We are seeking an experienced
Mathematician
to support the development and optimization of mathematical models and algorithmic solutions within our sportsbook platform.
The ideal candidate will bring
strong
expertise
in mathematics, probability, statistics, and algorithmic modeling
, combined with a deep understanding of
sportsbook mechanics and betting markets
. The consultant will work closely with product, trading, and
development te
ams to enhance odds models, improve automation capabilities, and contribute to the development of advanced data-driven solutions.
Key Responsibilities
Design, review, and optimize mathematical models used in sportsbook trading, odds generation, and risk management.
Support the development and improvement of algorithmic pricing and automated trading solutions.
Analyze betting data, market behavior, and performance metrics to improve model accuracy and efficiency.
Collaborate with Product, Trading, Data Science, and Engineering teams to implement scalable algorithmic solutions.
Provide expert insights on probability models, margin optimization, and risk exposure management.
Contribute to the development of data-driven strategies for sportsbook market automation and pricing efficiency.
Evaluate existing algorithms and identify opportunities for optimization and performance improvement.
Support the integration of new analytical approaches, including advanced statistical methods and machine learning techniques where relevant.
Conduct research on industry best practices and emerging technologies in sportsbook modeling and algorithmic trading.
Provide technical guidance and recommendations on mathematical frameworks used in sportsbook operations.
Requirements
Strong academic background in
Mathematics, Statistics, Data Science, Computer Science, or a related quantitative field
.
Proven experience working with
mathematical modeling, statistical analysis, or algorithm development
.
Experience in
sportsbook
, betting technology, trading systems, or quantitative modeling environments
is a strong advantage.
Deep understanding of probability theory, statistical modeling, and data analysis.
Experience working with large datasets and performance metrics.
Familiarity with algorithmic systems, predictive models, or automated decision-making frameworks.
Strong analytical and problem-solving skills.
Ability to work closely with technical and product teams to translate mathematical concepts into practical solutions.
Excellent communication skills with the ability to explain complex quantitative concepts to non-technical stakeholders.
Задачи:
— Участвовать в разработке технического дизайна и архитектуры.
— Проектировать, разрабатывать и внедрять сервисы высоконагруженной платформы.
— Проводить интеграции с микросервисами и функциональными узлами системы.
— Проводить Research, писать MVP для проверки гипотез.
— Разрабатывать и поддерживать Unit/Component/Integration-тесты.
— Проводить Code Review своих коллег.
Требования:
— Опыт коммерческой разработки на Go от 6 лет.
— Опыт работы с инфраструктурой микросервисов (Docker/Kubernetes) и механизмами обмена сообщениями (Kafka, RabbitMQ).
— Опыт с протоколами взаимодействия микросервисов — REST, gRPC.
— Опыт построения комплексных систем с событийной архитектурой.
— Понимание принципов event-driven и асинхронной архитектуры.
— Опыт с SQL и NoSQL СУБД.
— Умение самостоятельно реализовывать фичи end-to-end, разбираться в неясных требованиях, учитывать нефункциональные требования и доводить решение до стабильной работы в продакшене.
Условия:
— Удаленный формат работы.
— Гибкое начало дня с 9 до 11.
— Компенсация расходов на обучение и курсы английского после испытательного срока.
— Компенсация расходов на спорт после испытательного срока.
— Возможность релокации на Кипр.
— Конкурентная оплата.
Location: New York, New York, United States
About Turing
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at
www.turing.com
.
Role:
Forward-Deployed AI Engineer — Enterprise AI
Location:
New York City
Experience Level:
8+ years
Compensation:
$200,000–$250,000 base salary + equity
Work Model:
In-office, typically three to five days per week, depending on client requirements
Why Join Enterprise AI?
Enterprise AI is a distinct business unit within Turing, operating with the speed, focus, and ownership of a rapidly scaling startup. When it comes to applied AI in the workplace, you’ll define the frontier by building beyond it.
You’ll join the initial team of Forward-Deployed Engineers, shaping how we work while solving enterprise-grade problems for the world’s leading enterprises. As a Forward-Deployed AI Engineer, you’ll own outcomes end to end—from identifying high-value customer problems and shaping architecture to building production systems and working directly with senior client leaders.
You’ll develop generative AI solutions in the real world, driving measurable impact and return on investment within large institutions. Enterprise AI is intense, intellectually challenging work. It won’t be for everyone, but it may be
exactly the challenge you’re looking for.
As a Forward-Deployed Engineer, You Will
Find the Problem Worth Solving
Work directly with customers to navigate ambiguity, uncover high-value opportunities, challenge assumptions, and translate complex business needs into clear technical direction. This requires curiosity and business acumen as you discover business workflows and jointly define the outcomes an AI solution should drive.
Build Beyond the Frontier
Architect and build production AI systems, from multi-agent workflows, orchestration, tool use, context engineering, memory and state, and retrieval-augmented generation (RAG) to the APIs, data pipelines, integrations, and distributed systems that make them reliable at scale.
Own the Outcome
You won’t simply be given a list of responsibilities—you’ll have the authority to own the outcome for your client and make a real-world impact through your work. You’ll lead solutions from discovery through deployment and measurable impact while staying hands-on and owning evaluation, observability, security, reliability, latency, scalability, and cost.
The Anti-Sell
High ownership and intensity:
This role requires exceptional ownership and accountability. You’ll work with clients who have uncompromising expectations for quality, making this a demanding environment—and an ideal proving ground for people who seek difficult, high-impact challenges.
Client-first and in-office:
Our work is client-first, which means in-person collaboration may be required either at the client site or at our planned Manhattan office near Madison Square Park. Depending on your assignment and client needs, you should expect to work in person three to five days per week and be based in the New York City area or within a reasonable commuting distance.
You’ll help write the playbook:
Enterprise AI operates like a startup. You may not always have an established process or playbook because you’ll be expected to apply your expertise, judgment, and technical depth to create one.
Our Forward-Deployed Engineers Typically Have
Deep production engineering experience:
Typically 8+ years building and operating sophisticated software systems, with expertise in Python, backend systems, APIs, databases, distributed systems, system design, and cloud infrastructure.
