Location: USA (Remote)
Workplace: Remote
Tempo is a layer-1 blockchain purpose-built for stablecoins and real-world payments, born from Stripe’s experience in global payments and Paradigm’s expertise in crypto tech.
Tempo’s payment-first design provides a scalable, low-cost predictable backbone that meets the needs of high-volume payment use cases. Our goal is to move money reliably, cheaply, and at scale. Our north star is simplicity for users: fintechs, traditional banks, merchants, platforms, and anyone else looking to move their payments into the 21st century.
We're building Tempo with design partners who are global leaders in AI, e-commerce, and financial services: Anthropic, Coupang, Deutsche Bank, DoorDash, Mercury, Nubank, OpenAI, Revolut, Shopify, Standard Chartered, Visa, and more.
We’re a team of crypto-optimists, building the infrastructure needed to bring real, substantial economic flows onchain. We like to move fast and swing for the fences — join us!
The Role
We are building a full-time internal Red Team to continuously stress-test our own infrastructure. As a security engineer, you won't just be ticking compliance boxes; you will be writing Rust fuzzers, simulating economic attacks on our testnet, and dissecting the EVM to find edge cases in our execution client. We are looking for a builder who understands that the best way to secure a protocol is to try to break it continuously. If you have a history of topping CTF leaderboards, submitting high-severity bug bounties, or building your own security tooling because the standard ones weren't good enough—this role is for you.
Responsibilities
- Proactively hunt for vulnerabilities in the Tempo protocol, consensus engine, and bridge architecture, treating our mainnet like a continuous CTF challenge.
- Design and implement security tooling and automation in liaison with the Foundry team to catch logic errors and edge cases.
- Partner with engineering teams to review critical architecture across our codebase.
- Analyze incentives and game-theoretic risks within the protocol, such as MEV and staking dynamics, to prevent economic exploits.
Qualifications
- Fluency in reading and writing production-level code in systems languages, with a strong preference for Rust.
- Deep expertise in EVM internals, including intimate knowledge of opcodes, storage slots, gas metering, and precompiles.
- Proven track record of offensive security, such as high rankings in CTFs (e.g., Paradigm CTF), high-severity bug bounty submissions, or published research.
- Experience building custom security automation or tooling rather than relying solely on off-the-shelf scanners.
- Bleeding-edge knowledge of the latest blockchain security research, including recent hacks and how these could have been mitigated.
Attributes
- High motor
- Razor-sharp thinker with precise command of language
- Concise, evidence-based communicator
- Excellent organizational and logistical skills
- Intense curiosity and open-mindedness
- Scrappiness; willingness to roll up sleeves
- Growth mindset
Location: Lagos, Nigeria
The Treasury Manager is responsible for managing Renmoney’s liquidity, funding, and treasury risk framework, ensuring adequate liquidity to support loan growth, optimizing funding costs, and maintaining strict compliance with CBN regulations applicable to finance companies and microfinance-regulated entities (where applicable).
The role provides leadership in liquidity forecasting, scenario analysis, stress testing, funding strategy execution, ALCO support, and stakeholder management, while upholding the highest standards of integrity, governance, and regulatory compliance.
Key Responsibilities
1. Liquidity Management & Forecasting
Own and manage Renmoney’s daily, weekly, and medium-term liquidity position
Develop and maintain cash flow forecasts aligned with loan disbursement and repayment cycles
Ensure adequate liquidity buffers in line with internal policy and regulatory expectations
Monitor liquidity ratios, early-warning indicators, and funding gaps
2. Scenario Analysis & Stress Testing
Design, implement, and review liquidity stress tests and scenario analyses (base, adverse, and severe)
Assess the impact of funding withdrawals, market shocks, and portfolio stress
Recommend contingency funding actions and risk mitigation strategies
Present stress-testing outcomes and recommendations to ALCO and Senior Management
3. Funding Strategy, Markets & Execution
Develop and execute funding strategies across bank borrowings, Commercial Paper (CP), REPOs, and alternative funding structures
Demonstrate a strong understanding of money market instruments and derivative products used for funding and risk management
Monitor market conditions, pricing trends, investor appetite, and rollover risks
Optimize cost of funds within approved liquidity and risk limits
4. Commercial Paper (CP) & Capital Markets
Support the structuring, issuance, and management of Commercial Paper programmes
Liaise with issuing houses, trustees, rating agencies, and investors
Monitor CP maturity profiles and refinancing risks
Ensure compliance with regulatory, documentation, and disclosure requirements
5. Banking & Counterparty Relationship Management
Build and maintain strong relationships with deposit money banks, financial institutions, and market counterparties
Negotiate funding lines, pricing, covenants, and terms
Manage counterparty concentration and diversification
Act as Renmoney’s primary treasury interface with banking partners
6. ALCO & Management Reporting
Prepare and present comprehensive ALCO packs, including liquidity dashboards, funding analysis, stress-testing results, and market outlook
Provide clear, actionable recommendations to ALCO
Track and implement ALCO decisions and resolutions
7. Risk Management, Controls & Regulatory Compliance
Ensure full compliance with CBN regulations, including requirements applicable to Microfinance Banks and finance companies (as relevant)
Ensure adherence to internal treasury policies, approval limits, and delegation of authority
Maintain strong treasury controls, segregation of duties, and audit trails
Support internal audit, external audit, and CBN examinations
8. Stakeholder Management (Internal & Regulatory)
Collaborate effectively with Finance, Risk, Compliance, Operations, and Business Teams
Support engagement with regulators and respond to regulatory inquiries
Translate regulatory developments into operational and policy actions
9. People Management, Ethics & Leadership
Lead, mentor, and develop treasury team members
Review and validate treasury analyses and reports
Foster a culture of integrity, accountability, professionalism, and compliance
Requirements
Education
Bachelor’s degree in Finance, Accounting, Economics, or Business Administration
MBA or MSc Finance – added advantage
