Location: Metn, Lebanon
Staff Backend Engineer - L6
The Company
Toters is an on-demand e-commerce and delivery platform that enables customers to get anything in their city with the highest level of convenience.
At Toters, technology drives everything we do. Our product teams build features that simplify customers' lives, while our engineers create scalable solutions and optimize internal processes to deliver faster and more cost-effectively. If you thrive in a high-growth startup environment and want to help reshape how people shop across the Middle East, join us.
Description
As a Staff Backend Engineer, you will be responsible for shaping and delivering large-scale, cross-team systems and initiatives that significantly impact product reliability, performance, developer productivity, and business outcomes. You will mentor and grow multiple engineers, drive technical strategy within and across teams, resolve organization-level ambiguity, and proactively raise the bar for engineering excellence.
You combine deep hands-on expertise with strong strategic thinking, owning complex domains end-to-end while influencing roadmaps, architecture standards, and team processes at a broader scale.
Key Responsibilities
Lead the design, architecture, and delivery of large, cross-system features, platforms, or infrastructure components that span multiple teams and quarters-long timelines.
Drive technical and architectural decisions for entire domains or product areas, defining long-term strategy, surfacing major trade-offs, and aligning stakeholders across engineering, product, and operations.
Own end-to-end system health: Establish observability, reliability practices, performance baselines, and incident response patterns that prevent recurring issues across services.
Mentor and coach engineers, provide career guidance, technical pairing, code/design reviews.
Identify and eliminate systemic bottlenecks in development velocity, testing, deployment, or onboarding; build shared tools, frameworks, patterns, or automation adopted team-wide or org-wide.
Champion and evolve engineering standards, best practices, and conventions; influence adoption across multiple teams through clear reasoning, documentation, and leading by example.
Increase engineering leverage by enabling other teams to move faster and more safely through better architecture, shared abstractions, technical guidance, and reusable patterns."
Collaborate deeply with product, design, legal, and operations to challenge requirements, refine scopes, assess technical feasibility/risk, and ensure compliance (e.g., privacy, KYC).
Lead architecture and design discussions at the team-of-teams level; write detailed specs, RFCs, and decision records that enable async alignment and reduce future rework.
Act as a technical escalation point during major incidents, guiding resolution across domains and preventing recurrence through post-mortems and systemic fixes.
Key Qualifications
Bachelor's degree in Computer Science or equivalent practical experience.
8+ years of hands-on software engineering experience, in backend systems at scale (preferably including PHP/Laravel in high-traffic environments).
Expert-level proficiency in backend development, OOP/SOLID/design patterns, microservices, event-driven architecture, and distributed systems principles.
Proven track record designing and owning large-scale, performant, reliable backend systems (data modeling, complex schemas, PostgreSQL/MySQL optimization, Redis caching/queuing at scale).
Deep experience with cloud infrastructure (AWS preferred), containerization, serverless, CI/CD pipelines, observability (monitoring, alerting, tracing), and incident management.
Strong leadership & influence skills: mentoring multiple engineers, driving cross-team initiatives, resolving ambiguity at org level, and building consensus through clear communication.
Excellent written & verbal English; ability to write precise technical documents, RFCs, and give constructive feedback across seniority levels.
Demonstrated impact on business/product metrics through technical leadership (e.g., reduced latency, improved uptime, accelerated delivery velocity).
Nice to Have
Experience leading migrations, platform builds, or reliability programs in high-traffic e-commerce/delivery marketplaces.
Familiarity with advanced scaling techniques (sharding, eventual consistency, CQRS, etc.).
Prior work ensuring regulatory compliance (KYC, privacy, data protection) in collaboration with non-technical teams.
Benefits
Competitive compensation.
Discounts on Toters orders.
First-class medical insurance.
Location: London, UK
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role:
Anthropic's ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems.
This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow.
Responsibilities:
Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability
Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure
Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance
Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams
Build and maintain production logging, monitoring dashboards, and evaluation infrastructure
Add new capabilities to the training codebase, such as long context support or novel architectures
Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams
Contribute to the team's institutional knowledge by documenting systems, debugging approaches, and lessons learned
You May Be a Good Fit If You:
Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems
Genuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other
Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure
Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs
Excel at debugging complex, ambiguous problems across multiple layers of the stack
Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents
Are passionate about the work itself and want to refine your craft as a research engineer
Care about the societal impacts of AI and responsible scaling
Strong Candidates May Also Have:
Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale
Contributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax)
Published research on model training, scaling laws, or ML systems
Experience with production ML systems, observability tools, or evaluation infrastructure
Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence
What Makes This Role Unique:
This is not a typical research engineering role. The work is highly operational—you'll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends.
However, this operational intensity comes with extraordinary learning opportunities. You'll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You'll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can't be easily transferred. For people who thrive on this type of work, it's uniquely rewarding.
We're building a close-knit team of people who genuinely care about doing excellent work together. If you're someone who wants to be part of training the models that will define the future of AI—and you're excited about the full reality of what that entails—we'd love to hear from you.
Location:
This role requires working in-office 5 days per week in London.
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
£260,000
—
£630,000 GBP
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role:
Anthropic's ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems.
This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow.
Responsibilities:
Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability
Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure
Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance
Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams
Build and maintain production logging, monitoring dashboards, and evaluation infrastructure
Add new capabilities to the training codebase, such as long context support or novel architectures
Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams
Contribute to the team's institutional knowledge by documenting systems, debugging approaches, and lessons learned
You May Be a Good Fit If You:
Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems
Genuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other
Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure
Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs
Excel at debugging complex, ambiguous problems across multiple layers of the stack
Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents
Are passionate about the work itself and want to refine your craft as a research engineer
Care about the societal impacts of AI and responsible scaling
Strong Candidates May Also Have:
Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale
Contributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax)
Published research on model training, scaling laws, or ML systems
Experience with production ML systems, observability tools, or evaluation infrastructure
Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence
What Makes This Role Unique:
This is not a typical research engineering role. The work is highly operational—you'll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends.