Hands-on agentic AI experience:
Experience building production LLM and agent systems using orchestration, tool use, context engineering, memory and state, retrieval, and multistep workflows.
End-to-end systems ownership:
A track record of taking complex systems from architecture through deployment and scale, with a practical understanding of evaluation, observability, reliability, security, guardrails, latency, scalability, and cost.
Exceptional customer and technical leadership:
The ability to enter unfamiliar environments, earn trust quickly, navigate ambiguity, challenge assumptions constructively, and communicate effectively with senior engineers and business executives.
Client-ready communication:
The ability to explain technical concepts clearly, navigate ambiguity, work with stakeholders, and remain calm under pressure.
Don’t Meet Every Qualification Yet?
If you don’t meet every qualification for this role, we encourage you to apply to our
Forward-Deployed AI Engineer (In Training)
opportunity.
This role is designed for high-potential software engineers and full-stack developers who are building the production engineering, applied AI, and client-delivery skills required to become Forward-Deployed AI Engineers at Turing.
Values
We are client first:
We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed:
We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward:
We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
Work at the frontier of AI
, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research
and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise
, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues
with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation
, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review
Turing's GDPR notice here
.
Location: San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC
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
Claude is used across government, from US federal civilian agencies to national security, state and local, and allied international governments, and nearly every model and product Anthropic ships has public sector work on the end of it. Each of those segments runs under its own regulatory and deployment constraints, so delivering Claude to them means standing up compliant infrastructure with cloud partners, landing new models in restricted environments, bringing our application suite to parity with commercial, and clearing frameworks like FedRAMP, repeated for every segment. We're hiring a Technical Program Manager to own that program.
Today that coordination is spread across the public sector product and engineering leads and the many teams they pull in: research, infrastructure, security, compliance, and product engineering. You'll become the single owner of that program, the person who knows where every workstream stands, what it is waiting on, and who needs to decide. Over time, government customers get new models and products on a predictable cadence, authorizations like FedRAMP run as a steady program rather than a one-off push, and each new segment takes less bespoke effort than the last.
Responsibilities
Own the program for delivering new Claude models into public sector environments: sequencing, dependencies, and tradeoffs across research, inference and capacity, cloud partners, safeguards, and compliance teams
Drive FedRAMP and similar authorization programs for Anthropic's public sector offerings, working with privacy, security, compliance, and platform engineering
Plan and sequence work across public sector segments, from model and API availability to application parity and segment-specific product work
Represent public sector requirements in model launch planning alongside the launch TPMs
Establish the operating rhythm: a single view of workstreams, owners, dependencies, risks, and status, with planning, escalation paths, and launch coordination across orgs
Convert recurring efforts into documented, repeatable processes so that each new segment or model requires less bespoke coordination
You may be a good fit if you
Have several years of experience in technical program management, with a track record of successfully delivering complex, cross-functional programs
Have shipped software or infrastructure into regulated or restricted environments (government clouds, air-gapped deployments, FedRAMP or similar authorization frameworks) and can engage meaningfully with the infrastructure, ML, and security engineers doing the work
Have experience coordinating across multiple engineering teams and organizations simultaneously, including research, security, and compliance partners
Are highly organized and can manage multiple parallel workstreams effectively across distributed teams
Thrive in unstructured environments with a knack for bringing order to chaos and creating clarity in ambiguous situations
Have excellent written and verbal communication skills, with the ability to influence without authority
Have worked on public sector, defense, or government cloud programs, or hold or are eligible for a US security clearance (preferred but not required)
Are passionate about Anthropic's mission and interested in the challenges of bringing AI capabilities to public institutions safely and reliably
Are a US person. We have agreements with the US Government that mandate this for these roles.
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:
$365,000
—
$435,000 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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: Costa Mesa, United States
WHAT YOU’LL DO
• Utilize first principle methods and design tools to develop new aircraft products
• Own development of primary and secondary aircraft structural parts and assemblies (metallic and composite) from preliminary design through prototype manufacturing
• Perform complex modeling and finite element analysis at the detailed component level, major assembly level, and aircraft level (analysis simulations to include strength, buckling, damage tolerance, and delamination)
• Apply design for manufacturing concepts to create solutions that are cost effective and easy to manufacture at rate
• Conduct trade studies and perform design and analysis research of complex engineering concepts to determine an optimal solution for weight, performance, manufacturability, cost, and/or schedule
• Collaborate in a multidisciplinary environment to solve complex, open-ended problems with an emphasis on schedule and cost objectives
• Coordinate work with mechanical systems, systems integration, aerodynamics, manufacturing, project engineering, and other team members
• Onsite engineering support at manufacturing and integration sites
REQUIRED QUALIFICATIONS
• Bachelor's in Aerospace Engineering, Mechanical Engineering, or equivalent experience
• 5+ years of experience in aerospace structures design, analysis, or related roles
• Proficiency in CAD software and experience with engineering data analysis
• Proven expertise in structural modeling and simulation tools (e.g., ANSYS, NASTRAN, or equivalent)
• Strong understanding of material properties, stress analysis, fatigue assessment, load paths, design practices, and hand calculations
• Strong technical knowledge in core engineering principles, fundamental mechanics of composite materials, design, analysis, testing, and fabrication
• Excellent problem-solving and communication skills
• Self-driven with a strong sense of autonomy and adaptability in a dynamic environment
• Eligible to obtain and maintain an active U.S. Secret security clearance
QUALIFICATIONS
• Experience with clean sheet aircraft configuration
• Siemens NX proficiency
• FEMAP proficiency
• Experience with fast paced prototype design and manufacture of uncrewed aircraft
• Experience with high temperature materials selection
• Broad experience across a range of aircraft programs
• Hands-on experience with manufacturing
• Practical aircraft knowledge (pilots license, A&P, etc.)
Location: United States
Workplace: remote
About Lyra Health
Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions.
About the Role:
We are looking for a strategic leader to spearhead the execution of Lyra's machine learning roadmap. In this capacity, you will scale and mentor a high-impact AI/ML engineering team, ensuring our technical vision translates into production-grade systems that operate with clinical precision and high-availability reliability.