Professional, Regulatory & Mandatory Certifications
Mandatory / CBN-Recognised
Microfinance Certification Programme (MCP) – mandatory or in progress, in line with CBN requirements for Microfinance Bank and regulated financial institution staff
Professional Certifications (Strongly Preferred)
CIBN (Associate or Full Member)
ACI Dealing Certificate or ACT (AMCT / CTP)
CFA (Level I or II) or FRM – added advantage
Evidence of continuous professional development
Analytical & Technical Skills
Advanced liquidity modelling and forecasting
Strong scenario analysis and stress-testing expertise
Deep understanding of money market instruments, CP market, REPOs, and funding derivatives
Strong quantitative and financial analysis capability
Technical & Computer Skills
Advanced Microsoft Excel (financial models, dashboards, sensitivity analysis)
Strong PowerPoint skills for ALCO and senior management presentations
Experience with treasury management systems and core banking platforms
People Skills & Personal Attributes
High ethical standards and integrity
Strong leadership and mentoring ability
Sound judgment and risk awareness
Ability to work under pressure in dynamic environments
Communication, Presentation & Stakeholder Skills
Strong presentation skills at ALCO and the executive level
Ability to explain complex treasury and market concepts clearly
Strong negotiation and relationship-management capability
7–10 years of experience in Treasury, Financial Markets, or Banking / Non-Bank Financial Institutions
Strong exposure to liquidity management, funding structures, CP issuance, and ALCO processes
Experience in a microfinance or consumer lending environment is an advantage
Key Performance Indicators (KPIs)
Liquidity adequacy and stability
Funding cost optimization
Effectiveness of stress testing and scenario analysis
Compliance with regulatory and treasury limits
Quality of ALCO reporting and stakeholder engagement
Location: Al Jubail, Saudi Arabia; Dammam, Saudi Arabia; Riyadh, Saudi Arabia
The Project Manager is responsible for planning, executing, and overseeing operations and maintenance projects to ensure safe, efficient, and reliable plant and pipeline performance. The role requires strong technical expertise, leadership capabilities, and experience in gas plant and pipeline operations.
Key Responsibilities
Plan, manage, and execute operations and maintenance projects in line with company objectives and safety standards.
Oversee daily operations and maintenance activities for plants and pipelines, ensuring optimal performance and reliability.
Lead, supervise, and manage technical teams, contractors, and site personnel.
Ensure compliance with health, safety, environmental, and regulatory requirements.
Develop maintenance strategies, schedules, and budgets to minimize downtime and maximize asset life.
Monitor project progress, manage risks, and implement corrective actions where required.
Coordinate with stakeholders, vendors, and internal departments to ensure smooth project execution.
Prepare and present reports on project status, performance metrics, and operational issues.
Utilize SAP PM for maintenance planning, tracking, and reporting (preferred).
Qualifications & Experience
Education:
University degree in Mechanical Engineering, Electrical Engineering, or Chemical Engineering.
Experience:
Minimum 8–10 years of relevant operations and maintenance experience.
3–5 years of hands-on experience in operations and maintenance of gas plants and pipelines.
Proven supervisory and man-management experience.
Technical Skills:
Strong knowledge of gas plant and pipeline systems.
Experience in maintenance planning and asset management.
SAP PM experience preferred.
Skills & Competencies
Strong leadership and people management skills.
Excellent problem-solving and decision-making abilities.
Effective communication and stakeholder management skills.
High commitment to safety and operational excellence.
Ability to work under pressure and manage multiple priorities.
Al Jubail, Saudi Arabia; Dammam, Saudi Arabia; Riyadh, Saudi Arabia
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Location: Jeddah, Saudi Arabia; Riyadh, Saudi Arabia; Tabuk, Saudi Arabia; Madinah, Saudi Arabia; Al Bahah, Saudi Arabia; Al Khobar, Saudi Arabia
Eram Talent is looking for a dedicated and detail-oriented IT Asset Management Analyst to join our operations in Saudi Arabia. The IT Asset Management Analyst is responsible for maintaining the asset life cycle information including but not limited to the custodian, warranty and status for technology-based hardware and software assets. The IT Asset Management Analyst is also responsible for receiving, tagging, disposing the assets, updating the Assets database system, as well as developing and implementing procedures for tracking IT assets to oversee quality control throughout their lifecycles.
Key Responsibilities
Manage the entire lifecycle of IT assets, including acquisition, inventory management, utilization tracking, and disposal.
Manage the complete IT asset lifecycle including receiving, tagging, tracking, loaning, repairing, and disposal of assets.
Maintain accurate asset records (custodian, warranty, status, refresh, and end-of-life) in the asset management system.
Conduct physical and system inventory audits, analyze variances, and ensure data accuracy.
Control asset acquisition, storage, movement, and disposal in coordination with internal and external stakeholders.
Prepare asset reports and dashboards and support process improvements and governance.
Stay current with industry trends and best practices in IT asset management.
Requirements
Bachelor’s degree, preferably in Information Technology or a related field.
4+ years of experience in IT asset management systems and lifecycle management.
4+ years of experience in data analytics and reporting
Strong knowledge of SAP, IT asset management processes, and supporting technologies.
Advanced skills in Microsoft Excel and data analysis/reporting.
Good English communication skills with the ability to work independently and collaborate across teams.
Strong communication and interpersonal skills.
Ability to work independently and as part of a team.
Relevant certifications such as Certified IT Asset Manager (CITAM) or ITIL certification are a plus.
Benefits
Salary is not a constraint ,company is looking for right candidate .
Jeddah, Saudi Arabia; Riyadh, Saudi Arabia; Tabuk, Saudi Arabia; Madinah, Saudi Arabia; Al Bahah, Saudi Arabia; Al Khobar, Saudi Arabia
Location: Hamburg, Germany
Hello there! Our client is a global market research company that combines an AI-powered insights platform with expert consultancy. On a mission to make the world a little more fact-based, they help businesses understand how consumers think and make smarter decisions.
