Location: San Francisco
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
Enterprise at Baseten means the companies with the most to gain from AI and the most complexity in getting there: large digital natives running products at massive scale, and category leaders in software, financial services, healthcare, and beyond. They have the data, the distribution, and the budget. Most are still deciding what to build, what to run themselves, and what it should cost.
That makes this a consultative sale. You'll spend as much time helping a VP of Engineering pressure-test their AI strategy as you will selling against an alternative, mapping use cases, framing build-vs-buy, and giving clear recommendations grounded in what you've seen work at the frontier. Then you'll do the enterprise work: multithreading across a buying committee, navigating security and procurement, and turning a first workload into an eight-figure relationship.
You'll work alongside our founders, forward-deployed engineers, and GTM leadership, in a seat where the playbook is still being written.
RESPONSIBILITIES
- Own a revenue target end to end, from prospecting and outbounding through closing Tier 1 accounts in your verticals
- Act as a strategic advisor on AI adoption: identify use cases, shape architecture decisions, and lead with clear, opinionated recommendations
- Multithread across large organizations, from the engineers running evals to the executives funding the program to security, legal, and procurement
- Win lighthouse customers that become references for their entire industry
- Partner with forward-deployed engineering on technical evaluations, POCs, and architecture reviews
- Feed signal back to product and engineering. What enterprises need next is a roadmap input we don't get anywhere else
REQUIREMENTS
- 8+ years of enterprise B2B sales experience in technology, ideally infrastructure, API/platform, or developer tooling
- A track record of closing seven- and eight-figure deals by navigating multi-stakeholder buying committees and long, complex cycles
- Demonstrated ability to run a consultative sale. You've helped customers define a strategy, not just evaluate a product
- Strong technical acumen: you can hold your own on model serving, GPU infrastructure, latency, and API architecture
- Experience selling into large digital natives or regulated industries (financial services, healthcare/life sciences, insurance, government)
- Excellent communication and comfort with high autonomy in a fast-moving environment
NICE TO HAVE
- Direct experience selling AI/ML infrastructure, cloud compute, or model deployment platforms
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Meet Arago and the Aragonians Arago is an AI and computer hardware company whose mission is to drive the course of history forward. We do so by accelerating breakthroughs at the intersection of AI and semiconductors. Founded in 2024 by AI researchers and physicists with deep expertise in photonics, electronics, software, mathematics, and machine learning, Arago brings together a lean team of engineers and scientists from the world’s top companies and research labs. Composed of nine nationalities and operating from hubs in France, North America, and Israel, we believe in great science and fast achievements. Our work is guided by these core principles: Do great things: we deliver work we’re proud to sign our name to. High velocity: speed matters. We move quickly, one step at a time. One unit: we’re all in this together, with relationships grounded in trust, respect, and camaraderie. Arago is backed by executives from Apple, Arm, Nvidia, Microsoft, and Hugging Face, as well as prominent US and European deeptech venture firms and exited founders.
Задачи:
— Design and verify custom digital hardware components and architectures that enable high-performance, tightly integrated computation workloads and interface Arago’s custom tensor unit for advanced AI/ML applications.
— Design, implement, and verify RTL blocks for memory, control, and compute subsystems within Arago’s custom multiphysics computation unit.
— Collaborate with Arago’s system software and architecture teams to define block-level specifications and ensure alignment with performance and integration goals.
— Develop and maintain functional verification infrastructure to validate design correctness across simulation and hardware testbenches.
— Support synthesis, timing analysis, and backend integration, working closely with Arago’s physical design and CAD engineers.
— Contribute to architectural exploration and hardware-software co-design efforts to shape future iterations of Arago’s compute platform.
Требования:
— Extensive experience in RTL design (Verilog/SystemVerilog) for control logic, datapaths, memory subsystems, and specialized processing units.
— Strong understanding of digital architecture, including pipelining, arbitration, memory hierarchy, and system-level integration.
— Proficiency in functional verification, including testbench development, assertions, coverage metrics, and debugging (UVM experience is a plus).
— Familiarity with ASIC and FPGA design flows, including synthesis, timing closure, and DFT.
— Comfortable working across the full hardware stack — from architectural specification and microarchitecture to physical implementation support.
— Language: English at a proficient level. French is a plus.
Условия:
— Competitive cash compensation, with final package based on location, experience, and the pay of team members in similar positions.
— Meaningful stock option plan offered at the earliest stage of the company (included in the majority of full time offers).
— Relocation bonus and coverage of moving expenses for relocation within 20 minutes of the company’s location.
— Healthcare coverage (including family-friendly options), pension contributions, professional development support, and 25 days of PTO, in addition to public holidays.
— Ownership of a key technical domain, with significant vertical and/or horizontal growth opportunities, based on performance and individual drive.
— Reimbursement of 50% of the public transport subscription fee.
— A high-paced, multicultural (with 9 nationalities), and engineering-led environment.
Our Hiring Process: Your Journey to Arago
— Screening Call : Get to know you beyond your CV.
— Technical meeting : Deep dive into your past projects and technical achievements.
— CEO Interview : Assess the fit with the team’s culture and long-term vision.
— Reference Calls: Mandatory calls with your former managers to validate strengths, weaknesses, and work style.
— Technical Assessment: Take-home technical assignment crafted to the role you’re applying for.
— Final Interview : Discuss your technical assignment and address any remaining questions with team members.
Meet Arago and the Aragonians Arago is an AI and computer hardware company whose mission is to drive the course of history forward. We do so by accelerating breakthroughs at the intersection of AI and semiconductors. Founded in 2024 by AI researchers and physicists with deep expertise in photonics, electronics, software, mathematics, and machine learning, Arago brings together a lean team of engineers and scientists from the world’s top companies and research labs. Composed of nine nationalities and operating from hubs in France, North America, and Israel, we believe in great science and fast achievements. Our work is guided by these core principles: Do great things: we deliver work we’re proud to sign our name to. High velocity: speed matters. We move quickly, one step at a time. One unit: we’re all in this together, with relationships grounded in trust, respect, and camaraderie. Arago is backed by executives from Apple, Arm, Nvidia, Microsoft, and Hugging Face, as well as prominent US and European deeptech venture firms and exited founders.