However, this operational intensity comes with extraordinary learning opportunities. You'll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You'll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can't be easily transferred. For people who thrive on this type of work, it's uniquely rewarding.
We're building a close-knit team of people who genuinely care about doing excellent work together. If you're someone who wants to be part of training the models that will define the future of AI—and you're excited about the full reality of what that entails—we'd love to hear from you.
Location:
This role requires working in-office 5 days per week in San Francisco.
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$350,000
—
$850,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, California
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?
As a MidMarket Account Executive, you will be a key member of the team leading the growth of our new business. We’re building a world-class sales organization, and the road ahead is going to be very exciting.
This is a seat at the centre of the biggest shift selling has seen in decades. You'll be selling AI agents to companies rethinking how their entire customer experience works, which means the conversations are strategic, technical and genuinely interesting. You'll also be using AI every day to run your own territory, from qualification to research to how you read a deal, so you're not just talking about the technology, you're operating on it. As a rapidly expanding business, there is a high degree of opportunity for progression, creativity, and ownership.
What will I be doing?
Evangelize AI transformation by spearheading the growth and adoption of Fin across your given territory
With access to the best internal AI tooling and enablement the market, maintain category leading and differentiating knowledge of AI as the category evolves
Manage the full sales cycle, from prospecting to close, through a highly consultative sales approach
Regardless of your segment, manage a varying volume complex 6 figure new business deals (at Fin, large and xl deals exist in every segment)
Articulate Fin's value and differentiation using the Command of the Message framework / MEDDPICC. If this is new to you, you will be trained on this leading sales methodology
Learn from sales leaders how to drive true control of your business; from QBR, territory planning and weekly / monthly forecasting.
Partner with Sales Leaders, Sales Engineers and the wider solutions team to win flagship logos in the market
Represent the voice of the customer to cross-functional partners, including R&D, Product, and Marketing
What skills do I need?
4+ years experience as an Account Executive
2+ years of SaaS experience selling similar products
Experience meeting and exceeding quota in a closing role, with a track record of selling SaaS or DBaaS
Experience, passion and success in outbound prospecting
Strong sales acumen and a general interest in the businesses you work with
Experience selling products with technical complexity or thorough implementation (bonus to have)
AI fluent and/or deep interest in AI tooling
Comfortable and energized operating and problem-solving in a fast-moving organization, working inbound and outbound opportunities across a range of industries and company sizes
Exhibits a growth mindset, intellectual curiosity, and ambition
*
Proof of eligibility to work in the United States is required.
The OTE range for candidates within the San Francisco Bay Area is $226,100 - $270,040. Actual OTE pay will depend on a variety of factors such as education, skills, experience, location, etc. The OTE pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
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: Burundi
Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world.
At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded.
LEAP Program Description
Global Solutions Ventures (GSV) – a joint-venture partnership between ZemiTek, LLC and Dexis Consulting Group – is implementing the Long-term Exceptional Technical Assistance Project (LEAP Global), a mechanism originally used by USAID to battle against infectious diseases such as malaria, HIV/AIDS, tuberculosis, neglected tropical diseases, and pandemic influenza. As of July 1, 2025, LEAP Global transitioned to the U.S. Department of State (DOS). This initiative aims to address the complex human resource challenges faced by national infectious disease programs in the USA-supported countries.
The intervention of this project is to hire and embed technical expert advisors and subject matter experts within government entities. By directly embedding the technical expertise within the national programs, LEAP provides long-term, sustainable lifesaving support to empower host governments to lead and manage key aspects of their infectious disease portfolios and improve coordination between the U.S. Government and the host country.
About the Position
The Senior Global Health Security (GHS) and Infectious Disease (ID) Advisor will support the MOH Emergency Operations Center (EOC or COUSP in French) and NACP (National AIDS Control Program) in carrying out life-saving humanitarian assistance (LHA) in full alignment with the new Presidential Executive Order (EO) directives. The primary focus of the Advisor will be technical support with a special emphasis on preventing, detecting, and responding to infectious disease threats which impact public health. The Advisor will also provide support for the National HIV response to improve capacity for PEPFAR transition.
The Senior GHS and ID Advisor will support the appropriate multi-sectoral Government Departments and Agencies - such as the Ministry of Health, Agriculture, and Environment- for the effective adoption and implementation of life saving interventions focusing on preventing, detecting and responding to infectious disease threats with public health potential, such as zoonotic diseases. The Senior GHS & Infectious Disease Advisor will identify programmatic bottlenecks and facilitate solutions through coordinated technical support and facilitation of effort through the GHS projects, Pandemic Fund and the Global Fund. The Senior GHS and ID Advisor will be based within the EOC and will also work with the NACP. The Advisor will receive direction from the Director of the EOC and as needed, from the NACP Director, who will serve as the onsite Manager/Supervisor. Familiarity with Department of State/USG programming and C/AOR experience are highly desirable as the Advisor is expected to support the implementation of the Department of State GHS and HIV portfolio. French and English fluency are required for this assignment. The Advisor will report to the U.S. Department of State on a weekly and monthly basis.
Responsibilities
Support multisectoral ministries in effective delivery of life-saving humanitarian assistance (LHA) through utilization of domestic and donors’ (e.g. the Pandemic Fund, Global Fund when relevant such as COVID-19 response funds).