The ideal candidate is an experienced engineering manager who excels at balancing long-term technical strategy with hands-on people leadership. You possess a deep passion for developing technical talent, building robust cross-functional partnerships, and cultivating a culture of operational excellence within an AI-driven organization.
Why Lyra?
Collaborative Innovation: Thrive on working alongside brilliant colleagues to solve complex, mission-critical challenges.
Social Impact: Are deeply motivated by making a tangible difference and supporting individuals during their most vulnerable moments.
Cross-Functional Partnership: Enjoy collaborating with a diverse group of physicians, therapists, data scientists, and product leaders.
Responsibilities
Exceptional People Leadership: Facilitate technical growth through weekly 1:1s, performance management, and clearly defined career trajectories for machine learning engineers.
Roadmap & Strategy Ownership: Drive the quarterly planning lifecycle for AI/ML workstreams, prioritizing essential initiatives like clinical program mapping while ensuring alignment with broader business objectives.
Cultivate Engineering Culture: Establish an inclusive, high-performance environment by championing knowledge sharing, mentorship, and rigorous technical standards across the ML organization.
Strategic Technical Influence: Collaborate with Product Management and Data Science leads to transform complex clinical requirements into robust, safety-oriented production models.
ML SDLC Oversight: Maintain a high technical bar through design reviews, guiding the evolution from experimental research to stable microservices deployed on Kubernetes.
Multiplicative Technical Vision: Provide leadership through strategic architectural guidance and prototypes, focusing on scaling your team's collective impact and technical reach.
Qualifications
Proven experience in engineering management, specifically leading and scaling high-performing ML/AI teams within production environments.
Exceptional People Leadership: Strong ability to develop technical talent, manage performance, and build a collaborative team culture.
Strategic Mindset: Demonstrated experience balancing long-term technical strategy and model governance with day-to-day people leadership.
Deep ML/AI Domain Expertise: Strong technical foundation in machine learning systems (transformers, neural networks, fine-tuning) with the ability to lead others in these domains.
Operational Excellence: Mastery of the ML SDLC, including dataset lineage, automated evaluation, and deploying microservices at scale.
Cloud Architecture: Strong experience architecting cloud-native solutions on AWS (or equivalent cloud providers).
Strategic Communication: Exceptional ability to distill highly ambiguous technical problems into clear strategic priorities and influence leadership across engineering, product, and business domain disciplines.
Preferred Qualifications
Polyglot Engineering Background: Experience writing high-performance production code in Java or Kotlin.
Healthcare & Sensitive Data Expertise: Experience architecting AI/ML systems within highly regulated environments (HIPAA compliance, SOC2, handling PHI/PII).
MLOps / Platform Productization: Experience building internal developer platforms or ML tooling used by dozens of data scientists and engineers.
"We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.
By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra. We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR. Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives. If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form. This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice."
As a full-time Manager, AI/ML Engineering, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $161,000 to $221,500. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses.
Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:
Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances)
Lyra for Lyrians; coaching and therapy services
Equity in the company through discretionary restricted stock units
Competitive time off with pay policies including vacation, sick days, and company holidays
Paid parental leave
401K with up to 3% matching
Monthly tech allowance
We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration…and more!
We can’t wait to meet you.
Location: Chicago, Houston, Remote
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
As a
Data Analyst, Stewardship
you will play an integral role in all operational aspects of onboarding, managing and maintaining various datasets used by traders and quantitative researchers. You will work closely with a variety of stakeholders, including technology, front office, operations, research, and risk management. You should be comfortable investigating complex data support issues in a fast-paced environment
About the Role
This role is built around production support: Keeping EOD valuation data and reference data used for PnL production running correctly, and being the person who catches, diagnoses, and fixes data problems before they flow to downstream applications. You'll work across a global support queue, troubleshoot financial instrument reference and valuation data, and partner with engineering to turn recurring fixes into solutions.
Location:
Hybrid schedule. Can sit in our Chicago or Houston office. Remote may be possible for the right candidate.
Hours:
This role has non traditional hours. 10:30am-7:30pm Central time.
What You'll Do
Monitor and support the production of EOD valuation data and reference data used for PnL, including coverage during evening hours to bridge global support windows.
Respond to global requests via Slack and email to create, update, and troubleshoot financial instrument reference data.
Investigate and explain
why
and
how
data appears the way it does — tracing issues back through source systems, feeds, and business logic.
Diagnose data problems quickly under pressure and build ad-hoc scripts or tooling to resolve them.
Work across reference data and valuation data stores and related reference data tooling.
Escalate and collaborate with engineering and other Data Management teams on systemic issues.
What We're Looking For
Technical skills:
Proficiency in SQL and Python, with hands-on experience troubleshooting data issues or writing ad-hoc scripts to fix problems quickly, standing up tactical fixes in a scheduling environment, building data quality metric reports, and comfortable accessing different types of data storage and file formats.
Data tooling:
Familiarity with Oracle SQL, Python (requests, pandas, numpy, pyplot, and spark libraries), Bloomberg back-office-files, S3/Athena, Bloomberg Terminal and Bloomberg's Excel API plug-in is helpful; exposure to solving problems/workflows using AI CLI, Airflow scheduling, is a bonus.
Financial markets knowledge:
You should be comfortable with financial instruments and markets well enough to understand what the data represents, particularly for futures, options, and crypto on all asset classes across global exchanges.
Soft Skills:
Calm under pressure, with strong critical thinking — able to assess the real impact of a request or problem and respond with the right level of urgency and context to pull in the correct teams.
Communication:
Comfortable fielding requests from a global, technical user base across Slack and email, and explaining data behavior clearly to non-technical and technical audiences alike.
Process and governance:
Experience building data governance rules/controls and writing runbook procedures for resolving support issues.
The annual base salary range for this position is $100,000 to $120,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
[#LI-TL1]
Location: Toronto; San Francisco; Canada; United States; New York; Montreal
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
About the Role
Are you passionate about secure-by-design software engineering? Do you want to be at the forefront of AI innovation and enterprise security? Cohere's North team is seeking a Software Engineer with a focus on security to join our mission and make a significant impact. This isn't a review-and-advise role, you'll own and ship production security features that customers rely on every day.