Задачи:
— Develop Arago’s quantization strategy for modern AI models, including precision studies, numerical format exploration, and model-level techniques to preserve accuracy under constrained precision.
— Study the impact of analog noise on the performance and inference accuracy of machine learning models, including language models, diffusion, video generation, and world models.
— Develop simulation tools to model analog behavior with minimal computational overhead.
— Build and maintain Arago's internal experimentation pipelines for precision and performance studies on both physical and emulated prototypes.
— Act as a technical point of contact between clients and Arago: analyze, port, and optimize client models onto Arago hardware, balancing throughput and accuracy.
— Collaborate with the software and digital architecture teams to support architectural enhancements based on the operator content of frontier model architectures.
Требования:
— Background in mathematics, physics, computer science, or a related quantitative field.
— Strong interest and skills in applied mathematics and statistics.
— Strong experience with quantization of machine learning and AI models.
— Strong understanding of modern model architectures, including language models, diffusion models, video generation models, and/or world models.
— Experience studying the impact of numerical precision, noise, or approximation on model accuracy.
— Experience with inference performance optimization.
— Good knowledge of computer architecture, GPU architecture, or parallel computing.
— Ability to build rigorous experimentation pipelines and translate research insights into practical engineering decisions.
— GitHub profile with recent and relevant projects.
— Language: English at a proficient level. French is a plus.
Условия:
— Competitive cash compensation, with final package based on location, experience, and the pay of team members in similar positions.
— Meaningful stock option plan offered at the earliest stage of the company (included in the majority of full time offers).
— Relocation bonus and coverage of moving expenses for relocation within 20 minutes of the company’s location.
— Healthcare coverage (including family-friendly options), pension contributions, professional development support, and 25 days of PTO, in addition to public holidays.
— Ownership of a key technical domain, with significant vertical and/or horizontal growth opportunities, based on performance and individual drive.
— Reimbursement of 50% of the public transport subscription fee.
— A high-paced, multicultural (with 10 nationalities), and engineering-led environment.
Задачи:
— Разработка с нуля мультиязычного голосового ассистента (обязательно: английский + турецкий) для мобильного приложения и личного кабинета клиента.
— Проектирование архитектуры: оценка решений «готовые API vs локальные модели» и последующий вывод open-source LLM в продакшн.
— Интеграция AI-сервисов с текущим бэкендом платформы (основной стек: PHP/Laravel, есть элементы legacy на Yii/C#).
— На перспективу: задачи на стыке Computer Vision (умный процессинг оплат) и телематики (анализ данных с датчиков топлива, предсказание поломок спецтехники).
Требования:
— Отличный Python (коммерческий опыт Middle+ / Senior).
— Понимание архитектуры бэкенда (будет плюсом опыт соприкосновения с PHP/Laravel или Go).
— Опыт разработки голосовых решений (STT/TTS, ASR/NLP), опыт развертывания и кастомизации локальных моделей (LLM) на своих серверах в проде.
— English: уровень B2 и выше (чтение документации, работа с зарубежными AI-ресурсами и проектами).
Условия:
— Локация: Алматы, офис (для сильных кандидатов возможен гибрид или удаленка).
— Занятость: Full-time.
Location: Remote (US); San Francisco, CA; New York, NY (HQ)
Workplace: Remote
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
Technical Consultants are on the frontlines working to establish partnerships with Ramp customers, and act as a liaison between customers and our internal technical teams. You’ll be partnering with Customer Activation & Account Management teams to identify, prioritize and build financial solutions for new and existing customers so that Ramp continues to scale with their needs.
You will act as the technical and financial subject matter expert for our customers, and design solutions that address the customer’s needs through Ramp and partner integrations. You will partner with Post-Sales teams to drive Product, Design and Engineering teams’ roadmaps to evolve Ramp to better serve our customers at scale and offer increasingly higher value to the customers.
You will define the customer’s financial & technical success criteria from onboarding through activation and expansion. You will represent Product, Design and Engineering externally and will operate with deep conviction and understanding of Ramp’s technical capabilities. The role requires technical skills necessary to understand and educate on robust accounting features, and integrate them across all the touchpoints and surface area of a customer.
This role is focused on Commercial and Mid-Market customers, supporting high-growth companies with standardized financial workflows, core ERP integrations, and repeatable implementation patterns that drive fast time-to-value.
WHAT YOU'LL DO
- Act as a technical advisor to customers and Ramp’s internal teams while supporting high-value implementations and expansion opportunities by guiding integration, configuration, and system design
- Partner with Customer Activation and Account Management teams to assess customer requirements and propose scalable solutions; particularly involving ERP, HRIS, and API integrations
- Collaborate with onboarding specialists and implementation leads to support technical workstreams (not run them), ensuring faster time-to-value and customer success
- Work with customers to problem-solve technical hurdles and propose effective product implementations for each customer with a deep understanding of the full range of integration and configuration options
- Participate in technical discovery to understand customer systems and workflows, and recommend best-fit Ramp architecture. This includes when and how to use Ramp’s API
- Be a subject matter expert across our HRIS and Accounting integration partners, partnering with Sales, Product and partners to advocate for integration development in-line with customer needs
- Troubleshoot integration blockers and guide customers through complex configuration decisions without writing code directly
- Contribute to internal documentation and tooling that scales Ramp’s ability to support integration use cases across a growing customer base
- Influence Ramp’s product roadmap by channeling customer pain points and feedback to the Product and Engineering teams
WHAT YOU NEED
- Bachelor's degree in computer science, engineering, finance, business, or a related field
- 2+ years in technical consulting, solutions engineering, implementation, or a similar customer-facing technical role, ideally in a SaaS or fintech environment
- Familiarity with ERP systems (e.g. NetSuite, Sage Intacct, Microsoft Dynamics, Oracle Fusion) and finance/accounting workflows. SAP S/4HANA or Sage Intacct expertise highly preferred.
