US or Canada
Travel: Up to 20% travel domestically and globally
Job ID:  1308

The approximate base salary range for this position is $192,979 - $252,659 USD. The total compensation package includes base, bonus, and equity.

We’re looking for a Staff Quantum Applications Scientist - Life Sciences who will be part of a cross-functional team at IonQ whose mission is to deliver the world’s best quantum solutions in life sciences on the world’s best quantum computers to solve the world’s most complex and impactful problems. This role is open as part of IonQ’s Quantum Applications team based in either Gothenburg, Sweden or Toronto, Canada. You will work closely with partners within the life sciences innovation ecosystem and beyond to create new hybrid quantum applications with significant commercial impact.

Responsibilities: 

• Originate and lead development of impactful hybrid quantum applications, algorithms and solutions in the life sciences domain that promise commercial advantages in practice and at scale.
• Collaborate with quantum compiler, cloud and hardware engineering teams to develop highly optimized hybrid workflows for trapped-ion quantum computers.
• Contribute knowledge of classical and quantum domain-specific algorithms and tools to evaluate and communicate pros and cons, current state-of-the-art, scaling behavior, trade offs, cross-over points, etc.
• Lead constructive technical interactions with client teams to find, define, and solve problems of real-world interest using IonQ trapped-ion quantum computers.
• Represent the team in client and stakeholder presentations, develop presentation content and appropriately adapt it to the audience.
• Build reusable software platforms to grow IonQ’s user base. Integrate first of a kind quantum algorithms into larger end-to-end workflows.

You’d be a good fit with: 

• Doctorate degree in the life sciences domain, or equivalent work experience.
• At least 3 years of professional experience using and developing computational and ML/AI tools in bioinformatics, molecular biology, development of advanced therapeutics, including a track record of peer-reviewed manuscripts and contributions to code bases.
• At least 3 years of professional experience developing, applying, validating quantum computing algorithms and solutions in the life sciences domain, including prototyping solutions using Python and quantum SDKs like Qiskit, PennyLane, Cirq.
• Desire to work closely with customers including aligning with time zones and work schedules. Potential for international travel and/or onsite co-location.

You’d be a great fit with:

• Expertise in key mathematical techniques used in quantum computing - linear algebra, matrix decompositions, probability theory, symmetry, computational complexity.
• Success working directly with clients to define and deliver solutions; excellent collaboration and communication skills.

Location: Onsite and/or hybrid from our office in Gothenburg, Sweden or Toronto, Canada
Travel: 10% domestic and international, with a focus on visiting customers and clients
Job ID: 1361

Staff Security Infrastructure Engineer, Red Team

Within the Product Security team, our Red Team delivers robust security assurance for Okta's products, services, and infrastructure.  You will be the team's dedicated infrastructure and tooling engineer, the first person in this role for a small team of operators. You will work alongside operators but not report through an operator chain; you'll collaborate as a peer focused on a different discipline.

We seek a Staff Security Infrastructure Engineer to own the engineering backbone that enables our operations. This is not a traditional operator role but a dedicated infrastructure, tooling, and automation engineering position embedded within the Red Team.  You will design, build, maintain, and continuously improve the platforms, infrastructure, and custom tooling that our operators depend on to execute engagements.

Your work directly enables the team to operate at a higher maturity level: faster infrastructure deployment, more resilient and OPSEC-aware architecture, automated workflows, and reliable custom tooling, freeing operators to focus on the mission.  Your role will also extend to cultivating stakeholder collaboration and elevating our company’s security posture through strategic engagement and proactive measures.  As the team matures, this role can evolve toward platform leadership, custom capability development, or a hybrid operator/engineer path.

What You Will Do

• Infrastructure Engineering & Automation:
• Own the full lifecycle of red team infrastructure: design, provisioning, configuration, maintenance, and teardown
• Build and maintain Infrastructure-as-Code (IaC) using Terraform (or equivalent) to automate deployment of C2 servers, redirectors, phishing infrastructure, payload-delivery systems, and supporting services.
• Resource and asset lifecycle management through tracking domains, certificates, cloud accounts, recurring expenses, and infrastructure resources; managing acquisition, rotation, and retirement.
• Tooling Development & Maintenance:
• Develop, maintain, and improve custom tools, scripts, and automation to support red team operations (e.g., payload generation pipelines, log aggregation, C2 profile management, infrastructure health checks), providing on-demand infrastructure/tooling support when issues or gaps arise.
• Collaborate closely with operators during engagement planning to understand infrastructure requirements, OPSEC constraints, and operational timelines.
• Building and maintaining a representative test environment for pre-operation validation of tools and tradecraft against a security stack similar to the target.
• Maintaining the team's source code repository with merge/pull request processes, documentation, and code quality standards.
• Ensuring engagement evidence, infrastructure logs, and operational data are centrally collected and accessible for reporting and after-action reviews.
• Contribute to and maintain metrics that demonstrate infrastructure maturity, operational efficiency, and readiness (e.g., deployment time, rebuild time, infrastructure availability during engagements).
• Security & OPSEC:
• Design infrastructure with OPSEC as a first-class requirement: network segmentation, traffic separation between operations, credential management, and access controls 
• Implement and manage secure access to red team infrastructure
• Create and update operational runbooks, infrastructure documentation, and SOPs for the team.
• Maintain clear records of infrastructure ownership and attribution to support deconfliction processes.

What You Bring

Required

• 8+ years of professional experience in infrastructure engineering, DevOps, platform engineering, or a similar role with significant automation responsibilities
• Strong familiarity with Terraform (or equivalent IaC tooling) for multi-cloud infrastructure provisioning and management
• Experience operating in cloud-native, SaaS, or identity-focused environments
• Strong proficiency with configuration management tools (Ansible, or equivalent)
• Proficiency in at least one systems programming or scripting language (Python, Go, Bash) with disciplined development practices (version control, code review, testing, documentation)
• Solid understanding of Linux systems administration, networking fundamentals (DNS, HTTP/S, TCP/IP, proxying, TLS), and cloud platforms (AWS, GCP, or Azure)
• Understanding of OPSEC principles as they apply to offensive infrastructure — you know why redirector chains, domain categorization, traffic separation, and certificate management matter.

Strongly Preferred

• Experience building and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, or similar)
• Familiarity with containerization and orchestration (Docker, Kubernetes) as applicable to tooling and lab environments
• Familiarity with C2 frameworks (Cobalt Strike, Mythic, Sliver, or similar) from an infrastructure and deployment perspective — you don't need to operate them, but you need to understand what operators need from the infrastructure
• Familiarity with detection evasion concepts as they relate to infrastructure (e.g., traffic shaping, hosting provider reputation, certificate transparency)

Nice to Have

• Working knowledge of Blue Team operations and related technologies
• Experience with security tool development (implant development, payload engineering, evasion tooling) — this role can grow in that direction
• Familiarity with Red Team maturity models and how infrastructure/tooling capabilities map to organizational maturity 

Note: This is not an operator role. You will not be the person running hands-on-keyboard engagements as your primary function. While you may participate in operations to understand requirements or provide support, your core mission is ensuring the team's infrastructure, workflows, tooling, and automation are reliable, repeatable, and mature. You are the engineering foundation the operators build on.

#LI-TM

#LI-Hybrid

(P22302_3403905)

Role Overview 

We are seeking an accomplished Principal Engineer to lead the technical architecture and evolution of our hybrid digital ecosystem. In this pivotal role, you will drive the strategic integration of multi-modal AI into our core infrastructure while architecting an omnichannel platform capable of supporting complex customer journeys. You will balance the adoption of proven third-party AI solutions (OpenAI, Anthropic) with the development of proprietary optimizations where they deliver a competitive advantage. As a technical leader, you will champion a vendor-agnostic, ethically grounded, and Privacy by Design approach to AI implementation.

Key Responsibilities

• Infrastructure Modernization: Lead the roadmap for migrating legacy data pipelines to AI-native architectures. You will design modern data orchestration solutions utilizing Apache Airflow, dbt, and Kafka to replace outdated batch processing with real-time, event-driven flows.
• AI-Native Web Transformation: Define the web infrastructure required for a high-agility ecosystem. Architect the evolution of our Headless CMS environments (AEM, Contentful) and modern frontend frameworks to enable automated page assembly and AI-driven UI components.
• Agentic Pipeline Development: Design and build autonomous pipelines that bridge the gap between design systems, automated component development, and publishing workflows.
• ML & Data Engineering Leadership: Establish standards for RAG, vector databases, and LLM orchestration. Provide architectural guidance for the seamless integration of AI capabilities across headless and omnichannel systems while ensuring consistency, performance, and security.
• Engineering Productivity: Champion the use of AI-assisted coding and engineering productivity tools such as Claude Code and Cursor to accelerate development cycles and optimize architectural decision-making.

Required Qualifications

• Experience: 8–10 years in software engineering, specializing in SaaS platform architecture and distributed systems design.
• Leadership & Advocacy: Excellence in technical diplomacy and stakeholder influence. Proven ability to translate complex AI/Data roadmaps into business value while mentoring senior teams and advocating for architectural best practices.
• Data Orchestration: Strong hands-on experience with Apache Airflow (or similar), Kafka, and dbt to support real-time AI applications.
• AI & Web Convergence: Proven expertise integrating LLMs into production web environments with a focus on agentic workflows and autonomous UI generation.
• Architectural Vision: Deep understanding of headless CMS, composable, and event-driven patterns that allow for programmatic content and UI generation.
• Modern Delivery: Experience with cloud-native technologies (AWS/GCP, Docker, Kubernetes) and a deep expertise in data privacy frameworks and AI ethics.

#LI-Hybrid

#P24079_3413893

Narvar is Growing! We’re building Navi — Narvar’s agentic AI that automates post-purchase resolution for the world’s leading retailers. Hundreds of millions of consumers interact with Narvar every year. Navi is our agentic AI that resolves delivery issues, returns, and refunds through natural conversation — powered by IRIS and 74 billion consumer touchpoints. 