Your Role:
As a Senior Software Engineer with a security focus, you'll play a pivotal role in building and securing North's architecture. Your responsibilities will include:
- Software Development: Contributing to the core development of security features such as OIDC/OAuth flows and session management, ensuring North's AI agents are secure
- Secure Coding: Writing secure code to handle OIDC tokens, user claims, and sensitive data, adhering to best practices for JWT validation and encryption
- Authentication and Data Protection: Implementing authentication mechanisms including user login, token management, and authorization checks to maintain data integrity
- Tool Integration: Pulling in new tools to enhance North's security capabilities
- DevSecOps: Design and implement secret management within Kubernetes clusters, including encryption and RBAC
- Cross-functional Collaboration: Demonstrate strong soft skills to communicate security best practices to stakeholders in a clear and concise manner
You may be a good fit if:
- Have 5+ years building user-facing security features in production systems
- Ship production Python confidently and frequently
- Understand OIDC/OAuth 2.0, JWT validation, and token lifecycle management deeply—not just conceptually
- Have hands-on experience with Kubernetes in both development and production environments
- Have worked across GCP, AWS, Azure, or hybrid/multi-cloud deployments
- Are comfortable working across the stack
- Communicate security concepts clearly to non-security engineers and stakeholders
- Thrive in fast-moving environments where priorities evolve
- Experience working with AI/ML systems or LLM-based applications
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Chicago, IL, USA; New York, NY, USA; San Francisco, CA, USA
About the Role
The Sr. Associate, Compliance Advisory partners with Complaints, Product, Operations, and other business teams to provide compliance guidance as a second line of defense. The role supports consumer complaint oversight, new and existing product operations advisory, agent readiness, member- and agent-facing communications, and process improvement while identifying consumer and regulatory risks and helping drive issues through remediation and implementation.
In this role, you can expect to
Complaints Management
Advise the first line of defense on complaint-management requirements, regulatory expectations, and industry best practices.
Review complaint-handling processes, procedures, controls, and documentation; identify gaps and recommend remediation, maintaining ownership of the issue lifecycle from informing the business of identified gaps and recommendations through completed remediation and implementation.
Recommend and implement process improvements that balance regulatory requirements with innovative, member-friendly solutions.
Demonstrate knowledge of and apply consumer financial regulations—including Regulations Z, E, and DD, UDAAP, NACHA, VISA Operating Standards, and applicable state requirements—through compliance advisory work and day-to-day responsibilities.
Support operational teams in investigating and resolving consumer complaints while analyzing trends and potential member impact.
Perform oversight and monitoring to promote timely, accurate, and appropriate complaint resolution.
Develop and refine complaint procedures, guidance, training materials, and educational resources.
Assist with responses to sensitive and regulatory complaints and inquiries.
Ensure complaint-related work, processes, procedures, and guidance align with all applicable requirements of the Complaints Policy.
Support regulatory, bank partner, and internal audit readiness by collecting, organizing, and validating requested documentation and helping ensure complaint processes and records are complete and current.
Review complaint dashboards and complaint trends to identify emerging risks, recurring issues, and opportunities for improvement.
Present compliance findings, complaint trends, risk assessments, recommendations, training, and process updates to business partners and relevant business stakeholders when needed.
Prepare executive-level reports and presentations on compliance findings data, trends, risks, and recommendations.
Compliance Advisory
Provide compliance advisory support for operations supporting new products and changes to existing products, including identifying compliance considerations and helping teams address related risks and requirements.
Translate complex compliance requirements and data-driven insights into clear, practical, and actionable guidance for business partners and member-facing teams.
Support agent readiness for new products and changes to existing products by partnering on agent-facing communications, member-facing communications, help center articles, training, and other agent-ready content.
Partner with Compliance, Legal, Quality Control, Quality Assurance, bank partners, and business teams to mitigate compliance risk.
Demonstrate strong proficiency in AI tooling and proactively identify responsible AI-enabled tools and workflows that help the Compliance Advisory team work more efficiently and effectively.
Use AI tooling to accelerate data analysis, complaint-trend identification, monitoring, oversight, research, documentation, reporting, and preparation of business-partner guidance while maintaining appropriate human review and compliance with confidentiality requirements.
Leverage AI-enabled insights to help business partners make faster, better-informed decisions and improve outcomes for members.
Support quality assurance and quality control business partners as a second line of defense by helping ensure the program is regulatory sound, appropriately designed, and operating effectively for its intended purpose.
Serve as a knowledgeable Compliance presence in meetings with bank partners and business partners by contributing to discussions, answering questions, and identifying compliance considerations.
Core Competencies
Consumer complaints and complaint-program management and oversight.
Regulatory knowledge, including the ability to interpret applicable regulations and translate them into practical, risk-based guidance for products, processes, and member experiences.
Risk identification, escalation, and remediation.
Executive and business-partner communication and presentation skills.
Data analysis, automation, and practical application of AI tools.
Cross-functional collaboration and stakeholder management.
Process documentation, monitoring, training, and continuous improvement.
Independent execution and resourcefulness, including taking end-to-end ownership.
To thrive in this role, you have
5+ years of compliance experience in fintech, banking, or financial services, including meaningful work supporting consumer financial products and a track record of operating with a high degree of independence
Direct, hands-on experience with deposit accounts and credit products
Hands-on experience with consumer complaints and complaint-program management and oversight
Strong regulatory knowledge, with the ability to interpret applicable regulations and translate them into practical, risk-based guidance for products, processes, and member experiences
A sharp instinct for risk identification, escalation, and remediation — and the persistence to see issues through to closure
Experience supporting regulatory exams, bank partner reviews, or internal audits
Executive and business-partner communication and presentation skills
Comfort with data analysis and automation, and practical experience applying AI tools to real work
A collaborative approach to cross-functional work and stakeholder management
Experience with process documentation, monitoring, training, and continuous improvement
A bias toward independent execution and resourcefulness, including taking end-to-end ownership from problem to solution
Comfort working in a fast pace environment that doesn't slow down
#LI-Onsite #LI-LB1
Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.
Wage Notice
$101,000
—
$140,000 USD
A little about us
At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential.
We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.
We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.
We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.
Because if we don't—who will?
*Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.
What we offer for our full-time, regular employees
🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location.
💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees.
✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life.
🏝 Generous vacation policy and company-wide paid days off
🫂 1% of your time off to support local community organizations of your choice
👟 Annual wellness stipend to use towards eligible wellness related expenses
👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
👪 Access to family planning reimbursement
💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress
We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.
Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact:
accommodations@chime.com
.
To learn more about how Chime collects and uses your personal information during the application process, please see the
Chime Applicant Privacy Notice
.
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
As a Strategic Account Executive at Anthropic, you'll partner with the most innovative AI-native companies in their hypergrowth journey, working directly with founders and leadership teams to shape the future of AI adoption. You'll own our most strategic customer relationships, leading complex commercial discussions while driving deep engagement between these pioneering companies and Anthropic's executive team.
Responsibilities:
Own and deepen relationships with founder/CEO-level executives at the fastest-growing AI companies, serving as their primary strategic partner for AI infrastructure decisions
Lead complex, high-stakes commercial negotiations spanning multiple stakeholders, including founders, operators, and venture capital firms
Drive strategic alignment between customer roadmaps and Anthropic's product vision, advocating for customer needs at the highest levels of our organization
Partner closely with technical counterparts to ensure seamless execution and customer success
Identify emerging market trends and opportunities based on a deep understanding of how leading AI companies are building and scaling
Develop and execute account strategies that support customers through various growth stages, from early startup to category leader
Navigate complex organizational dynamics while maintaining strong relationships across both customer and internal stakeholders
You may be a good fit if you have:
15+ years of experience in strategic sales or account management, with proven success managing high-complexity, strategic customer relationships
Track record of leading and closing sophisticated commercial deals with multiple stakeholders
Experience working directly with founders and C-level executives at high-growth technology companies
Strong business acumen and ability to understand technical concepts sufficiently to engage in strategic discussions about AI implementations
Proven ability to influence product direction and strategy based on customer needs
Excellence in stakeholder management across multiple levels, from technical teams to C-suite
Outstanding communication and presentation skills, with an ability to articulate complex value propositions to various audiences
Strong candidates may have:
Experience working with venture capital firms or understanding of the venture ecosystem
Background in consumption-based/usage-based pricing models
Experience supporting customers through hypergrowth phases
Understanding of the AI/ML landscape and key trends
Track record of helping define commercial frameworks for emerging technology markets
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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 - Colombia
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as Twilio’s next Technical Support Expert 2
About the job
This position is needed to support our customers’ use of the Twilio platform, and help customers get the best experience from Twilio’s products. You will function as the voice of Twilio to our customers and partners, and operate as a subject matter expert for Twilio’s APIs and SDKs.
We are looking for our next Technical Support Expert 2 to join our Accounts & Billing team, who will be dedicated to understands and resolves basic & routine customer requests, identify customer escalations and Document every customer interaction. This is a customer facing role. Most customer interactions happen within Zendesk, with a few phone calls or chats, in-person meetings and Slack chats sprinkled in.
Responsibilities
In this role, you’ll:
Understands and resolves basic & routine customer requests, including customer escalations via phone/email/chat/side channel/live support or any other support/communication channel.
Communicates basic concepts to customers with appropriate empathy and urgency
Leverage Twilio's AI tools and other automations (macros and related tools) to assist and efficiently communicate with customers
Prioritize the queue based on status, priority, entitlement. Follow guidance prioritizing caseload to achieve SLA compliance targets. Meet SLA requirements per channel/role
Document every customer interaction (email, phone, chat, side-channel communications). Document every internal interaction (research, cross-team engagement). Contributes to Knowledge articles.
Follow established guidelines on tagging, categorizing, merging tickets. Leverage runbooks/wiki, macros, and other tools to efficiently resolve tickets. Escalate to senior technical resources to drive ticket resolution
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
*Required:
3+ years of experience
Experience with account reconciliation or data analysis, including technical troubleshooting skills
Fluency in English (verbal, comprehension, listening, and writing)
Availability to work non-standard, on-call rotation weekend and holiday hours
Ability to diplomatically address customer concerns and provide feedback
Demonstrated attention to detail, with the ability to quickly ramp up on new products, new technologies, and evolving customer or business needs
Strong problem-solving skills and critical thinking
Desired:
Bachelor's Degree or equivalent certifications and work experience
Escalation Management: Knowing when to escalate and ability to de-escalate difficult/complex customer situations in a live environment
Basic case management experience/skills
Proficiency with Excel, SQL, database queries, ZenDesk
Experience with Salesforce, Zuora or other financial management software
Location
This role will be remote, and based in Colombia.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: Mapbox Helsinki
Workplace: Remote
Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.
As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow.
WHAT YOU'LL DO
This role is scoped by skill rather than by product. The problems below span multiple departments and show up across our Search and Places data work, our Location and Navigation Intelligence work, and the Platform work that makes Mapbox usable by agents. You'll be hired into one specific team or product area, but you'll work across teams where your expertise meets the highest-priority AI problems. You should expect to move between teams and tech stacks as the work demands.
At this level you own the technical design and delivery of a multi-component AI system, and you are accountable for the quality of what ships in your area.
IN THIS ROLE, YOU WILL:
- Define how the products you own should work, build a measurement framework for it, and build evaluation systems for non-deterministic behavior. Formulate hypotheses around the products we build and seek the signal needed to validate them. Define what a correct result is for a given input and state, determine whether to assemble datasets from real usage or hand-written cases, and gate changes on regression results.
- Run continuous evaluation of the products we build, whether APIs, SDKs, data representations, or reference applications, from the position of the end user, whether developer, agent, or consumer. Assess the gaps such as misuse of parameters or integration anti-patterns, recommend the fixes, and make sure they land.
- Own the MVP against an agreed north star technical design, and balance technical perfection against shipping useful increments.
- Build data pipelines and the tooling around them: ingestion, conflation, entity resolution, quality checks, and the batch and streaming jobs that keep a large dataset current.
- Track and pull external datasets, models, and benchmarks from published research and open-source releases. Evaluate what fits the problem and constraints , and decide when to adopt what exists versus build your own.
- Design feedback loops so that using a product generates data that improves it. Instrument systems so failures arrive with enough context to reproduce, then turn the recurring ones into evaluation cases.
