Location: New York, United States
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
A leading American financial services corporation and operator of a premier global stock market. Serving as the primary listing venue for major technology and growth-oriented companies, the organization also acts as a top-tier financial technology provider, delivering data analytics, market surveillance, and index licensing to institutional clients worldwide. To drive digital modernization, the platform integrates advanced cloud infrastructure and Generative AI to streamline cross-border listings, trading workflows, and global regulatory compliance.
What You’ll Do
Serve as a senior business analyst for Calypso back-office and post-trade initiatives
Lead requirements gathering and analysis for Calypso accounting and accounting-reporting capabilities
Work with finance, operations, product-control, and technology stakeholders to understand business needs and define appropriate solutions
Analyze accounting requirements, accounting events, posting rules, general ledger mappings, and financial-reporting processes
Document business requirements, functional specifications, process flows, user stories, and acceptance criteria
Assess existing Calypso configurations and workflows and identify gaps or opportunities for improvement
Support Calypso functionality across Collateral Management, Fixed Income, Money Markets, Treasury, and FX Derivatives
Analyze trade lifecycle events and their downstream accounting and reporting impacts
Collaborate with developers and Calypso configuration specialists throughout solution design and implementation
Define test scenarios and support system, integration, regression, and user-acceptance testing
Investigate production issues, perform root-cause analysis, and coordinate solutions with business and technical teams
Support data validation, reconciliations, accounting controls, and reporting accuracy
Contribute to implementation, upgrade, migration, and process-improvement initiatives
Communicate project status, dependencies, risks, and issues clearly to client stakeholders
What You Bring
Senior-level of relevant business analysis experience in capital markets, financial services, or a related environment
Senior-level experience working with Calypso back-office and post-trade functionality
Deep expertise in Calypso accounting and accounting reporting
Strong knowledge of financial accounting concepts and processes
Experience with accounting events, posting rules, general ledger integration, reconciliation, and financial reporting
Calypso experience across: Collateral Management, Fixed Income, Money Markets, Treasury, FX Derivatives
Strong understanding of trade lifecycles and post-trade processing
Experience gathering requirements and producing clear functional documentation
Experience working with business, finance, operations, development, testing, and production-support teams
Strong analytical, problem-solving, and stakeholder-management skills
Ability to work effectively in a hybrid client-facing environment
Availability to attend the New York client site approximately 60% of the time
English level
Advanced
Employment Type:
Full-time
Delivery Model:
Hybrid (60% onsite)
Location:
New York, USA
Legal & Hiring Information
Compensation Transparency: The expected compensation range for this role is $75–90/hr USD, with eligibility for commission, bonus, or other incentive compensation where applicable. Actual compensation will be determined based on experience, skills, qualifications, geographic location within the United States, and business needs.
Location Eligibility: This role is open to candidates residing in the United States.
Experience Requirements: We welcome applicants with relevant experience regardless of where it was obtained. US work experience is not required.
Use of Artificial Intelligence in Hiring: We may use automated tools or artificial intelligence systems to support the screening, assessment, or selection of applicants as part of our hiring process.
Benefits Summary: US-based employees are eligible to participate in Exadel’s benefits programs, which may include comprehensive health, dental, and vision coverage; life and disability insurance; retirement savings programs; paid time off; paid holidays; and other wellness or voluntary benefit programs, subject to plan terms and eligibility requirements.
Equal Employment Opportunity: Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more. We do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, status as a protected veteran, or any other protected characteristic under applicable federal, state, and local laws.
Accessibility and Accommodation: We are committed to providing accommodations throughout the recruitment process in accordance with the Americans with Disabilities Act (ADA) and other applicable federal, state, and local accessibility laws. Reasonable accommodations are available to enable individuals with disabilities to perform essential functions. If you require accommodation at any stage of the hiring process, please contact us.
Data Privacy Notice: For applicants residing in California, please note that personal data collected during the application process is subject to the California Consumer Privacy Act (CCPA) and will be processed in accordance with our applicant privacy notice.
Disclaimer: Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs. The offer is not binding until a signed contract is in place.
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Location: New York, United States
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
A leading American financial services corporation and operator of a premier global stock market. Serving as the primary listing venue for major technology and growth-oriented companies, the organization also acts as a top-tier financial technology provider, delivering data analytics, market surveillance, and index licensing to institutional clients worldwide. To drive digital modernization, the platform integrates advanced cloud infrastructure and Generative AI to streamline cross-border listings, trading workflows, and global regulatory compliance.
What You’ll Do
Design, develop, and maintain automated test scripts and scenarios using Calypso CATT
Build reusable test components and regression suites for Calypso implementations, enhancements, and upgrades
Execute functional, integration, regression, and end-to-end testing across Calypso workflows
Review business and technical requirements and translate them into comprehensive test cases
Validate trade capture, lifecycle events, confirmations, settlements, accounting, reporting, and other relevant workflows
Prepare and manage test data, environments, and execution schedules
Analyze test results, identify defects, and support root-cause investigation
Document defects clearly and work with development and functional teams through resolution and retesting
Improve test coverage, automation efficiency, and the reliability of regression testing
Support release-readiness activities and provide clear reporting on test execution, defects, risks, and outcomes
Collaborate directly with client stakeholders in an on-site and hybrid delivery environment
Contribute to testing standards, documentation, and continuous process improvement
What You Bring
Proven hands-on experience with Calypso CATT
Strong experience testing Calypso applications within a capital markets or financial-services environment
Experience creating, maintaining, and executing automated regression test suites
Good understanding of trade-processing workflows and the trade lifecycle
Experience with functional, integration, regression, and end-to-end testing
Ability to analyze requirements and translate them into effective test scenarios
Experience investigating test failures and coordinating defect resolution
Working knowledge of SQL and relational databases
Familiarity with Linux or Unix environments and system log analysis
Experience with defect-management and test-management tools such as Jira, ALM, or similar platforms
Strong documentation, analytical, troubleshooting, and communication skills
Ability to work effectively with technical teams, business stakeholders, and client leadership
Availability to work full-time and attend the New York client site approximately 65% of the time
English level
Advanced
Employment Type:
Full-time
Delivery Model:
On-site/hybrid (60%)
Location:
New York, USA
Legal & Hiring Information
Compensation Transparency: The expected compensation range for this role is $75–90/hr USD, with eligibility for commission, bonus, or other incentive compensation where applicable. Actual compensation will be determined based on experience, skills, qualifications, geographic location within the United States, and business needs.
Location Eligibility: This role is open to candidates residing in the United States.
Experience Requirements: We welcome applicants with relevant experience regardless of where it was obtained. US work experience is not required.
Use of Artificial Intelligence in Hiring: We may use automated tools or artificial intelligence systems to support the screening, assessment, or selection of applicants as part of our hiring process.
Benefits Summary: US-based employees are eligible to participate in Exadel’s benefits programs, which may include comprehensive health, dental, and vision coverage; life and disability insurance; retirement savings programs; paid time off; paid holidays; and other wellness or voluntary benefit programs, subject to plan terms and eligibility requirements.
Equal Employment Opportunity: Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more. We do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, status as a protected veteran, or any other protected characteristic under applicable federal, state, and local laws.
Accessibility and Accommodation: We are committed to providing accommodations throughout the recruitment process in accordance with the Americans with Disabilities Act (ADA) and other applicable federal, state, and local accessibility laws. Reasonable accommodations are available to enable individuals with disabilities to perform essential functions. If you require accommodation at any stage of the hiring process, please contact us.
Data Privacy Notice: For applicants residing in California, please note that personal data collected during the application process is subject to the California Consumer Privacy Act (CCPA) and will be processed in accordance with our applicant privacy notice.
Disclaimer: Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs. The offer is not binding until a signed contract is in place.
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Location: Paris; Amsterdam; Linz; Munich; London; Berlin
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE ROLE
Mistral is looking for AI Scientists with deep expertise in engineering sciences and machine learning to push the frontier of AI-accelerated simulation. Within AI4Engineering Science, you will research and train foundational physics models which are substantially more capable than what exists today and can be fine-tuned for downstream applications by both customers and internal teams.
You will work across the full research stack: curating high-fidelity simulation datasets, designing and training novel model architectures, and rigorously evaluating them against real engineering validation standards.
Working closely with the broader research organization, you'll ensure the foundation models you build are general enough to become the backbone of many downstream products, not just a single point solution.