We're looking for senior AI engineers to own this system end-to-end: architecture, model selection, production operations. You'll help decide what gets built and how.

Day-to-day

• Design and build conversational AI agents for returns, claims, and customer service experiences
• Own agent systems from architecture → implementation → evaluation → production operations
• Build RAG / context graph retrieval pipelines that ground agent responses in real company and customer data
• Design agent orchestration for multi-step workflows that interact with identity, risk, order, and loyalty systems
• Create evaluation frameworks to measure task completion, accuracy, safety, and user satisfaction
• Implement guardrails and safety mechanisms — content moderation, hallucination detection, graceful fallbacks
• Integrate conversational experiences across web, mobile, SMS, and email channels
• Make real decisions around prompt design, model selection, latency/cost/quality tradeoffs, and failure modes
• Collaborate with product, design, and ML teams to build systems that are technically sound and product-aware

What We’re Looking For

We care more about judgment and ownership than credentials.

You’re likely a strong fit if you:

• Have shipped conversational AI or agent-based systems used by real users in production
• Have built production systems on top of LLM APIs and agent frameworks — not just prompt playgrounds, but real integrations involving tool orchestration, context management, and reliability at scale
• Have a point of view on model selection tradeoffs — when to use frontier APIs vs. open-weight models (Qwen, Llama, Mistral), and understand the cost, latency, privacy, and capability tradeoffs of each
• Understand prompt engineering beyond basics: structured outputs, few-shot learning, chain-of-thought, tool calling
• Have built context graph pipelines that go beyond naive retrieval — entity resolution, relationship modeling, and dynamic context assembly from structured and unstructured data
• Have designed agent architectures that use function calling, tool execution, or multi-step reasoning
• Have strong programming skills in Python or TypeScript
• Have experience building and integrating APIs and backend services
• Are comfortable reasoning about evaluation, safety, and reliability in non-deterministic systems
• Take initiative naturally and are comfortable operating with ambiguity

Bonus points

These aren’t hard requirements, but strong indicators:

• You’ve worked in startup or high-ownership environments
• You’ve built and operated AI systems in production, including monitoring and incident response
• You’ve evaluated and iterated on LLM systems for accuracy, hallucination, latency, and cost
• You’ve built or integrated MCP servers or similar tool-use infrastructure
• You’ve influenced technical direction by earning trust, not by mandate
• You use modern tooling (including AI-assisted development workflows) to increase leverage, not outsource thinking

(Note: we care about outcome and judgment, not how flashy your tools are.)

Why AI at Narvar?

Because post-purchase is one of the highest-leverage applications of conversational AI.

We’re building AI agents where:

• The problem space is well-defined but complex — returns, claims, and support have clear business logic but messy real-world edge cases
• Scale is real — hundreds of millions of consumer interactions per year across major global retailers
• Impact is measurable — resolution rates, customer satisfaction, cost savings, not vanity metrics
• The work is greenfield — you’re not maintaining a legacy chatbot, you’re building the next generation

You’ll help define where and how AI agents should operate, not just implement someone else’s spec.

Why Narvar ( from an Engineer's perspective?)

• Real scale, real customers, real consequences
• Startup-level ownership with platform-level impact
• Teams that value thinking, judgment, and responsibility
• Low ego, high trust, and room to do your best work

Why Narvar?

We're on a mission to simplify the everyday lives of consumers. Post-purchase is a critical phase of the customer journey. That's why we created Narvar - a platform focused on driving customer loyalty through seamless post-purchase experiences that allow retailers to retain, engage, and delight customers. If you've ever bought something online, there's a good chance you've used our platform!

From the hottest new direct-to-consumer companies to retail’s most renowned brands, Narvar works with GameStop, Neiman Marcus, Sonos, Nike, and 1300+ other brands. With hubs in San Francisco, Atlanta, London, and Bangalore, we've served over 125 million consumers worldwide across 10+ billion interactions, 38 countries, and 55 languages.

Pioneering the post-purchase movement means navigating into the unknown. Our team thrives on this sense of adventure while nurturing a mindset of innovation. We're a home for big hearts and we leave our egos at the door. We work hard but we always make time to celebrate professional wins, baby showers, birthday parties, and everything in between.

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

#LI-BB1

#LI-Remote

PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in Canada.

About the Program

The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers.

What You'll Do

• ML Projects: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Help models understand real-world deep learning workflows by designing, reviewing, and optimizing PyTorch models, evaluating complex ML code and AI-generated implementations for efficiency and correctness, and advising on GPU optimization, scaling, and trade-offs.
• HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.
• Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition (e.g., SciPredict, PropensityBench, Professional Reasoning Benchmark).

Who Should Apply

• Education: PhD or postdoctoral degree in Computer Science, Computer Engineering, or a related field.
• Professional Background: 1-3+ years of experience as a Machine Learning Engineer or Data Scientist.
• Skills: Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow). Experience with cloud infrastructure (AWS) and MLOps tools (Docker, Langchain) is a plus.
• Professional Mindset: Detail-oriented, innovative thinker with a passion in applied AI research and a commitment to collaboration.

Why Join the HFC?

• Professional Development: High-impact experts expand their influence through review projects, advisory roles, and research, while deepening their AI expertise, strengthening analytical and problem-solving skills, and engaging with pioneering AI applications in science and technology.
• Join a Top-Tier Network: Collaborate with a global network of engineers and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions.
• Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments.
• Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location. 

Application Process

1. Apply: We review applications on a rolling basis.
2. Interview: Candidates will get to discuss their research experience, professional background, and alignment with our mission to advance human-centered AI.
3. Join the Collective: Successful candidates will receive an invitation to join the Human Frontier Collective Fellowship.

The Product

Okta’s Auth0 is an easy-to-implement authentication and authorization platform designed by developers for developers.  We make access to applications safe, secure, and seamless for the more than 100 million daily logins around the world. Our modern approach to identity enables this Tier-Ø global service to deliver convenience, privacy, and security so customers can focus on innovation.

The Team

The Delegated Administration team is expanding Auth0 to help B2B SaaS applications easily manage access for their own customers and partners, at scale. We make it possible for enterprise SaaS users to log in with the right set of permissions within the right context, and for our B2B customers to onboard access for their customers easily. Our work is cross-cutting and always heavily customer driven.

We work in NodeJS (JavaScript and TypeScript) and use PostgreSQL for our data needs. Our services run on AWS and Azure and we lean heavily on containers for both our development and production needs.

If you have a keen eye for good user experiences and enjoy solving hard problems at scale we can’t wait to talk to you.

What you’ll be doing 

• Help drive architectural vision and strategy on the team to design and deliver powerful new enterprise functionality for our SaaS customers - both for the login flow itself and for Auth0’s direct and self-service management capabilities
• Identify and implement strategic technical improvements to our codebase and architecture. Orchestrate and lead major technical projects, across teams as necessary.
• Mentor and coach less experienced engineers on sound engineering practices and technical leadership. Serve as a subject matter expert on all building scalable, reliable and maintainable distributed systems.
• Work with your team, the Product Manager and Product Designer to define the look, feel and functionality of new features and review customer feedback

What you’ll bring to the role

• You bring solid architectural and security knowledge, backed by experience in designing, implementing and evolving complex distributed systems.
• You have worked on projects that required close collaboration with external teams, and have experience making those a success.
• You are a good mentor and communicator, and bring the rest of your team along for the journey. You can explain complex concepts simply in person or in a document. You know that while an engineer can write code, teams collaborate to ship successful products.
• You have solid previous experience with Node.js (JavaScript or Typescript) to build scalable backend services and creating and maintaining public and internal APIs.
• You have built frontend and full-stack apps and know what approach to use when. You know how to build SPAs, have a good understanding of React and know your way around CSS.
• You have a good understanding of SQL databases and know how to debug and optimize table and query structure for performance under load.
• You have experience with Docker and cloud environments (AWS and Azure preferred).
• You have proven experience operating services at scale with appropriate observability tools and mechanisms.

And extra credit if you have experience in any of the following! 

• Knowledge of authentication protocols such as OAuth2, OIDC, SAML.
• Understanding and experience of DevOps culture. We have infrastructure teams that build interfaces for product teams but we love working with engineers who can reason about the workings under the covers - and roll their sleeves up to write some Terraform, if need be.
• Knowledge of security engineering and application security.

#LI-Hybrid

P24570

Marqeta is looking for a talented Senior Software Engineer to independently identify and deliver software solutions on our Data Infrastructure team through a set of milestones spanning a specific platform focus or a multi-component system. You will own and deliver projects in service of quarterly goals on the team and independently identify solutions to solve ambiguous, open-ended problems. You will work in collaboration with your team and cross-functional partners.

The Data Infrastructure team, within our Data & ML Platforms organization, is responsible for the data lakehouse, streaming, orchestration, and catalog platforms that power analytics and AI across Marqeta. We're a platform engineering team building infrastructure that other engineering teams depend on.

At Marqeta, participation in a rotational on-call pager duty is a required part of the software engineering role. The specifics of the rotation may vary by team, depending on team size and structure, and will be discussed further during the interview process.

We work Flexible First. This role can be performed remotely anywhere within Ontario or British Columbia, Canada. We’d love for you to join us!

Learn more about our Product and Engineering team

The Impact You'll Have

• Define and deliver well-scoped milestones for projects, and may be a technical lead for projects on your team.
• Lead design for small-to-medium components and participate in design for larger components, moving from task-level impact to small-to-medium project-level impact.
• Have significant ownership of a component of the data infrastructure, including its reliability, performance, and developer experience.
• Identify gaps and propose plans towards addressing those gaps.
• Independently write code that is clear, well-tested, and appropriately flexible, reusable, and adaptable to changing requirements.
• Actively level up less-experienced members of your team by helping them with their craft, providing guidance, and setting a good example.
• Participate in on-call coverage.

