Location: Remote
Workplace: remote
At Offchain, we aren’t just building products: we’re leading a movement.
As pioneers in blockchain scalability and security, we're at the forefront of transforming how the world interacts with decentralized applications. We're laying the foundation that will define the next generation of digital commerce, governance, and human interaction. This involves tackling real-world challenges that come with scaling blockchain technology, without compromising on its core principles: decentralization, security and transparency.
At the center of this vision is our people. Our team is made up of thinkers and doers that embrace new challenges and seek solutions that push existing boundaries. If you’re energized by solving unprecedented problems, and believe in the role that decentralized systems will play in creating a more equitable digital future, then we want to hear from you.
Why Offchain?
Offchain is setting the pace for the entire Ethereum ecosystem. We built the Arbitrum stack that powers Arbitrum One, the most widely adopted Ethereum scaling solution that exists today.
Arbitrum’s ecosystem is undergoing tremendous growth with hundreds of projects and dApps on Arbitrum One today. Over 100 different teams have used Offchain technology to build their own Arbitrum chains. Major players in the space, Robinhood, BlackRock, Ethena Labs, Securitize, Aave, and Apechain are all using the Arbitrum stack.
Arbitrum’s thriving ecosystem wouldn’t exist without our advanced technology stack. Arbitrum, Prysm, ZeroDev. These aren’t just product names. These are tools that are actively reshaping what's possible on Ethereum and advancing its core infrastructure.
To top it all off? We’re backed by $124 million in funding. We’ve demonstrated consistent execution with billions in secured value, thousands of supported projects, and infrastructure processing millions of transactions seamlessly.
The Role:
The Developer Platform team builds KMS, the key-management and signing service behind ZeroDev's embedded, non-custodial wallets. These are smart-account / account-abstraction wallets that developers integrate directly into their applications. End users retain control of their keys, while KMS security orchestrates wallet creation, authentication and signing on top of a third-party signing provider.
You'll own production Go services and the cryptographic recovery and trust-model systems around them, working in a small, high-ownership team. This is security-critical infrastructure with a high review bar and external security audits. You should already be comfortable with applied-cryptography fundamentals such as public-key cryptography, signatures and key management. You don’t need to be a cryptographer or have prior experience with areas like MPC or TEEs, but you should be able to reason about cryptographic systems and their security implications.
As the platform evolves, you'll also help expand it beyond interactive consumer wallets toward programmatic and automated signing, and programmable transaction policies.
What you'll work on:
Backend services: build and operate Go services that power wallet creation, authentication, and signing at scale
Key recovery and the committee trust model: distributed key generation and secret sharing that keep the service non-custodial, with recovery authority split across independent committees so no single party holds a user's key
Trusted Execution Environments: reconstructing and operating on key material under hardware isolation and remote attestation
Authentication and signing-provider integration: the user-facing auth methods that gate signing (passkeys / WebAuthn, OAuth, OTP, sessions, 2FA), and integrating with a third-party signing provider (authorization and policy flows, scoped credentials, quorum / consensus approvals)
Security review and hardening: writing design docs and decision records, working directly with external security auditors, and turning a high review bar into shipped code
Production operations on Kubernetes: observability and alerting, secrets and certificate management, on-call, and the compliance controls the domain requires (sanctions screening, PII-safe handling)
Who you are:
Strong backend engineer who has shipped and operated production services in Go (or an adjacent systems language and is eager to go deep in Go)
Security-first by default: You naturally think about threat models, blast radius and key custody, and write code that holds up to security-critical review
Comfortable with applied-cryptography: You understand fundamentals such as public-key cryptography, signatures and key management, and can reason about how they apply to production systems.
You don't need to be a cryptographer!
Solid on distributed systems and API design: You’re comfortable reasoning about idempotency, failure modes and clean service boundaries
Operationally experienced: You’ve worked with production infrastructure and are comfortable with Kubernetes, observability and incident response
Clear written communicator: You can explain technical decisions through design docs and decision records, and work effectively in a collaborative, review-heavy environment.
Nice-to-have
You don't need to have worked with all of these. Experience in one or more would be valuable.
Trusted Execution Environments (TEE) such as AWS Nitro Enclaves, Intel SGX / TDX or similar
Threshold cryptography / MPC, including DKG, FROST or other threshold signatures, verifiable secret sharing or resharing
Account abstraction, including ERC-4337, EIP-7702, smart accounts or embedded / non-custodial wallets
Custody or signing infrastructure such as Turnkey or Fireblocks, either as an integrator or builder
HSMs, YubiKey / PIV or secure-element integrations
Third-party security audits and driving remediation through to completion
Authentication technologies such as WebAuthn / passkeys and OAuth / OIDC, or experience with the Go crypto ecosystem
Perks:
Remote-first global workforce + NY office
Professional reimbursement program (facilitates industry conference attendance, certifications, and more)
Medical, dental & vision coverage (US + some other countries)
401k retirement plan + company match (US only)
Wellness stipend
Home office set up / ergonomic equipment program
Attention Offchain Job Seekers:
This role cannot be performed in California, or Colorado.