- Comfort working with APIs, integration logic, and system architecture and being able to explain those concepts to finance and operations stakeholders
- Strong communication skills: able to translate complex technical solutions into business value, guide customers toward scalable approaches, and diplomatically steer conversations when requests are misaligned with best practices or product capabilities
- Collaborative mindset and ability to work cross-functionally with Sales, Customer Success, Product, and Engineering
- Exceptional organization and problem-solving skills, with a bias toward action and a high level of ownership
- Thrives in ambiguity and fast-paced environments; adaptable and resourceful as we scale Ramp’s upmarket motion
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: Remote (US); Remote (Canada); San Francisco, CA; New York, NY (HQ); Toronto, ON; Miami, FL
Workplace: Remote
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
Technical Consultants are on the frontlines working to establish partnerships with Ramp customers, and act as a liaison between customers and our internal technical teams. You'll be partnering with Customer Activation & Account Management teams to identify, prioritize and build financial solutions for new and existing customers so that Ramp continues to scale with their needs.
You will act as the technical and financial subject matter expert for our customers and design solutions that address the customer's needs through Ramp and partner integrations. You will partner with Post-Sales teams to drive Product, Design and Engineering teams' roadmaps to evolve Ramp to better serve our customers at scale and offer increasingly higher value.
You will define the customer's financial & technical success criteria from onboarding through activation and expansion. You will represent Product, Design, and Engineering externally and will operate with deep conviction and understanding of Ramp's technical capabilities. The role requires technical skills necessary to understand and educate on robust accounting features and integrate them across all the touchpoints and surface area of a customer.
This role is specifically focused on Strategic Enterprise customers running Oracle Fusion Cloud, supporting large, complex organizations with multi-entity environments, advanced ERP integrations, and highly customized financial workflows.
WHAT YOU'LL DO
- Serve as the primary Technical Consultant for Strategic Enterprise accounts running Oracle Cloud, supporting complex, high-impact customers with multi-entity, multi-ERP, and global financial environments
- Act as a technical advisor to customers and Ramp's internal teams while supporting high-value implementations and expansion opportunities by guiding Oracle Cloud integration, configuration, and system design
- Partner with Customer Activation and Account Management teams to assess customer requirements and propose scalable solutions involving Oracle Cloud, HRIS, and API integrations
- Collaborate with onboarding specialists and implementation leads to support technical workstreams, ensuring faster time-to-value and customer success
- Work with customers to problem-solve technical hurdles and propose effective product implementations with a deep understanding of Oracle Cloud integration and configuration options
- Participate in technical discovery to understand customer Oracle Cloud environments and workflows, and recommend best-fit Ramp architecture including when and how to use Ramp's API
- Be a subject matter expert across Oracle Cloud and Ramp's accounting integration capabilities, partnering with Sales, Product and partners to advocate for integration development aligned with customer needs
- Troubleshoot Oracle Cloud integration blockers and guide customers through complex configuration decisions
- Contribute to internal documentation and tooling that scales Ramp's ability to support Oracle Cloud integration use cases across a growing customer base
- Influence Ramp's product roadmap by channeling Oracle Cloud customer pain points and feedback to the Product and Engineering teams
WHAT YOU NEED
- Bachelor's degree in computer science, engineering, finance, business, or a related field
- 4+ years in technical consulting, solutions engineering, implementation, or a similar customer-facing technical role, ideally in a SaaS or fintech environment
- 3+ years of hands-on experience working with Oracle Fusion Cloud, including financials modules, integration patterns, and enterprise deployment models
- Deep familiarity with Oracle Cloud Financials accounting workflows, including core functionalities involving General Ledger, Accounts Payable, Subledger Accounting, and multi-org structures
- Comfort working with APIs, integration logic, and system architecture and being able to explain those concepts to finance and operations stakeholders
- Partner closely with Product, Engineering, and Design on enterprise-driven gaps, influencing roadmap decisions that unlock scale across Ramp's largest customers
- Advise on non-standard Oracle Cloud implementations and edge cases, balancing customer needs with long-term platform scalability and supportability
- Strong communication skills: able to translate complex technical solutions into business value and guide customers toward scalable approaches
- Collaborative mindset and ability to work cross-functionally with Sales, Customer Success, Product, and Engineering
- Exceptional organization and problem-solving skills, with a bias toward action and a high level of ownership
- Thrives in ambiguity and fast-paced environments; adaptable and resourceful as we scale Ramp's upmarket motion
NICE TO HAVE
- Oracle Cloud Procurement and/or Oracle Projects (PPM) implementation experience
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: Remote (US); Remote (Canada); San Francisco, CA; New York, NY (HQ); Miami, FL
Workplace: Remote
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
Technical Consultants are on the frontlines working to establish partnerships with Ramp customers, and act as a liaison between customers and our internal technical teams. You'll be partnering with Customer Activation & Account Management teams to identify, prioritize and build financial solutions for new and existing customers so that Ramp continues to scale with their needs.
You will act as the technical and financial subject matter expert for our customers, and design solutions that address the customer's needs through Ramp and partner integrations. You will partner with Post-Sales teams to drive Product, Design and Engineering teams' roadmaps to evolve Ramp to better serve our customers at scale and offer increasingly higher value to the customers.
You will define the customer's financial & technical success criteria from onboarding through activation and expansion. You will represent Product, Design and Engineering externally and will operate with deep conviction and understanding of Ramp's technical capabilities. The role requires technical skills necessary to understand and educate on robust accounting features, and integrate them across all the touchpoints and surface area of a customer.
This role is specifically focused on Enterprise and Strategic Enterprise customers running SAP S/4HANA, supporting large, complex organizations with multi-entity environments, advanced ERP integrations, and highly customized financial workflows.