Assist the relevant ministries with effective delivery of LHA GHS services, including but not limited:
community-based active surveillance,
systems capacity for detecting priority diseases/threats,
data systems for monitoring, analyzing, and reporting on threats,
infection prevention and control (IPC), including commodities and WASH in healthcare facilities,
case management; and Emergency Management including Emergency Operating Centers (EOC) and Point of Entry Screening,
Risk Communication and Community Engagement,
Emergency outbreak response.
Provide technical support and actively engage with field work to implement programmatic and response interventions at national and sub-national levels.
Assist in monitoring the progress of GHS program implementation and provide recommendations for improvements of service delivery.
If relevant for the country, review and analyze performance reports submitted to the Pandemic Fund, Global Fund (GF), and other partners.
Help organize regular discussions among the multisectoral stakeholders and partners to ensure alignment of technical approaches in the respective GHS portfolio.
Provide support to the appropriate multisectoral ministries in identification of performance gaps, potential barriers and bottlenecks, and facilitate consensus on targeted interventions to improve performance on key indicators attributable to:
reduction in incidence and mortality for epidemic and pandemic prone diseases;
strengthening systems to prevent, detect, and respond to infectious disease threats;
rapid and effective responses to infectious disease outbreaks which are threats for public health.
Support the implementation and expansion of best practices in GHS and outbreak response nationwide.
Support MOH and other relevant Ministries in routine review of service delivery processes and outcomes.
Promote the dissemination of best practices and effective models nationwide.
Promote prioritized interventions in effective community-based active surveillance, strengthening systems capacity for detecting priority diseases/threats, and data systems for monitoring, analyzing, and reporting on threats;
Support of the adoption of infection prevention and control (IPC), including commodities and WASH in healthcare facilities; case management;
Support and strengthen Emergency Management including Emergency Operating Centers (EOC or COUSP in French) and Point of Entry Screening; Risk communication.
Support the relevant Ministries to rapidly and accurately report infectious diseases threats to the relevant, domestic and international system– such as the International Health Regulations (IHR) and World Animal Health Information System (WAHIS) for quick responses to pandemic threats.
Assist the relevant multisectoral Ministries with emergency outbreak responses as needed.
Assist the relevant multisectoral Ministries to achieve the relevant GHS related targets including the Joint External Evaluation (JEE); IHR States Parties Self-Assessment (SPAR); and the Pandemic Fund Framework which includes reporting on the 7-1-7 target (7 days to detect, 1 day to report, 7 days to complete the initial response)
Assist and provide information to the Department of State to prepare U.S. Government workplans and reports.
Support the relevant Ministries in effective utilization of Pandemic Fund grants; other donors’ resources, and emergency outbreak responses efforts.
Provide technical support to develop Pandemic Fund grant applications and support grant implementation review to ensure effective grant implementation and avoid duplication with US Government funded projects.
Consult with relevant stakeholders on required technical assistance.
Assist in monitoring the progress of grant implementation.
Review and analyze performance reports submitted to the Pandemic Fund and other partners.
Help organize regular discussions among the relevant multisectoral stakeholders, Ministries, and donors, and DOS to ensure alignment of technical approaches in the respective GHS portfolios.
Support emergency outbreak response including assisting with mobilizing resources, coordination of efforts, and technical support for efforts to contain and respond to the outbreak.
Support the National AIDS Control Program (NACP or PNLP in French and other stakeholders) to improve the Government of Burundi’s capacity for PEPFAR transition.
Provide technical support for the district oversight approach to improve the MOH’s capacity to oversee and delivery essential HIV services to reach and maintain HIV epidemic control
Provide technical support for streamlining of health systems approaches and strategies (e.g. laboratory, reporting, supervision and training) in the context of reduced resources and preparation for PEPFAR transition.
Consult with relevant stakeholders on required technical assistance.
Communications:
Regular conference calls with multisectoral stakeholders, US Embassy and DOS/Washington to review progress, discuss activities and address emerging issues.
The Senior GHS and ID Technical Advisor should provide information and avail him/herself for calls/meetings with the US Embassy as requested.
The Advisor will provide monthly reports to US Embassy/U.S. Department of State
REPORTING:
The Senior Advisor will provide a detailed monthly report to the U.S. Department of State, submitted by the 5th day of the following month. Additionally, the Advisor will submit a weekly progress report to the U.S. Department of State (and participate in weekly calls) to include a short paragraph about main successes for that week.
Qualifications
Advanced degree (MPH, MD, PhD, DVM, or equivalent) in public health, epidemiology, medicine, or a related field.
Minimum of 7 years of technical and programmatic experience in global health security and infectious diseases.
Demonstrated understanding of USG program implementation, USG interagency coordination, and donor landscape.
Knowledge of the host country and government institutions and bureaucratic processes, policies, and regulations. This entails high-level knowledge of host government laws, policies, procedures, and institutional doctrines.
Knowledge of research and analysis techniques to successfully study complex subjects and issues related to assigned program area.
Familiarity with international frameworks such as IHR 2005, JEE, SPAR, UNAIDS and HIV epidemic control metrics and USG’s LHA guidance.
Demonstrated experience working collaboratively across government ministries, donors, and implementing partners.
Strong written and verbal communication skills in English and French.
Preferred Qualifications
Previous experience with USG-funded programs.
Experience using digital platforms for surveillance, health information management, and emergency coordination.
Knowledge of the One Health approach and integration of human, animal, and environmental health efforts.
Benefits
Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for
full-time, US-based
positions only. These benefits include:
Medical and prescription drug coverage:
A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents.
Dental insurance:
Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits.