This role builds on a strong, world-class foundation, and the goal is to take it further. You'll work one vertical at a time toward foundation models that genuinely transfer and fine-tune across engineering tasks, with high-quality simulation data pipelines, physics-based evaluation, and uncertainty / out-of-distribution estimation as first-class concerns. There's no inherited playbook for most of what's left to do: you'll help define the architectures, training strategies, and validation standards the team builds on, not just extend an existing one.
WHAT YOU WILL DO
- Research and train novel foundation models for physics simulation, pushing past today's state of the art in accuracy, generalization, and scale
- Design and run large-scale simulation campaigns using domain-specific solvers to build the high-fidelity datasets foundational physics models need
- Investigate architectures and training strategies (e.g. multi-fidelity training, pretraining objectives, scaling behavior) that let a single foundation model transfer and fine-tune well across diverse engineering tasks
- Rigorously evaluate model coverage, accuracy, and robustness against industry validation standards, and diagnose failure modes arising from data gaps or architecture limitations
- Stay on top of the latest developments in the scientific community and contribute to Mistral's standing at the frontier of AI-for-engineering research
WHAT WE'RE LOOKING FOR
- PhD or Master's in CS/AI or an engineering science: Mechanical Engineering, Electrical Engineering, Computational Fluid Dynamics, Structural Mechanics, EDA, Semiconductor Engineering, or a related field
- Strong, hands-on machine learning expertise with a deep understanding of model architectures, training dynamics, and evaluation methodology is core to this role
- You have developed ML methods for simulation or surrogate modelling
- You write clean, readable Python code and are comfortable in Linux/HPC environments
- Fluent English with excellent communication skills, able to explain technical simulation and ML concepts to both engineering and non-technical audiences
- Self-directed, you don't need detailed roadmaps to make progress
- Low-ego, collaborative, and eager to learn at the intersection of simulation and ML
- Demonstrated success through industrial projects, academic work, or personal projects
IT WOULD BE GREAT IF YOU
- Have industrial or academic experience with simulation solvers (e.g. OpenFOAM, LS-DYNA, ANSYS, COMSOL, Abaqus, Fluent, STAR-CCM+, PowerFlow, NekRS, Tau/CODA, JAX-Fluids, or equivalent; Cadence/Synopsys/Siemens EDA or equivalent)
- Have experience automating large-scale simulation campaigns on HPC clusters
- Have contributed to a large open-source or industry codebase
- Have publications in engineering or ML venues (AIAA, ASME, JFM, NeurIPS, ICLR, etc.)
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Paris; Amsterdam; Linz; Munich; London; Berlin
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
The Role
Mistral is looking for AI Scientists with deep ML expertise and hands-on engineering experience to expand what our agentic tools can do across the engineering lifecycle — CAE (CFD, FEA, etc.) and EDA/Semi.
Working within the AI4Engineering Science team, your core work is building the pre and post-training data for Mistral's LLMs to reason about and execute real engineering tasks. Because Mistral trains its own frontier LLMs, the data and verifiers you design ship directly into models you can hold, a rare position, and the core of the job.
Alongside this, you'll help shape the agent architectures and harness that let these models operate reliably inside multi-step engineering workflows, not just answer isolated questions.
You'll work closely with domain experts across CAE and EDA or other domains to ground this work in how engineers actually work, and with the broader research team to translate that domain grounding into training signal and evaluation benchmarks that measure genuine task competence.
This is early-stage work, and that's the point: you'd be joining at the foundation, shaping the data, verifiers, and agent scaffolding that decide whether these systems become reliable or stay demo-grade. There's no inherited playbook, you'll help define what good looks like, and your work will set the direction the team builds on rather than extend an existing one.
What you will do
- Design pretraining, SFT, and RL data for engineering tasks across CAD, CAE, and semiconductor/EDA
- Define verifiers and evaluation criteria that capture what "correct" and "high-quality" actually mean for each engineering task, beyond surface-level plausibility
- Design and improve agent architectures and harnesses: how models plan, call tools, recover from errors, and chain steps together across long-horizon engineering workflows
- Build evaluation benchmarks and diagnostic tooling to identify where models fail on engineering tasks, and trace those failures back to gaps in data, reward design, or agent scaffolding
- Collaborate with domain experts across CAE and EDA or other domains (and the science and solutions teams more broadly) to identify which engineering workflows are highest-value to target next
- Contribute to Mistral's broader pre and post-training research, sharing findings and methodology across the science organization
What we're looking for
- Fluent English with excellent communication skills, able to explain technical ML and engineering concepts to both engineering and non-technical audiences
- Deep, hands-on machine learning expertise, particularly LLM development
- Demonstrated experience running, debugging, and validating real engineering workflows in at least one of CAD, CAE, semiconductor simulation, or EDA
- You write clean, readable Python code and are comfortable in Linux/HPC environments
- Self-directed, you don't need detailed roadmaps to make progress
- Low-ego, collaborative, and eager to learn at the intersection of engineering and ML
It would be great if you
- Have experience building or fine-tuning agentic systems (tool use, multi-step planning, agent orchestration frameworks)
- Have experience with reward modeling, RLHF/RLAIF/RLVR, or preference-based training
- Have industrial or academic experience with CAE or EDA tools (e.g. SolidWorks, CATIA, Fluent, Abaqus, LS-DYNA, STAR-CCM+, Cadence/Synopsys/Siemens EDA tools)
- Have contributed to a large open-source or industry codebase
- Have publications in engineering and ML venues (NeurIPS, ICLR, JFM, AIAA, etc.)
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Remote: United States
Workplace: Remote
At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.
Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users.
Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.
We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.
APPLYING TO RENDER
We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.
We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.
Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.
ABOUT THE ROLE
We are hiring the first members of Render's Scaled Programs Customer Engineering team to help run the technical side of our scaled, digital-first customer motion. You'll support high-growth accounts without dedicated technical coverage, including our startup program cohort, through programmatic, one-to-many engagement rather than a traditional one-to-one model. The role has two halves: running scaled programs (in-app engagement, targeted outreach against expansion and churn signals, webinars) and contributing to the tools and content that power the broader Field Engineering organization (health triggers, growth and expansion opportunities based on product usage, pricing and sizing tools, POC templates, and enablement content). You'll partner closely with our Scaled Account Managers and report into Render's Field Engineering organization.
WHAT YOU'LL DO
- Partner with Scaled AMs and Field Engineering teammates to turn expansion and churn signals (bandwidth, egress, usage patterns) into plays: AM talking points, programmatic outreach, and in-app prompts.
- Operate startup program onboarding: Intercom checklists, guided flows, and activation follow-up for high-growth AI startups.
- Partner with Support Engineering to identify recurring mistakes and best practices, then turn those insights into programs and content that reduce customer friction.
- Build and improve components of our scaled-engagement toolkit: in-app programs, outbound triggers, pricing and sizing calculators (e.g., Heroku and AWS RDS migrations to Postgres), POC templates, and reusable technical enablement.
- Run scaled customer programs: webinars, Slack community touchpoints, and pattern-based outreach across account cohorts, partnered with Scaled AMs.
- Translate recurring customer questions and technical best practices into timely in-product guidance and self-service content.
- Maintain activity tracking and feature-request data hygiene so reliable customer signals flow to the rest of Field Engineering and Product.
WHAT WE'RE LOOKING FOR
- 3+ years in a customer-facing technical role: customer engineering, solutions engineering, technical support, or developer relations.
- Comfort operating a high-volume, one-to-many motion; you can independently execute clearly scoped programs and build systems and content rather than relying on 1:1 time.
- Strong fundamentals across cloud infrastructure: containers, deploys, autoscaling, networking, and CI/CD.
- Working knowledge of Postgres and common database migration patterns (Heroku, AWS RDS).
- AI fluency: you use AI tools daily in your own workflow, and you're comfortable advising customers building AI-native and LLM-powered applications.
- Strong written communication; you'll be a primary producer of docs, playbooks, and in-app content.
- Data-driven, able to prioritize work against team goals, and comfortable asking for context or support when ambiguity could affect the outcome.
NICE-TO-HAVES
- Experience with Intercom or a similar in-app engagement and messaging platform.
- Experience building internal or customer-facing tools that scale a team's impact beyond 1:1 work.
- Experience in a PLG or high-volume account environment.
- Prior experience with Heroku or other cloud migrations.
If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.
BENEFITS
- 4 weeks of paid vacation.