WHAT YOU'LL DO
- Serve as the primary Technical Consultant for Enterprise and Strategic Enterprise accounts running SAP S/4HANA, supporting complex, high-impact customers with multi-entity, multi-ERP, and global financial environments
- Act as a technical advisor to customers and Ramp's internal teams while supporting high-value implementations and expansion opportunities by guiding S/4HANA integration, configuration, and system design
- Partner with Customer Activation and Account Management teams to assess customer requirements and propose scalable solutions involving S/4HANA, HRIS, and API integrations
- Collaborate with onboarding specialists and implementation leads to support technical workstreams, ensuring faster time-to-value and customer success
- Work with customers to problem-solve technical hurdles and propose effective product implementations with a deep understanding of S/4HANA integration and configuration options
- Participate in technical discovery to understand customer S/4HANA environments and workflows, and recommend best-fit Ramp architecture including when and how to use Ramp's API
- Be a subject matter expert across SAP S/4HANA and Ramp's accounting integration capabilities, partnering with Sales, Product and partners to advocate for integration development aligned with customer needs
- Troubleshoot S/4HANA integration blockers and guide customers through complex configuration decisions
- Contribute to internal documentation and tooling that scales Ramp's ability to support S/4HANA integration use cases across a growing customer base
- Influence Ramp's product roadmap by channeling S/4HANA customer pain points and feedback to the Product and Engineering teams
WHAT YOU NEED
- Bachelor's degree in computer science, engineering, finance, business, or a related field
- 4+ years in technical consulting, solutions engineering, implementation, or a similar customer-facing technical role, ideally in a SaaS or fintech environment
- 3+ years of hands-on experience working with SAP S/4HANA, including finance modules, integration patterns, and enterprise deployment models
- Deep familiarity with S/4HANA finance and accounting workflows, including General Ledger, Accounts Payable, and cost center management
- Comfort working with APIs, integration logic, and system architecture and being able to explain those concepts to finance and operations stakeholders
- Partner closely with Product, Engineering, and Design on enterprise-driven gaps, influencing roadmap decisions that unlock scale across Ramp's largest customers
- Advise on non-standard S/4HANA implementations and edge cases, balancing customer needs with long-term platform scalability and supportability
- Strong communication skills: able to translate complex technical solutions into business value and guide customers toward scalable approaches
- Collaborative mindset and ability to work cross-functionally with Sales, Customer Success, Product, and Engineering
- Exceptional organization and problem-solving skills, with a bias toward action and a high level of ownership
- Thrives in ambiguity and fast-paced environments; adaptable and resourceful as we scale Ramp's upmarket motion
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: Remote (US); Remote (Canada); San Francisco, CA; New York, NY (HQ); Toronto, ON; Miami, FL
Workplace: Remote
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
Technical Consultants are on the frontlines working to establish partnerships with Ramp customers, and act as a liaison between customers and our internal technical teams. You'll be partnering with Customer Activation & Account Management teams to identify, prioritize and build financial solutions for new and existing customers so that Ramp continues to scale with their needs.
You will act as the technical and financial subject matter expert for our customers, and design solutions that address the customer's needs through Ramp and partner integrations. You will partner with Post-Sales teams to drive Product, Design and Engineering teams' roadmaps to evolve Ramp to better serve our customers at scale and offer increasingly higher value to the customers.
You will define the customer's financial & technical success criteria from onboarding through activation and expansion. You will represent Product, Design and Engineering externally and will operate with deep conviction and understanding of Ramp's technical capabilities. The role requires technical skills necessary to understand and educate on robust accounting features, and integrate them across all the touchpoints and surface area of a customer.
This role is specifically focused on Enterprise and Strategic Enterprise customers running Workday, supporting large, complex organizations with multi-entity environments, advanced ERP integrations, and highly customized financial workflows.
WHAT YOU'LL DO
- Serve as the primary Technical Consultant for Enterprise and Strategic Enterprise accounts running Workday, supporting complex, high-impact customers with multi-entity, multi-ERP, and global financial environments
- Act as a technical advisor to customers and Ramp's internal teams while supporting high-value implementations and expansion opportunities by guiding Workday integration, configuration, and system design
- Partner with Customer Activation and Account Management teams to assess customer requirements and propose scalable solutions involving Workday Finance & Operations, HRIS, and API integrations
- Collaborate with onboarding specialists and implementation leads to support technical workstreams, ensuring faster time-to-value and customer success
- Work with customers to problem-solve technical hurdles and propose effective product implementations with a deep understanding of Workday integration and configuration options
- Participate in technical discovery to understand customer Workday environments and workflows, and recommend best-fit Ramp architecture including when and how to use Ramp's API
- Be a subject matter expert across Workday and Ramp's accounting integration capabilities, partnering with Sales, Product and partners to advocate for integration development aligned with customer needs
- Troubleshoot Workday integration blockers and guide customers through complex configuration decisions
- Contribute to internal documentation and tooling that scales Ramp's ability to support Workday integration use cases across a growing customer base
- Influence Ramp's product roadmap by channeling Workday customer pain points and feedback to the Product and Engineering teams
WHAT YOU NEED
- Bachelor's degree in computer science, engineering, finance, business, or a related field
- 4+ years in technical consulting, solutions engineering, implementation, or a similar customer-facing technical role, ideally in a SaaS or fintech environment
- 3+ years of hands-on experience working with Workday, including integration patterns and enterprise deployment models
- Deep familiarity with Workday finance and accounting workflows, including General Ledger, Accounts Payable, financial dimensions, and legal entity structures
- Comfort working with APIs, integration logic, and system architecture and being able to explain those concepts to finance and operations stakeholders
- Partner closely with Product, Engineering, and Design on enterprise-driven gaps, influencing roadmap decisions that unlock scale across Ramp's largest customers
- Advise on non-standard Workday implementations and edge cases, balancing customer needs with long-term platform scalability and supportability
- Strong communication skills: able to translate complex technical solutions into business value and guide customers toward scalable approaches
- Collaborative mindset and ability to work cross-functionally with Sales, Customer Success, Product, and Engineering
- Exceptional organization and problem-solving skills, with a bias toward action and a high level of ownership
- Thrives in ambiguity and fast-paced environments; adaptable and resourceful as we scale Ramp's upmarket motion
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Arago is an AI and computer hardware company focused on accelerating breakthroughs at the intersection of AI and semiconductors. The company was founded in 2024 by AI researchers and physicists with expertise in photonics, electronics, software, mathematics, and machine learning. The team is multinational and operates from hubs in France, North America, and Israel.
Задачи:
— Design and verify custom digital hardware components and architectures for high-performance, tightly integrated computation workloads.
— Design, implement, and verify RTL blocks for memory, control, and compute subsystems within Arago’s custom multiphysics computation unit.
— Collaborate with system software and architecture teams to define block-level specifications and ensure alignment with performance and integration goals.