Company-paid vision insurance:
Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis.
Employer-funded health reimbursement arrangement (HRA):
Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses.
Company-paid life and disability insurance:
Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage.
Optional supplemental insurance:
Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents.
Employee Assistance Program (EAP):
Company-paid access to confidential counseling and legal and financial support resources for employees and their families.
Health and wellness resources:
Virtual care, behavioral health resources, and wellness programs available through the medical plan.
Benefits assistance:
Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center.
Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements.
Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you?
If you are passionate about this opportunity, apply now!
Only those applicants who meet the above criteria will be contacted for interview.
Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.
Location: Gold Coast, Australia
About Intellect
At Intellect, we’re a leading global mental health tech company in 100+ markets worldwide. We partner with employers, insurers, and governments to deliver coaching, counselling, and therapy services across Australia.
We’re expanding our EAP provider network and hiring coaches, counsellors, and psychologists. Whether you’d like to supplement your private practice or take on a full-time career pathway, Intellect offers flexibility to fit your lifestyle.
Why Join Us?
Flexibility in employment models: freelance, contracted, part-time, or full-time — so you can maintain your own private caseload/clients while expanding with Intellect
Competitive compensation & attractive perks
Minimal admin burden — we handle scheduling, billing, client matching
Regular supervision & CPD included
Diverse client base — from local employees to regional/global Fortune 500 companies
Additional opportunities: CISP (Critical Incident Stress Programme), webinars, in-person seminars, clinical leadership
What You’ll Do
Provide 1:1 telehealth and/or onsite coaching, counselling, or therapy
Deliver CISP (Critical Incident Stress Programme) virtually or onsite as needed
Facilitate webinars and in-person seminars (optional)
Support employees with wellbeing, stress, and resilience
Collaborate with Intellect’s internal clinical team to improve EAP programs
Requirements
Must Haves
1. Coaches
Bachelor’s/Master’s in Psychology, Coaching, Counselling, HR or related field
Certification with a recognised coaching body (e.g., ICF, ACA, PACFA coaching track)
1–3 years of coaching experience in wellbeing, workplace performance, or leadership coaching
2. Counsellors & Clinical Psychologists
Counsellors:
Master’s in Counselling, Counselling Psychology, or Social Work
Active membership/registration with one of:
ACA (Australian Counselling Association)
PACFA (Psychotherapy & Counselling Federation of Australia)
1–3 years of supervised counselling experience
Clinical Psychologists:
Master’s in Clinical Psychology from an APAC-accredited program
General registration with AHPRA (Psychology Board of Australia)
Area of Practice Endorsement in Clinical Psychology preferred (or in progress via Registrar Program)
1–3 years of supervised clinical practice
Nice to Haves
Experience working with First Nations / Aboriginal & Torres Strait Islander communities
Background in managerial or leadership support (e.g., coaching managers, HR advisory)
Prior EAP or workplace counselling experience
Additional languages
Flexibility for occasional onsite sessions
Willingness for Police Check and/or Working With Children Check (not mandatory, only if requested by some clients)
Eligibility/willingness to obtain a Medicare provider number (not mandatory, only if required by engagement type)
Benefits
Let’s Talk
This is more than a job. It’s your chance to:
Work with a global provider network
Broaden your clientele base beyond local users
Grow your career outside of sessions through research, content, and webinars
Access supervision & CE most EAPs don’t provide
If you’re ready to make a meaningful impact and expand your practice with flexibility, we’d love to hear from you. Apply today and join Intellect in transforming workplace mental health across the country and beyond.
Location: Adelaide, Australia
About Intellect
At Intellect, we’re a leading global mental health tech company in 100+ markets worldwide. We partner with employers, insurers, and governments to deliver coaching, counselling, and therapy services across Australia.
We’re expanding our EAP provider network and hiring coaches, counsellors, and psychologists. Whether you’d like to supplement your private practice or take on a full-time career pathway, Intellect offers flexibility to fit your lifestyle.
Why Join Us?
Flexibility in employment models: freelance, contracted, part-time, or full-time — so you can maintain your own private caseload/clients while expanding with Intellect
Competitive compensation & attractive perks
Minimal admin burden — we handle scheduling, billing, client matching
Regular supervision & CPD included
Diverse client base — from local employees to regional/global Fortune 500 companies
Additional opportunities: CISP (Critical Incident Stress Programme), webinars, in-person seminars, clinical leadership
What You’ll Do
Provide 1:1 telehealth and/or onsite coaching, counselling, or therapy
Deliver CISP (Critical Incident Stress Programme) virtually or onsite as needed
Facilitate webinars and in-person seminars (optional)
Support employees with wellbeing, stress, and resilience
Collaborate with Intellect’s internal clinical team to improve EAP programs
Requirements
Must Haves
1. Coaches
Bachelor’s/Master’s in Psychology, Coaching, Counselling, HR or related field
Certification with a recognised coaching body (e.g., ICF, ACA, PACFA coaching track)
1–3 years of coaching experience in wellbeing, workplace performance, or leadership coaching
2. Counsellors & Clinical Psychologists
Counsellors:
Master’s in Counselling, Counselling Psychology, or Social Work
Active membership/registration with one of:
ACA (Australian Counselling Association)
PACFA (Psychotherapy & Counselling Federation of Australia)
AASW (Australian Association of Social Workers)
1–3 years of supervised counselling experience (internship counts if part of licensure pathway)
Clinical Psychologists:
Master’s in Clinical Psychology from an APAC-accredited program
General registration with AHPRA (Psychology Board of Australia)
Area of Practice Endorsement in Clinical Psychology preferred (or in progress via Registrar Program)
1–3 years of supervised clinical practice (internship counts if accredited/licensure pathway)
Nice to Haves
Experience working with First Nations / Aboriginal & Torres Strait Islander communities
Background in managerial or leadership support (e.g., coaching managers, HR advisory)
Prior EAP or workplace counselling experience
Additional languages
Flexibility for occasional onsite sessions
Willingness for Police Check and/or Working With Children Check (not mandatory, only if requested by some clients)
Eligibility/willingness to obtain a Medicare provider number (not mandatory, only if required by engagement type)
Benefits
Let’s Talk
This is more than a job. It’s your chance to:
Work with a global provider network
Broaden your clientele base beyond local users
Grow your career outside of sessions through research, content, and webinars
Access supervision & CE most EAPs don’t provide
If you’re ready to make a meaningful impact and expand your practice with flexibility, we’d love to hear from you. Apply today and join Intellect in transforming workplace mental health across the country and beyond.