Who You Are

• 5+ years of experience as a software engineer with a Bachelor's degree; or 3 years of experience with an advanced degree. In lieu of a degree, 8+ years of relevant experience may suffice.
• Strong proficiency in Python in a production context.
• Proficiency with SQL.
• Experience working with distributed systems.
• Production experience with multiple core data technologies, including Apache Kafka, Apache Spark, and Apache Airflow (or close equivalents).
• Production experience with modern table formats (Parquet, Hudi, Iceberg, or Delta Lake).
• Production experience with AWS or another major cloud.
• Experience with infrastructure-as-code (Terraform, CloudFormation, CDK, or equivalent).
• Experience monitoring and alerting on production systems.
• Ability to decompose business problems into solutions that may require designs with multiple interacting components.
• Ability to build correct, maintainable software components.
• Ability to work with cross-functional stakeholders to identify technical blindspots and clarify ambiguity.
• Ability to present clear and concise messages tailored to various audiences; able to communicate clearly and respectfully both verbally and in writing.
• A focus on quality and meeting deadlines.
• Ability to decompose business problems into solutions that may require designs with multiple interacting components.
• Ability to build correct, maintainable software components.
• Ability to work with cross-functional stakeholders to identify technical blindspots and clarify ambiguity.
• Ability to present clear and concise messages tailored to various audiences; able to communicate clearly and respectfully both verbally and in writing.
• A focus on quality and meeting deadlines.

Nice-To-Haves

• Experience with payments or the FinTech space.
• Experience with Apache Iceberg specifically.
• Experience with CDC tooling, particularly Debezium or Kafka Connect.
• Experience with data catalog tooling (DataHub or equivalent).
• Experience with Java in addition to Python.
• Exposure to Kubernetes and container-based workloads.
• Experience building scalable software platforms.

Our (typical) process:

1. Application Submission
2. Recruiter Video Call
3. Coding Interview & Hiring Manager Interview
4. Virtual “Onsite” consisting of three 60 minute rounds
5. Offer!

Compensation and Benefits

Marqeta is a Flex First company which allows you to choose your best working environment, whether that be from home or at a company office. To support Flex First, we calibrate pay to a competitive value according to working location. 

When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this position, reflected in CAD, is: 116,000 - 145,000

We also believe in recognizing the contributions of our people. That's why we award annual bonuses to eligible employees, rewarding both individual performance and the success of the entire company.

Along with monetary compensation, Marqeta offers

• Multiple health insurance options
• Flexible vacation time
• Retirement savings program with company contribution
• Equity in a publicly-traded company 
• Monthly stipend to support our remote work model
• Annual “development dollars” to support our people growth and development
• Family-forming benefits and up to 20 weeks of Parental Leave

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Global Demo Excellence Lead who will own and operationalize a scalable, global demo ecosystem that enables Sales and Partners to deliver high-impact, consistent, and tailored customer demo experiences across segments, regions, and product lines. The projects will vary in scope, complexity, and affected business area. If you love technology, and are keen to join an industry leader — we would love to hear from you!

What you'll do:

As a Global Demo Excellence Lead, your key area of responsibility will be defining demo strategy, managing demo environments and data, and enabling seller and partner readiness to ensure demo excellence is consistent, scalable, and aligned with go-to-market priorities. You will need to work closely with Geotab's Sales, Product, Product Marketing, Revenue Delivery, and Enablement teams.

To be successful in this role you will be a strategic thinker with an innovation mindset and strong cross-functional influence, possessing the ability to communicate complex concepts clearly to both technical and non-technical audiences. In addition, the successful candidate will have strong technical expertise in building and managing SaaS demo environments, coupled with a deep understanding of value-based selling and data governance. 

How you'll make an impact:

• Demo Ecosystem Strategy & Ownership: Own and define the global demo excellence strategy to support scalable, high-impact customer engagements across Sales and Partner ecosystems.  

• Demo Environment Design, Build & Governance: Design, build, and maintain gold-standard demo environments across key segments and regions, ensuring they are fully configured with relevant features and realistic data.  

• Data Strategy & Scenario Management: Partner with Legal, Product, and Engineering to manage a compliant demo data strategy and develop realistic datasets reflecting customer environments.  

• Demo Content & Modular Asset Development: Develop and maintain a scalable library of demo modules, scripts, narratives, and talk tracks aligned to value-based selling and product messaging.  

• AI-Enabled Demo Capability & Innovation: Structure demo environments to support AI-driven demo assembly and identify opportunities to leverage automation for improved efficiency.  

• Cross-Functional Alignment & Governance: Act as the primary liaison between Sales, Product, Marketing, and Enablement teams to align demo strategy with product roadmaps and go-to-market priorities.

• Sales & Partner Readiness and Adoption: Drive consistent demo execution standards through best practices, structured enablement, and certification programs.  

• Business Impact & Continuous Improvement: Elevate demo quality and consistency to contribute to improved win rates, product adoption, and overall sales effectiveness.

What you'll bring to the role:

Why job seekers choose Geotab:

See yourself at Twilio

Join the team as Twilio’s next Staff Product Manager - Core Commerce Platform

About the job

Twilio is seeking an intensely curious Staff Product Manager to lead the evolution of our Core Commerce Platform into a highly productized, extensible engine that powers Twilio’s global revenue. You won't just be managing a billing system; you will be architecting a standardized platform-as-a-service that enables internal application teams to launch, price, and scale their products with zero friction. This platform is the source of truth for the entire quote-to-cash lifecycle—responsible for high-throughput metering, complex real-time rating, and the generation of clear, accurate invoices that reinforce customer trust.

Responsibilities

In this role, you’ll bring and develop:

• Master Commerce Domains: Leverage deep expertise in catalog management, subscriptions, billing, invoicing, revenue recognition, and tax compliance to build robust, scalable financial systems.

• Define Platform Strategy: Architect the roadmap for a "commerce-as-a-service" model by developing primitives (metering, rating, and entitlement APIs) that enable internal teams to launch products with minimal bespoke engineering.

• Enable Internal Tenants: Treat Twilio’s internal product and operations teams as primary customers by designing the self-service tools, SDKs, and documentation necessary for independent onboarding to the platform.

• Ensure Usage Fidelity: Own the "event-to-invoice" data lifecycle by architecting systems that transform high-volume usage data into transparent invoices, ensuring rating logic is perfectly mirrored in customer dashboards.

• Productize Compliance: Partner with Finance, Compliance, and Accounting to build automated revenue recognition and geography-aware tax hooks into the platform core to ensure every transaction is audit-ready by default.

• Champion Accuracy & Trust: Drive platform initiatives that provide customers with granular visibility into their usage, reducing billing inquiries and fostering long-term trust through financial integrity.

• Bridge Cross-Functional Gaps: Act as the strategic link between Engineering, Finance, and GTM by translating complex financial requirements into scalable technical specifications and communicating platform guardrails early.

• Integrate AI Capabilities: Embed AI into the commerce platform, such as, billing optimization, anomaly detection, rating logic, and automating internal administrative and reporting activities.

• Lead Forensic Discovery: Conduct deep-dive investigations into the most complex parts of the commerce lifecycle, untangling legacy systems and technical debt to provide the organization with clear paths forward.

• Embed Data-Driven Decisioning: Drive system reliability and business outcomes by using analytics to guide prioritization and fostering a culture of continuous experimentation and learning.

• Technical Mentorship: While an individual contributor role, you will "raise the bar" for the PM org, mentoring PMs on technical product discovery, tracking communication and execution.

Qualifications 

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

*Required:

• 8+ years of industry experience.
• 5+ years of Product Management experience, with at least 3 years focused on commerce, billing, or financial platforms at scale
• Demonstrated ability to lead complex cross-functional initiatives across engineering, finance, risk, and operations.
• Strong technical acumen with experience in APIs, extensible platforms, and complex system design.
• Data-driven decision maker with a track record of defining KPIs and measuring platform success.
• Excellent communication and executive-level stakeholder management skills.
• Experience with SaaS, large-scale platforms, or multi-product ecosystems.
• Deep experience with Agile and related agile tooling, such as, Jira
• Bachelor's degree or equivalent experience

Desired:

• Platform Leadership: Previous leadership of platform migrations or unification efforts.
• ERP & Financial Integration: Experience integrating core billing engines with downstream financial systems like NetSuite, SAP, or Workday for automated revenue recognition.
• Global Tax Compliance: Familiarity with global tax engines (e.g., Avalara, Vertex) and the regulatory requirements of "Invoiced Billing" in international markets (VAT, GST, etc.).
• AI/ML Product Literacy: Experience identifying and implementing AI-driven solutions for financial or data-heavy domains, such as predictive revenue forecasting, automated discrepancy resolution, or LLM-integrated developer documentation.
• SaaS/CPQ Knowledge: Familiarity with the "Quote-to-Cash" ecosystem, including CPQ (Configure, Price, Quote) tools and how they interface with a core catalog.

Location

This role will be remote and based in Ontario, British Columbia or Alberta, Canada.

Travel 

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally 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. 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:

• Based in British Columbia: CAD 145,840.00 - CAD 182,300.00 
• Target Bonus Percentage 15%

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

See yourself at Twilio

Join the team as Twilio’s next Technical Program Manager.

About the job

We are looking for a highly strategic and collaborative Technical Program Manager to join our GTM Sales Automation team. This role will be responsible for defining, planning, and executing complex, cross-functional programs that drive significant improvements in our GTM processes and GTM automation infrastructure. You will work closely with leaders across Sales, Marketing, Sales Strategy, and other operational teams to ensure strategic alignment and successful delivery of impactful initiatives. You will also orchestrate key projects within the Sales Automation team to ensure alignment across different functions and successful roll out.  