- 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.
- Long-term disability, life insurance, and 401K plans.
- 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.
- Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
- Monthly cell phone and internet subsidy.
- Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.
- Continuous learning benefits & related support.
This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization.
Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
We encourage all who are interested to apply. We can't wait to hear from you!
Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view
Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view
Location: Dublin, Ireland; London, England
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
At Fin, we believe every business needs an AI Agent for their customers and an AI Agent for their team. For customer experience teams, AI Agents are moving far beyond customer communication, to doing the vast majority of complex customer operations work and moving beyond taking direction from the human team, to giving direction, coordinating and undertaking work under human supervision.
We built and launched Operator this year - an internal Agent for customer operations. Operator deeply understands everything happening in a business's customer experience, finds the insights and areas for improvement, delivers recommendations, and makes the changes itself with permission. It’s a new category of Agent and is a hit with our customers.
This highly strategic role owns the end to end PMM work for Operator, working across product, marketing, GTM and leadership. You'll build the narrative, the positioning, and the go-to-market that makes Operator the next wildly successful product from Fin.
What will I be doing?
Build the external narrative for Operator and bring it to market in a way that creates and shapes the category for the industry
Shape and refine the ICP and audience for the Operator- who we're talking to, what their pains are, and what makes them choose us
Own core messaging and drive cross-functional alignment on what we're saying, why, and how it shows up everywhere - from the website to the sales deck to the customer email
Be deeply customer-obsessed - spend time with customers, study how they evaluate and adopt, and turn signal into clear insight that shapes what we say
Lead launches and go-to-market moments, working cross-functionally to deliver crisp messaging that fits sales, campaigns, and content needs, delivering mindshare for Fin and pipeline for
Build crisp, high-impact narratives and enablement that sales actually uses - including the discovery questions, objection handling, and competitive positioning and work closely with GTM teams to ensure messaging lands with the customers who need to hear it most
Create high-quality core PMM assets yourself: web pages, first call decks, narratives, scripts, demos, and launch materials - and maintain the core 'brain' of PMM context that feeds our AI-first approach
What we're looking for
This role is for someone who is a hybrid: part strategist, part storyteller, part technologist. You move between customer insight, product detail, competitive analysis, and creative expression without friction. Above all, you can take something the market has no name for and make it obvious.
You've done this before
5+ years in product marketing, ideally in B2B, with a track record of shaping how complex products are understood in market
You've marketed something genuinely new - a product or capability with no clear comparison set - and built the narrative that gave buyers a way to think about it
You've owned a product area end-to-end - from ICP and positioning through to launches and field enablement
You're comfortable with technical depth: automation, workflows, analytics, agent behaviour, and the mechanics of how a product actually does the work
Experience with usage-based or consumption pricing, or with selling operational change rather than a feature set, is a strong plus
You've worked in fast-moving environments where the product ships faster than the messaging can keep up - and found a way to move at that pace without losing quality
You think and write with precision
Excellent written communication - you write crisp briefs, sharp narratives, and synthesis memos that drive alignment
Strong editorial judgment - you know the difference between a sharp positioning statement and marketing language that means nothing
You push back on vague claims and force specificity - in your own work and in others'
You're product-obsessed and technically engaged
You read the docs, use the product, and dig into the tech before you craft a single message
You're genuinely curious about AI - not just as a talking point, but as something you think about, experiment with, and engage with constantly
You use AI tools fluently in your own work and are always looking for new ways to move faster and think sharper
You operate at the intersection of strategy and execution
You don't hand off strategy and wait - you take it all the way to the asset, the launch, the field
Strong judgment and the ability to work independently on large, high-stakes initiatives
A systems thinker who builds messaging architectures and frameworks others can use, not just one-off assets
You work well across functions, build trust quickly, and make the people around you more effective
Attributes we're looking for
Ambitious and competitive
- you set a high bar, think big, and want to win. You'll go the extra mile and you're motivated by building something that leads the market.
Confident and decisive
- you back yourself, optimise for progress over consensus, and value momentum. You ask for forgiveness, not permission.
Curious and intellectually engaged
- you're always learning, experimenting, and asking why. You keep up with AI's pace and use it to improve how you work.
Tasteful and creative
- you understand what connects emotionally with people and draw on design, culture, and craft to create ideas that resonate.
Impatient and change-oriented
- you hate slow and work to fix the root cause. You thrive in ambiguity and love building something new.
#LI-Hybrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: Remote - US
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as Twilio’s next Staff Security Engineer, Threat Hunting
About the job
The Threat Detection and Response team is looking for a Staff Security Engineer who is passionate about solving the business’s toughest technical-security challenges; you will work within a Security Engineering team that partners with R&D Engineering and R&D Business teams to develop scalable processes and technical solutions. You will be a valued member of a team of deeply technical Security Engineers to focus on creating bespoke and standard Security tooling, enhancing our capabilities for threat mitigation and incident response, and then automating as much as you possibly can (and more)! You will help us to grow our global, scaled team and program.
Responsibilities
In this role, you’ll:
Be an Owner
: Participate in daily operations tasks including, on-call rotation, architecting and developing well-engineered and performant detective tooling and automation, participating in applications/systems threat modeling, and participating in Incident Response activities
Write It Down
: Work with the team to align the Detection and Response vision and strategy, while engaging the team to develop and ship specific, multi-year roadmaps, programs, and projects, ensuring prioritization, resourcing, and timely delivery of work within a changing business environment
Wear the customer’s shoes:
Work cross-collaboratively to understand and help solve challenges related to a broad spectrum of threat actors and activity
Ruthlessly Prioritize
: Proactively identify areas that would most benefit the improvement of our business, inclusive of the Incident Response program and with consideration of company/organizational objectives
Don’t Settle
: Challenge the status quo; perform technology research, security research, and architecture reviews needed for a thorough understanding of the Twilio platform to understand what we are defending and how best to defend it
Draw the Owl
: Building systems and services to make the most complex security problems simple and frictionless
Empower Others:
Build, cultivate, and maintain positive relationships with internal customers to identify and facilitate solutions to increase the impact of the team’s work
Be Inclusive:
Provide mentorship, support, and care for the team in a way that enables long-term career development, happiness, and success at scale
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:
Proven experience: 3+ years of security engineering in a production-cloud environment
Subject-matter expert on security issues and technologies
Experience designing and building AI Agents and Agentic workflows
Ability to utilize AI for comprehensive, complex threat hunting activities delivering high fidelity detections
Experience detecting and responding to next generation, Artificial Intelligence threats following MITRE ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems) or similar framework
Advanced knowledge of service-oriented architectures, as well as experience with security tools and technologies fit for a cloud environment
Experience working across a technology stack on difficult security challenges and initiatives
Experience with SIEM platforms and the ability to extend their functionality
Experience with SOAR tools and automating manual security processes
Experience with infrastructure as code, such as Terraform or Cloudformation
Experience in either AWS, GCP, or other large cloud platform
Desired:
Excellent written and verbal communication skills
Ability to influence and build effective working relationships with every level of the organization.
BS in Computer Science, Engineering, or a related technical discipline or equivalent experience
Location
This role will be remote,
but is not eligible to be hired in CA, CT, NJ, NY, PA, WA.
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.
Compensation
*Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above.
The estimated pay ranges for this role are as follows:
Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $155,520.00 - $194,400.00.
Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $164,640.00 - $205,800.00.
Based in the San Francisco Bay area, California: $182,960.00 - $228,700.00.
This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
Applications for this role are intended to be accepted until Oct 9th, but may change based on business needs.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: USA - Remote
Workplace: Remote
💫 This job description was written by a person
ABOUT US
Since 2013, we’ve been building a CRM that gets out of your way and helps your team sell more, faster. Now we’re building AI into every part of it, so Close does the busywork and your team does the selling. No manual data entry, no 10-click workflows. Just communication-first, AI-powered sales software designed to help you succeed and scale.
We're bootstrapped and profitable which means we answer to our customers and play by our rules. We're proud of our 130-person, 100% remote team, focused on building Close so that no small, scaling business fails because it can't figure out sales.
ABOUT THE ROLE
Our GTM org has a lot of questions. Most of the questions we care about can’t be answered by spinning up a cute dashboard. Is branded search creating new customers or capturing demand that already existed? Did the homepage redesign improve conversion, or did our traffic mix change? If we’ve got some wild ideas for our next bet, where should the money go?