Please be advised that there has been a rise in fraudulent recruiter activities, particularly within the Web3 space. If you would like to confirm whether someone is an Offchain employee or the legitimacy of an offer you received, please email jobs@offchainlabs.com
At Offchain, we are committed to building a welcoming and supportive workplace for all employees, regardless of their background or identity. We strive to create an environment where everyone feels valued and has an equal opportunity to succeed and thrive. We encourage candidates from all walks of life to apply and join our team.
Удалённоsenior401k retirement plan + company match (US only); We encourage candidates from all walks of life to apply and join our team
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic is growing fast, and recruiting is one of the highest-leverage functions in the company. We’re constantly investing in systems and processes to support our rapid scale and enable our recruiters and hiring teams to be more efficient. The current technology stack is built and operated by several teams across third-party platform configuration, custom internal tooling, analytics and forecasting, core people systems, and an AI tooling layer.
We're looking for a Technical Program Manager to own the planning and execution rhythm that connects these teams, drive the technical interconnection of the systems, and give Recruiting leadership a single coherent view of priorities, dependencies, and progress.
You’ll help evolve how recruiting functions through the use of Claude, connecting that work to where the broader company is going. That includes building the bridge between recruiting and company-wide roadmap and headcount planning so we're staffing proactively rather than reacting.
This is a first-of-its-kind role at Anthropic. It sits within the centralized Technical Program Management organization and partners directly with Recruiting and People leadership. Part of the job will be to help us figure out the right long-term model for TPM support for the People org.
Responsibilities
Build and run the cross-team planning and operating cadence for recruiting technology: a shared roadmap, clear DRIs, sequenced dependencies, and a single source of truth on priorities and status for Recruiting leadership
Drive the highest-priority cross-team programs end to end, from scoping and tradeoff decisions through delivery, across teams that don't share a reporting line
Lead the technical interconnection work: integration across third-party platforms, internal custom tooling, and the data and analytics layer so information flows cleanly end to end
Partner with engineering and AI teams to bring Claude deeper into the recruiting workflow, balancing speed of adoption with the controls and human-in-the-loop design that make it trustworthy
Connect recruiting to company-wide planning: build the link to roadmaps across the business so headcount needs are visible early and recruiting can staff proactively
Own build-vs-buy and vendor evaluations where they cross team boundaries, including the security, contract, and integration tradeoffs that come with them
Establish the program infrastructure: governance, status reporting, risk tracking, and the escalation paths that let leadership make tradeoffs quickly
Help define the durable model for TPM support in the People organization, including scope, headcount, and reporting structure
You may be a good fit if you
Have 6+ years of technical program management experience, with a track record of building cross-functional programs from scratch in ambiguous environments
Have driven planning and execution across teams that don't share a reporting line, and are comfortable influencing without authority
Have technical depth in systems integration: APIs, data flows between SaaS platforms, and the tradeoffs between configuring third-party tools and building custom
Have worked with or close to recruiting, people, or HR technology and understand how an ATS, HRIS, scheduling, and analytics stack fit together
Can build trust with engineers, recruiters, analysts, and executives, and translate between them
Are genuinely excited about using AI to change how a core business function works, and curious about what recruiting looks like when frontier AI is in the loop on every step
Thrive when the role itself is still being defined and see shaping it as part of the job
Strong candidates may also have
Background in recruiting operations, people analytics, or HR tech product management
Experience integrating AI or LLM-based tooling into operational workflows
Familiarity with headcount planning, workforce planning, or connecting business roadmaps to hiring plans
Experience teaching partner teams how to work with technical program management when the function is new to them
Deadline to Apply:
None, applications will be received on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$290,000
—
$365,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
We're looking for experienced engineers to build and scale the database infrastructure that powers Claude's products and Anthropic's research. As a Software Engineer on the Databases team, you'll architect and operate the systems that let millions of users interact with Claude while also supporting frontier AI research workloads.
You'll help set the database strategy for Anthropic: designing systems that handle billions of API requests, building storage that runs cleanly across GCP, AWS, and a range of deployment models, and creating the reliable data layer that lets research move fast.