— Develop and maintain functional verification infrastructure to validate design correctness across simulation and hardware testbenches.
— Support synthesis, timing analysis, and backend integration, working closely with physical design and CAD engineers.
— Contribute to architectural exploration and hardware-software co-design efforts to shape future iterations of Arago’s compute platform.
Требования:
— Extensive experience in RTL design (Verilog/SystemVerilog) for control logic, datapaths, memory subsystems, and specialized processing units.
— Strong understanding of digital architecture including pipelining, arbitration, memory hierarchy, and system-level integration.
— Proficiency in functional verification including testbench development, assertions, coverage metrics, and debugging; UVM experience is a plus.
— Familiarity with ASIC and FPGA design flows including synthesis, timing closure, and DFT.
— Comfortable working across the full hardware stack from architectural specification and microarchitecture to physical implementation support.
— Proficient English; French is a plus.
Условия:
— Competitive cash compensation based on location, experience, and team pay.
— Meaningful stock option plan offered early.
— Relocation bonus and coverage of moving expenses for relocation within 20 minutes of company location.
— Healthcare coverage including family options, pension contributions, professional development support.
— 25 days PTO plus public holidays.
— Ownership of a key technical domain with growth opportunities.
— Reimbursement of 50% of public transport subscription fee.
— High-paced, multicultural, engineering-led environment.
Процесс найма:
— Screening Call
— Technical meeting
— CEO Interview
— Reference Calls
— Technical Assessment
— Final Interview
Meet Arago and the Aragonians Arago is an AI and computer hardware company whose mission is to drive the course of history forward. We do so by accelerating breakthroughs at the intersection of AI and semiconductors. Founded in 2024 by AI researchers and physicists with deep expertise in photonics, electronics, software, mathematics, and machine learning, Arago brings together a lean team of engineers and scientists from the world’s top companies and research labs. Composed of nine nationalities and operating from hubs in France, North America, and Israel, we believe in great science and fast achievements. Our work is guided by these core principles: Do great things: we deliver work we’re proud to sign our name to. High velocity: speed matters. We move quickly, one step at a time. One unit: we’re all in this together, with relationships grounded in trust, respect, and camaraderie. Arago is backed by executives from Apple, Arm, Nvidia, Microsoft, and Hugging Face, as well as prominent US and European deeptech venture firms and exited founders.
What you’ll do
As a Senior AI/ML Scientist, you will work at the intersection of modern AI models, numerical precision, and novel computing architectures. Your mission will be to develop the methods that allow AI models to run accurately, efficiently, and reliably on Arago’s computing system. This position combines strong quantization and “digital twin” aspects: understanding how frontier models tolerate reduced precision, defining the right numerical formats and quantization strategies, and building software representations of the processor to model the physical effects that impact AI model accuracy. This role is both scientific and practical. You will help shape the bridge between AI models and Arago’s hardware.
Required Skills and Experience
Background in mathematics, physics, computer science, or a related quantitative field. Strong interest and skills in applied mathematics and statistics. Strong experience with quantization of machine learning and AI models. Strong understanding of modern model architectures, including language models, diffusion models, video generation models, and/or world models. Experience studying the impact of numerical precision, noise, or approximation on model accuracy. Experience with inference performance optimization. Good knowledge of computer architecture, GPU architecture, or parallel computing. Ability to build rigorous experimentation pipelines and translate research insights into practical engineering decisions. GitHub profile with recent and relevant projects. Language: English at a proficient level. French is a plus.
Responsibilities
Develop Arago’s quantization strategy for modern AI models, including precision studies, numerical format exploration, and model-level techniques to preserve accuracy under constrained precision. Study the impact of analog noise on the performance and inference accuracy of machine learning models, including language models, diffusion, video generation, and world models. Develop simulation tools to model analog behavior with minimal computational overhead. Build and maintain Arago's internal experimentation pipelines for precision and performance studies on both physical and emulated prototypes. Act as a technical point of contact between clients and Arago: analyze, port, and optimize client models onto Arago hardware, balancing throughput and accuracy. Collaborate with the software and digital architecture teams to support architectural enhancements based on the operator content of frontier model architectures.
Pay and benefits
Competitive cash compensation, with final package based on location, experience, and the pay of team members in similar positions. Meaningful stock option plan offered at the earliest stage of the company (included in the majority of full time offers). Relocation bonus and coverage of moving expenses for relocation within 20 minutes of the company’s location. Healthcare coverage (including family-friendly options), pension contributions, professional development support, and 25 days of PTO, in addition to public holidays. Ownership of a key technical domain, with significant vertical and/or horizontal growth opportunities, based on performance and individual drive. Reimbursement of 50% of the public transport subscription fee. A high-paced, multicultural (with 10 nationalities), and engineering-led environment.
Location: San Francisco, California
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
This is NOT a new grad role! This role is for candidates with 0-2 YOE and can start full time right away.
ABOUT THE ROLE
As an engineer at Notion, you’ll help shape core user experiences and accelerate how people discover value in Notion. You'll tackle meaningful challenges with increasing autonomy, crafting code that millions of users will experience. You'll take ownership of projects that matter, make critical technical decisions, and contribute your unique perspective to our product vision. Working alongside passionate experts across design, product, and data, you'll help shape the future of how people work.
We're looking for an Early Career AI Engineer to join as a strategic partner in shaping Notion's AI vision. You'll work on cutting-edge AI-powered features, leveraging LLMs, embeddings, and other AI technologies to make Notion more intelligent and capable.
This role may be aligned to one of multiple AI-focused teams at Notion. Depending on team match and business needs, you could work on:
- AI product engineering: building model-powered features end-to-end (UX, APIs, retrieval, orchestration, quality, and reliability)
- Model & systems engineering: improving model integration and performance (latency, cost, safety, robustness) and building the infrastructure that supports model serving and experimentation
- Evaluation & quality (evals): creating evaluation frameworks and automated/ human-in-the-loop testing to measure and improve model and product quality
WHAT YOU’LL ACHIEVE
- Partner with your team to prototype and ship an AI-powered product improvement
- Own a scoped productionization project: integrate a new model/technique into an existing workflow, add monitoring + guardrails, or improve latency/cost/reliability.