These kinds of big-picture questions require someone who can interrogate the metric, trace it through the warehouse, understand the business context, and turn it into action. This person will be our first Staff GTM Analyst. You’ll work alongside GTM leadership to make consequential decisions while still staying hands-on in the nitty gritty of all the data.
The best part: the way we answer these questions is changing. Effective SQL is just a few tokens away, dashboards can be Claude-ed in minutes, and teammates increasingly expect to find their own answers. You’ll build the semantic layers, context, and guardrails that make self-service possible, even trustworthy, then determine where an analyst’s expertise is indispensable.
YOU ARE
- An experienced analyst. You have roughly 8 years of hands-on, highly technical analytics experience. Most importantly: you’re backed by the pattern recognition that comes with having seen all sorts of hairy problems. You’re at the point in your career where you can take an ambiguous business question, dive head-first into the data, turn your findings into a decision, and bring everyone else along with you.
- A bridge between the technical and the business. You can build a model in dbt, work directly in Snowflake, and translate it into something actionable. You’ll partner closely with our Lead Analytics Engineer but you need to be willing and able to dive in and self-serve.
- Fluent in the quirks of GTM data. Attribution, channel definitions, UTMs, bots and broken tracking are known quantities. You don’t need to have been a dedicated GTM Analyst, but you should certainly know your way around this part of the business.
- Pushing the boundary of what AI means for analytics. AI is writing your first-draft SQL, analysis, and reporting and you’ve shifted that energy to bringing analysis into the future: building the semantic layers, context, and guardrails that let the team self-serve trustworthy answers.
- A trusted cross-functional leader. Teammates across functions and levels listen to you. You immerse yourself in the context of their needs and bridge gaps in understanding.
- Fiercely independent and accountable. You welcome a vague ask with aplomb. You’ll scope the problem, find the dependencies, bring in the right people, and drive the work through the analysis, recommendation…all the way to a fix.
- More concerned with impact than output. A polished dashboard is useful only when it changes what we do. You prioritize the questions that can materially improve acquisition, conversion, retention, and revenue.
YOU WILL
- Make our GTM data trustworthy. You’ll define metrics, model the funnel from first touch through paid conversion, and reconcile discrepancies across Snowflake, Segment, Amplitude, GA4, and our ad platforms.
- Explain what we’re seeing. Why are trials up while paid conversion isn’t? Why are Snowflake and Amplitude disagreeing? Which channel is driving volume but producing low-quality customers? You’ll dig into the data until we understand what changed and why.
- Help decide what to do next. Are we on track to hit our goals? What would another investment in paid media produce? You’ll forecast, model the tradeoffs, and empower leadership to make the best possible decision.
- Own the outcome. Whether you uncover something small like broken campaign tracking or you’re focused on moving a major business metric, you’ll bring in the right people and shepherd the team to the data-driven outcome.
- Define the next era of Data at Close. You’ll help us move from a queue of reactive requests to a system where an agent spots changes, assembles the context, and gets the right insight to the right person at the right time.
BENEFITS
- Compensation: Competitive pay plus an organization-wide goal-based bonus
- Paid Time Off: ~5 weeks of PTO to start. Plus a 1-week all-company Winter Holiday Break and paid US holidays. You'll earn 2 extra days for every year you're with Close.
- 80% Work Option: Work with your manager to choose between a standard 5-day week or a 4-day week at 80% pay
- Parental Leave: Paid leave for primary and secondary caregivers
- Sabbatical: A 1-month paid sabbatical every 5 years with the team
- Healthcare (US residents): Two medical plans with Close covering the majority of your premium, plus Dental, Vision, HSA, FSA, and company-paid Long-Term Disability
- 401k (US residents): We match your contributions up to 6%, vested immediately
OUR VALUES
Build a house you want to live in - Examine long-term thinking and action
No BS - Practice transparency and honesty, especially when it’s hard
Invest in each other - Build successful relationships with your coworkers and customers
Discipline equals freedom - Keep your word to yourself and others
Strive for greatness - Constantly challenge yourself and others
LEARN MORE
Listen to our CEO and Founder, Steli Efti, tell the story of Close’s journey in the $0-30m Blueprint https://www.close.com/blueprint.
Watch our culture video https://www.youtube.com/watch?v=maXKi1GN2MI from our 2023 team retreat in Milan. Every year our entire team gathers in person to build connection, foster cross-functional collaboration, and have fun. In 2027, we're headed to Dusseldorf, Germany!
Explore our product. Check out a demo https://www.close.com/demo-site!
OUR HIRING PROCESS
We ask a few role-specific questions as part of our application process. These questions are designed to help us learn more about you from the start, so please answer each one thoughtfully. We see this as an opportunity to get to know you beyond your resume.
We use AI tools daily at Close and expect candidates to do the same. In evaluating your application, we aim to get a sense for you - the way you think, how you communicate, the work you've done. Applications that read as fully AI-generated will not be considered.
Regardless of fit, you can expect to hear back from our team with an update on the status of your candidacy.
If you progress to the interview process, you'll receive a full outline of the role-specific steps in your first touchpoint with us. We do our best to make the hiring process clear and human.
Location: Dublin, Ireland; London, England
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
At Fin, we believe AI agents and human support teams will work symbiotically as one team in one system, increasingly directed by AI, with humans elevated to higher-level roles and engaging directly with customers only in complex, high-stakes moments. So we built Fin to be natively integrated with the Intercom helpdesk, and are completely rethinking what a Helpdesk product should be when Agents do 90%+ resolution. We’re also building exciting new products and capabilities around how human teams collaborate with, are assisted by, and supervised by the AI agent so that they can deliver great customer experiences.
This PMM role will lead PMM for our Intercom helpdesk, loved by over 30k customers, and lead on how to market new capabilities that help human support teams deliver great experiences, with help and guidance from AI Agents. You'll shape how we talk to the 25,000+ businesses already using Intercom, build the narrative for an AI-first helpdesk era, and establish Intercom as the obvious choice for teams who want their AI agent and their human support layer working as one
You'll work directly with product, engineering, sales leadership, and the wider marketing team. This is a builder role for someone who wants to work fast, think from first principles, and help shape the future of PMM at Fin.
What will I be doing?
Shape the ICP and audience for the Intercom helpdesk and additional products for teams - who we're talking to, what their pains are, and what makes them choose us
Own core messaging and drive cross-functional alignment on what we're saying, why, and how it shows up everywhere - from the website to the sales deck to the customer email
Define and build the external narrative for the AI-first Helpdesk - what it means, why it matters, and why Fin is uniquely positioned to deliver it - and bring it to market in a way that reshapes how buyers think about the category
Partner with Product, GTM and Lifecycle on how we communicate product investment and progress to existing customers - turning roadmap momentum into customer confidence that retains and expands accounts
Build crisp, high-impact enablement that sales and customer success teams actually use to sell with confidence. Work closely with GTM teams to ensure messaging lands with the customers who need to hear it most
Be deeply customer-obsessed - sit with customer support teams, study how they evaluate and adopt, and turn signal into clear insight that shapes what we say
Lead launches and go-to-market moments for new products and capapbilties releases, working across the company to deliver impactful launch moments that drive mindshare and pipeline
Create high-quality core PMM assets yourself: web pages, first call decks, narratives and scripts launch materials. And maintain the core ‘brain’ of PMM context that feeds our AI-first approach
What we're looking for
This role is for someone who is a hybrid: part strategist, part storyteller, part technologist. You move between customer insight, product detail, competitive analysis, and creative expression without friction.
You've done this before
5+ years in product marketing, ideally in B2B with a track record of shaping how complex products are understood in market
You've owned a core product area end-to-end - from ICP and positioning through to launches and field enablement
You've worked in fast-moving environments where the product ships faster than the messaging can keep up - and found a way to move at that pace without losing quality
Experience with customer retention or expansion motions is a strong plus
You think and write with precision
Excellent written communication - you write crisp briefs, sharp narratives, and synthesis memos that drive alignment
Strong editorial judgment - you know the difference between a sharp positioning statement and marketing language that means nothing
You push back on vague claims and force specificity - in your own work and in others'
You're product-obsessed and technically engaged
You read the docs, use the product, and dig into the tech before you craft a single message
You're genuinely curious about AI - not just as a talking point, but as something you think about, experiment with, and engage with constantly
You use AI tools fluently in your own work and are always looking for new ways to move faster and think sharper
You operate at the intersection of strategy and execution
You don't hand off strategy and wait - you take it all the way to the asset, the launch, the field
Strong judgment and the ability to work independently on large, high-stakes initiatives
A systems thinker who builds messaging architectures and frameworks others can use, not just one-off assets
You work well across functions, build trust quickly, and make the people around you more effective
Attributes we're looking for
Ambitious and competitive
- you set a high bar, think big, and want to win. You'll go the extra mile and you're motivated by building something that leads the market.