The Databases team spans three areas: the core database platform (data plane and control plane), data movement (migrations, backfill, and change data capture), and caching. We're hiring across all three.
Key Responsibilities
Drive the technical direction for database solutions used across Product and Research
Design and implement database solutions that scale to support millions of users across Claude's product ecosystem
Build and scale database systems through 100x+ growth while maintaining reliability and performance
Build the database platform that lets Anthropic engineers ship without thinking about databases or scaling.
Architect data storage solutions that operate across GCP, AWS, first-party deployments, third-party deployments, and other environments
Develop database infrastructure that serves both product and research workloads with different performance characteristics
Build data movement infrastructure (migration tooling, backfill, and change data capture pipelines) that safely consolidates and moves data across the organization
Design and operate caching infrastructure, including CDC-driven cache invalidation, that keeps Anthropic's hottest paths fast and correct
Partner with product and research teams to understand data requirements and build infrastructure that accelerates their work
Optimize database performance, reliability, and cost efficiency at scale
Make build-vs-buy decisions for database technologies
Minimum Qualifications
Significant experience as a software engineer building and operating production database or storage systems
Deep knowledge of distributed database architectures and OLTP systems at scale
Proficiency with SQL and at least one major relational or distributed database engine (e.g., PostgreSQL, MySQL, Spanner, CockroachDB, DynamoDB)
Track record of leading large, complex infrastructure projects as an engineer or tech lead
Ability to balance moving quickly with the reliability needs of production systems
Strong technical leadership and cross-functional collaboration skills
Preferred Qualifications
10+ years building and scaling database systems, with 3+ years leading large-scale projects or teams
Experience scaling databases through periods of rapid growth at high-growth companies
Experience operating Spanner, CockroachDB, TiDB, AlloyDB, or other globally distributed SQL databases in production
Experience with Redis, Temporal, vector databases, or async job processing frameworks
Experience with change data capture (Debezium or similar), large-scale data migration, or streaming data infrastructure
Experience building multi-cloud or hybrid cloud database solutions
Knowledge of database orchestration and automation at scale
Contributions to database internals, storage engines, or related open source projects
Note: Prior AI/ML infrastructure experience is not required. We value deep infrastructure and database expertise from any domain.
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Ukraine; Moldova; Latvia; Slovakia; Czech Republic; Slovenia; Romania; Turkey; Kazakhstan; Brazil; Poland; Hungary; Montenegro; Estonia; European Union; Cyprus; Lithuania; Serbia; Georgia
Workplace: Remote
ABOUT US
Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/
ABOUT THE ROLE
We are seeking a Billing Data Analyst to join our Billing and Data team. You will play a key role in analyzing financial performance, billing behavior, risk trends, and support operations. Your work will help drive better decision-making, reduce financial risks, and improve billing efficiency across all products. This role combines analytical rigor, statistical thinking, and cross-functional collaboration.
KEY RESPONSIBILITIES
- Monitor, analyze, and report on key billing and support performance indicators and emerging trends.
- Build and maintain data pipelines to ensure accurate, timely, and reliable data delivery.
- Apply statistical methods to project scenarios, assess “what-if” outcomes, and anticipate financial risks.
- Run A/B tests and experiments to evaluate billing and support strategies.
- Collaborate with cross-functional teams (Billing, Support, Finance, Product, Marketing) to align processes with risk-mitigation goals.
- Analyze the impact of marketing and product changes on billing outcomes, risk behavior, and customer support metrics.
- Provide actionable recommendations to improve billing performance and reduce disputes, churn, and operational inefficiencies.
- Document analyses, workflows, and data logic to ensure clarity and consistency.
QUALIFICATIONS
- Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related field.
- Experience as a Data Analyst, ideally within fintech, subscription products, billing, or customer support.
- Strong SQL skills.
- Experience with popular BI tools such as Tableau, Looker, or similar
- Experience with Python or R
- Solid understanding of statistical analysis, forecasting, and scenario modeling.
- Experience running A/B tests and interpreting experiment results.
- Excellent problem-solving skills, attention to detail, and ability to work in a fast-paced environment.
- Strong communication skills, with the ability to explain findings to both technical and non-technical stakeholders.
- Curiosity, ownership mindset, and the discipline to maintain high-quality data work.
NICE TO HAVE
- Experience with BigQuery, ClickHouse, or any cloud data warehouse.
- Basic Python knowledge for data cleaning or simple analysis.
- Exposure to subscription businesses or payment systems.
- Understanding of disputes, chargebacks, declines, or fraud signals.
- Familiarity with DBT or data quality frameworks.
LOCATION
Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours.
BENEFITS
Discover the perks of being part of our vibrant team! We offer:
- Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance.
- Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days.
- Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge.
- Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them.
- Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0
Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth!
INTERVIEW PROCESS
After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps:
- Recruiter Screening (40 minutes)
- Technical Interview (60 minutes)
- Final Interview (30 minutes)
LIFE AT RUBY LABS
At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day.
This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen.
Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success.
#LI-Remote
Location: Ukraine; Moldova; Latvia; Slovakia; Czech Republic; Slovenia; Romania; Kazakhstan; Poland; Hungary; Montenegro; Estonia; European Union; Cyprus; Lithuania; Greece
Workplace: Remote
ABOUT US
Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/
ABOUT THE ROLE
We’re looking for a Lead Billing Data Analyst (Billing, Payments & Subscription Analytics) to own the data strategy behind our subscription billing operations. This is a hands-on leadership role: you’ll build analyses and pipelines that improve billing performance, while also managing and mentoring a team of analysts.
KEY RESPONSIBILITIES
ANALYTICS & TECHNICAL WORK
- Monitor, analyze, and report on billing and support performance metrics (payments, renewals, refunds, disputes/chargebacks), and surface emerging trends.
- Build and maintain data pipelines that deliver accurate, timely, and reliable billing data.
- Apply statistical methods to model scenarios, run “what-if” analyses, and anticipate financial risk.
- Design and run A/B tests and experiments to evaluate billing and support initiatives.
- Analyze the impact of product, marketing, and pricing changes on billing outcomes, risk behavior, and customer support metrics.
- Build and maintain dashboards and visual reporting that provide clear, real-time visibility into billing health and support performance.
- Turn insights into recommendations that reduce disputes, churn, and operational inefficiencies.
- Document analyses, workflows, definitions, and data logic to ensure clarity, reproducibility, and consistency.
LEADERSHIP & COLLABORATION
- Lead, mentor, and grow a team of data analysts: set expectations, coach on methodology, and ensure high-quality output.
- Own the team’s intake and prioritization process; manage task flow and delivery timelines against business needs.
- Uplevel the team’s billing domain knowledge and analytical/technical skills.
- Partner cross-functionally with Billing, Support, Finance, Product, and Marketing to align metrics, definitions, and processes with risk-mitigation goals.
QUALIFICATIONS
- Deep subscription billing expertise: substantial experience with payments, renewals, refunds, disputes/chargebacks/TC40 in a recurring-revenue business (non-negotiable).
- Advanced SQL: complex joins, window functions, incremental logic, and performance-aware query writing.
- Data visualization: proficiency with Omni, Tableau, Power BI, or similar tools to build dashboards and communicate insights clearly.
- People leadership: experience setting priorities, distributing work, reviewing output, and being accountable for a team’s results.
- Statistical & analytical rigor: forecasting, experiment design, and translating ambiguous business questions into structured analysis.
- Billing platforms / processors: familiarity with tools such as Stripe, Braintree, Nuvei, or similar.
- Strong communication: ability to explain complex findings to both technical and non-technical stakeholders.
- Cross-functional collaboration: track record of influencing decisions with data across multiple departments.
NICE TO HAVE
- Python and/or modern analytics tooling (dbt, Airflow, or similar).
- Experience building and maintaining ETL/ELT pipelines for billing or financial data.
- Risk analysis or fraud-adjacent experience in billing contexts.
- Advanced visualization techniques (cohorts, funnels, anomaly detection dashboards).
LOCATION
Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours.
BENEFITS
Discover the perks of being part of our vibrant team! We offer:
- Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance.
- Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days.
- Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge.
- Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them.
- Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1tzxGX4Uu7Ts_HCLFXESKLnKaaBfVCPf1f9AYZPrkjJM/preview?tab=t.0 https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0
Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth!
INTERVIEW PROCESS
After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps:
- Recruiter Screening (40 minutes)
- Technical Interview (90 minutes)
- Final Interview (60 minutes)
LIFE AT RUBY LABS
At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day.
This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen.
Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success.
#LI-Remote
Meet Arago and the Aragonians Arago is an AI and computer hardware company whose mission is to drive the course of history forward. We do so by accelerating breakthroughs at the intersection of AI and semiconductors. Founded in 2024 by AI researchers and physicists with deep expertise in photonics, electronics, software, mathematics, and machine learning, Arago brings together a lean team of engineers and scientists from the world’s top companies and research labs. Composed of nine nationalities and operating from hubs in France, North America, and Israel, we believe in great science and fast achievements. Our work is guided by these core principles: Do great things: we deliver work we’re proud to sign our name to. High velocity: speed matters. We move quickly, one step at a time. One unit: we’re all in this together, with relationships grounded in trust, respect, and camaraderie. Arago is backed by executives from Apple, Arm, Nvidia, Microsoft, and Hugging Face, as well as prominent US and European deeptech venture firms and exited founders.