- Design the boundary between a model and the tools it calls. Build or improve the model harness, decide what the model handles, what it delegates, and how to keep it working from the state it actually fetched.
- Work to a latency and cost target per request: streaming, partial results, caching, model routing, prompt structure.
- Build the internal harnesses and tools (CLI, MCP, and others) your team needs to iterate quickly, and share the parts that generalize with other teams.
- Raise the bar on your team through code and design review, and bring other engineers up on eval practice.
- Some of the technical questions in this area are still open. You will help answer them.
- Participate in an on-call rotation to ensure our systems remain available to customers 24/7. Team members alternate as the on-call primary responder, which may require immediate response outside normal working hours, including weekends.
WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE
- Bachelors degree in STEM discipline and 5+ years of software engineering experience, with production ownership of services, pipelines, or SDKs.
- 2+ years shipping LLM-backed features to real users, in systems that carried error budgets, on-call rotations, and customers who noticed regressions.
- Direct experience or deep understanding of designing evaluations for non-deterministic systems. You can describe a dataset you built and the failure it caught.
- Data engineering depth: SQL, at least one distributed processing framework, and experience with pipelines where a wrong record mattered more than a slow one.
- Fluency with tool calling and agent orchestration, including the failure modes: stale context, hallucinated arguments, silent partial success, unbounded loops.
- Working knowledge of more than one agent harness, and opinions about where each of them is weak.
- Strong Python or TypeScript, and comfort reading code in whatever language the caller happens to be written in.
- Experience diagnosing latency in a distributed request path.
- Comfort with ambiguity, and the judgment to ship something narrow that works while the general solution is still unclear.
- Clear written communication. Mapbox is distributed across time zones and we make most decisions in documents and Slack.
NICE TO HAVE TRAITS FOR THIS ROLE
- Geospatial data experience: routing, geocoding, POI or address data, OpenStreetMap, or conflation of overlapping sources.
- Public API or SDK design experience, particularly for developers you never talk to.
- Experience building against MCP or similar tool transports.
- Experience running evals in CI, with a commercial harness or one you built.
- Automotive, in-vehicle infotainment, CarPlay, or Android Auto experience.
- Voice pipeline experience: streaming ASR, TTS, barge-in, endpointing, wake word.
- Work under constrained compute, offline, or intermittent connectivity.
- Experience operating a product through its first external integrations, where the customer finds the gaps before you do.
WHAT WE VALUE
In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders:
- We value high-performing creative individuals who dig into problems and opportunities.
- We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people.
- We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company.
- We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply.
HOW WE SUPPORT YOU
- Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable.
- Country-Specific Care & Coverage: Private health, dental, and income protection plans tailored to elevate your regional statutory benefits.
- Family-First Support: Family care, maternity and paternity leave policies to support your growing family.
- Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth
- Balance & Brainpower: Mental health support for you and your dependents.
- Rest & Recharge: Paid time away, company holidays, and generous absence policies.
- Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO.
By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application.
We are committed to a fair and equitable hiring process. We do not discriminate against any protected class.
#LI-Remote
Location: Ukraine
Workplace: remote
Creatio is a global vendor of an agentic CRM & workflow platform with no-code and AI at its core. We help organizations automate customer and operational workflows achieving the fastest time-to-value and the highest ROI on the market. Millions of workflows run on Creatio daily, supporting thousands of clients in over 100 countries. Genuine care for our clients and partners is at the heart of our DNA.
We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.
In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.
Who We’re Looking For:
We are looking for a
Mobile Developer
to join Creatio’s Mobile Domain team and help build product experiences for users who work on the go.
You will work on a cross-platform mobile solution built with Flutter and integrated with native Android and iOS applications. The role combines cross-platform development, native integrations, offline scenarios, and reusable configurable components within Creatio’s metadata-driven platform.
This is a hands-on engineering role with ownership at the feature and component level. You will design and deliver features end to end while working with modern engineering approaches, including AI-assisted and agentic development.
Responsibilities:
Design and implement mobile features end to end across Flutter and native Android/iOS layers.
Build reusable components and business features using native device capabilities, REST APIs, and offline scenarios.
Own the technical design and quality of delivered features, including data flow, edge cases, and testing.
Develop integrations between cross-platform and native functionality using platform channels.
Investigate and resolve production issues, including platform-specific, performance, and synchronization problems.
Review code and contribute to engineering guidelines, reusable components, and internal tooling.
Participate in technical research, prototyping, and validation of new capabilities.
Mentor middle and junior engineers through reviews, pairing, and knowledge sharing.
Collaborate with Tech Lead, Engineering Manager, QA, and Product teams to define workable technical solutions.
Occasionally contribute to backend (.NET/C#) or web (Angular/TypeScript) components.
Contribute to AI-assisted and agentic engineering practices within the team.
Requirements:
Must have
4+ years of professional software development experience, including 3+ years in mobile development.
Strong hands-on experience with Flutter and Dart.
Experience integrating cross-platform modules with native Android/iOS applications and working with platform-specific functionality.
Hands-on experience with JavaScript and TypeScript.
Good understanding of state management and unidirectional data flow, such as BLoC.
Solid knowledge of Clean Architecture, SOLID principles, dependency injection, and modular design.
Experience with REST APIs, JSON, local persistence, and offline/synchronization scenarios.
Familiarity with at least one native mobile technology: Java, Kotlin, Objective-C, or Swift.
Strong testing practices, including unit and widget testing.
Experience with Git, CI/CD, automated testing, and static analysis.
Practical exposure to AI-assisted development and agentic workflows, or strong interest in this area.
English level: Upper-Intermediate (B2) or higher.
Nice to have
Backend (C#/.NET) or web (Angular/TypeScript) experience for occasional full-stack contributions.
Experience with SDK development, packaging, linting, and unit testing.
Experience with metadata- or schema-driven UI.
Background in CRM, ERP, field service, or other data-heavy enterprise mobile applications.
Experience with native device capabilities and integrations (e.g. geolocation, camera, push notifications, OAuth/SSO), real-time communication, analytics, accessibility, and localization.
Experience with enterprise mobility, including MDM/MAM, enterprise distribution, and corporate security requirements.