Confident and decisive
- you back yourself, optimise for progress over consensus, and value momentum. You ask for forgiveness, not permission.
Curious and intellectually engaged
- you're always learning, experimenting, and asking why. You keep up with AI's pace and use it to improve how you work.
Tasteful and creative
- you understand what connects emotionally with people and draw on design, culture, and craft to create ideas that resonate.
Impatient and change-oriented
- you hate slow and work to fix the root cause. You thrive in ambiguity and love building something new.
Benefits
We are a well-treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us!
Competitive salary and equity in a fast-growing start-up
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work!
Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated.
Pension scheme & match up to 4%
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Flexible paid time off policy
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
MacBooks are our standard, but we also offer Windows for certain roles when needed
#LI-Hybrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: Milan, Italy; Biassono, Italy
Workplace: Hybrid
Artificial Intelligence. Actual Impact.
At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses.
We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive.
So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops.
As a Staff Product Engineer at Docebo, you won't just ship features—you will define product direction and solve high-impact, ambiguous technical challenges across our entire ecosystem. Operating at the dynamic intersection of product strategy, full-stack architecture, and AI-accelerated execution, you will design scalable, long-lived systems that power the future of work-based learning. In this pivotal role, you will elevate both our modern tech ecosystem and the engineers around you, turning complex technical possibilities into seamless experiences for millions of learners worldwide.
Our Tech-Stack
We build modern, scalable, and resilient products. Our ecosystem is diverse, and we believe in leveraging the best tools for the job. Here is a snapshot of our technology stack:
- Core Backend: We power our services using PHP, Node.js (TypeScript), and Golang. We are also embracing Serverless architecture, leveraging it specifically for our newest modules and features to ensure maximum scalability and speed of innovation.
- Frontend Ecosystem: Angular is our main framework for web applications, though some of our cross-functional teams build components using React.
- Mobile Development: We deliver high-quality cross-platform mobile experiences powered entirely by React Native.
- Cloud & DevOps: Our entire infrastructure is fully cloud-native and hosted on AWS.
THE DAY-TO-DAY 🛠️
- Architect the Future: Define long-term architectural standards and design resilient systems, leveraging stack.
- Lead High-Impact Initiatives: Spearhead complex, end-to-end, cross-functional product initiatives from problem framing straight through to measurable business outcomes.
- Shape Product Strategy: Partner closely with Product and Design leaders to influence roadmaps, test assumptions, and ensure technical leverage is built into strategic decisions.
- Create AI-Powered Leverage: Institutionalize AI-assisted development practices, standards, and guardrails to help our teams safely ship faster with dramatically higher output.
- Elevate Engineering Excellence: Raise the bar across CI/CD, observability, testing, and operational reliability while eliminating systemic bottlenecks across teams.
- Connect with Customers & Impact: Engage directly with internal stakeholders and customers to deeply understand pain points, using product analytics tools to design experiments and measure results.
- Mentor and Multiply: Coach engineers across disciplines on architecture, product thinking, and AI tools, driving alignment and leading through technical credibility.
YOUR SUPERPOWERS ⚡
- Experience: 10+ years of full-stack software development experience with a proven track record of designing, building, and shipping complex products end-to-end and solving complex production issues.
- Language & Tech Agility: Experience working with multi-language backends and frameworks and a readiness to tackle scalability, ADRs, and performance tasks in PHP services without requiring prior PHP proficiency.
- AI-Assisted Power: Mastery of AI-assisted development tools (Claude Code, Cursor, Codex, or similar) with a habit of leveraging them daily to supercharge software output.
- Analytics & Experimentation Drive: Advanced fluency with product analytics platforms (PostHog, Amplitude, Mixpanel) and comfortable driving experimentation through feature flags and A/B testing.
- DevOps & Cloud Proficiency: Advanced experience with CI/CD pipelines, cloud environments (AWS), containerization (Kubernetes), and modern observability practices.
- Ambiguity Navigation: Exceptional ability to break down complex, undefined problems into crisp, executable technical plans with clear tradeoffs.
- Leadership & Collaboration: Outstanding track record of mentoring engineering talent, communicating directly with customers and stakeholders, and influencing cross-functional teams without direct authority.
OUR HYBRID WORK PHILOSOPHY 🤝
Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.
OUR TOTAL REWARDS PHILOSOPHY 🎉
Our Total Rewards Philosophy centers around three core areas to reward and care for our People:
- Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success.
- Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being.
- Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.
OUR PROMISE TO YOU 😍
- Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package.
- Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it.
- Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off!
- Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025!
- Fuel for Your Day: Receive a meal voucher for every working day, so you can focus on doing your best work while enjoying a meal that keeps you energized.
- Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.
Location: Barcelona
Workplace: onsite
With multiple awards to our name, Larian Studios has proven that we’re dedicated to delivering high-quality role-playing games. As we move on to new projects, the studio that brought you Baldur’s Gate 3 & Divinity: Original Sin 2 is looking for an Engine Programming Intern to join the team and help us in crafting the high calibre games our fans have come to expect.
Responsibilities
Help to maintain and extend our proprietary engine’s tech stack (Memory management, networking, ECS, data structures, performance optimization, physics systems, animation systems …)
Work closely together with the other departments to implement the needed game components.
Write robust, performant, well tested and maintainable code.
Be an active participant in the design and production of the game; the technical side of the creative team!
Requirements
Good knowledge of C++.
Strong understanding of basic C++ concepts (types, OOP, memory management, etc.)
Portfolio of personal C++ project(s) (with source code), not older than 2 years
Projects must be personal work (university coursework will not be considered)
Applications without coding examples will not be considered
Open minded, willing to experiment and iterate over a specific feature.
Good communication skills in English.
You are a team player and willing to take responsibility.
Problem-solving skills.
Willingness to work full-time on-site at our Barcelona studio.
What We Offer
An international team of over 500 employees spread across 7 studios around the world, each of which have their own unique qualities, and maintain a small-studio feel
An open, collaborative environment where ideas are welcome and encouraged
A managerial team consisting of highly experienced game developers at the top of their fields
Sharing hobbies and passions with likeminded colleagues
Inclusive environment with many activities organized by the studios or the employees
Commitment to making the best game possible for the fans, including listening to community feedback
Location: Barcelona
Workplace: onsite
With multiple awards to our name, Larian Studios has proven that we’re dedicated to delivering high-quality role-playing games. As we move on to new projects, the studio that brought you Baldur’s Gate 3 & Divinity: Original Sin 2 is looking for a Graphics Programming Intern to join the team and help us in crafting the high calibre games our fans have come to expect.
Responsibilities
Help to maintain and extend our proprietary engine’s graphics stack (Global illumination, particle simulation, custom materials, post-process effects, culling, texture or visual streaming …).
Work closely together with the content production teams, (Tech) Art, level design, VFX … to implement visual effects of topnotch quality.
Write robust, performant, well tested and maintainable code.
Be an active participant in the design and production of the game; the technical side of the creative team!
Requirements
Good knowledge of C++
Knowledge of the DirectX 12 API and HLSL
Understand concepts like GPU driven rendering, culling, deferred rendering, lighting, and post processing
Open minded, willing to experiment and iterate over a specific feature
Good communication skills in English
You are a team player and willing to take responsibility
Problem-solving skills
Willingness to work full-time on-site at our Barcelona studio
Proven track record: share your portfolio with explicit work you have done.
What we offer
An international team of over 500 employees spread across 7 studios around the world, each of which have their own unique qualities, and maintain a small-studio feel
An open, collaborative environment where ideas are welcome and encouraged
A managerial team consisting of highly experienced game developers at the top of their fields
Sharing hobbies and passions with likeminded colleagues
Inclusive environment with many activities organized by the studios or the employees
Commitment to making the best game possible for the fans, including listening to community feedback
Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an exceptional
Software Engineer II
to join our organization. Garner’s Engineering team tackles incredibly hard technical problems for a mission that truly matters. Our systems analyze billions of medical records to rank healthcare providers across the country. We are an AWS + Kubernetes shop, and we are constantly introducing new technologies as our system load doubles every year. We expect our engineers to champion cutting-edge industry practices as we aggressively embrace AI in every facet of our operations and norms. We are seeking teammates who take pride in delivering their best work while fostering a strong team culture.