Founded in Hamburg in 2014, the company has grown into a global presence with more than 260 employees across 13 countries, supporting 2,600+ international clients and delivering research in 190+ markets.
We are looking for an experienced and passionate People Operations Partner to join the People Team and help create exceptional employee journeys that reflect the company’s unique culture while supporting international growth.
In this role, you’ll be the driving force behind a seamless employee lifecycle—turning traditional “HR services” into a premium employee experience. You’ll have ownership from day one and help build scalable people operations foundations that support the business, challenge the status quo, and deliver meaningful impact.
Requirements
What you’ll be doing
Own and manage the full employee lifecycle across Europe (from contracts and onboarding to day-to-day requests and offboarding) while delivering an exceptional employee experience
Manage payroll processes in Germany and Austria in collaboration with external tax partners
Partner with the company’s EOR provider to ensure smooth remote onboarding and compliant hiring across countries
Support audits and ensure accurate employee data within the HRIS
Identify opportunities to automate, improve, and simplify operations, including using AI tools
Take ownership of broader People Operations topics such as policy updates, tooling rollouts, and process documentation
Collaborate closely with IT, Finance & Legal on cross-functional processes
If based in Hamburg, support office-related activities
You’ll thrive in this role if you
Hold a degree in Business Administration, Economics, HR Management, or a related field
Bring 3+ years of experience in People Operations/HR within a fast-paced international environment
Are fluent in German & English (other languages a plus!)
Have hands-on experience with HRIS tools (ideally Personio or HiBob)
Are passionate about operational HR and improving the employee experience
Have payroll experience in Germany (Austria, France, Spain or UK experience is a plus)
Are experienced with ticketing systems and structured SLA-based employee support
Proactively drive improvements and ownership
Combine empathy with organisation, process thinking, and a solution-oriented mentality
Communicate clearly, confidently, and collaboratively
Benefits
What’s in it for you?
Flexible vacation policy (no capped limits)
Work from abroad for up to 180 days a year within the EU
All equipment provided including MacBook hardware
For Hamburg/Berlin team members: mobility benefits (Deutschland ticket or mobility budget)
Subsidised Urban Sports Club membership for employees in Germany or Spain
Access to co-working spaces available in major hubs (Hamburg, Berlin, Munich, London, Madrid, Barcelona, New York)
Location: New York, NY
Workplace: OnSite
ABOUT THE COMPANY
Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world.
You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk.
OUR ETHOS
We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company.
ABOUT THE TEAM
The fraud risk management team at Rain creates sophisticated, scalable risk mitigation solutions to protect our customers and deliver a low-friction experience. We achieve this by maintaining transaction and lifecycle event monitoring, building alerts to speed fraud detection and response, and creating risk rules and strategies powered by ML models. We are a pillar of the business, supporting new products and ensuring their success. Rain’s next-generation payment technology introduces new fraud vectors that require holistic, end-to-end thinking, strong data fundamentals, and fraud management savvy to combat.
WHAT YOU’LL DO
- Architect and build scalable ML systems for fraud detection, anomaly detection, and behavioral analysis
- Develop and maintain end-to-end ML pipelines: data ingestion, feature engineering, model training, deployment, and continuous monitoring
- Design and implement low-latency, real-time decision systems partnering with fraud risk data scientists, integrating with transaction or behavioral data streams
- Own ML infrastructure, including model versioning, automated retraining, and safe deployment strategies (e.g., shadow, rollback)
- Build robust monitoring and alerting for model performance, latency, data quality, and drift
- Lead experimentation on model explainability, drift detection, and adversarial robustness for fraud prevention use cases
- Develop tooling and processes to improve the effectiveness and speed of the ML development lifecycle
- Partner with platform teams to meet strict SLAs for availability, latency, and accuracy
- Collaborate closely with talented engineers, data scientist and compliance teams across Rain
- Work in a fast-paced environment on a rapidly growing product suite
- Solve complex problems at the intersection of ML systems, data, and reliability
WHAT WE'RE LOOKING FOR
- 5+ years of experience building ML systems in production; at least 2+ in fraud, risk, or anomaly detection domains
- A degree in Computer Science, Engineering, Statistics, Applied Math, or a related technical field
- Proven track record designing and maintaining ML models at scale
- Advanced proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
- Strong understanding of supervised/unsupervised learning, anomaly detection, and statistical modeling
- Ability to work autonomously, manage ambiguity, and collaborate closely with data scientists to translate analytical models into robust fraud prevention systems
- Experience developing, validating, and productionalizing predictive real-time and offline fraud detection models using supervised and unsupervised ML techniques
- Experience collaborating with cross-functional teams to prioritize, scope, and deploy MLI solutions at scale
NICE TO HAVE, BUT NOT MANDATORY
- Domain expertise in banking, payments, or transaction monitoring
- Experience with graph-based or network-level fraud detection techniques
- A graduate degree in Computer Science, Engineering, Statistics, Applied Math, or a related technical field
- Experience fine-tuning or adapting generative AI / large language models for pattern generation or synthetic data augmentation (in partnership with data science)
- Knowledge of model governance, bias mitigation, and regulatory compliance in fraud contexts
THINGS THAT ENABLE A FULFILLING, HEALTHY, AND HAPPY EXPERIENCE AT RAIN:
Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves.
Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace.
Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan.
Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match.
Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success.
Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you!
In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit.
Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.
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
We're looking for a Software Engineer to join the team building Claude Security. In this role, you'll take new security capabilities in frontier models and turn them into products that customers can rely on, working across the full stack from early prototype through production.