Responsibilities

In this role, you’ll:

• Lead Cross-Functional GTM Initiatives:
• Develop comprehensive program plans, including scope, objectives, key results (OKRs), timelines, resource requirements, and risk mitigation strategies.
• Drive execution of these programs, often involving new tool implementations, large scale process re-engineering, or new internal product launches .
• Facilitate regular steering committee meetings and communicate program status, risks, and dependencies to executive stakeholders.
• Ensure change management plans are in place to drive successful adoption and utilization of new processes and technologies.
• Work with Sales Automation leaders to define and lead intra departmental initiatives 
•  Proactively identify risks, remove roadblocks, and champion adoption of new processes, tools, or strategies across GTM teams.
• Performance Measurement & Reporting:
• Define and track key performance indicators (KPIs) for all programs and initiatives, measuring their impact on GTM effectiveness and/or sales productivity.
• Create compelling reports and presentations for various audiences, including executive leadership, on program progress, outcomes, and business impact.
• Conduct post-implementation reviews to assess success and identify lessons learned.
• Stakeholder Management & Communication:
• Build strong, collaborative relationships with cross-functional stakeholders at all levels of the organization.
• Act as a central point of contact for program-related communications, ensuring transparency and alignment.
• Influence and motivate project team members, consultants, and partners to achieve common GTM goals.

Qualifications 

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

*Required:

• Bachelor's degree in Business Administration, Operations Management, Project Management, or a related field.
• 7+ years of experience in Program Management, Sales Operations, Business Operations, or Revenue Operations
• 5+ with a significant focus on sales automation or sales technology.
• Proven track record of successfully leading and delivering complex, cross-functional strategic initiatives in a fast-paced environment.
• Highly analytical with a data-driven approach to problem-solving and decision-making.
• Ability to think strategically and translate complex or ambiguous concepts into actionable plans.
• Excellent project management skills (PMP or similar certification a plus) with experience in various project management methodologies (e.g., Agile).
• Exceptional communication (written and verbal), presentation, and interpersonal skills, capable of influencing and engaging stakeholders at all levels.
• Expertise in sales automation tools and platforms (e.g., Salesforce, Sales Engagement Platforms like Outreach/Salesloft etc.) is highly desirable. Experience with implementation or optimization of these systems is a strong plus

Desired:

• Experience managing programs involving AI/ML integration into sales workflows.
• Familiarity with reporting and BI tools (e.g., Tableau, Power BI).
• Experience in a high-growth SaaS environment.
• Salesforce certification(s)

Location

This role will be remote and based in Ontario, British Columbia or Alberta, Canada. 

Travel 

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally 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. 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:

• CAD $120,640 - 150,800
• Target Bonus Percentage 15%

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

The opportunity

At Unity, we are building a world-class ad-tech ecosystem that connects billions of users with the creators and experiences they love. The Advertiser Growth team is the engine of this mission, ensuring that as our marketplace expands, advertisers have the intelligent tools, robust infrastructure, and rigorous experimentation frameworks needed to scale their impact.
In 2026, our roadmap is defined by three transformative pillars: Foundation, Smart, and Intelligence. This role is unique in its technical breadth, sitting at the intersection of financial execution, creative innovation, and marketplace science. You will architect the GenAI systems that build high-performing creatives, design the pacing algorithms that manage multi-million dollar budgets, ensure our billing pipelines handle massive scale with zero-fault tolerance, and build the experimentation infrastructure that allows us to scientifically evolve the marketplace. This is a high-stakes role where your technical leadership directly governs Unity’s financial integrity and the long-term growth of our ecosystem.

What you'll be doing

• Next-Gen budget pacing: Design and optimize sophisticated pacing controllers (PID, probabilistic forecasting) to smooth advertiser spend across diverse time zones and traffic spikes, ensuring optimal delivery and marketplace stability.
• Creative GenAI infrastructure: Lead the backend integration of Generative AI models (Diffusion, LLMs) to automate the creation of high-performing image and video assets tailored to specific campaign goals and formats.
• Marketplace experimentation engine: Build and scale the infrastructure for high-velocity experimentation, including A/B testing, switchback tests, and long-term holdouts to measure the impact of marketplace changes on advertiser ROI and platform health.
• High-Scale billing reliability: Architect and maintain high-throughput billing pipelines that process billions of events with 100% accuracy, bridging the gap between real-time ad delivery and mission-critical financial reconciliation.
• Scientific optimization: Analyze complex financial and marketplace datasets to refine the trade-off between spend velocity and advertiser performance, using experimentation results to tune pacing and billing logic.

What we're looking for

• Advanced degree in computer science or relevant engineering-related field or equivalent experience.
• 4+ years of software engineering experience, including 1+ year working on ads delivery systems.
• Extensive experience building and operating large-scale, low-latency backend systems using languages like Java, Go, or Scala.
• Deep familiarity with building or maintaining budget control systems, feedback loops, or spend-prediction algorithms.
• Proven experience building or scaling experimentation platforms, with a deep understanding of variance reduction, interference/network effects, and metric design in a marketplace context.
• A track record of working on "mission-critical" pipelines (like billing, payments, or clearinghouses) where data precision, idempotency, and fault tolerance are paramount.
• Experience or strong technical interest in building the backend workflows required to serve, scale, and store Generative AI models for creative asset generation.
• Proficiency with real-time stream processing (Kafka, Flink, or Spark) specifically applied to event-based charging and real-time performance feedback.
• A proven ability to lead complex, multi-quarter technical roadmaps and mentor senior engineers in a high-growth environment.

You might also have

• Experience embracing AI as a strategic advantage in engineering, following established best practices for code quality and security.

Additional information

• Relocation support is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN #LI-AR1

The opportunity
At Unity, we are building a world-class ad-tech ecosystem that connects billions of users with the creators and experiences they love. The Advertiser Growth team is the engine of this mission, ensuring that as our marketplace expands, advertisers have the intelligent tools, robust infrastructure, and rigorous experimentation frameworks needed to scale their impact.

In 2026, our roadmap is defined by three transformative pillars: Foundation, Smart, and Intelligence. This role is unique in its technical breadth, sitting at the intersection of financial execution, creative innovation, and marketplace science. You will architect the GenAI systems that build high-performing creatives, design the pacing algorithms that manage multi-million dollar budgets, ensure our billing pipelines handle massive scale with zero-fault tolerance, and build the experimentation infrastructure that allows us to scientifically evolve the marketplace. This is a high-stakes role where your technical leadership directly governs Unity’s financial integrity and the long-term growth of our ecosystem.

What you'll be doing

• Next-Gen budget pacing: Design and optimize sophisticated pacing controllers (PID, probabilistic forecasting) to smooth advertiser spend across diverse time zones and traffic spikes, ensuring optimal delivery and marketplace stability.
• Creative GenAI infrastructure: Lead the backend integration of Generative AI models (Diffusion, LLMs) to automate the creation of high-performing image and video assets tailored to specific campaign goals and formats.
• Marketplace experimentation engine: Build and scale the infrastructure for high-velocity experimentation, including A/B testing, switchback tests, and long-term holdouts to measure the impact of marketplace changes on advertiser ROI and platform health.
• High-Scale billing reliability: Architect and maintain high-throughput billing pipelines that process billions of events with 100% accuracy, bridging the gap between real-time ad delivery and mission-critical financial reconciliation.
• Scientific optimization: Analyze complex financial and marketplace datasets to refine the trade-off between spend velocity and advertiser performance, using experimentation results to tune pacing and billing logic.

What we're looking for

• Advanced degree in computer science or relevant engineering-related field or equivalent experience.
• 6+ years of software engineering experience, including 3+ years working on ads delivery systems.
• Extensive experience building and operating large-scale, low-latency backend systems using languages like Java, Go, or Scala.
• Deep familiarity with building or maintaining budget control systems, feedback loops, or spend-prediction algorithms.
• Proven experience building or scaling experimentation platforms, with a deep understanding of variance reduction, interference/network effects, and metric design in a marketplace context.
• A track record of working on "mission-critical" pipelines (like billing, payments, or clearinghouses) where data precision, idempotency, and fault tolerance are paramount.
• Experience or strong technical interest in building the backend workflows required to serve, scale, and store Generative AI models for creative asset generation.
• Proficiency with real-time stream processing (Kafka, Flink, or Spark) specifically applied to event-based charging and real-time performance feedback.
• A proven ability to lead complex, multi-quarter technical roadmaps and mentor senior engineers in a high-growth environment.

You might also have

• Experience embracing AI as a strategic advantage in engineering, following established best practices for code quality and security.

Additional information

• Relocation support is not available for this position

Life at Unity

Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. Therefore, we provide employment opportunities without regard to age, race, color, ancestry, national origin, disability, gender, or any other protected status in accordance with applicable law. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

L’opportunité
Chez Unity, nous bâtissons un écosystème publicitaire de calibre mondial qui relie des milliards d'utilisateurs(rices) aux créateurs(rices) et aux expériences qu'ils/elles aiment. Notre équipe Advertiser Growth est le moteur de cette mission. Au fur et à mesure que notre place de marché s'étend, elle veille à ce que les annonceurs(ses) aient entre les mains les outils, l'infrastructure et les cadres d'expérimentation nécessaires pour avoir un impact réel.

En 2026, notre feuille de route s'articule autour de trois piliers : Foundation, Smart et Intelligence.
Ce rôle se distingue par son étendue technique. Il est ancré à la fois dans l'exécution financière, l'innovation créative et la science des places de marché.
Vous concevrez les systèmes GenAI qui alimentent la production de créatifs performants, développerez les algorithmes qui orchestrent des budgets publicitaires à grande échelle, et veillerez à ce que nos Pipelines de facturation absorbent des milliards d'événements sans jamais flancher. Vous bâtirez aussi l'infrastructure d'expérimentation sur laquelle repose notre capacité à faire évoluer la place de marché de manière rigoureuse. Ici, vos choix techniques ne restent pas dans le vide : ils touchent directement à l'intégrité financière d'Unity et à la croissance de tout l'écosystème.