What to expect from us:
Growth & Development:
Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.
Flexibility & Well-Being:
We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.
Recognition & Impact:
A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.
Innovative Culture:
Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.
Benefits & Rewards Package:
We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
Location: Poland
Workplace: remote
Creatio is a global vendor of an agentic CRM & workflow platform with no-code and AI at its core. We help organizations automate customer and operational workflows achieving the fastest time-to-value and the highest ROI on the market. Millions of workflows run on Creatio daily, supporting thousands of clients in over 100 countries. Genuine care for our clients and partners is at the heart of our DNA.
We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.
In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.
Who We’re Looking For:
We are looking for a
Mobile Developer
to join Creatio’s Mobile Domain team and help build product experiences for users who work on the go.
You will work on a cross-platform mobile solution built with Flutter and integrated with native Android and iOS applications. The role combines cross-platform development, native integrations, offline scenarios, and reusable configurable components within Creatio’s metadata-driven platform.
This is a hands-on engineering role with ownership at the feature and component level. You will design and deliver features end to end while working with modern engineering approaches, including AI-assisted and agentic development.
Responsibilities:
Design and implement mobile features end to end across Flutter and native Android/iOS layers.
Build reusable components and business features using native device capabilities, REST APIs, and offline scenarios.
Own the technical design and quality of delivered features, including data flow, edge cases, and testing.
Develop integrations between cross-platform and native functionality using platform channels.
Investigate and resolve production issues, including platform-specific, performance, and synchronization problems.
Review code and contribute to engineering guidelines, reusable components, and internal tooling.
Participate in technical research, prototyping, and validation of new capabilities.
Mentor middle and junior engineers through reviews, pairing, and knowledge sharing.
Collaborate with Tech Lead, Engineering Manager, QA, and Product teams to define workable technical solutions.
Occasionally contribute to backend (.NET/C#) or web (Angular/TypeScript) components.
Contribute to AI-assisted and agentic engineering practices within the team.
Requirements:
Must have
4+ years of professional software development experience, including 3+ years in mobile development.
Strong hands-on experience with Flutter and Dart.
Experience integrating cross-platform modules with native Android/iOS applications and working with platform-specific functionality.
Hands-on experience with JavaScript and TypeScript.
Good understanding of state management and unidirectional data flow, such as BLoC.
Solid knowledge of Clean Architecture, SOLID principles, dependency injection, and modular design.
Experience with REST APIs, JSON, local persistence, and offline/synchronization scenarios.
Familiarity with at least one native mobile technology: Java, Kotlin, Objective-C, or Swift.
Strong testing practices, including unit and widget testing.
Experience with Git, CI/CD, automated testing, and static analysis.
Practical exposure to AI-assisted development and agentic workflows, or strong interest in this area.
English level: Upper-Intermediate (B2) or higher.
Nice to have
Backend (C#/.NET) or web (Angular/TypeScript) experience for occasional full-stack contributions.
Experience with SDK development, packaging, linting, and unit testing.
Experience with metadata- or schema-driven UI.
Background in CRM, ERP, field service, or other data-heavy enterprise mobile applications.
Experience with native device capabilities and integrations (e.g. geolocation, camera, push notifications, OAuth/SSO), real-time communication, analytics, accessibility, and localization.
Experience with enterprise mobility, including MDM/MAM, enterprise distribution, and corporate security requirements.
What to expect from us:
Growth & Development:
Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.
Flexibility & Well-Being:
We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.
Recognition & Impact:
A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.
Innovative Culture:
Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.
Benefits & Rewards Package:
We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We're hiring a Senior Autonomy Engineer focused on Spatial Intelligence to join our team. In this role, you will bridge the gap between classical spatial geometry and next-generation AI. You will lead the design and development of robust state estimation, long-term mapping, and localisation loops, with a specific focus on integrating modern machine learning techniques and foundation geometry models into our core navigation stack. Your work will ensure our robots possess rock-solid spatial awareness and execute highly reliable trajectories over extended deployments in complex, real-world environments.
WHAT YOU'LL DO
- Architect the spatial intelligence layer that unifies 3D geometry with semantic scene understanding to ensure safe and efficient navigation and locomotion in complex environments
- Develop advanced 3D spatial reasoning capabilities that provide our robots with long-term persistent spatial memory and a deep contextual awareness of their surroundings.
- Own the entire perception lifecycle by training large-scale multimodal networks and deploying and integrating them for ultra-low latency performance on edge hardware
- Bridge the gap between conceptual research and physical reality by implementing state-of-the-art 3D representations that track and interpret the environment state
- Collaborate with cross-functional teams to bridge the gap between large-scale model training and reliable robot integration.
- Stay ahead of the field, rapidly evaluate new model architectures, benchmarks, and datasets to guide our embodied AI roadmap.
WHAT WE'RE LOOKING FOR
- Exceptional software engineering skills with a proven track record of shipping complex ML systems into production.
- Strong background in 3D scene understanding and the design of efficient spatial data structures.
- Deep experience in machine learning for vision or embodied AI, ideally with large models (VLMs, transformers, or multi-modal architectures).
- Proficiency in PyTorch and hands-on experience building, fine-tuning, and deploying large-scale ML systems.
- High-impact individual contributor capable of taking projects from conceptual research to high-performance robot code.
- Comfortable working in a fast-moving, research-driven environment with evolving models, data, and tools.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: Paris, France
Workplace: Hybrid
HEALTH CAN’T WAIT.
Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t.
Alan exists to end the wait.
Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way.
So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience.
We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR.
Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond.
⭐ GENERAL SECRETARY ASSOCIATE INTERNSHIP ⭐
The position is open for gap year or end-of-study interns with a starting date in March 2027, for a six-month internship. It is not open to MBA students.
- The Associate supports the General Secretary on top business priorities, such as building new processes internally and externally.
- This role offers a unique opportunity to work on a diverse range of projects in a dynamic and innovative environment.
⭐ DETAILED MISSIONS ⭐
The list below is not exhaustive as it will depend on the company priorities during your internship. However it gives a good overview of the range of topics and tasks.
Regular missions and recent projects
- Sales & Business - Prepare meetings with external stakeholders, support in following up post meetings, track actions to conversion and maintain stakeholder momentum.