This role sits close to both research and go-to-market. You'll work with researchers on the team to understand what the models can do and where they fall short, and with customers and partners to understand which problems are worth solving for them. You'll be expected to form your own view from both and to own significant pieces of the roadmap, including deciding what not to pursue.
The right candidate is a strong generalist engineer with the technical depth to engage with research, the product instincts to know what's worth building, and the drive to move fast. Prior security experience is useful but not required; range across the stack and good judgment about what to build matter more.
Responsibilities
Build and ship user-facing and/or backend features for Claude Security
Build the agent loops, tool integrations, and enabling infrastructure for cybersecurity products
Collaborate tightly with product managers and go-to-market to understand user needs, shape feature scope, and make informed tradeoffs as you build
Iterate quickly based on user feedback and internal testing, improving the experience on a continuous basis
Collaborate with research teams to identify and develop new model capabilities for security applications
You may be a good fit if you:
Contribute across the stack, from front-end UI to back-end infrastructure
Are proficient in TypeScript, Python, and/or Go and have experience building distributed systems
Enjoy fast iteration and are energized by prototyping new ideas
Are comfortable working closely with research and go-to-market teams
Have strong communication skills and can work effectively across functions
Have 7+ years of experience as a software engineer
Strong candidates may also have:
Experience building client-side terminal applications
Experience developing cybersecurity products
Experience in incident response, reverse engineering, network analysis, penetration testing, or similar fields
Experience building skills, plugins, or hooks in Claude Code or similar tools
Experience building with Claude Managed Agents or similar frameworks
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:
$405,000
—
$485,000 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: Remote
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
ABOUT THE ROLE
We’re looking for Research Engineers to contribute to our ambitious research agenda spanning multimodal foundational models, interactive world modeling, and real-time generation. This role is highly collaborative and will touch many aspects of our broader research efforts, taking a full-stack approach across pretraining, SFT/RL post-training techniques, evaluation, and bringing models to production.
WHAT YOU’LL DO
- Run experiments to teach world models new behaviors — action following, scene manipulation, camera control, and beyond
- Develop and test new data strategies, architectural variants, and training techniques
- Design evaluations that measure model capabilities, and use them to drive model improvement
- Take features from research prototype to production, collaborating with product and creative teams to address application-specific gaps
- Contribute across the entire stack (data pipelines, modeling, production inference) to move projects forward
WHAT YOU’LL NEED
- 4+ years of experience in machine learning research or engineering
- Familiarity with the architecture, training, and inference of large-scale multimodal generative models
- Experience building robust data pipelines for pretraining and post-training
- Comfort working across the full research stack: data, training, evaluation, and deployment
- Proficiency with at least one ML framework (e.g. PyTorch, JAX) and experience with distributed training at scale
- Ability to context-switch quickly and drive projects forward in a fast-moving, ambiguous environment
- Excitement about building AI that simulates the world
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Location: 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 strong backend engineers who love building developer tools used by the largest AI companies in the world. You’ll be building for things at scale, but also for new AI workflows that change every day.
YOU MAY BE A FIT IF:
- You’ve built and shipped modern web applications end-to-end
- You’re comfortable working across the stack: TypeScript on the frontend, Python services on the backend, and ClickHouse for data and analytics
- You have deep knowledge of observability tools and patterns used for large-scale workloads such as custom sandboxes and training and inference for large language models (LLMs) and diffusion models
- You have experience with at least one of the following: billing/payments systems, B2B SaaS tooling, enterprise software, or LLM/diffusion model inference and training workloads
- You have strong product instincts and think about customer problems, not just tickets
- You’re able to participate in our on-call rotation and respond to production incidents
- You make good tradeoffs between shipping fast and building for scale
- You’re able to work in person in our NYC or SF office
Location: New York City, NY; 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
As a Strategic Account Executive (Asset & Wealth Management) at Anthropic, you'll join the foundational team introducing our frontier AI platform to the world's leading asset managers, wealth management firms, and institutional investors. You'll drive adoption of safe, frontier AI by securing strategic, enterprise-scale deals across asset management, wealth management, and institutional investment organizations. You'll leverage deep A&WM sales expertise to grow revenue while becoming a trusted advisor to industry stakeholders — helping them embed AI into research, portfolio management, client advisory, and operations workflows, and uncovering its full range of capabilities. Working closely with Product and Marketing, you'll continuously sharpen our value proposition, sales motion, and market positioning for A&WM decision-makers.
The ideal candidate is energized by building a new category in an established, highly regulated industry — identifying high-potential accounts across asset managers, wealth managers, and institutional investors, and running the strategies to win them. By driving deployment of Anthropic's emerging products into A&WM enterprises, you'll help these organizations unlock new capabilities while advancing the responsible development of AI.