Where you will work:
This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Use AI to build, optimize, and maintain software systems
Collaborate across disciplines to understand our domain and iterate on projects
Protect our users’ privacy and security through best practices
The ideal candidate has:
2+ years of software engineering experience with a generalist software engineering mindset ready to learn new languages, frameworks, and techniques required for a fast paced startup environment
Familiarity with data security and HIPAA compliance and a desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback
A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback.
Technologies we use:
Claude Code, Kubernetes, AWS, Airflow, dlt, dbt, Python, TypeScript, React, Go
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.
Compensation Transparency:
The target salary range for this position is
$162,000 - $190,000
. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: Argentina
Workplace: Remote
Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality.
We’re looking for a Senior Software Engineer to help us build the next generation of Agentic Codebases.
ABOUT THE ROLE:
- Location: Remote-first (Argentina)
- Permanent, full-time employee (this is not a contractor position)
- Application Information:
- Application deadline: applications accepted on an ongoing basis until position is closed and filled
- This posting is for an existing vacancy
- Reporting to the Senior Engineering Manager, Developer Productivity
As a Senior Software Engineer, Developer Productivity, you'll:
- Design and build the Nest.js service scaffolding that lets product teams stand up new backend services in our next-generation monorepo
- Implement paved paths, generators, and the platform primitives that make a new service work on day one rather than after a week of wiring.
- Build the seams that let new services run independently of our existing monolith.
- Own the deployment story for services and web applications on Cloudflare, and the interoperability with our existing AWS and Kubernetes estate managed through Pulumi and Argo CD.
- Lead migrations of substantial codebases into the monorepo and turn each one into a repeatable recipe rather than a bespoke effort.
- Partner directly with product teams as platform customers, treating their adoption as the measure of success and their friction as your backlog.
- Raise the leverage of the whole team by encoding what you learn into tooling, generators and agent-assisted workflows, so the next migration costs less than the last.
- Participate in engineering citizenship activities such as co-authoring engineering blogs, strengthening our hiring processes, and leading internal hackathon teams.
ABOUT YOU
Requirements:
- BA/BS Degree or equivalent experience
- 5+ years building and operating backend services in production
- Demonstrated experience in backend service design defining service boundaries, contracts and data ownership, not only implementing within them
- Business-level fluency to read, write and speak in English
You'll thrive as a Senior Software Engineer, Developer Productivity, if you:
- Have worked inside a large, heavily-coupled codebase and found the seams: extracting or bypassing functionality incrementally, behind behaviour-preserving contracts
- Are fluent in TypeScript and Node, and comfortable with edge runtimes.
- Have hands-on experience with monorepo tooling at scale (Nx, Turborepo or similar) and understand why build-graph correctness is a product concern rather than a config detail.
- Treat migration work as engineering rather than chores: you budget for the parts that fail silently, verify generated output rather than trusting a green build, and know that bug-for-bug translation beats improvement when the goal is proving nothing changed.
- Enjoy being a platform engineer with real customers — partnering with product teams, adapting the platform to how they actually work rather than requiring them to change, and measuring yourself on their adoption.
- Are comfortable working across cloud boundaries, with a considered view on where a workload belongs and what crossing between clouds costs in latency and spend.
- Communicate decisions in writing well enough that someone can pick up your work from the ticket — and are willing to say plainly when the fast answer and the right answer diverge.
- Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact.
OUR CORE BEHAVIORS
- Build lasting customer trust. We build trust by taking action that puts customer trust first.
- Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act.
- Reinvent ourselves. We don't just improve what exists, we imagine what's possible.
- Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.
BENEFITS
- Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company.
- Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums.
- Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions.
- Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired.
- Wellness for the whole you. Access to mental health resources, therapy and coaching.
- Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally.
- Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts.
- Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.
Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.
BE YOU, WITH US
At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.
STAY CONNECTED
Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.
PLEASE NOTE:
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered.
To join Webflow, you'll need a valid right to work authorization depending on the country of employment.
If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes.
Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.
Location: Toronto, Ontario
Workplace: Hybrid
Artificial Intelligence. Actual Impact.
At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses.
We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive.
So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops.
THE ADVENTURE AHEAD 🚀
As a Senior Product Designer, Content Design & Language Systems, you’ll lead ambiguous product problems where workflow, interaction, information architecture, and language need to work together. You’ll help make Docebo’s complex enterprise experiences clearer, more consistent, and easier to use for admins, creators, managers, and learners.
This is not a traditional UX writing role or a localization-operations role. You’ll be a hands-on Product Designer who shapes product behaviour as well as product language. You’ll design complete workflows, build reusable terminology and content patterns, improve AI review and confidence experiences, and embed language guidance into our design system and delivery practices.
You’ll shape problems before solutions are fixed, choose appropriate discovery and validation methods, and connect customer evidence, product data, business context, technical constraints, accessibility, and localization risk to clear product decisions. You’ll partner closely with Product Management, Engineering, UX Research, Elemental / Design System, Accessibility, Technical Writing / Localization, AI teams, and other Product Designers—building a shared quality capability without becoming a bottleneck or approval queue.
THE DAY-TO-DAY 💻
- Frame Ambiguous Workflow and Language Problems: Turn incomplete or conflicting inputs into clear problem statements, hypotheses, decision questions, and an actionable path to learning.
- Lead Discovery and Define Outcomes: Select appropriate research and validation methods; combine customer evidence, product analytics, business context, technical constraints, and localization insight to establish measurable success signals and visible trade-offs.
- Design Complete Product Workflows: Lead interaction, information-architecture, and content decisions across roles, permissions, states, edge cases, accessibility, responsive behaviour, errors, confirmations, approvals, and recovery.
- Build Docebo’s Product Language System: Establish terminology, product voice and tone, reusable microcopy patterns, audience guidance, and language principles that improve clarity across product areas.
- Design Trustworthy AI Moments: Create patterns that help people understand what AI did, what informed it, what needs attention, and how to review, edit, regenerate, approve, reverse, or recover.
- Embed Guidance into Product Systems: Partner with Elemental / Design System to create component-level guidance, default strings, usage examples, do-and-don’t guidance, and reusable quality checks.
- Design for Localization Readiness: Own product-side standards for translation-ready writing, terminology reuse, variables and placeholders, language previews, and localization constraints while partnering with Technical Writing / Localization on operational workflows.
- Prototype and Audit with AI-Assisted Methods: Use appropriate-fidelity prototypes and AI-assisted workflows to explore product behaviour, evaluate alternatives, audit language, and assess usability and technical feasibility before significant implementation investment.
- Partner Through Shipped Quality: Work closely with Engineering on implementation strategy, design QA, product polish, and post-release iteration using customer feedback and product evidence.
- Create Reusable Leverage: Turn repeated workflow and language needs into patterns, assets, documentation, terminology, prompts, or practices that improve more than one feature.
- Mentor and Facilitate: Help designers and cross-functional partners build stronger product-language judgment through critique, decision reviews, workshops, concise documentation, and practical guidance.
YOUR SUPERPOWERS 🦸♀️
- Your portfolio shows ownership of complex, ambiguous workflows or significant product-area work with visible customer and product impact—not only writing samples
- You can explain how you triangulated qualitative research, quantitative evidence, business risk, localization considerations, and technical constraints
- You demonstrate strong interaction, visual, information-architecture, content-design, accessibility, and product-language judgment across difficult states and edge cases
- You have created or contributed to product-language systems, terminology frameworks, component guidance, content pattern libraries, or other reusable product standards
- You show how prototypes, experiments, audits, or validation changed product direction before or after release
- You can define meaningful outcomes, distinguish signal from activity, and explain what the team learned after launch
- You have influenced Product and Engineering decisions early, managed disagreement constructively, and stayed accountable through implementation quality
- You understand how product language must work across design systems and languages, including translation readiness, terminology reuse, variables, layout constraints, and inclusive communication
- You use AI-assisted tools thoughtfully for research, synthesis, language exploration, prototyping, quality review, or implementation critique while retaining human judgment and accountability
- You have helped other designers or cross-functional partners build stronger judgment through mentorship, critique, facilitation, and practical guidance
BONUS POINTS 🌟
- Experience designing language and interaction patterns for AI-assisted, agentic, recommendation, conversational, generated-output, or automation workflows
- Experience with localization tooling and practices such as Lokalise, terminology management, localization previews, translation-quality review, or localization-to-codebase workflows
- Contributions to design systems, accessibility maturity, product-language systems, research practices, or reusable interaction patterns
- Experience with enterprise learning, HR technology, content authoring, analytics, knowledge management, administration, or skills platforms
- Practical experiments with tools such as Codex or similar systems—for AI-assisted audits, product-language linting, prompt packs, prototypes, plugins, scripts, or app-level language guidance—that show you learn by making
OUR INTERVIEW PROCESS 🗺️
- Step 1: A 30-minute video call with a member of our Talent team. We’ll get to know you, share more about the role and team, and confirm that we’re aligned.