Location: 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?
Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.
We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test.
We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy.
What will I be doing?
Play an active role in hiring, mentoring and career development of other engineers
Raise the bar for technical standards, performance, reliability, and operational excellence
Identify areas where ML can create value for our customers
Identify the right ML framing of product problems - Working with teammates and Product and Design stakeholders
Conduct exploratory data analysis and research - Deeply understand the problem area
Research and identify the right algorithms and tools - Being pragmatic, but innovating right to the cutting-edge when needed
Perform offline evaluation to gather evidence an algorithm will work
Work with engineers to bring prototypes to production
Plan, measure & socialize learnings to inform iteration
Partner deeply with the rest of team, and others, to build excellent ML products
What skills might I need?
5-8 years applied ML experience
Previous background in a senior/staff role (data science, software development or academic)
Significant, demonstrated impact that your work has had on the product and/or the teams
Strong programming skills
Experience as the primary technical leader for a team
Strong communication skills, both within engineering teams and across disciplines.
Comfort with ambiguity
Typically have advanced education in ML or related field (e.g. MSc)
Scientific thinking skills
Bonus skills & attributes
Track record shipping ML products
PhD or other experience in a research environment
Deep experience in an applicable ML area - E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering
Strong stats or math background
Visualization, data skills, SQL, matplotlib, etc.
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: 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?
Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.
We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test.
We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy.
What will I be doing?
Identify areas where ML can create value for our customers
Identify the right ML framing of product problems
Working with teammates and Product and Design stakeholders
Conduct exploratory data analysis and research
Deeply understand the problem area
Research and identify the right algorithms and tools
Being pragmatic, but innovating right to the cutting-edge when needed
Perform offline evaluation to gather evidence an algorithm will work
Work with engineers to bring prototypes to production
Plan, measure & socialize learnings to inform iteration
Partner deeply with the rest of team, and others, to build excellent ML products
What skills might I need?
Broad applied machine learning knowledge
3-5 years applied ML experience
Practical stats knowledge (experiment design, dealing with confounding etc)
Intermediate programming skills
Strong communication skills, both within engineering teams and across disciplines.
Comfort with ambiguity
Typically have advanced education in ML or related field (e.g. MSc)
Scientific thinking skills
Bonus skills & attributes
Track record shipping ML products
PhD or other experience in a research environment
Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering
Strong stats or math background
Visualization, data skills, SQL, matplotlib, etc.
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: New York; San Francisco
Workplace: OnSite
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 looking for Forward Deployed Engineers on our engineering team who want to work at the intersection of deep infrastructure work and direct customer impact. As an FDE, you’ll partner with leading AI companies and foundation labs on cloud architecture, networking, storage, containerization, sandboxing, and more, helping them design and ship production infrastructure on Modal’s platform.
The FDE team today includes world-class software engineers, computational scientists, ML engineers, and former founders. We’re looking for people with strong engineering fundamentals, deep curiosity across the infrastructure stack, and energy for working directly with customers on hard problems.
WHAT YOU’LL WORK ON:
- Work hands-on with companies like Suno, Lovable, Cognition, and Meta to architect and deploy massive-scale production workloads on Modal
- Lead technical discovery and architecture sessions with prospective and existing customers
- Architect migration paths from existing cloud infrastructure (AWS, GCP, Azure) to Modal’s serverless platform
- Collaborate with Modal’s product and sales teams, contributing to the platform as both an engineer and a product stakeholder
- Build trusted relationships with technical leaders (CTOs, VPs of Engineering, ML leads) at companies doing frontier AI work
- Conduct technical demos, experiments, and proofs of concept that make Modal’s infrastructure advantages tangible
YOU MAY BE A FIT IF:
- You have 3+ years of professional software engineering experience
- You have hands-on experience with cloud platforms (AWS, GCP, Azure), including compute, storage, networking, and container orchestration (Docker, Kubernetes)
- You’re familiar with distributed systems architecture, data pipelines, and Infrastructure as Code (Terraform, Pulumi, CloudFormation)
- You’re a strong communicator who can go deep on systems architecture with an infrastructure team and clearly articulate tradeoffs to technical leadership
- You have a genuine interest in working directly with customers: you find it energizing to understand someone else’s problem and help them solve it
- You’re willing to work in person in New York City, San Francisco, or Stockholm
NICE-TO-HAVE:
- Experience leading large-scale migration efforts, open-source contributions, or side projects you’re proud of
Location: New York; San Francisco; London
Workplace: OnSite
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 hiring an Enterprise Account Executive to accelerate Modal’s growth with the world’s most innovative AI companies. This is a high-impact role where you’ll own the full sales cycle—from building pipeline to closing large, strategic enterprise deals. You’ll partner directly with our founders, engineering, and product teams to help customers harness Modal’s infrastructure to train, deploy, and scale AI applications.