Key responsibilities
Own a book of strategic, high-value accounts across asset management, wealth management, and institutional investment organizations, carrying and exceeding an individual revenue target
Engage personally with C-level and senior technical stakeholders (CIOs, CTOs, Heads of Research, Heads of Data/AI) — building business cases and value narratives, and navigating complex procurement, security, regulatory, and legal review through to production deployment and expansion
Identify and prioritize high-potential opportunities within your accounts, building and executing account plans that turn strategic relationships into committed revenue
Run a disciplined pipeline and forecasting cadence — accurate deal inspection, clear next steps, and predictable, coachable execution across a high-value, long-cycle book of business
Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate A&WM-specific needs — research, portfolio management, client advisory, operations — into product and roadmap input
Codify winning use cases, proof points, and reference stories from your deals, partnering with Marketing and Enablement to help scale them across the broader FSI motion
Orchestrate cross-functional and partner motions with Customer Success, Legal, Partnerships, and cloud partners to deliver a seamless customer experience, and represent Anthropic as a visible, trusted voice with customers and at industry events
Minimum qualifications
5+ years of enterprise sales experience in asset management, wealth management, or institutional investing, with demonstrated success covering buy-side or wealth advisory organizations
A track record of carrying and exceeding quota in enterprise sales of technical, complex products (API-first platforms, cloud infrastructure, data/ML platforms, or enterprise SaaS)
Experience winning and growing strategic enterprise accounts, including building C-suite relationships, within asset and wealth management
Operational rigor across complex, multi-stakeholder sales cycles — balancing velocity with deal quality and forecasting accurately in fast-changing environments
Credibility with technical buyers and builders — CIOs, CTOs, CDOs, Heads of AI/ML — and experience pairing effectively with solutions architects and applied AI teams
A genuine interest in deploying AI responsibly and motivation to advance Anthropic's mission of building safe, beneficial AI
Driven, coachable, and on a steep growth trajectory
Preferred qualifications
Experience bringing generative AI or LLM-based products, or other emerging platform technologies, to large asset managers or wealth management firms
Deep familiarity with regulated-industry selling — data governance, fiduciary/compliance-driven procurement, security review, and the governance expectations of buy-side and wealth organizations
Experience selling with and through cloud and ecosystem partners such as AWS, Google Cloud, and global systems integrators
Familiarity with consumption- or usage-based commercial models and value-based pricing conversations
Experience navigating long, multi-stakeholder enterprise cycles typical of institutional investment and wealth advisory procurement
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:
$380,000
—
$450,000 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: India
HeadSpin, a PartnerOne company, is an AI-powered testing platform that enables real-world testing on SIM-enabled mobile devices, browsers, Smart TVs, and OTT devices across 50+ global locations, with flexible cloud and on-premises deployment options. It offers deep performance insights through AI-driven analytics, 130+ built-in KPIs, session-based data, and features like waterfall UI, root cause analysis, UX monitoring, and regression intelligence. Supporting 60+ automation frameworks, including Appium, Selenium, Playwright, and XCUITest, HeadSpin ensures seamless integration without vendor lock-in. With enterprise-grade security, a robust REST API library, and no need for SDK or code changes, it simplifies testing across workflows. Businesses using HeadSpin report 68% less QA time, 90% fewer production issues, 30% faster development, and improved load times and user retention.
About the Role
You will create scripts using Appium, and Selenium using Python/java. You will become Appium Pro certified and work with top-tier customers. You must enjoy testing mobile UIs and automating them in both Android and iOS.
What You'll Do
Write automation code for mobile applications
Capture data and complete analysis on mobile applications
Create dashboards with the data captured and provide it to the customer
Assist customer with automation where applicable
Understanding of iOS and Android applications and UI structure and building tooling to automate interactions
Deep knowledge of Appium and Appium Desktop internals
A working understanding of mobile frameworks like Espresso and XCTest
Developing/evolving production-grade web services and agents written in Python and Tornado
Being a member of a highly motivated team pushing all the boundaries in the mobile testing space
Maintain automation test framework to ensure continuous quality of products
Maintain existing testing codebases
Collaborate with software engineers and testers to develop rigorous test cases
Identify, record, document thoroughly and track bugs
Ensure the quality of all code and products produced by the company
Help customers get the best value out of Headspin
Performs other duties as required
What You Need
BS in Software Engineering, Computer Science or a similar field
0-2 years of hands-on experience in software development or SQA
Self-motivated, creative, focused, results-oriented, problem solver
In-depth knowledge of at least one programming language (Python, Java)
Strong skill set with MySQL or other databases. Ability to read & write SQL queries
Good with Linux/Unix environment
Strong knowledge of software QA methodologies, tools and processes
General knowledge of Appium (mobile automation tool) or Selenium (web automation tool)
Proficiency with automation testing tools
Strong verbal and written communication abilities
Android and or iOS development
Agile / Scrum Experience
Strong troubleshooting skills
Ability to collaborate with engineers and content creators
Location: Menlo Park
Blockstream https://blockstream.com/ was founded in 2014 by Dr. Adam Back https://en.wikipedia.org/wiki/Adam_Back and a group of fellow cryptographers and engineers who are passionate about Bitcoin and its potential to change the world. Today, Blockstream is the leading Bitcoin company, providing cutting-edge infrastructure solutions for enterprises, institutions, and individual Bitcoin users. We develop industry-leading Bitcoin self-custody solutions, Bitcoin-based financial products, second-layer scaling technologies, and enterprise-grade blockchain infrastructure.
We’re seeking a detail-oriented and proactive Marketing Coordinator to support our growing marketing team. The ideal candidate understands marketing terminology, workflows, and operations, and can help manage projects from concept to completion.
This is a hands-on role focused on organization, coordination, and execution — ensuring that marketing initiatives are delivered on time, on brand, and with high quality. You’ll work closely with team leads across content, communications, and product marketing to help streamline activities, track progress, and keep projects moving forward.
What You’ll Be Doing (Responsibilities):
- Coordinate marketing projects, campaigns, and content production timelines from start to finish.
- Assist in planning, scheduling, and tracking marketing initiatives across multiple channels and team members.
- Maintain the team’s project management tools and workflows (e.g., Asana, Notion, or similar).
- Align with content publishing, social media scheduling, and website updates.
- Coordinate with cross functional teams on CRM databases to enable activation of outreach and pipeline.
- Help manage vendor relationships, assets, and marketing documentation.
- Assist in tracking budgets, requisitions, and invoices
- Contribute to campaign reporting and performance tracking, ensuring data accuracy.
- Collaborate with internal teams to ensure alignment on messaging, design, and deadlines.
- Participate in team meetings, helping to identify bottlenecks and propose process improvements.
What We Look For in You (Required Qualifications):
- 2–3 years of experience in a marketing operations, coordination, or project management role.
- Solid understanding of marketing terminology, workflows, and campaign processes.
- Strong organizational and multitasking skills, with excellent attention to detail.
- Proficiency with common marketing tools (Google Workspace, project management platforms, CMS tools, CRM, etc.).