- Step 2: A 45–60-minute conversation with the hiring manager focused on your experience, approach, and what interests you about the opportunity.
- Step 3: A 60-minute portfolio deep dive and collaborative case discussion focused on complex workflow ownership, content and interaction decisions, reusable systems, evidence, craft, and measurable learning or impact.
- Step 4: A final conversation focused on product-area influence, mentorship, values alignment, and cross-functional decision making.
OUR HYBRID WORK PHILOSOPHY 🤝
Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.
OUR TOTAL REWARDS PHILOSOPHY 🎉
Our Total Rewards Philosophy centers around three core areas to reward and care for our People:
- Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success.
- Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being.
- Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.
OUR PROMISE TO YOU 😍
- Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package.
- Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it.
- Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off!
- Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025!
- Fuel for Your Day: Receive a meal voucher for every working day, so you can focus on doing your best work while enjoying a meal that keeps you energized.
- Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.
Location: San Jose, California or Remote
Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities.
Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore
Have Fun
and
Is Motion Gaming Back?
, as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations.
Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities.
Important Notice:
⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in
@nex.inc
. If you receive a suspicious email or message, please do not respond and report it immediately to us.
Location: Remote
Annual salary:
USD 180,000 — 220,000 per year
Final base salary within this range will be determined based on job-related factors, including the candidate’s experience, skills, qualifications, and geographic location.
Type: Full-time
Reports to: General Counsel
About the Role
We're looking for a seasoned product counsel to be Nex's primary legal partner to Product, Engineering, Trust & Safety, Design, and Marketing - advising across the full product lifecycle, with particular depth in privacy and children's privacy compliance. You will own Nex's privacy program day-to-day, including COPPA compliance, camera- and AI-driven data collection practices, and consent and disclosure flows, while also advising on consumer protection, IP, emerging AI regulation, and the broader mix of legal issues that come up as we ship new hardware features, games, and Play Pass content.
This is a senior, largely independent role for someone who wants to build a product legal function from scratch rather than plug into an existing one - you'll be writing our first privacy program, our first product-review processes, and our first AI governance approach, with real opportunity to grow this into a larger function as Nex scales.
What You'll Do
Privacy & Child Safety Program Ownership
Own Nex's privacy program end-to-end: COPPA compliance, data mapping for our camera- and AI-driven product, vendor data processing agreements, and consent/disclosure flows for a product used heavily by children.
Draft, review, and maintain Nex's privacy policy, terms of service, and parental consent flows, including for new markets as we expand internationally (e.g., GDPR and other regional children's/data protection frameworks).
Advise Product, Engineering, Trust & Safety and Design on privacy-by-design principles and age-appropriate product experiences from ideation through launch.
Monitor the evolving children's privacy and online safety regulatory landscape (COPPA, state age-appropriate design laws, GDPR-K, and similar frameworks) and translate developments into actionable product guidance.
Serve as the point of contact for privacy incidents, regulatory inquiries, and data subject/parental requests, escalating appropriately to the GC and outside counsel.
Serve as the escalation point for Legal Operations and Commercial Counsel on any privacy or COPPA questions that surface in vendor, commercial, or operational contexts - they are trained to flag these to you rather than advise on them directly.
Product Counseling Across the Lifecycle
Be a trusted, embedded advisor to Product, Engineering, Trust & Safety, Design, and Marketing - reviewing new features, hardware capabilities, and AI/motion-detection functionality for legal risk from concept through launch.
Advise on consumer protection issues relevant to Play Pass and other subscription or in-product offerings, including disclosures, auto-renewal compliance, and promotions or sweepstakes tied to product launches or marketing campaigns.
Review product user experiences, in-app disclosures, and marketing/advertising materials to mitigate legal risk while supporting the team's goals.
Provide practical guidance on emerging AI regulation as it applies to Nex's computer vision and motion-detection technology, including responsible AI development and deployment considerations.
Flag physical product safety and liability considerations that arise from hardware feature design (e.g., camera/sensor placement, physical play mechanics, choking/impact hazards for young users) to the GC and outside counsel during feature review.
Support IP strategy for product innovation: facilitate invention harvesting and patent-strategy conversations with Engineering, and advise on trademark use in-product, in partnership with Legal Operations on portfolio docketing.
Building the Function
Build the playbooks, guides, and internal training that let Product, Engineering, and Marketing self-serve on lower-risk questions and escalate the right issues early.
Design a scalable legal review process for product launches that keeps pace with Nex's release cadence without becoming a bottleneck.
Partner with Legal Operations on intake triage and template design for product-related legal requests, and with Commercial Counsel to keep licensing/partnership agreements aligned with product privacy and IP commitments.
Manage outside counsel on specialized privacy, AI regulatory, product-safety, or IP matters as needed, with Legal Operations administering the underlying vendor relationship and spend.
As Nex scales, help define whether and how this function grows - this role has a credible path to leading a larger product legal team.
What You'll Bring
J.D. and active bar membership in good standing (California or another U.S. state, as applicable).
4-7+ years of relevant legal experience, combining law firm and in-house product counseling at a technology or consumer products company.
Deep, hands-on experience with children's privacy compliance (COPPA, age-appropriate design frameworks, GDPR-K or similar) - this is the technical core of the role.
Experience advising product, engineering, and design teams throughout the full product development lifecycle, not just at launch review.
Working knowledge of consumer protection law as applied to subscriptions, promotions, and marketing claims.
Comfort advising on emerging AI/computer vision regulatory questions, even without a technical background, and genuine interest in the underlying technology.
A builder's mindset: comfortable creating playbooks, review processes, and governance frameworks from scratch rather than operating an existing one.
Excellent judgment translating complex legal and regulatory requirements into clear, actionable guidance for non-legal audiences under real deadlines.
Strong cross-functional relationship-building skills and a low-ego, collaborative approach.
Nice to Have
Privacy certification (CIPP/US, CIPP/E, or similar), or willingness to obtain one.
Experience in consumer hardware, consumer electronics, gaming, or toy/kids' products.
Experience supporting sweepstakes, contests, or promotions tied to consumer products or subscriptions.
Exposure to patent or trademark strategy in a product/engineering context.
Experience advising on international product launches and multi-jurisdictional compliance.
What Success Looks Like
Product, Engineering, Trust & Safety, Design and Marketing have a legal partner they trust to move fast on new features and launches with confidence.
Nex has a documented, defensible privacy and children's data protection program that scales as the company grows and enters new markets.
Privacy, consumer protection, and AI regulatory issues are surfaced and resolved at the design stage, not after the fact.
Playbooks, templates, and review processes let the product organization self-serve on routine questions, freeing this role to focus on the highest-impact issues.
Nex is positioned to expand this function as the business grows, with this person as the natural lead.
We Offer
Competitive compensation package.
Flexible working hours and vacation policy.
Product-driven culture that treasures talents and individual growth.
Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field
Nex is located in
San Jose, California, USA
and
Hong Kong
. Learn more about us at
https://www.nexplayground.com/about
.
We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms!
Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination.
We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.
Location: Ontario
Workplace: Remote
Must be CST or EST
The Engineering and Business Systems team works collaboratively across Chainalysis’ Business Automation, Data and Systems organization to ensure that core business systems and platforms enable business policies and operational processes. Our job is to empower employees to do their best work by building the foundational systems and data products that drive business decisions and processes while accelerating Chainalysis’ growth.