You’ll be expected to operate as a builder: developing new relationships, shaping our GTM motion, and serving as the voice of the customer inside Modal. The ideal candidate is both technically curious and commercially driven—equally comfortable in a room with C-level executives and with machine learning engineers. In this role, you will:
- Drive new business by generating pipeline, negotiating, and closing complex enterprise deals
- Build deep, trusted relationships with technical and executive stakeholders at leading AI companies
- Run proof-of-concepts and pilots in close collaboration with our solutions and engineering teams
- Expand existing accounts by identifying growth opportunities and helping customers scale their workloads
- Bring structured customer feedback to influence Modal’s product roadmap and GTM strategy
- Contribute to the foundation of Modal’s sales process, culture, and playbooks as we scale the team
REQUIREMENTS:
- 7–10+ years of enterprise software sales experience, ideally in infrastructure, ML/AI, or developer-focused platforms
- Track record of consistently exceeding $1M+ annual quotas and closing six- and seven-figure enterprise deals
- Strong technical acumen—able to communicate infrastructure and AI concepts with both engineers and executives
- Experience leading proof-of-concepts and managing complex procurement processes
- Excellent communication, negotiation, and relationship-building skills
- Comfortable in an early-stage, fast-moving environment; excited to help shape systems and processes from the ground up
- Ability to work in-person from our office 5 days a week
Location: Sunnyvale, CA; Menlo Park, CA
Workplace: onsite
OVERVIEW
Welo Data is looking for a skilled Data Analyst to join our team and contribute to advancing AI technologies. This role offers a unique opportunity to engage directly with cutting-edge AI products, supporting the refinement and performance of machine learning models through precise data analysis and quality assurance.
Project Details
Job Title: Data Analyst
Location: Bay Area, CA (Onsite)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee
Must have valid work authorization in the US (Welocalize does not sponsor VISAs at this time).
This role is an incredible chance to be at the forefront of AI technology, helping shape the future by testing new products, updating machine learning models, and ensuring high-quality data for impactful AI solutions.
Key Responsibilities
Test new AI products and provide actionable feedback to improve functionality and user experience.
Conduct detailed data annotation and quality assurance of natural language datasets following established guidelines.
Collaborate in updating and refining machine learning models to boost accuracy and effectiveness.
Analyze data for consistency, relevancy, and alignment with project goals.
Perform quality control to identify and report anomalies, error patterns, and discrepancies.
Use basic data analysis methods to extract insights and support continuous improvement.
Prepare clear and concise reports on findings, including observations on data quality, AI model performance, and user feedback.
Preferred Qualifications
University degree in linguistics, translation, or a related field.
3-5 years of professional linguistics experience.
Strong analytical skills with the ability to detect patterns and anomalies.
Excellent communication skills and the ability to work collaboratively in a fast-paced environment.
Adaptability to evolving priorities and project requirements.
Benefits
Paid Sick Time & Paid Holiday (combined): 15 days
Paid Holidays: Memorial Day and Labor Day
Medical Insurance (subject to eligibility requirements)
Dental Insurance
Vision Insurance
Health Savings Account (HSA)
Voluntary Life Insurance
Accident, Critical Illness, and Hospital Indemnity Insurance
Telemedicine Benefit
401(k) Retirement Plan
Employee Assistance Program
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details (Click here)
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Location: Seattle, WA
Workplace: onsite
OVERVIEW
Welo Data is looking for a skilled Data Analyst to join our team and contribute to advancing AI technologies. This role offers a unique opportunity to engage directly with cutting-edge AI products, supporting the refinement and performance of machine learning models through precise data analysis and quality assurance.
Project Details
Job Title: Data Analyst
Location: Seattle (On-site)
Hours: Full-time, 40 hours per week
Start Date: November 2025
Employment Type: W2 Full-Time Employee
Must have valid work authorization in the US (Welocalize does not sponsor VISAs at this time).
This role is an incredible chance to be at the forefront of AI technology, helping shape the future by testing new products, updating machine learning models, and ensuring high-quality data for impactful AI solutions.
Key Responsibilities
Test new AI products and provide actionable feedback to improve functionality and user experience.
Conduct detailed data annotation and quality assurance of natural language datasets following established guidelines.
Collaborate in updating and refining machine learning models to boost accuracy and effectiveness.
Analyze data for consistency, relevancy, and alignment with project goals.
Perform quality control to identify and report anomalies, error patterns, and discrepancies.
Use basic data analysis methods to extract insights and support continuous improvement.
Prepare clear and concise reports on findings, including observations on data quality, AI model performance, and user feedback.
Preferred Qualifications
University degree in linguistics, translation, or a related field.
3-5 years of professional linguistics experience.
Strong analytical skills with the ability to detect patterns and anomalies.
Excellent communication skills and the ability to work collaboratively in a fast-paced environment.
Adaptability to evolving priorities and project requirements.
Benefits
Paid Sick Time & Paid Holiday (combined): 15 days
Paid Holidays: Memorial Day and Labor Day
Medical Insurance (subject to eligibility requirements)
Dental Insurance
Vision Insurance
Health Savings Account (HSA)
Voluntary Life Insurance
Accident, Critical Illness, and Hospital Indemnity Insurance
Telemedicine Benefit
401(k) Retirement Plan
Employee Assistance Program
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
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In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Location: Yerevan, Armenia
Description
We are seeking a Data Product Owner to lead the vision, strategy, and execution of our data and AI/ML products. This role bridges business stakeholders, data engineering, and data science, ensuring that our data assets, analytics platforms, and machine learning models deliver measurable value. The ideal candidate combines product management expertise with strong knowledge of data, analytics, and applied AI/ML.