Ce que vous allez faire

• Concevoir et optimiser des contrôleurs de cadence sophistiqués (PID, prévision probabiliste) pour lisser les dépenses des annonceurs(ses) selon les fuseaux horaires et les pics de trafic, en garantissant une diffusion optimale et la stabilité de la place de marché.
• Diriger l'intégration côté serveur de modèles d'IA générative (Diffusion, LLMs) pour automatiser la création d'images et de vidéos performantes, adaptées aux objectifs et aux formats de chaque campagne.
• Bâtir et faire évoluer l'infrastructure d'expérimentation à haute vélocité, incluant les tests A/B, les switchback tests et les groupes de contrôle à long terme, afin de mesurer l'impact des changements de la place de marché sur le ROI des annonceurs(ses) et la santé de la plateforme.
• Concevoir et maintenir des Pipelines de facturation à haut débit qui traitent des milliards d'événements avec une précision absolue, en faisant le pont entre la diffusion publicitaire en temps réel et la réconciliation financière critique.
• Analyser des ensembles de données financières et de place de marché complexes pour affiner l'équilibre entre la vélocité des dépenses et la performance des annonceurs(ses), en s'appuyant sur les résultats d'expérimentation pour ajuster la logique de cadence et de facturation.

Ce que nous recherchons

• Un diplôme avancé en informatique ou dans un domaine connexe, ou expérience équivalente.
• 6+ ans d'expérience en développement logiciel, dont au moins 3 ans sur des systèmes de diffusion publicitaire.
• Une solide expérience dans la conception et l'exploitation de systèmes serveur à grande échelle et à faible latence, notamment en Java, Go ou Scala.
• Une bonne maîtrise des systèmes de contrôle budgétaire, des boucles de rétroaction ou des algorithmes de prévision des dépenses.
• Un parcours concret dans la construction ou la mise à l'échelle de plateformes d'expérimentation, avec une compréhension fine de la réduction de variance, des effets de réseau et de la conception de métriques dans un contexte de place de marché.
• Une expérience sur des Pipelines critiques (facturation, paiements, chambres de compensation) où la précision des données.
• Une expérience ou intérêt réel dans la conception des flux côté serveur pour déployer, mettre à l'échelle et stocker des modèles d'IA générative dédiés à la production créative.
• La maîtrise du traitement de flux en temps réel (Kafka, Flink ou Spark), appliqué à la facturation événementielle et à la rétroaction sur la performance.
• L'habitude de piloter des feuilles de route techniques ambitieuses sur plusieurs trimestres, et de faire grandir des développeurs(ses) sénior(e)s dans un environnement qui évolue vite

Information supplémentaire

• Le support à la relocalisation n’est pas disponible pour ce poste

Avantages
Chez Unity, nous voulons que nos membres d’équipe s’épanouissent. Nous offrons un large éventail d’avantages conçus pour soutenir le bien-être et l’équilibre travail-vie personnelle.

Veuillez noter: L’admissibilité aux avantages, les offres spécifiques et la couverture varient selon le pays et le statut d’emploi.

Bien que les avantages précis puissent varier, voici certaines des façons dont nous nous efforçons de prendre soin de nos membres d’équipe admissibles à l’échelle mondiale : assurance santé, vie et invalidité complète | Subvention pour les déplacements | Participation des employés à l’actionnariat | Régimes de retraite/pension compétitifs | Vacances et congés personnels généreux | Soutien aux nouveaux parents grâce à des congés et des programmes de soutien aux familles | Collations offertes au bureau | Programmes et soutien en matière de santé mentale et de bien-être | Groupes-ressources pour employés | Programme mondial d’aide aux employés | Programmes de formation et de perfectionnement | Programme de bénévolat et de jumelage de dons

La vie chez Unity
Unity [NYSE : U] est le premier moteur de jeu au monde, propulsant les expériences de plus de 3 milliards d’utilisateurs(rices) chaque mois. Les plus grands jeux mobiles, les titres indépendants PC les plus populaires, des jeux console parmi les plus innovants, ainsi que la quasi-totalité des principales expériences XR et jeux Web sont développés, déployés et optimisés avec Unity.

Unity accompagne également des équipes dans des secteurs tels que l’automobile, l’industrie manufacturière et la santé pour concevoir, simuler et collaborer en 3D - comblant ainsi l’écart entre les idées et la réalité. Pour plus d’informations, veuillez visiter www.unity.com.

Unity est un employeur fier de garantir l’égalité des chances. Nous nous engageons à favoriser un environnement inclusif et innovateur et à célébrer nos employés à travers l’âge, l’éthinicité, la couleur, l’ascendance, l’origine nationale, la religion, le handicap, le sexe, l’identité ou l’expression de genre, l’orientation sexuelle ou tout autre statut protégé conformément à la loi applicable. Si vous êtes en situation de handicap ou avez des besoins spécifiques nécessitant des aménagements pour que votre entretien se déroule dans les meilleures conditions, nous vous invitons à remplir ce formulaire afin de nous en informer et que nous puissions faire le nécessaire.

Ce poste exige que son ou sa titulaire possède une connaissance de l’anglais qui soit suffisante pour lui permettre d’avoir des échanges professionnels verbaux et écrits dans cette langue, puisque l’accomplissement des tâches liées à ce poste nécessite des communications fréquentes et régulières avec des collègues et partenaire situés à l’échelle mondiale et dont la langue commune est l’anglais.

Les chasseurs de têtes et les agences de recrutement ne peuvent pas soumettre résumes/CV par ce site Web ou directement aux superviseurs. Unity n’accepte pas des chasseurs de têtes non sollicités et des résumés (CV) d’agence. Unity ne payera pas d’honoraires à aucune agence tierce ou entreprise qui n’a pas signé d’ententes avec Unity.

La protection de votre vie privée est importante pour nous. Veuillez prendre un moment pour consulter nos politiques de confidentialité pour les prospects et les candidats. Si vous avez des questions concernant la protection de votre vie privée, veuillez nous contacter à DPO@unity.com.

#SEN #LI-AR1

Transmit Security is a cross-channel identity and orchestration platform designed to simplify, accelerate, and reduce the cost of identity-related projects, such as authentication, authorization, fraud prevention, and new account opening. The platform provides cutting-edge capabilities by fusing Identity Management and Fraud Prevention, allowing businesses to balance customer experience with fraud reduction while enhancing security and agility.

We are seeking a Sales Engineer to join our team, with a strong focus on building and owning strategic relationships, and driving technical success. As a trusted technical counterpart, you will leverage Transmit’s unique Fraud and Identity Fusion approach to deliver value to our customers, helping them address both business and fraud challenges holistically. You’ll work closely with sales to influence both technical and business outcomes while driving adoption of Transmit’s fraud prevention and identity orchestration solutions.

Key Responsibilities:

• Account Ownership: Build and nurture strong relationships with technical stakeholders, acting as a trusted technical advisor. Work as part of the sales team to own the technical account relationship and drive success across the sales lifecycle.
• Promote Fraud and Identity Fusion: Highlight the power of Transmit Security’s Fraud and Identity Fusion capabilities, which combine Identity Verification, Fraud Detection, and Customer Behavior Insights. Demonstrate how this integration reduces fraud while improving customer experiences across all channels.
• Strategic Engagement: Develop long-term, strategic relationships with customers by delivering fraud insights and identity management solutions tailored to their needs. Ensure they experience the business value of balancing fraud prevention and customer convenience.
• Technical Presentations & Demos: Lead technical product demonstrations and proof of concept presentations, showcasing how Transmit’s fusion of identity management and fraud detection enhances security and operational efficiency while improving the customer journey.
• Pre-Sales Guidance: Provide expert guidance throughout the sales process, demonstrating how risk-adaptive customer journeys, fraud telemetry, and dynamic rules can support both fraud prevention and customer experience goals.
• Collaborative Sales Process: Work in close collaboration with sales and post-sales teams to ensure a smooth transition from pre-sales to successful deployment. Address any technical objections by aligning Transmit’s platform capabilities with customer needs.
• Solution Customization: Customize solutions that leverage Transmit’s native AI/ML-powered services, risk-informed customer journeys, and fraud detection tools, ensuring that customers achieve maximum business value.
• Account Strategy Support: Support account strategy by helping customers deploy rapid, fraud-resistant identity solutions that are adaptive, secure, and compliant.

Required Skills & Qualifications:

• 3-5 years of sales engineering experience, with a strong understanding of both identity management and fraud prevention.
• Proven success in building strategic relationships, acting as a technical counterpart to sales and influencing decision-makers.
• Technical expertise in delivering customized technical presentations and proof of concept workshops focused on fraud and identity orchestration.
• Understanding of IAM and fraud prevention concepts: Authentication, Authorization, Single Sign-On (SSO), User Lifecycle Management, Fraud Detection, Risk-Adaptive Journeys, and Customer Behavior Insights.
• Experience with cloud services (AWS, GCP, Azure) and their integration with security solutions.
• Excellent communication skills with the ability to engage both technical and non-technical stakeholders, translating complex technical concepts into business outcomes.
• Collaborative mindset, with experience working across sales and technical teams to deliver holistic solutions.

Nice to Have:

• Experience in SaaS solution selling, particularly in the security or fraud prevention space.
• Familiarity with Transmit Security’s Fusion capabilities, including AI/ML-powered fraud detection, identity orchestration, and dynamic fraud response tools.

Transmit Security is committed to fostering, cultivating and preserving a culture of Diversity and Inclusion. Our human capital is the most valuable asset we have. The collective sum of the individual differences, life experiences, knowledge, inventiveness, innovation, self-expression, unique capabilities and talent that our employees invest in their work represents a significant part of not only our Culture, but our Reputation and Achievements as well.  We encourage diversity and embrace our employees’ differences in age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical ability, political affiliation, race, religion, sexual orientation, socioeconomic status, veteran status, and other characteristics that make our employees unique.

#LI-CY1   #LI-Remote

Customer Experience:

The Customer Experience Team at Nebius AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.

The role

We are seeking a highly skilled and customer-focused professional to join our team as a Solutions Architect specializing in Cloud infrastructure and MLOps. As a Cloud Solutions Architect, you will play a pivotal role in designing and implementing cutting-edge solutions for our clients, leveraging cloud technologies for ML/AI teams and becoming a trusted technical advisor for building their pipelines.

You’re welcome to work remotely from the US or Canada.