As the Director, Business Systems & Platform Engineering, you’ll be at the forefront of positioning our technical teams to thrive in an AI-driven shift to headless, API and MCP-driven business systems architectures. You’ll own the integrated technical roadmap for building out the technology architecture as well as the underlying administration and engineering practices. The ideal candidate brings strong software and data engineering leadership depth and can ramp quickly on the GTM and Finance systems domain. The role will lead a small organization that encompasses platform engineering, data engineering, integration engineering and systems administration.
In this role, you'll:
- Lead the systems and engineering org through a shift from a traditional IT and admin-centric org to one centered around platform and data engineering.
- Own the technical architecture, design, and delivery roadmap across business systems, enterprise data and integrations.
- Directly manage and grow systems and engineering-track managers and direct reports including technical mentorship and career pathing.
- Collaborate with team members to establish and codify standards, style guides, workflows, ceremonies and other engineering and systems practices into a single, coherent operating model that leverages AI and agentic processes.
- Partner with colleagues in Product, Success and Program Management to prioritize and deliver the BADaS roadmap by translating business, process and product requirements into technical scope, staffing, and sequencing decisions.
- Act as the internal technical counterpart to vendors and partners, including reviewing architecture proposals, approving technical designs, and owning technical builds.
- Own security, RBAC, and data-governance posture of BADaS platforms, especially from an audit and access-control risk perspective.
- Partner with engineering leaders across Chainalysis on best practices and to leverage platforms, components, solutions and code-bases that already exist.
We're looking for candidates who have:
- 8+ years of experience in software, platform, or data engineering, including 4+ years managing engineers and engineering managers.
- Strong organizational leadership: hiring, career pathing, and building succession depth across a multi-manager org that currently has real single-point-of-failure risk.
- Comfortable operating in an ambiguous, transformation-in-progress environment.
- Demonstrated ownership of team-based technical architecture and engineering practices: repo management, CI/CD, code review standards, test/regression discipline, etc.
- Experience managing a technically mixed org (engineers, data engineers, and platform/systems administrators) and successfully raising the technical bar of the admin-facing work over time.
- Data-first orientation focused on data architecture and flow
- Strong working fluency in modern, event-based, service-oriented architectures using server-side JavaScript / TypeScript / Node.js http://node.js within a primarily serverless AWS environment.
- Deep experience with REST / GraphQL API architectures, relevant authorization strategies including OAUTH and JWT.
- Familiarity with data engineering fundamentals and infrastructure including SQL, Python, dbt / data modeling, pipeline orchestration, batch vs near-real time ETLs and reverse ETLs, medallion architectures.
- Experience with IaC platforms (e.g. Terraform) for DevOps and cloud infrastructure.
Nice to have experience:
- Modern AI-centric engineering workflows and practices.
- Experience with Model Context Protocol (MCP) and building autonomous AI agents.
- Hands-on experience with graph theory and databases, especially as a context layer for Ai co-pilots, workflows and agents.
- Track record of managing vendors and implementation partners on a complex platform build, including technical design review and sign-off authority.
- Experience with enterprise SaaS platforms used in GTM and/or Finance (e.g. Marketo, Salesforce, NetSuite, Nue, Salesforce Revenue Cloud Advanced, Conga and DealHub) at an architectural and API level.
Technologies we use:
- Python, Node.js
- AWS (Lambda, Step Functions, S3, CloudWatch, VPCs, IAM)
- Workato, Fivetran
- Databricks, Airbyte
- Terraform
- Git, Github
- Salesforce, Netsuite, Workday, Marketo, Clari, Adaptive
- LiteLLM, Claude Code
AI at Chainalysis
AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.
AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.
About Chainalysis
Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation.
You belong here.
At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.
We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.
Location: Remote - USA
Workplace: Remote
Must be CST or EST
The Engineering and Business Systems team works collaboratively across Chainalysis’ Business Automation, Data and Systems organization to ensure that core business systems and platforms enable business policies and operational processes. Our job is to empower employees to do their best work by building the foundational systems and data products that drive business decisions and processes while accelerating Chainalysis’ growth.
As the Director, Business Systems & Platform Engineering, you’ll be at the forefront of positioning our technical teams to thrive in an AI-driven shift to headless, API and MCP-driven business systems architectures. You’ll own the integrated technical roadmap for building out the technology architecture as well as the underlying administration and engineering practices. The ideal candidate brings strong software and data engineering leadership depth and can ramp quickly on the GTM and Finance systems domain. The role will lead a small organization that encompasses platform engineering, data engineering, integration engineering and systems administration.
In this role, you'll:
- Lead the systems and engineering org through a shift from a traditional IT and admin-centric org to one centered around platform and data engineering.
- Own the technical architecture, design, and delivery roadmap across business systems, enterprise data and integrations.
- Directly manage and grow systems and engineering-track managers and direct reports including technical mentorship and career pathing.
- Collaborate with team members to establish and codify standards, style guides, workflows, ceremonies and other engineering and systems practices into a single, coherent operating model that leverages AI and agentic processes.
- Partner with colleagues in Product, Success and Program Management to prioritize and deliver the BADaS roadmap by translating business, process and product requirements into technical scope, staffing, and sequencing decisions.
- Act as the internal technical counterpart to vendors and partners, including reviewing architecture proposals, approving technical designs, and owning technical builds.
- Own security, RBAC, and data-governance posture of BADaS platforms, especially from an audit and access-control risk perspective.
- Partner with engineering leaders across Chainalysis on best practices and to leverage platforms, components, solutions and code-bases that already exist.
We're looking for candidates who have:
- 8+ years of experience in software, platform, or data engineering, including 4+ years managing engineers and engineering managers.
- Strong organizational leadership: hiring, career pathing, and building succession depth across a multi-manager org that currently has real single-point-of-failure risk.
- Comfortable operating in an ambiguous, transformation-in-progress environment.
- Demonstrated ownership of team-based technical architecture and engineering practices: repo management, CI/CD, code review standards, test/regression discipline, etc.
- Experience managing a technically mixed org (engineers, data engineers, and platform/systems administrators) and successfully raising the technical bar of the admin-facing work over time.
- Data-first orientation focused on data architecture and flow
- Strong working fluency in modern, event-based, service-oriented architectures using server-side JavaScript / TypeScript / Node.js http://node.js within a primarily serverless AWS environment.
- Deep experience with REST / GraphQL API architectures, relevant authorization strategies including OAUTH and JWT.
- Familiarity with data engineering fundamentals and infrastructure including SQL, Python, dbt / data modeling, pipeline orchestration, batch vs near-real time ETLs and reverse ETLs, medallion architectures.
- Experience with IaC platforms (e.g. Terraform) for DevOps and cloud infrastructure.
Nice to have experience:
- Modern AI-centric engineering workflows and practices.
- Experience with Model Context Protocol (MCP) and building autonomous AI agents.
- Hands-on experience with graph theory and databases, especially as a context layer for Ai co-pilots, workflows and agents.
- Track record of managing vendors and implementation partners on a complex platform build, including technical design review and sign-off authority.
- Experience with enterprise SaaS platforms used in GTM and/or Finance (e.g. Marketo, Salesforce, NetSuite, Nue, Salesforce Revenue Cloud Advanced, Conga and DealHub) at an architectural and API level.
Technologies we use:
- Python, Node.js
- AWS (Lambda, Step Functions, S3, CloudWatch, VPCs, IAM)
- Workato, Fivetran
- Databricks, Airbyte
- Terraform
- Git, Github
- Salesforce, Netsuite, Workday, Marketo, Clari, Adaptive
- LiteLLM, Claude Code
AI at Chainalysis
AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.
AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.
About Chainalysis
Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation.
You belong here.
At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.
We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.
New York, United States
Paris; Amsterdam; Linz; Munich; London; Berlin; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
ГибридParis; Amsterdam; Linz; Munich; London; Berlin; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
УдалённоRemote: United States
seniorDublin, Ireland; London, England
УдалённоRemote - US; Compensation for candidates in other locations will be discussed during the hiring process
seniorDublin, Ireland; London, England; At Fin, we believe AI agents and human support teams will work symbiotically as one team in one system, increasingly directed by AI, with humans elevated to higher-level roles and engaging directly with customers only in complex, high-stakes moments
ГибридMilan, Italy; Biassono, Italy
New York City, New York
УдалённоseniorArgentina
ГибридseniorГеография найма не уточнена
Nex employees may be expected to collaborate with colleagues across different time zones