Responsibilities
Define and own the roadmap for data and AI/ML products (data platforms, APIs, dashboards, predictive models, recommendation engines, NLP/vision solutions, etc.)
Translate business goals into AI/ML-enabled product strategies that drive automation, insights, and competitive advantage
Partner with business stakeholders to identify opportunities where AI/ML and advanced analytics can create value
Act as the key interface between data scientists, engineers, and business units, aligning priorities across teams
Maintain and refine product backlog; write detailed user stories with business and technical acceptance criteria
Work closely with data scientists to design, build, and deploy ML models into production
Ensure data quality, explainability, scalability, and performance are built into all products
Oversee the lifecycle of ML models (development, deployment, monitoring, retraining)
Ensure data and AI/ML products comply with internal policies and regulatory requirements (GDPR, responsible AI, gaming/financial regulations)
Have minimal knowledge in MLOps, metadata management, and data governance
Requirements
Proven experience as a Product Owner / Product Manager in data, AI/ML, or analytics-focused products
Strong understanding of data science workflows, machine learning lifecycle
Domain knowledge in iGaming, fintech, or other data-intensive industries
Understanding of responsible AI, model explainability, and bias mitigation
Ability to identify and prioritize high-value AI/ML use cases
Familiarity with data engineering and BI platforms
Hands-on exposure to AI/ML concepts (predictive modeling, NLP, computer vision, recommendation systems)
Excellent communication and stakeholder management skills, with the ability to align technical and business teams
Experience with Agile/Scrum and product backlog management
Location: Remote: United States; Remote: Canada
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
The Render Security team is a small, dedicated team of engineers that runs all things security at Render.
- Full-Stack Security Ownership - We don't just monitor; we build. From custom security tooling to comprehensive threat assessment, we own the entire security lifecycle at Render.
- Engineering-First Approach - We are a team of engineers that understand security deeply, we create solutions that integrate seamlessly with development workflows rather than creating friction.
- Proactive - We stay ahead of threats through continuous assessment, automated monitoring, and rapid response.
By joining Render at an early stage, you will be directly involved with building out foundational security for Render and make decisions that will shape our product and company, directly impacting developers around the globe.
YOU WILL:
- Build internal tooling to enable secure access to resources (e.g., wrappers, utilities, authentication services, and proxies).
- Implement detection and monitoring systems that alert the team to high signal vulnerabilities
- Analyze and assess security issues identified through threat modeling, penetration testing, security scans and vulnerability disclosure.
- Work with developers on sensitive code paths and educate them on secure design patterns.
- Liaise with customers regarding their security and compliance needs, and in return, inform our security program.
- Communicate security risks and solutions to technical and non-technical stakeholders as part of company-wide planning and prioritization processes.
- Stay up-to-date with the latest security threats, vulnerabilities, and best practices and make recommendations for improvements to our security posture.
- Partner with product engineering teams to inform and build thoughtful security features for our customers.
- Continually ensure that our systems have appropriate authentication, authorization, and accounting with low internal overhead.
WE'RE LOOKING FOR:
- 6+ years of professional experience in software engineering or security.
- Experience designing and building secure web applications, tools, and APIs.
- Experience with vulnerability review and analysis
- Strong incident leadership and diligent response.
- Empathy toward the rest of the team and our customers
- Strong sense of ownership and ability to make pragmatic decisions about your work.
NICE-TO-HAVES:
- Detection engineering experience through implementation and maintenance of a SIEM.
- Experience with any of the technologies the Render product runs on: Go, Typescript, Kubernetes, Postgres, Terraform, Temporal.
- Experience with compliance frameworks such as SOC 2, ISO 27001, HIPAA or PCI.
- Proven expertise in exploiting common security vulnerabilities, demonstrating practical experience in identifying and leveraging vulnerabilities to assess security posture.
- Experience securing applications and systems through threat modelling and risk assessments.
- Active participation and contributions to the security community through public research, blogging, presentations, and other means.
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: San Francisco; Palo Alto; New York City
Perplexity is looking for an Applied AI Engineer to design, build, and iterate on cutting-edge agents powering our core experience in Perplexity Computer. Working in this mission critical team, you will develop frontier context layer applications - fulfilling the curiosity of millions of users across the globe.
Key Responsibilities
- Apply state-of-the-art ML and LLM techniques to solve problems spanning:
- Personalization (LLM memory, context summarization, retrieval and ranking);
- Contextual recommendations and Monetization applications
- Build frontier agent capabilities on top of Perplexity Computer
- Build auto research harness for both offline and online techniques, designing experiments and metrics that provide deep insight into quality and impact.
- Own the entire model lifecycle from research to production: data analysis, modeling, evaluation, offline/online A/B testing, and iterative improvement and build autonomous harness for agent squad to explore different problem spaces.
- Collaborate cross-functionally with engineers, PMs, data scientists, and designers to ensure our AI drives meaningful product improvements.
- Stay at the forefront of ML/AI innovation by evaluating and incorporating emerging research and algorithms into the product lifecycle.
Preferred Qualifications
- 5+ years experience building and shipping robust AI products for large-scale, user-facing or data-driven products.
- Strong software engineering skills (Python, production-quality codebases, collaborative development) and experience using agentic coding tools for large scale parallel developments.
- In-depth experience with the full AI lifecycle: data analysis, rigorous evaluation, and ongoing monitoring/improvement.
- Proven collaborator and communicator; excels in high-velocity, cross-functional teams.
- Curious, driven by end-user/product impact, and passionate about advancing the state of applied ML and AI.