- Contribute to evals and iteration loops: build or extend an evaluation set, run experiments, analyze results, and translate learnings into product or system changes.
SKILLS YOU'LL NEED TO BRING
- You have less than two years of engineering experience. You have solid fundamentals in data structures, algorithms, and distributed systems, with a customer-minded, pragmatic approach to solving problems.
- Expertise building and prototyping: You’re excited to build and iterate quickly, and you’ve started exploring AI/ML through coursework, projects, internships, or hackathons. You’re comfortable learning how different parts of a product fit together (UI, APIs, data), have some familiarity with relational databases like Postgres or MySQL, and can take an idea from prototype to a working feature with guidance.
- Thoughtful problem-solving: You approach problems holistically, starting with a clear and accurate understanding of the context. You think about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity successfully, decompose complex problems into clean solutions, while also balancing the business impact of what you’re building.
- Impact-driven approach to technology: You see technologies as tools to achieve user impact rather than ends in themselves. You care more about building successful systems that solve real problems than about using specific tech stacks or following trends. You stay current with the latest tools like Cursor, Claude Code, and other AI-assisted development environments, you're pragmatic about choosing the right tool for the job, focusing on what delivers the most value to users and the business.
- Proactive communication and high agency: You own your work, communicating clearly about progress and blockers. You don't wait for instructions for every step but rather show initiative in identifying what needs to be done and driving projects forward. You ask questions when needed while independently finding solutions to problems.
NICE TO HAVES
- You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, and Elasticsearch.
- You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship.
- You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco and New York, the estimated base salary range for this role is $130,000-$150,000.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: San Francisco, California
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
This is NOT a new grad role! This role is for candidates with 0-2 YOE and can start full time right away.
ABOUT THE ROLE
As an Early Career Software Engineer at Notion, you’ll help shape core user experiences and accelerate how people discover value in Notion. You'll tackle meaningful challenges with increasing autonomy, crafting code that millions of users will experience. You'll take ownership of projects that matter, make critical technical decisions, and contribute your unique perspective to our product vision. Working alongside passionate experts across design, product, and data, you'll help shape the future of how people work.
We’re hiring early career engineers to join us across several teams at Notion. Your recruiter will partner with you to find the team that aligns best with your interests and where you can make the highest impact.
WHAT YOU’LL ACHIEVE
- Plan, build, and ship product features from conception to launch, then iterate based on insights and customer feedback.
- Improve performance, reliability, and quality of key experiences used by millions of users and thousands of organizations.
- Run experiments that drive activation, retention, collaboration, and revenue, partnering with design, data science, and research.
- Build internal tools and platform improvements that help all engineers ship quickly and safely.
- Contribute to team norms, code quality, and a culture of learning and thoughtful tradeoffs.
AREAS YOU MIGHT WORK ON
- Core Notion product features: Help develop, improve, and maintain features for our flagship product, focusing on the editor, databases, sharing, or other key areas that power millions of workflows.
- AI and automation: Help develop and integrate intelligent features that make Notion more powerful, contextual, and efficient for our users.
- Growth and activation: Work on features that help new users discover Notion's value, improve onboarding experiences, and increase user engagement.
- Platform and infrastructure: Contribute to the systems that power Notion's backend services, ensuring reliability, scalability, and performance as our user base grows.
SKILLS YOU'LL NEED TO BRING
- You have less than two years of engineering experience. You have solid fundamentals in data structures, algorithms, and distributed systems, with a customer-minded, pragmatic approach to solving problems.
- Thoughtful problem-solving: You approach problems holistically, starting with a clear and accurate understanding of the context. You think about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity successfully, decompose complex problems into clean solutions, while also balancing the business impact of what you’re building.
- Impact-driven approach to technology: You see technologies as tools to achieve user impact rather than ends in themselves. You care more about building successful systems that solve real problems than about using specific tech stacks or following trends. You stay current with the latest tools like Cursor, Claude Code, and other AI-assisted development environments, you're pragmatic about choosing the right tool for the job, focusing on what delivers the most value to users and the business.
- Proactive communication and high agency: You own your work, communicating clearly about progress and blockers. You don't wait for instructions for every step but rather show initiative in identifying what needs to be done and driving projects forward. You ask questions when needed while independently finding solutions to problems.
NICE TO HAVES
- You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, and Elasticsearch.
- You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship.
- You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated salary range for this role is $130,000 - $150,000
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
In this role you will:
— Conduct student meetups, workshops, and Q&A sessions, and give presentations on cool technologies that highlight JetBrains tools.
— Promote internship opportunities and organize the presentation of internship projects.
— Coordinate JetBrains’ participation in campus career events, hackathons, etc.
— Set up a student club and mentor peers regarding the use of JetBrains tools.
— Collaborate with fellow JetBrains campus ambassadors.
We expect that you:
— Are currently enrolled in Computer Science or a related technical field, with a background in software development.
— Are familiar with and have a passion for JetBrains tools, and are eager to share that passion with others.
— Have excellent communication and public speaking skills.
— Experience planning events or leading a team would be a plus.
With this position, you will gain:
— An opportunity to develop your technical, leadership, and communication skills.
— Access to a network of product and technology experts from JetBrains who can mentor you and share their expertise.
— Priority when choosing an internship position at JetBrains.
— Dedicated support from JetBrains to help you educate and expand your community (for example, exclusive swag, financial support, and the promotion of your events via JetBrains channels).
What you'll do:
— Part-time position based at the university campus.
Who you are:
— As listed in “We expect that you” section above.
Location: New York; San Francisco
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
We're building a platform that covers the whole life of an LLM: training it, deploying it, and observing it in production. We already run multi-node training, elastic inference, sandboxes, and distributed volumes, and we control the infrastructure underneath. We’re looking for research depth in post-training to sit alongside our systems and product work.
WHAT YOU'LL DO:
We are looking for research scientists with a strong track record in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our research team. This role is well suited to candidates interested in improving existing methods and developing new techniques for large-scale model training, optimization, and inference, extending models to long-context and long-horizon tasks, and improving inference-time efficiency, reliability, and robustness in high-stakes real-world deployments.