Your responsibilities will include: 

• Act as a trusted advisor to our clients, providing technical expertise and guidance throughout the engagement. Conduct PoC, workshops, presentations, and training sessions to educate clients on GPU cloud technologies and best practices.
• Collaborate with clients to understand their business requirements and develop solution architecture that align with their needs: design and document Infrastructure as code solutions, documentation and technical how-tos in collaboration with support engineers and technical writers.
• Help customers to optimize pipeline performance and scalability to ensure efficient utilization of cloud resources and services powered by Nebius AI.
• Act as a single point of expertise of customer scenarios for product, technical support, marketing teams.
• Assist to Marketing department efforts during events (Hackathons, conferences, workshops, webinars, etc.)

We expect you to have: 

• 5 - 10 + years of experience as a cloud solutions architect, system/network engineer, developer or a similar technical role with a focus on cloud computing
• Strong hands-on experience with IaC and configuration management tools (preferably Terraform/Ansible), Kubernetes, skills of writing code in Python
• Solid understanding of GPU computing practices for ML training and inference workloads, GPU software stack components, including drivers, libraries (e.g. CUDA, OpenCL)
• Excellent communication skills
• Customer-centric mindset

It will be an added bonus if you have: 

• Hands-on experience with HPC/ML orchestration frameworks (e.g. Slurm, Kubeflow)
• Hands-on experience with deep learning frameworks (e.g. TensorFlow, PyTorch)
• Solid understanding of cloud ML tools landscape from industry leaders (NVIDIA, AWS, Azure, Google) 

Key Employee Benefits:

• Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) Plan: Up to 4% company match with immediate vesting.
• Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote Work Reimbursement: Up to $85/month for mobile and internet.
• Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.

Compensation

We offer competitive salaries, ranging from 225k - 315k OTE (On-Target Earnings) and equity based on your experience, skills, and location.

Join Nebius Today!

Customer Experience:

The Customer Experience Team at Nebius AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.

The role

We are seeking a highly skilled and customer-focused professional to join our team as a AI/ML Specialist Solutions Architect specializing in Cloud infrastructure and MLOps. As a Cloud Solutions Architect, you will play a pivotal role in designing and implementing cutting-edge solutions for our clients, leveraging cloud technologies for ML/AI teams and becoming a trusted technical advisor for building their pipelines.

You’re welcome to work remotely from the US or Canada.

Your responsibilities will include: 

• Act as a trusted advisor to our clients, providing technical expertise and guidance throughout the engagement. Conduct PoC, workshops, presentations, and training sessions to educate clients on GPU cloud technologies and best practices.
• Collaborate with clients to understand their business requirements and develop solution architecture that align with their needs: design and document Infrastructure as code solutions, documentation and technical how-tos in collaboration with support engineers and technical writers.
• Help customers to optimize pipeline performance and scalability to ensure efficient utilization of cloud resources and services powered by Nebius AI.
• Act as a single point of expertise of customer scenarios for product, technical support, marketing teams.
• Assist to Marketing department efforts during events (Hackathons, conferences, workshops, webinars, etc.)

We expect you to have: 

• 5 - 10 + years of experience as a cloud solutions architect, system/network engineer, developer or a similar technical role with a focus on cloud computing
• Strong hands-on experience with IaC and configuration management tools (preferably Terraform/Ansible), Kubernetes, skills of writing code in Python
• Solid understanding of GPU computing practices for ML training and inference workloads, GPU software stack components, including drivers, libraries (e.g. CUDA, OpenCL)
• Excellent communication skills
• Customer-centric mindset

It will be an added bonus if you have: 

• Hands-on experience with HPC/ML orchestration frameworks (e.g. Slurm, Kubeflow)
• Hands-on experience with deep learning frameworks (e.g. TensorFlow, PyTorch)
• Solid understanding of cloud ML tools landscape from industry leaders (NVIDIA, AWS, Azure, Google) 

Key Employee Benefits:

• Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) Plan: Up to 4% company match with immediate vesting.
• Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote Work Reimbursement: Up to $85/month for mobile and internet.
• Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.

Compensation

We offer competitive salaries, ranging from 225k - 315k OTE (On-Target Earnings) and equity based on your experience, skills, and location.

Join Nebius Today!

The role

Nebius seeks a Key Customers Solutions Architect to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.

You’re welcome to work remotely from the United States or Canada.

Your responsibilities will include: 

• Serve as the primary technical point of contact, troubleshooting and resolving complex AI/ML.
• Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
• Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
• Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
• Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.

We expect you to have:

• Experience: 5 - 10 + years in roles like Cloud Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
• Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
• Experience with Kubernetes and Python programming.
• Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).
• Customer-centric approach with a proven ability to build trust and foster long-term relationships.
• Strong ability to explain technical concepts to technical and non-technical audiences.

It will be an added bonus if you have:

• Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
• Strong project management skills, with the ability to prioritize tasks and deliver on deadlines.
• Proven experience mentoring technical teams and driving team growth.
• Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.

Key Employee Benefits:

• Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) Plan: Up to 4% company match with immediate vesting.
• Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote Work Reimbursement: Up to $85/month for mobile and internet.
• Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.

Compensation

We offer competitive salaries, ranging from $255k - $315k OTE (On-Target Earnings) and equity based on your experience, skills, and location.

Join Nebius Today!

The Role

As the CTO of Overstory, you will lead and scale a world-class engineering team that reduces the risk of wildfires and power outages around the world. This is a rare opportunity for a seasoned engineering leader to help guide a commercially successful climate-tech company through its next stage of growth.

Following our Series B, we’re entering a phase of rapid expansion. You will define a compelling technical strategy and build the team to deliver it. This role requires someone who can zoom in and out seamlessly — rolling up your sleeves to solve complex technical problems while also communicating effectively with the board.

Our product sits at the intersection of AI and remote sensing — fields evolving at light speed. The work is exciting, mission-driven, and core to transforming the electric utility industry and creating a more resilient grid. But it comes with ambiguity. We’re looking for someone energized by the unknown, eager to build products customers love through bold, creative approaches. You must be comfortable balancing the needs of a growing business with building scalable solutions for the future — and be ready to move with urgency on both.

Time zone requirement: Europe (GMT/WET, CET) and Eastern United States (EST)

What A Successful Candidate Looks Like

You’re an entrepreneurial startup leader with a track record of leading engineering teams from Series A through Series C and beyond with a mix of boldness and empathy. You understand the ups and downs that are normal at VC-backed startups. You know how to inspire global teams with an exciting vision while offering them the hands-on support to bring it to life. 

You have a strong network to tap, and you are bold in your recruiting. You’re not afraid to hire people who know more than you and to stretch for top talent, and you understand that recruiting is a top priority that requires constant networking and attention. You will build a diverse team that has a high-performing, inclusive, and caring culture.

What You’ll Do

• Lead the development of all of Overstory’s technology, including our software product, our ML models, the internal tools we use and the platform that underlies it all.
• Work in close partnership with our VP Product & Strategy to propel the business forward with the product we are developing. You’ll work to deeply understand our customers' problems so that you can lead bold engineering initiatives to solve them.
• Build a high-performing and diverse engineering team that works remotely from multiple countries, and across multiple time zones.
• Create a compelling technical vision and translate that into a strategy for the next 12-36 months.
• Lead highly productive cross-functional teams that ship a high-quality product on a daily basis. 
• Foster an inclusive culture where everyone can do their best work.
• Create strong lines of communication within your team and partnerships with other key parts of the business.

About You

Traits we value:

• Boldness: You’re not afraid to make hard decisions and take risks, and you always act with urgency. 
• Mission-driven: You care deeply about building great products that help communities adapt to climate change by creating a more resilient electrical grid.
• Empathy: You can attract and develop a diverse team, and you are inclusive in your approach to leadership. 
• Listening: You lead with inquiry. You make people on your own team and across the company feel heard.
• Curiosity: Learning excites you, and you’re not afraid to admit what you don’t know.
• Clarity: You’re a simplifier, not a complicator, and you can communicate clearly to a broad audience without using jargon. 
• Collaborative spirit: Team above ego, and you’re never afraid to get your hands dirty.

Experience we value:

• You have managed a team of 70+ people.
• You have been on a VC-backed startup journey from Series A through Series C or later, and you know how to scale a team successfully through those transitions. You value the entrepreneurial “get it done fast” spirit of the early days, while also setting a standard for excellence that will scale to later stages.
• You have experience working on a complex, ML-based product. Bonus points for geospatial or remote sensing experience. 
• You have a deep understanding of software development processes and are product-centric in the way you think about building technology. 
• You have experienced the value of cross-functional teams where engineering, product and design work side-by-side. 
• You have managed remote teams.
• You have managed global teams.

What We Offer

• Competitive, location-specific compensation and benefits 
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

Role & Team

We’re looking for a Director of Platform & Infrastructure to own and evolve our core engineering foundations. Reporting to our VP of Product Engineering, this role will lead SRE, MLOps, and Platform teams with a mandate to create leverage across the entire organization.

As a scaling startup, we’re evolving from early-stage infrastructure to a more mature, reliable platform that can support rapid product development and growing customer demand. This role is critical in helping us make that transition — building systems, standards, and teams that enable speed today while laying the foundation for long-term scale.

Partnering closely with product, data, and application engineering teams, you will set the technical vision, define best practices, and ensure our infrastructure enables teams to move fast with confidence.

This is a highly cross-functional leadership role for someone who combines deep technical judgment with a systems mindset, strong people leadership, and a passion for building platforms that empower others.

Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)

What You'll Do 

• Own the platform strategy across Platform, MLOps, and SRE, aligning it with company and product goals
• Grow senior ICs (and eventually manages) across multiple teams, fostering strong technical leadership and healthy team cultures
• Define and evolve our platform vision, including developer experience, internal tooling, CI/CD, infrastructure, observability, and reliability standards
• Oversee MLOps systems that support model development, training, deployment, monitoring, and governance in production
• Partner cross-functionally with Product, ML, Data, Security, and Compliance to ensure the platform meets current and future needs
• Balance speed and stability, making thoughtful tradeoffs between innovation, cost, reliability, and operational excellence
• Set metrics and accountability for platform performance, reliability, and developer productivity

Skills & Experience

• 10+ years experience leading platform, infrastructure, or reliability teams in a scaling startup environment, including navigating ambiguity, rapid growth, and the transition from early-stage systems to more mature, repeatable platforms
• Strong understanding of cloud-native infrastructure (GCP strongly preferred), Kubernetes, CI/CD, and modern DevOps practices
• Experience supporting machine learning systems in production, including model deployment, monitoring, and lifecycle management
• A track record of building reliable, scalable systems used by fast-moving product teams
• Excellent people leadership skills — you know how to coach managers, grow talent, and build inclusive, high-performing teams
• Strong communication skills and the ability to influence across org boundaries
• Experience in data- or ML-heavy products

Nice To Have

• Experience with geospatial data, image processing or mapping technology 

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer

• Competitive, location-specific compensation and benefits.  
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

Role & Team

We’re looking for a Product Designer to play a leading role in shaping our customer-facing product. This is a role for someone entrepreneurial who wants to roll up their sleeves and get their hands dirty with designing a product in its early stages. Reporting to the Head of Design, you’ll work closely with the rest of a dedicated team to build Overstory so that it has a giant impact on the world.

For this role we are looking to hire in the US or Canada (East Coast preferred), to be in close proximity to our customers. The team you would be working day-to-day with is distributed throughout the US and Europe.

Time zone requirement: Eastern North America (NST, AST, EST)

What You’ll Do

• Lead the end-to-end product design process of our customer-facing product including user research, wireframes, prototypes, flows, detailed design specs and QA.
• Understand engineering and business constraints to create shippable solutions to users’ problems, and continuously validate the solutions with customers.
• Lay out a design vision for what's possible by quickly iterating, knowing when to pay attention to detail and when to make low-fi sketches and prototypes.
• Communicate and present your work clearly and frequently to teammates and company leaders.
• Take full ownership of your work. That also means getting involved on how to communicate it to customers when releases happen.
• Think both short- and long-term so that you can meet near-term deadlines while iterating toward a future vision.
• Facilitate alignment and vision exercises (e.g. design sprints, workshops, planning).
• Occasionally meet in-person with our customers to run workshops, attend field visits and learn about how our customers are leveraging Overstory in their day-to-day operations
• Occasionally attend industry events to keep an eye on competition, and learn about how our prospects and customers are thinking about leveraging disrupting technology 

Skills & Experience

• A strong portfolio featuring examples of interaction design work
• Experience working at an early-stage startup
• Demonstrated experience with end-to-end (hybrid UX and UI) product design for enterprise software
• Demonstrated experience working with cross-functional teams (product, engineering and design)
• Skilled in turning the complex into dead simple experiences that non-technical users grasp with ease
• Exceptional verbal, written and visual communication skills in a fast-paced environment
• Experience leading design sprints and building consensus around the best ideas
• Experience taking calculated risks; comfortable learning as you go, making mistakes, adhering to the notion that good/done > perfect
• A genuine passion for the urgency of solving our climate crisis

Nice To Have

• 5+ years of product design experience
• Experience working on a B2B SaaS product
• Experience working closely with machine learning engineers and/or data scientists 
• Experience designing LLMs/AI powered products and know when the technology can be used to deliver delightful experiences
• Experience working with maps/geospatial data

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer

• Competitive, location-specific compensation and benefits 
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

Role & Team

As a Staff Machine Learning Engineer at Overstory, you will lead the development and scaling of our Wildfire Fuel Detection Model. This core engine powers how we understand vegetation structure, fuel loads, and wildfire risk from satellite and environmental data. You’ll help shape the next generation of Overstory’s modeling capabilities by combining cutting-edge ML techniques, large-scale geospatial data, and real-world domain expertise.

Reporting to our VP of Product Engineering, you’ll work closely with data scientists, ML engineers, and product teams to ensure our wildfire models are accurate, robust, and production-ready – balancing scientific rigor with practical engineering excellence. As a senior technical leader, you’ll mentor other engineers, drive architectural decisions, and define standards for modeling, experimentation, and deployment across Overstory.

Time zone requirement: Eastern North America (NST, AST, EST)

What You’ll Do

In collaboration with data, ML, and science colleagues, you will:

• Architect and build advanced ML models to map and predict vegetation and fuel conditions across diverse geographies.
• Design and maintain robust data and feature pipelines for large-scale geospatial and temporal data.
• Partner with wildfire science and product teams to define modeling objectives and evaluation metrics tied to real-world impact.
• Build reproducible experimentation frameworks and model evaluation workflows.
• Scale models from research to production with a focus on performance, reliability, and explainability.
• Lead the evolution of ML systems, tooling, and processes — ensuring that our wildfire fuelscape models remain state-of-the-art and maintainable.
• Collaborate with MLOps peers to streamline training, inference, and monitoring in production environments.

Skills & Experience

• Experience thriving at the intersection of machine learning, geospatial data, and environmental science; deeply motivated by the opportunity to reduce wildfire risk through data-driven insights
• 10+ years of experience designing and building production-grade ML pipelines and systems 
• Strong background in deep learning, computer vision, or remote sensing
• Skilled in designing end-to-end ML systems — from data ingestion and preprocessing to deployment and monitoring
• Hands-on experience with frameworks like PyTorch, TensorFlow, XGBoost, or LightGBM, and data tools like Dask, Spark, or GeoPandas
• Familiarity with GCP and Vertex AI, or similar cloud-based ML platforms
• Strong communication skills and ability to collaborate across technical and scientific domains
• Comfortable leading architectural discussions and mentoring other engineers

Nice To Have

• Background in wildfire science, forestry, or remote sensing
• Experience integrating physics-based models with ML or working with active learning and uncertainty quantification
• Experience in model interpretability and data provenance for environmental ML systems
• Experience with deep learning models for weather or climate data
• Experience in remote-first or globally distributed teams

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer

• Competitive, location-specific compensation and benefits 
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

SLSQ327R1

As an Account Executive - Enterprise Hunter, your primary mission will be to identify, acquire, and grow new business opportunities across multiple industries. This role is focused on securing new logos and driving revenue growth by targeting Enterprise accounts across the Public Sector. You are a proactive "hunter" who thrives on building relationships, navigating complex sales cycles, and closing high-value deals. You will work closely with cross-functional teams to deliver tailored solutions that address client needs and establish long-term partnerships. You will report to the Sales Director, Public Sector.

The impact you will have:

• Secure new Enterprise accounts across multiple customers, creating a strong foundation for long-term partnerships.
• Develop and execute a focused strategy for identifying and winning high-potential accounts in untapped markets.
• Identify and close quick wins while managing longer, complex sales cycles.
• Plan, document, and drive the growth of Databricks usage in newly won accounts to maximize customer impact.
• Establish essential C-Level relationships, including Engineering, Platform, Architecture, and Data Science roles, who will, in turn, be your industry advocates.
• Use a solution-based approach to selling and creating value for customers.
• Develop a deep and detailed understanding of the customer's business.
• Provide leadership to the customer, important staff, and technical teams.
• Identify all important data use cases and buying centers in an opportunity, to increase the impact of Databricks in an organization.
• Orchestrate and use Databricks teams and ecosystem partners to maximize your impact on your sales motions.

What we look for:

• 5+ years of experience selling multi-million dollar complex software deals to the region's recognizable organizations within the Public Sector segment.
• Knowledge of segment priorities, buying processes, buying cycles, decision-making process, and the ecosystem.
• Background in selling usage-based PaaS/ SaaS solutions, or other Data/ AI/ML technologies.
• 5+ years of experience in sales methodologies and processes, e.g. account planning, MEDDPICC, value selling, and Command of the Message.
• 5+ years of experience in hunting in a greenfield space while also consulting with existing accounts to expand further use.
• Build customer champions and collaborative teams to support the implementation of the expansion plan.
• Understanding of how to develop a clear partner strategy and manage it successfully.

MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100, the definitive ranking of the top 100 private cloud companies in the world.

We are seeking a Principal Technical Program Manager to drive our most complex, cross-functional engineering initiatives. You'll own a portfolio of programs spanning Core product, AI/ML, Platform, Infrastructure, and Enterprise — operating as a peer to our senior engineering leaders and influencing without direct authority. This is a senior individual contributor role.

What You’ll Do

• Own end-to-end execution of company-critical programs that span Core product, AI/ML, Platform, Infrastructure, and Enterprise teams.
• Lead design and delivery of highly complex initiatives in ambiguous or new technology areas; make tradeoffs across scope, quality, timing, and architectural debt.
• Establish OKRs, KPIs, and the operating rhythm (planning, reviews, retros, exec updates) that keep a fully distributed engineering org aligned and shipping.
• Surface cross-team risks early, provide escalation management, and steer teams away from prior failure patterns.
• Create scalable mechanisms and methodologies that hold up as the engineering org grows.
• Author strategy narratives, program plans, and exec memos; present to leaders two and three levels above with the clarity expected at the principal level.

About You

• 10+ years managing technical programs across cross-functional engineering teams.
• 3+ years operating at a principal or staff level driving multi-org programs.
• Experience leading complex programs in at least three of: infrastructure or platform, AI/ML, consumer or frontline products, and enterprise/B2B.
• Experience defining KPIs and SLAs and reporting program outcomes to executive leadership.

Preferred Qualifications

• Experience shipping AI/ML-powered products or working with foundation models.
• Experience scaling platform or infrastructure teams through hypergrowth.
• Experience supporting an upmarket motion to Fortune 5000 customers.
• Track record authoring strategy narratives and exec memos that drive decisions.
• Demonstrated track record of using AI tools (Claude, ChatGPT, etc) to scale your own throughput as a TPM.

What’s In It for You

• Competitive salary and meaningful equity opportunities.
• Healthcare, dental, and vision coverage.
• 401(k) / RRSP enrollment program.
• Take-what-you-need PTO and flexible work culture.
• A Work Culture where:
  • You'll work alongside folks across the globe that reflect the MaintainX values, Smart Humble Optimist.
  • We believe in meritocracy, where ideas and effort are publicly celebrated.