- BS, MS, or PhD in Computer Science, Engineering, or related field (or equivalent experience).
Bonus Points For
- Experience with LLM context engineering or harness engineering.
- Experience in mid-training or post-training frontier open source models
- Experience in large scale user-centric and content-centric personalization challenges (user modeling, retrieval, content ranking, etc).
Location: Remote: United States; Remote: Canada
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
Billing is mission-critical to Render’s success. As a Software Engineer, Billing you’ll design, implement, and maintain systems that ensure customers are billed accurately, reliably, and transparently as we scale. You will collaborate with Finance, Product, and Customer Experience teams to integrate third-party platforms, evolve our usage-based billing systems, and deliver the infrastructure that supports Render’s growing business model.
This role requires technical depth, precision, and strong cross-functional collaboration. You’ll be the engineer others depend on to make sure usage data flows seamlessly, customers are charged correctly, and our systems are robust against complexity at scale.
YOU WILL:
- Build, operate, and improve Render’s usage-based billing systems.
- Integrate with and maintain third-party billing systems (e.g., Orb, Metronome, or similar).
- Collaborate closely with Finance, Product, and Support Engineering teams to ensure accurate, reliable billing and reporting.
- Work with large-scale databases and data pipelines to capture, transform, and reconcile usage data.
- Monitor, troubleshoot, and continuously improve billing reliability and performance.
- Contribute to architectural decisions about how billing integrates with the broader Render platform.
- Help shape internal processes, documentation, and best practices for billing operations.
WE'RE LOOKING FOR:
- 3+ years of professional experience building or operating usage-based billing systems.
- Hands-on experience integrating and working with third-party billing systems such as Orb, Metronome, Stripe, or similar platforms.
- Strong expertise in Go and production-grade databases (SQL or NoSQL).
- Ability to work effectively across functions with Finance, Customer Experience, and Product teams.
- Detail-oriented mindset with a strong sense of ownership and accountability in mission-critical systems.
- Pragmatism and problem-solving skills to balance accuracy, scalability, and developer experience.
NICE-TO-HAVES:
- Experience working in a high-growth startup or scaling environment.
- Familiarity with financial reconciliation and reporting processes.
- Background in distributed systems or event-driven architectures.
- Willingness to mentor others and help scale Render’s engineering culture.
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: San Francisco, CA • New York, NY • United States
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
The Figma Research team is hiring a seasoned researcher to support Figma’s Agentic Experiences, and actively shape and execute research to drive scale, tap new opportunities, and ensure Figma continues pushing innovation in design and production tooling. Because Figma is used by so many of the leading software companies around the world, you will be uniquely positioned to advance the state of how product development works across the entire industry.
This work sits at the center of one of the most consequential shifts in our industry: how designers and developers build software alongside AI. That means researching experiences where the output is nondeterministic and “did it work?” is a judgment call rather than a pass/fail, digging into questions about trust, verification, control, and how expectations change as what is possible changes. We are looking for someone energized by that ambiguity rather than waiting for it to resolve.
The ideal candidate brings a deep passion for research and strategy, pushing the envelope with AI led experiences, and laddering key user needs to critical product decisions and broader business impact. Partnering with Product, Design, and Engineering, you will tackle our highest impact problems, influencing company strategy for both the short- and long-term. You will own your problem space end to end and you will be expected to bring a point of view on product decisions.
This is a full time role that can be held from one of our US hubs or remotely in the United States.
What you'll do at Figma:
Help Figma grow and innovate by delivering strategic research and recommendations and materially influencing the vision and strategy for Figma’s Agentic Experiences
Partner closely with product leaders to identify opportunities, generate strategy, and define success
Break down complex business challenges into clear research plans; own the end to end research process and leverage strong storytelling skills to deliver meaningful impact to Figma’s businesses
Leverage your product mindset and storytelling chops to influence product roadmap
Move fluidly between multi-quarter strategic direction and specific, in-the-weeds recommendations a designer or PM can act on next week
Advocate for the role of Research as a strategic partner in the business process, and raise the craft bar around you through mentorship and the standards you set
We’d love to hear from you if you have:
7+ years of experience in UX research or user insights at a high growth B2B SaaS company
Direct experience conducting research on AI-powered products and features, including evaluating experiences where there is no single correct output and a point of view on how users build (or lose) trust in them over time
A track record of owning significant research programs independently, including framing the question, choosing the approach, and driving the follow-through on product recommendations
Expertise in utilizing a variety of research methodologies, including both qualitative and quantitative techniques, to address product challenges spanning from opportunity identification, concept testing, to feature iterations.
Comfort with product telemetry and analytics: able to form a hypothesis from behavioral data and partner with data science as a peer rather than outsourcing the numbers
Demonstrated success in identifying assumptions that underpin key challenges, prioritizing the most critical assumptions, and creating right sized research approaches to test those critical assumptions.
A proven track record of gaining buy in from executive stakeholders and cross disciplinary partners, transcending mere research mechanics and findings to articulate a larger user story, and the “so what” to inspire action
Ability to balance speed and rigor, pivot directions, seek out new perspectives, receive feedback, and seek solutions in creative ways.
Ability to balance user research, strategy, business insights, team input, and intuition in decision-making processes
While it’s not required, it’s an added plus if you also have:
Experience researching design tooling, developer tools, creative software, or other products where the users are themselves building things
2+ years in product design, user centric product management, product development, and/or front end engineering
Experience partnering with model or evaluation teams, and a view on how qualitative signal and offline evals inform one another
A familiarity and depth of experience using Figma’s products
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$169,000
—
$250,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
London, UK; Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents
San Francisco, CA; Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents
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Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
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