PREFERRED QUALIFICATIONS:
- A PhD in computer science, machine learning, or a related field. Candidates with a master’s degree and significant research or industry experience will also be considered.
- A demonstrated record of research accomplishments in reinforcement learning, machine learning, foundation models, or related fields.
- Experience with large-scale training and inference infrastructure, including distributed systems and multi-node GPU clusters.
- Experience developing, training, optimizing, or deploying state-of-the-art large-scale models.
- First-author publications at leading venues such as NeurIPS, ICML, ICLR, CoRL, CVPR, UAI, JMLR, or TMLR.
- A mission-driven mindset and a strong desire to translate research advances into meaningful product impact.
- A collaborative spirit and the ability to work effectively across research and engineering teams.
Location: New York; San Francisco
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
Most of the value of owning a model shows up at serving time. We're building a platform that covers the whole life of an LLM -- train it, deploy it, observe it -- and inference is where teams feel the difference every day. We already run elastic inference, sandboxes, distributed volumes, and multi-node training, and we control the infrastructure underneath, so the serving stack is ours to shape rather than something we resell.
You will do hands-on inference research at Modal, working with the research lead to pick high-impact bets and owning them end to end. The bets that matter most are the ones that move cost per token and tail latency on the workloads our customers actually run.
WHAT YOU'LL DO:
- Own end-to-end inference research bets: speculative decoding, disaggregated prefill/decode, quantization (FP8, INT4), KV-cache and memory management, autoscaling for spiky serverless traffic, and whatever else the research agenda calls for.
- Train custom speculators against real production traffic and feed what you learn back into target models -- acceptance length is the metric that decides the win.
- Work directly with customers alongside our Forward Deployed Engineers to deploy and tune models, and bring what you learn back into the research.
- Carry and expand collaborations with outside research labs, for example:
- our work with ZLab on DFlash https://modal.com/blog/spec-is-all-u-need, a speculator design built on KV injection and blockwise parallel drafting
- our work with SGLang on specdec https://modal.com/blog/host-overhead-inference-efficiency and multimodal inference https://modal.com/blog/boosting-multimodal-inference-performance-by-greater-than-10-with-a-single-python-dictionary performance
- our work on Flash Attention 4 kernels https://modal.com/blog/flash-attention-4-faster
- Work with engineering to turn frontier serving techniques into products: primitives for disaggregation, fast weight refresh for models that keep training after deployment, observability for quality and latency in production, or even a next-generation inference engine.
- Help shape the research agenda. None of the above is prescriptive; your work will help guide our future.
REQUIREMENTS:
- A research-leaning or systems background in LLM inference, with work you can point to.
- Fluency in the LLM serving stack, from kernels and quantization up to schedulers and autoscaling.
- A record of shipping research or systems that other people build on, whether in a lab or in industry.
- The drive to independently take a research bet from idea to result, working in the open with the rest of the team.
- Ability to work in-person, in our NYC or San Francisco office.
Location: United States
Mattermost is the leading collaborative workflow platform for defense, intelligence, security, and critical infrastructure. Trusted by the U.S. Department of War and Fortune 500s, our platform runs on-premises and in private clouds, delivering secure messaging, file sharing, workflow automation, audio/screenshare, and project management—all with full data and operational control. Mattermost powers high-stakes workflows across mission planning, real-time, real-world operations, DevSecOps, incident response, and cyber defense—enabling secure collaboration from tactical edge and DDIL environments to enterprise HQ. Teams operate across web, desktop, and mobile, with embedded interoperability for Microsoft Teams, Outlook, and Microsoft 365.
To learn more, visit
www.mattermost.com
Mattermost is hiring a
GRC Manager
to own and modernize our governance, risk, and compliance program across both federal and commercial markets.
This is a program-ownership role for someone who brings a modern, engineering-led approach to compliance — harnessing GRC engineering and AI to reduce manual effort and scale our programs. You will own Mattermost's compliance posture end to end, accountable for our federal readiness and commercial certifications, and you will modernize how we run them: automated, continuously monitored, and AI-native.
You will do the hands-on compliance work while coordinating across internal stakeholders in engineering, infrastructure, and IT who implement controls, the external auditors who assess them, and the customers whose trust rests on the outcome. As the program scales, you will grow and lead the team behind it.
What You'll Do
Own and modernize Mattermost's compliance programs across federal and commercial markets
Lead readiness, certification, and surveillance cycles across both programs
Operate the risk management program end to end — from identification and assessment through treatment and acceptance
Own the third-party and vendor risk management program, including security assessments and supply chain risk
Apply GRC engineering and automation to replace manual evidence collection with continuous controls monitoring
Build AI-native workflows to accelerate and improve the quality of recurring compliance work
Maintain the control library, system security plans, POA&Ms, and policies
Coordinate external audits from scoping through remediation
Accelerate deal cycles by owning customer security questionnaires, trust center content, and reusable compliance artifacts
Grow and lead the GRC team as the program scales
What We're Looking For
Bachelor's degree in computer science, information security, or related field — or significant professional GRC and compliance experience
Proven senior-level experience in governance, risk, and compliance, security compliance, or IT audit, including direct ownership of a certification or authorization program
Experience with U.S. Federal standards including CMMC and NIST series (800-171 / 800-53)
Experience with ISO 27001 and SOC 2 Type II
Experience operating a formal risk management program
Experience running a third-party and vendor risk management program
Experience owning customer-facing security assurance, including security questionnaires and trust center content
Working knowledge of security controls for cloud environments (AWS, GCP, and/or Azure)
Excellent written and verbal communication skills
Nice to Have
Professional GRC certifications such as CISA, CRISC, CISM, CISSP, or CIPP
Experience working with AI platforms such as Claude, OpenAI, or Gemini
Experience with compliance automation tooling such as Vanta or Drata, and continuous controls monitoring
Direct experience applying AI or LLM-based workflows to GRC tasks
Proficiency in no-code automation or scripting languages
Past success in critical infrastructure industries including defense, cybersecurity, communications, or manufacturing
How Success Is Measured
CMMC Level 2 gap assessment and readiness roadmap delivered within first 90 days
SOC 2 Type II and ISO 27001 audit cycles completed on time without slippage
Manual evidence collection replaced with automated, continuously monitored controls
Customer security questionnaires and trust center content maintained to unblock deal cycles
GRC team grown and operating as a scalable, program-driven function
Why Mattermost
Mission-driven work: Your contributions directly support the organizations and missions that depend on secure, reliable collaboration
Remote-first culture: Work from anywhere with a globally distributed, high-trust team built for autonomy and ownership
Open source at the core: Be part of a vibrant developer community shaping the future of secure collaboration
AI-forward environment: We actively adopt and build AI-enabled workflows — you'll work with and on cutting-edge tooling
Unique scope: Own the compliance program end to end across both federal and commercial markets at a high-growth Series B company
Target Salary Range: $139,254-$168,318
Mattermost takes a market-based approach to pay and pay may vary depending on your location. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.