- Clear communication skills — both written and verbal.
- Ability to work cross-functionally with design, content creators, sales, and engineering.
Nice To Haves (Preferred Qualifications):
- Experience in technology, fintech, SaaS, or crypto/blockchain industries.
- Familiarity with analytics and marketing automation tools (e.g., HubSpot, Google Analytics).
Work Environment
This is a hybrid position, with an expectation of 2–3 days per week in our Menlo Park office.
🔒 Stay Safe from Job Scams
All official Blockstream communication will come from an @blockstream.com http://blockstream.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@blockstream.com. Learn more about avoiding job scams here https://consumer.ftc.gov/consumer-alerts/2022/05/want-work-home-spot-scams-first.
Location: Remote
Workplace: Remote
Blockstream https://blockstream.com/ was founded in 2014 by Dr. Adam Back https://en.wikipedia.org/wiki/Adam_Back and a group of fellow cryptographers and engineers who are passionate about Bitcoin and its potential to change the world. Today, Blockstream is the leading Bitcoin company, providing cutting-edge infrastructure solutions for enterprises, institutions, and individual Bitcoin users. We develop industry-leading Bitcoin self-custody solutions, Bitcoin-based financial products, second-layer scaling technologies, and enterprise-grade blockchain infrastructure.
We’re looking for a Marketing Content Manager who can bring depth, clarity, and credibility to how Blockstream communicates with the world. This role is equal parts journalist and researcher — someone who’s not just publishing updates but shaping narratives, spotting trends, and ensuring everything we say reflects both thought leadership and technical accuracy.
You’ll manage Blockstream’s content calendar, lead research-driven storytelling, and produce well-informed, engaging material across multiple channels — from long-form articles and reports to social commentary and product updates.
What You’ll Be Doing (Responsibilities):
- Research and analyze industry trends, technologies, and market developments across Bitcoin, fintech, and enterprise infrastructure.
- Develop original insights, commentary, and “hot takes” that position Blockstream as a leading voice in the Bitcoin ecosystem.
Plan, edit, and publish content across owned channels (blog, newsletter, social, and website).
- Work with internal stakeholders — including engineering, product, and communications — to ensure all content is accurate, aligned, and well-positioned.
- Consolidate and maintain a content library that serves as a single source of truth for public materials and messaging.
- Uphold Blockstream’s editorial standards — thoughtful, credible, and grounded in technical and economic reality.
- Support broader marketing initiatives, including product launches, announcements, and thought leadership campaigns.
What We Look For in You (Required Qualifications):
- 5+ years of experience in content creation, journalism, research, or communications — ideally in tech, fintech, or crypto.
- Proven ability to translate complex technical concepts into accessible and engaging narratives.
- Strong editorial judgment — able to balance speed, accuracy, and quality in publishing.
- Experience managing an editorial calendar and coordinating with multiple teams.
- Excellent writing, editing, and analytical skills with attention to detail and tone.
- A strategic mindset — able to connect content decisions to brand, audience, and business goals.
Nice To Haves (Preferred Qualifications):
- Familiarity with Bitcoin, blockchain, or financial technology concepts.
- Background in research, investigative journalism, or economic/technical writing.
- Experience working with data or analytics tools to inform content decisions.
🔒 Stay Safe from Job Scams
All official Blockstream communication will come from an @blockstream.com http://blockstream.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@blockstream.com. Learn more about avoiding job scams here https://consumer.ftc.gov/consumer-alerts/2022/05/want-work-home-spot-scams-first.
Location: San Francisco, CA | New York City, NY
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:
As a member of the Applied AI team at Anthropic, you will be an Applied AI Engineer focused on becoming a trusted technical advisor to Enterprise Technology companies adopting the Claude API into their core products. You will work closely with customer product and engineering teams as they ship new products powered by Claude: advising on architecture design decisions, developing evaluation frameworks, and guiding customers through the most cutting-edge implementation patterns for LLMs.
Working closely with our Sales, Product, and Engineering teams, you'll guide a focused portfolio of customers from technical discovery through successful deployment. You'll combine deep engineering expertise with customer-facing skills to help customers unlock the full potential of the Claude API and move their products closer to the frontier, while maintaining our high standards for safety and reliability.
Responsibilities:
Serve as a specialist technical advisor to Anthropic customers as they deploy new products & workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success
Partner with account executives and Applied AI Architects to translate customer business requirements into technical solutions
Influence technical architecture decisions and customer product strategy by developing customized pilots, prototypes, and evaluation suites
Lead hands-on technical workshops and code reviews with customer engineering teams
Identify common design patterns and contribute insights back to our Product and Engineering teams
Create scalable public and internal assets documenting the latest LLM prompting, eval, agentic, and architecture techniques
Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks
Travel occasionally to customer sites for workshops, implementation support, and building relationships
Attend conferences, lead speaking engagements, and write blog posts and white papers on topics surrounding the AI space
You may be a good fit if you have:
4+ years of experience in technical roles such as Forward Deployed Engineer, Product Engineer, Software Engineer, or Technical Product Manager, with a desire to work closely with customers. Former technical founders are also encouraged to apply.
Production experience with LLMs, including advanced prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP, and deployment at scale
Strong programming skills with proficiency in Python or TypeScript and experience building production applications
Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems
High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity
Passion for advancing safe, beneficial AI systems through creative technical applications
Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach
Please note this role requires 3 days in office per week.
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:
$200,000
—
$320,000 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: Mississauga
Workplace: hybrid
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.
At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.
Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.
**Travel to Office expectations**
For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.
For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.
What your day-to-day will look like:
Identify, prioritize and execute tasks in the software development life cycle.
Work with business to iterate over software requirements.
Develop tools and applications by producing clean, efficient code.
Automate tasks through appropriate tools and scripting.
Analyze and debug systems.