About Us

Our mission is to make the lives of blue-collar workers easier worldwide by creating software that meets their needs and realities. Our product is truly life-changing for 80% of the workforce that doesn’t work behind a desk and needs enterprise-grade software at their fingertips.

MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

#LI-Remote

Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, & co-founder, Tim Shi, an early member of Open AI.

We’ve assembled a world-class team of AI and ML experts, go-to-market leaders, and top-tier investors including Andreessen Horowitz, Greylock Partners, Sequoia, and former AT&T CEO John Donovan. Our valued customers include brands like Intuit, Cox Communications, Hilton, and Carmax and we’ve been recognized by Forbes and Bain Consulting as one of the top private AI companies in the world.

Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.

About the role:

We’re looking for an exceptional Senior Product Marketing Manager, Insurance to own and scale Cresta’s positioning, messaging, and GTM strategy for the Insurance industry. This role reports to the VP of Product Marketing and will play a critical role in shaping how Cresta positions, sells, and grows in one of our most strategic verticals.

Responsibilities: 

• You’ll own the development and continuous refinement of Cresta’s positioning and messaging for the Insurance industry, translating our platform capabilities into clear, differentiated industry narratives that resonate with buyers, operators, and executives
• You’ll help establish Cresta as a thought leader in the Insurance industry, shaping the market conversation around the future of AI-powered customer experience through strategic content, industry events, analyst engagement, and customer storytelling
• You’ll develop and maintain deep buyer personas, advancing our internal understanding of Insurance-specific pain points, priorities, and decision dynamics to ensure our messaging drives relevance and confidence in deals
• You’ll partner closely across product, sales, solutions, and marketing, serving as the connective tissue to build and execute Insurance-specific go-to-market strategies that accelerate pipeline and revenue growth
• You’ll bring new product capabilities and innovations to market through an Insurance lens, leading vertical launches and creating the sales enablement and supporting materials needed to drive adoption and impact
• Your deep understanding of what drives our wins and losses across the Insurance industry will help you provide a data-driven point of view to influence product roadmap priorities, sharpen our positioning, and optimize our vertical strategy over time
• You love to move fast, get your hands dirty, and solve open-ended problems, balancing strategic thinking with hands-on execution to help Cresta win in the Insurance industry

Qualifications:

• Bachelor’s degree in Marketing, Business Administration, a related technical field or equivalent practical experience
• At least 7 years of product marketing or solutions marketing experience, with deep domain knowledge of the Insurance industry
• Experience managing cross-functional or cross-team projects
• Excellent communication skills and comfortable presenting in executive-level settings
• Excellent research skills and experience producing data-driven market analysis

Preferred Qualifications:

• Experience in software categories related to contact centers, customer experience and AI Agents
• Experience in hypergrowth scale-ups

Perks & Benefits:

We offer a comprehensive and people-first benefits package to support you at work and in life:

• Comprehensive medical, dental, and vision coverage with plans to fit you and your family
• Flexible PTO to take the time you need, when you need it
• Paid parental leave for all new parents welcoming a new child
• Retirement savings plan to help you plan for the future
• Remote work setup budget to help you create a productive home office
• Monthly wellness and communication stipend to keep you connected and balanced
• In-office meal program and commuter benefits provided for onsite employees

Compensation at Cresta:

Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table.

The posted base salary range represents what we expect to pay for this role in a given location. 

Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family.

Salary Range: $150,000 - 200,000 + Equity

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai

Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi, an early member of Open AI.

Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.

About the role:

At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agents that solve practical problems for our customers. We are focused on leveraging the latest technologies in Large Language Models (LLMs) and AI Agent systems, while ensuring that the solutions we develop are cost-effective, secure, and reliable. 

As a Forward Deployed Engineering Intern on the AI Agent team, you’ll support real-world AI deployments and gain hands-on experience with AI systems in customer environments.

What You'll Do :

• Assist in developing and configuring AI agents using Cresta’s platform tools.
• Help build and test integrations between AI agents and external systems (like APIs or data sources).
• Support performance tuning and troubleshooting of AI agent prototypes.
• Work with customers and internal engineering teams to understand requirements and iterate on solutions.
• Participate in team demos, feedback sessions, and learning opportunities.
• This role provides mentorship and exposure to customer-facing technical problem solving in a fast-moving AI/Product environment.

What We're Looking For:

• Enrolled in a Bachelor’s or Master’s degree program in Computer Science, Engineering, or a related field.
• Experience writing code in Python (or another general-purpose language).
• Basic understanding of programming fundamentals and software development best practices.
• Strong interest in artificial intelligence, machine learning, or software engineering.
• Excellent communication skills and willingness to collaborate with teammates and customers.

Nice-to-Haves

• Experience with APIs, web development, or cloud platforms.
• Prior coursework or projects involving AI/ML concepts or LLMs.
• Exposure to prompt engineering or similar experimentation.

Compensation: CAD $30-50/hour
Perks:

• Lunch and dinner can be expensed (up to $25 each) while working in the office
• Well-stocked office with snacks and drinks
• Convenient downtown location near Union Station (public transit accessible)
• PTO: 4 days
• Exposure to cutting-edge AI systems in production

This posting will be used to fill a newly-created role.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.  If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai

The Identity Threat Protection Team

Identity Threat Protection (ITP), powered by cutting-edge Okta AI, shatters the mold of traditional login security. We deliver real-time, surgical defense against the most sophisticated and rapidly evolving threats. By deeply integrating with existing security infrastructure, ITP relentlessly analyzes user behavior and system data to proactively hunt down and neutralize risks before they impact our customers.

Join an elite team of full-stack engineers, visionary data scientists, and pioneering ML engineers. We are not just redefining cloud authentication—we are engineering the next-gen security platform that continuously evaluates global threats and constructs a comprehensive, dynamic risk. ITP stands as the uncompromising guardian of trust and security, placing decisive risk prioritization at the core of every authentication and authorization decision.

Identity Threat Protection with Okta AI

The Staff Software Engineer Opportunity

Okta is seeking a Staff Software Engineer to be a driving force on the ITP engineering team. This is your chance to dive into the deep end and solve the most critical and complex security challenges facing enterprises today. We seek a candidate who has not just experience, but a proven record of designing, building, launching, and scaling world-class security products—from concept to global deployment.

You will be a technical cornerstone of a team that lives and breathes elegant solutions and uncompromising quality. Our philosophy is rooted in relentless automated testing, rigorous code reviews, and the design of systems for massive, planetary-scale operations. As a Staff Engineer, you are a player-coach and a standard-setter, demonstrating absolute excellence in software engineering.Our environment is high-speed, fiercely innovative, and highly autonomous, utilizing agile cycles where individual ownership is paramount. If you crave stimulating, mission-critical security projects, pioneering emerging technologies, and conquering complex security and Machine Learning challenges, this is your defining career opportunity.

What you’ll be doing 

• Architect and Lead: Command the design, development, delivery, and supportability of cloud-native security products—leading the charge from initial concept to final, production-ready implementation.
• Drive Collaboration: Build solid, cross-group partnerships and demonstrate exceptional interpersonal communication, working closely with engineering, product management, design, support, and documentation teams.
• Uphold Excellence: Commit to the highest programming standards through rigorous code reviews and the creation of comprehensive unit and functional tests.
• Lead Remote Teams: Excel at working with remote teams and individuals while relentlessly ensuring product quality, agility, and velocity.
• Mentor and Empower: Act as a player-coach to mentor, groom, and educate junior engineers.

What you’ll bring to the role

• 7+ years of experience building Java-based web applications.
• Deep understanding of design patterns, scalability patterns, security engineering, and object-oriented principles.
• Experience thriving in fast-paced software development teams that leverage continuous integration and deployment practices.
• Strong communication skills and the ability to work across functions.
• A powerful security background and a proven track record of championing best practices.

And extra credit if you have experience in any of the following!

• Experience building anomaly detection systems or risk systems is a monumental advantage.
• Expertise in cloud security, identity, and/or authentication protocols.
• Hands-on experience with one or more cutting-edge UI technologies such as Angular, ReactJS, Backbone, and Vue.

(P23225_3240232)

#LI-Hybrid 

#BB-1

The Staff Full Stack Engineer Opportunity

The Access Management group drives billions of authentications every month. The group builds and supports single sign-on, strong authentication, provisioning, and threat protection technologies. Our Access Management service runs in the cloud on a secure, reliable, extensively audited platform with 99.99% availability.

We are looking for an experienced and highly technical full stack software engineer to join the Federated Authentication Platform team. Operating under the larger Access Management group, this team is responsible for building out the authentication pipeline for the Okta Identity Engine leveraging security standards, this platform provides the core orchestration building blocks to create a world class authentication experience.  We are looking for smart, innovative and passionate engineers to join the team.

What you’ll be doing 

• Design, implement, review and troubleshoot highly scalable backend services and APIs.
• Develop and maintain engaging and responsive user interfaces using modern web frameworks.
• Analyze/Refine Requirements with Product Management, bridging the gap between user needs and technical implementation.
• Work with engineering management to scope and plan engineering efforts across the full stack.
• Collaborate with QA, Product Management, Technical Support, Documentation and UX team

What you’ll bring to the role

• 8+ years of experience building and deploying scalable, reliable, mission-critical software, spanning both frontend and backend development.
• Proficiency with at least one Object-Oriented Backend Language (e.g., Java, C#, Python, Go) and modern JavaScript/TypeScript.
• Experience with a modern frontend framework (e.g., React, Angular, Vue.js).
• Strong understanding of RESTful API design and interaction.
• Experience working with a system of scale

And extra credit if you have experience in any of the following! 

• Experience with server-side technologies including caching, asynchronous processing, and multi-threading.
• Experience in TDD or BDD methodologies.
• Knowledge of Identity and Access Management protocols and technologies: OAuth, OpenID Connect, SAML, Federation, SSO, etc.
• Experience with cloud platforms (e.g., AWS, Azure, GCP).

(P5928_3355117)

#LI-Hybrid 

#BB-1