Mattermost offers a remote-first work environment with medical, dental, and vision coverage. You’ll also receive unlimited PTO plus company holidays, a work from home stipend, an annual learning and development budget for conferences, certifications, and courses, paid parental leave for all parents, and a 401(k) plan.
U.S. Eligibility & Compliance
This role requires U.S. citizenship. Candidates must be located in the United States and eligible to obtain and maintain a U.S. government security clearance. For more information visit
Security Clearances — United States Department of State
Applicants must meet eligibility requirements for access to export-controlled information as defined by U.S. export control laws, including EAR and ITAR. For more information visit the
Bureau of Industry and Security
and the
Directorate of Defense Trade Controls
.
Mattermost is an EEO Employer, we are a remote-first, open-source company.
We are continually working to expand our hiring in more countries and regions, ensuring compliance with local laws and regulations, which takes time.
Mattermost values your unique perspective—we welcome all applicants. We encourage individuals from all backgrounds to apply and are committed to assessing candidates based on their skills and qualifications. We do not tolerate discrimination against staff or applicants based on race, religion, national origin, age, disability, pregnancy status, veteran status, or other personal characteristics.
If you require accommodations during the interview process, please let us know—we’re happy to assist.
Location: San Francisco, California; New York, New York
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE
Imagine yourself in the 1970s or 80s thinking through how computing should look and feel for people who had never seen one before. That's what we're trying to do at Notion — make software that feels timeless, with the craftsmanship of German cameras, playfulness of Japanese toys, and mass appeal of Coca-Cola. We have no end of fascinating challenges that can only be solved by someone with innate product & UX sense, technical aptitude, great taste, and impeccable craft.
This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE:
- Design product concepts that balance vision, craft, speed, and business potential.
- Craft every detail of new product features, from idea to UX to pixel-perfect execution.
- Run projects end to end with engineers to drive your vision to the ship line.
- Partner closely with our Customer Experience, Sales, and Customer Success teams to understand what each of our diverse user segments need, want, and love about Notion. Use this data and acquired intuition to prioritize, plan, and scope our product roadmap.
- Work with Marketing to devise new ways to tell great stories throughout the user lifecycle, and across our site, product, help guides and other channels.
- Create new patterns that are intuitive, practical, and convergent. Evolve our design system intentionally as we scale.
SKILLS YOU'LL NEED TO BRING:
- You have well-rounded skills and experience to run projects independently end to end. 5+ years of working experience.
- You seek to understand the needs of customers then explore and advocate for the strongest user experiences to solve their problems
- You enjoy untangling vague conceptual problems and have a sharp intuition for the most accessible mental models and flows, so users can immediately start gaining value out of the product.
- You create clear, intuitive, and visually appealing human interfaces.
- You care about business needs, implications, and practicality of your designs. You don't get stuck on pretty UI or deep abstractions and can balance between craft, speed, and the bottom line.
- You have strong beliefs, loosely held. You're a good listener who collaborates well with different stakeholders. You observe and internalize all inputs and feedback to help you reach an optimal decision.
- You understand how to tell stories using both words and visuals, and strategize the best ways to drive alignment.
- You value working cross-functionally with project management, engineering, research and data — as well as design peers.
NICE TO HAVES:
- You've designed and built great tools with small teams in the past.
- You bring unique strengths and perspectives to the team. We're looking to build a diverse team where our skills and experience can complement each other.
- You've experienced the pain of fragmented tools and information silos created by them, and have a strong urge to fix it.
- You're familiar with the work of computing heroes like Douglas Engelbart, Alan Kay, Bret Victor, etc. — and understand why we're big fans.
- You are a designer who can code!
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $285,000 - $330,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528.
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Задачи:
— Проектировать и развивать весь рендер-пайплайн (PBR, HDRI/IBL, post-processing, tone mapping).
— Разрабатывать архитектуру render graph / pass system.
— Отвечать за GLB/material pipeline и систему материалов.
— Писать и оптимизировать шейдеры (WGSL / GLSL / TSL).
— Интегрировать 3D-движок в React + TypeScript приложение.
— Оптимизировать производительность, особенно на мобильных устройствах.
— Определять техническое направление и проводить code review.
Требования:
— Коммерческий опыт с vanilla Three.js (не R3F), включая WebGPU.
— Глубокое понимание WebGPU, WebGL2 и GPU pipeline.
— Уверенное владение шейдерами (WGSL / GLSL / HLSL / Metal).
— Практический опыт с PBR, HDRI/IBL, post-processing.
— Знание MRT, render targets, G-buffer, color management.
— Опыт профилирования GPU и оптимизации мобильной графики.
— Сильные навыки TypeScript, React и архитектуры приложений.
Будет плюсом:
— Render Graph.
— glTF/GLB optimization (Draco, meshopt, KTX2).
— Compute shaders, TAA, GPU-driven rendering.
— Open Source вклад в Three.js или WebGPU.
Условия:
— Полностью удаленный формат работы из любой точки мира.
— Технологически сложный продукт.
— Оплата профильного обучения, курсов (внешние и внутренние).
— Конкурентная заработная плата (по результатам технического интервью).
— Оплачиваемые отпускные дни: 36 дней в год.
— Оплачиваемые больничные.
— Приятные бонусы.
УдалённоleadГеография найма не уточнена
3 500 – 4 500 $
seniorГеография найма не уточнена
Зарплата не указана
УдалённоseniorFrance
Зарплата не указана
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