Perform validation and verification testing in a test-driven manner
Review the work of others, and invite others to review your work.
Collaborate with internal teams and vendors to fix and improve products.
Ensure software is up-to-date with latest technologies.
Work with distributed computing systems like Apache Hudi and Trino for big data processing.
What qualifications we’re looking for:
Experience with
distributed computing tools like Apache Hudi, Spark, Kafka, Flink, Beam, Trino, DataBricks and other big data technologies.
Experience with
distributed storage
systems like ADLS, HDFS, S3, DLT etc.
Familiarity with Hadoop, Spark, Databricks or other distributed computing systems.
Understanding of data partitioning and sharding techniques.
Knowledge of distributed computing principles and how they apply to large-scale data processing.
Experience in writing clean code that performs well at scale using languages such as Python, Java etc.
Knowledge of relational databases (e.g. Microsoft SQL Server, MySQL).
Solid experience writing RESTful API endpoints.
Absolutely love TDD and have working knowledge of it.
Proficient in GIT.
Experience using system and performance monitoring tools (e.g. New Relic, DataDog).
Excellent organization, critical-thinking and personal leadership skills
Self-starter with the ability to deliver with minimal supervision.
Being okay with the uncomfortable feeling that comes from learning new things.
Team player.
Analytical mind with problem-solving aptitude.
Proven experience as a great Engineer.
BSc/BA in Computer Science or a related degree
.
Bonus points for:
Experience with distributed computing
Experience writing code/scripts in Python
Experience with Spring Boot.
Nice to have React, Selenium automation and cloud experience.
Experience with Docker, Kubernetes and Istio.
Experience with Ansible.
Experience with Jenkins CI/CD pipeline.
Linux and IP networking knowledge.
Experience with AWS/Azure cloud services or equivalent.
Experience with SAML, OAuth and OpenID Connect.
Experience working on a SaaS product.
Experience with Service Oriented Architecture.
Knowledge of scripting languages such as Python, Bash or Groovy.
On-call experience with production grade systems.
Has mentored others in a professional setting.
Generative AI Code Assistants
- Use of Generative AI Code Assistants (e.g. Github Copilot) and knowledge of latest Generative AI Model capabilities would be an asset.
#LI-AJ1
#LI-hybrid
#LI-AV1
#LI-hybrid
PointClickCare Benefits & Perks:
Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!
It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.
When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com
PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.
At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $142,00-158,000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.
Location: San Francisco; Toronto; New York; Montreal; Seattle
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
We are looking for Software Engineers to join our team. This is a specialized, high-impact role sitting at the intersection of high-performance computing (HPC) and Large Language Model (LLM) engineering. You will not just be building the automated "speedometer and diagnostic" suite for our next-generation AI infrastructure; you will be defining the roadmap, driving key technical decisions, and taking full ownership of the future of this work.
RESPONSIBILITIES
- Benchmarking: Evaluate, run and automate standard LLM quality benchmarks (GSM8K, MMLU) alongside custom performance suites for specific workloads (e.g., long-context window, KV cache reuse, disaggregated serving).
- DevEx Improvement: Develop and maintain internal GPU-enabled development environments (similar to GitHub Codespaces). You will ensure the team has seamless, high-performance "dev machines" optimized for model experimentation.
- Tool Development: Build and contribute to open-source tools such as InferenceMAX and genai-bench to automate model evaluation, benchmarking and analysis.
- System Profiling: Use profilers like PyTorch Profiler, NVIDIA Nsight Systems and py-spy to collect performance profiles, identify bottlenecks, and debug the compute/networking stack.
- Monitoring & Observability: Develop real-time dashboards and alerts to monitor system health, model startup times, and runtime performance.
- Continuous Integration: Automate performance testing via CI/CD pipelines to catch regressions and build release workflow automation for the model runtimes stack.
- Optimization Automation: Build tools to find the "Pareto frontier"—identifying the absolute best configuration (latency vs. cost vs. quality) for a given model and workload.
REQUIREMENTS
This is a mid-senior, high leverage role. We care about your technical depth, strong communication skills to drive cross-team efforts, ability to navigate vague requirements and mentor other engineers. We want to talk to you if you have:
- A Love for Systems & Hardware: You aren’t just interested in the AI; you want to understand GPU memory subsystems, InfiniBand, and how data moves across a cluster.
- An Automation Mindset: You believe that if a task has to be done twice, it should be scripted. You have a passion for stress-testing and fuzzy testing to find the "breaking point" of a system.
- Mathematical Curiosity: A desire to understand the underlying math of Transformers and how it translates into FLOPs and memory requirements.
- Technical Toolkit: Familiarity with Python, and an eagerness to master the NVIDIA software stack. C++ familiarity is good to have.
WHY THIS ROLE
- Direct Impact: Your tools will be the gatekeeper for what defines "good" performance for our customers.
- Deep Learning (Literally): You will gain world-class expertise in GPU orchestration and LLM inference that few engineers in the industry possess.
- High Ownership: As the lead of a small team, you will have the autonomy to build tools from scratch and contribute to open-source projects.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Marina Bay, Singapore
Top 3 Reasons To Join Us
Competitive salary, strong equity and sales incentive package
Working on the latest tech for the insurtech market leader
Shaping the future of the insurance industry
About Us
At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.
We are a leading global next-gen insurance platform for health, life, and P&C
We work with insurance enterprise clients such as AXA, Bupa, MSIG, Marsh, Sun Life, Dai-ichi, and many more
We have been recognized as the leading insurtech company by Fortune, Financial Times, CNBC, Statista, Asia Insurance Review and many others
We're an international, diverse team of over 250 people with 40 nationalities and team members working remotely from all over the world
We are backed by reputable VC funds and strategic institutional investors
We have a global presence and clients in Asia, Europe, the Middle East, Africa, North America and Latin America
We have built one of the fastest growing insurtech ecosystems with over 100K followers on LinkedIn
We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world
What You Will Do:
As a Senior Growth Director of AI Solutions in APAC, you will drive business growth in the region. CoverGo is rolling out AI agents and expanding its presence across APAC so your role will be key to achieving growth targets. You will be working closely with and reporting directly to our CEO.