👉Help in the organization of events with investors and customers.
- Corporate & Governance - Support research and projects related to regulatory stakeholders, fundraisings and governance matters.
👉Contribution to board pack preparation and management (content, timelines, Q&A); conduct targeted legal and market research.
- Internal missions - Work on highly structural topics (salary grids, internal frameworks). Improve internal processes and cross-team coordination to ensure Alan can scale without compromising its core values.
👉Harmonization of the weekly internal communication
- Brand & Communication - Strengthen the HR & Corporate presence at major events and on social channels, organise internal and external events to build the Alan network and systematize outreach and leverage connections globally.
👉End-to-end organization of events with top schools in our offices
- Product & Technical topics - Support cross-functional projects through research, synthesis, and stakeholder coordination, turn insights into actionable recommendations for product and operations.
- Talent - Sourcing and recruiting the next GS Associate.
👉Development of the hiring process for the next GS Associate
⭐ PROFILE & COMPETENCIES ⭐
Skills
- Proactive & curious - You will be expected to deliver quickly and well on the tasks assigned to you, while to also always be going the extra-mile and show proactive thinking.
- Analytical judgment and critical thinking - GS Associate produces a lot of research and analysis. This requires the ability to frame the right questions, evaluate and problem-solve including possible outcomes.
- Versatility and stellar execution - You are comfortable with context switching while maintaining impact.
- Organization and autonomy - You are well-served in missions requiring precision and reliability.
- Crisp thinking and clear communication - You communicate effectively and concisely .
- Step back - You have the ability to take a step back and understand the business needs related to any mission.
- Technical appetite - Having an aptitude in or appetite for automation, AI and/or data analysis is a plus.
Languages
- Fluency in spoken and written English.
- Fluency in spoken and written French.
Background
We welcome applications from (at least M1 graduated) candidates with diverse educational backgrounds, including but not limited to:
- Business schools (HEC, ESSEC, ESCP, LSE …)
- Engineering schools (Polytechnique, Mines Paris, Ecole des Ponts, CentraleSupelec, Imperial … )
- Law schools or political sciences/communication/HR masters in various schools (Science Po, Assas, La Sorbonne, Dauphine…)
- Data science or mathematics programs Other relevant fields or schools (Bocconi, Politecnico, TU Delft, UCL, Oxford, Cambridge)
Diplomas matter to an extent but if you don’t have one and have built a project or a company, we’d love to hear from you so please send your application!
🙌 PERKS & BENEFITS https://alan.com/about/life-at-alan/a/perks
At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.
THEREFORE, WE OFFER:
- All the tools you need. Top of the range equipment: Macbook Air, keyboard, laptop stand, monitor, and Bose noise-canceling headphones.
- Flexible vacation policy and flexible working hours. Organize your time as you wish.
- Transport. Generous transit benefit
- Learning & Training opportunities. A highly flexible Training policy free books and budget to attend and speak at conferences if the opportunity arises.
- Personal growth through coaching: At Alan, coaching isn't just a perk - it's core to who we are. Every Alaner is paired with a dedicated coach from day one, who helps maximize their impact, nurture engagement, and navigate Alan's values to develop their full potential. Learn more about our coaching culture https://alan.com/en/blog/discover-alan/a/alan-culture-excellence-through-coaching.
IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES.
If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply as it can only bring learnings or success.
If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements?
Remember, this is just a guide, not a checklist.
We'll be thrilled to receive your application!
🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. #LI-DNP
Location: Munich, Germany
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 an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to large enterprise organizations across DACH. You'll drive the adoption of safe, frontier AI by securing strategic deals with major corporations, technology companies, and research institutions. You'll leverage your consultative sales expertise in the enterprise sector to propel revenue growth while becoming a trusted partner to enterprise stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across business operations, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with enterprise decision-makers in the German market.
Responsibilities:
Win new business and drive revenue for Anthropic within the enterprise sector across DACH. Navigate complex enterprise organizations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close
Design and execute innovative sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze enterprise market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns
Spearhead market expansion by identifying new use cases within enterprise departments, innovation centers, and operational offices. Collaborate cross-functionally to differentiate our offerings for enterprise applications
Navigate complex enterprise stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus across DACH business culture and practices
Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the German enterprise landscape. Provide insights that strengthen our value proposition for enterprise customers
Continuously refine the enterprise sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency
You may be a good fit if you have:
Native German speaker
with excellent written and verbal communication skills in German and English
7+ years of B2B sales experience in enterprise technology, preferably in SaaS or emerging technologies
Specialised sales industries experience: Public Sector
A track record of managing complex sales cycles within large enterprise organizations and securing strategic deals by understanding both technical requirements and business use cases
Demonstrated ability to navigate enterprise bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments
Extensive experience negotiating complex agreements within enterprise procurement frameworks and policies
Proven experience exceeding revenue targets in the enterprise sector by effectively managing an evolving pipeline and sales process
Excellent communication skills and the ability to present confidently to various enterprise audiences, from technical teams and business analysts to senior executives
Deep understanding of enterprise buying cycles, decision-making processes, and key pain points, particularly within the German market
A strategic, analytical approach to assessing the enterprise market combined with creative, tactical execution to capture opportunities
A passion for and/or experience with advanced AI systems and their applications in enterprise environments. You feel strongly about ensuring frontier AI systems are developed safely and ethically for business use
What We Offer:
Competitive base salary and commission structure
Equity participation in Anthropic's growth
Comprehensive benefits package
Opportunity to shape the AI industry in DACH and EMEA
Professional development and career growth opportunities
Location:
Munich, Germany (hybrid working available)
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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: Munich, Germany
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 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 an Applied AI Architect on the Partnerships team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy.
Responsibilities:
Strategic Technical Partnership
: Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues.
Joint Solution Development:
Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment
Customer Deal Support:
Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.
Partner Ecosystem & Events:
Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy.
You may be a good fit if you have:
5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager
Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders
Experience designing scalable cloud architectures and integrating with enterprise systems
Familiarity with common LLM frameworks and tools or a background in machine learning or data science
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
New York, New York, United States; For applicants from the European Union, please review
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