Drive AI solutions business growth in APAC, with an emphasis on identifying opportunities and closing deals
Identify client’s pain points and explain how CoverGo AI agents will help solve the pain points
Collaborate closely with our product and delivery teams and help shape our AI product roadmap by sharing market needs and solutions
Be the face of CoverGo as a thought-leader in the region, including media engagements, conferences and industry forums
Build and maintain a pipeline of high-quality AI opportunities
Build and lead an AI sales team in the region
Grow relationships with leadership at target prospect insurance companies
Build relationships with key partners (consulting firms, channel partners, system integrators, reinsurance companies etc.) to generate indirect sales opportunities and leads
Utilize our standardized methodology to manage the sales processes and accurately forecast business
Build close relationships with existing clients in the region to generate upsell and cross-sell opportunities for AI solutions
Stay on top of market trends and competitive dynamics
What We Need
Extensive network of decision-makers in the insurance industry in APAC
Leadership experience (Director or C-level) in the insurance industry
Insurance consulting experience a big plus
Experience in driving AI initiatives within the insurance sector
Track record of enterprise sales and revenue growth
Great communication skills in English (Japanese or Cantonese a plus) and the ability to work effectively in a remote-first international organization
Strong domain hands-on knowledge of the insurance value chain and pain points
Excellent understanding of the APAC insurance market
Self-starter who is able to handle challenges and excited about growing a business in a fast-paced environment
Good understanding of enterprise technology sales, SaaS, insurtech, insurance systems architecture and cloud-based technologies
Solutions-oriented mindset, always looking for more efficient ways of doing things
Strong listening skills, proactive, persuasive, able to influence and adapt to new situations
Curious about emerging trends and technologies and the future of insurance industry
Passionate about building trusted relationships with C-level insurance executives and providing superior insights on AI solutions that transform business
Based in Singapore, Hong Kong or Tokyo; willing to travel across APAC as needed
Why You'll Love Working Here
Employee stock options
International Environment
Health Insurance
Company activities and team offsites
Diverse, talented and fun team to work with
Open communication and flat hierarchy
Global mobility opportunities
Training and development plan
CoverGo Company
Video
By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s
Privacy Notice
and you consent to the processing of your data as part of this application.
Location: Hong Kong
Top 3 Reasons To Join Us
Competitive salary, strong equity and sales incentive package
Working on the latest tech for the insurtech market leader
Shaping the future of the insurance industry
About Us
At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.
We are a leading global next-gen insurance platform for health, life, and P&C
We work with insurance enterprise clients such as AXA, Bupa, MSIG, Marsh, Sun Life, Dai-ichi, and many more
We have been recognized as the leading insurtech company by Fortune, Financial Times, CNBC, Statista, Asia Insurance Review and many others
We're an international, diverse team of over 250 people with 40 nationalities and team members working remotely from all over the world
We are backed by reputable VC funds and strategic institutional investors
We have a global presence and clients in Asia, Europe, the Middle East, Africa, North America and Latin America
We have built one of the fastest growing insurtech ecosystems with over 100K followers on LinkedIn
We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world
What You Will Do:
As a Senior Growth Director of AI Solutions in APAC, you will drive business growth in the region. CoverGo is rolling out AI agents and expanding its presence across APAC so your role will be key to achieving growth targets. You will be working closely with and reporting directly to our CEO.
Drive AI solutions business growth in APAC, with an emphasis on identifying opportunities and closing deals
Identify client’s pain points and explain how CoverGo AI agents will help solve the pain points
Collaborate closely with our product and delivery teams and help shape our AI product roadmap by sharing market needs and solutions
Be the face of CoverGo as a thought-leader in the region, including media engagements, conferences and industry forums
Build and maintain a pipeline of high-quality AI opportunities
Build and lead an AI sales team in the region
Grow relationships with leadership at target prospect insurance companies
Build relationships with key partners (consulting firms, channel partners, system integrators, reinsurance companies etc.) to generate indirect sales opportunities and leads
Utilize our standardized methodology to manage the sales processes and accurately forecast business
Build close relationships with existing clients in the region to generate upsell and cross-sell opportunities for AI solutions
Stay on top of market trends and competitive dynamics
What We Need
Extensive network of decision-makers in the insurance industry in APAC
Leadership experience (Director or C-level) in the insurance industry
Insurance consulting experience a big plus
Experience in driving AI initiatives within the insurance sector
Track record of enterprise sales and revenue growth
Great communication skills in English (Japanese or Cantonese a plus) and the ability to work effectively in a remote-first international organization
Strong domain hands-on knowledge of the insurance value chain and pain points
Excellent understanding of the APAC insurance market
Self-starter who is able to handle challenges and excited about growing a business in a fast-paced environment
Good understanding of enterprise technology sales, SaaS, insurtech, insurance systems architecture and cloud-based technologies
Solutions-oriented mindset, always looking for more efficient ways of doing things
Strong listening skills, proactive, persuasive, able to influence and adapt to new situations
Curious about emerging trends and technologies and the future of insurance industry
Passionate about building trusted relationships with C-level insurance executives and providing superior insights on AI solutions that transform business
Based in Singapore, Hong Kong or Tokyo; willing to travel across APAC as needed
Why You'll Love Working Here
Employee stock options
International Environment
Health Insurance
Company activities and team offsites
Diverse, talented and fun team to work with
Open communication and flat hierarchy
Global mobility opportunities
Training and development plan
CoverGo Company
Video
By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s
Privacy Notice
and you consent to the processing of your data as part of this application.