What you’ll do
As a Senior AI/ML Scientist, you will work at the intersection of modern AI models, numerical precision, and novel computing architectures. Your mission will be to develop the methods that allow AI models to run accurately, efficiently, and reliably on Arago’s computing system. This position combines strong quantization and “digital twin” aspects: understanding how frontier models tolerate reduced precision, defining the right numerical formats and quantization strategies, and building software representations of the processor to model the physical effects that impact AI model accuracy. This role is both scientific and practical. You will help shape the bridge between AI models and Arago’s hardware.
Required Skills and Experience
Background in mathematics, physics, computer science, or a related quantitative field. Strong interest and skills in applied mathematics and statistics. Strong experience with quantization of machine learning and AI models. Strong understanding of modern model architectures, including language models, diffusion models, video generation models, and/or world models. Experience studying the impact of numerical precision, noise, or approximation on model accuracy. Experience with inference performance optimization. Good knowledge of computer architecture, GPU architecture, or parallel computing. Ability to build rigorous experimentation pipelines and translate research insights into practical engineering decisions. GitHub profile with recent and relevant projects. Language: English at a proficient level. French is a plus.
Responsibilities
Develop Arago’s quantization strategy for modern AI models, including precision studies, numerical format exploration, and model-level techniques to preserve accuracy under constrained precision. Study the impact of analog noise on the performance and inference accuracy of machine learning models, including language models, diffusion, video generation, and world models. Develop simulation tools to model analog behavior with minimal computational overhead. Build and maintain Arago's internal experimentation pipelines for precision and performance studies on both physical and emulated prototypes. Act as a technical point of contact between clients and Arago: analyze, port, and optimize client models onto Arago hardware, balancing throughput and accuracy. Collaborate with the software and digital architecture teams to support architectural enhancements based on the operator content of frontier model architectures.
Pay and benefits
Competitive cash compensation, with final package based on location, experience, and the pay of team members in similar positions. Meaningful stock option plan offered at the earliest stage of the company (included in the majority of full time offers). Relocation bonus and coverage of moving expenses for relocation within 20 minutes of the company’s location. Healthcare coverage (including family-friendly options), pension contributions, professional development support, and 25 days of PTO, in addition to public holidays. Ownership of a key technical domain, with significant vertical and/or horizontal growth opportunities, based on performance and individual drive. Reimbursement of 50% of the public transport subscription fee. A high-paced, multicultural (with 10 nationalities), and engineering-led environment.
Location: Baku
Workplace: onsite
ABOUT YOU
Xsolla seeks a security engineer to join a new security team during a critical build-out phase. You work across application security and infrastructure security - reviewing code, hardening cloud environments, supporting incident response, and partnering with engineering teams to improve security posture across the company.
This is a generalist role well-suited to an early-team hire. You are comfortable working across domains rather than specializing in one, and you grow into deeper expertise as the team and program mature. You collaborate closely with the security program manager and work directly with engineering teams on secure design, findings, and remediation.
Our tech stack includes GCP, vSphere/ESX, Kubernetes and container workloads, MariaDB, CockroachDB, Go, PHP, and Python. You do not need expertise in all of these, but you are comfortable navigating a mixed environment and learning what you need.
As always true in job descriptions, there is an intangible value that is hard to capture. We look for a diverse set of perspectives and skills. Even if you don't match every requirement, we encourage you to apply if you think you can be highly successful in this role.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities
Perform Application Security Reviews
- Conduct code reviews, run
SAST
/
DAST
and dependency scanning tools, and work with engineering to resolve findings.
Participate in Threat Modeling
- Contribute to threat modeling sessions for new features and architecture changes, helping identify risks early in the design process.
Help Harden Cloud and Container Infrastructure
- Work on GCP, Kubernetes, and
IAM
configurations to strengthen the security of our cloud and container environments.
Participate in Pen Test Remediation
- Help triage penetration test findings and work with engineering teams to implement fixes, coordinating closely with the security program manager.
Partner with Engineering on Secure Design
- Review architectures, advise on secure implementation patterns, and help teams make informed security decisions.
Identify and Track Security Findings
- Document findings, assess severity, and track them through the remediation lifecycle to resolution.
Support Incident Response
- Help investigate and document security events, contribute to root-cause analysis, and support containment efforts.
Write Async Security Guidance
- Produce advisories, best-practice documentation, and practical guidance that helps engineering teams build securely across time zones.
Support Product Security
- Work with partners on the security posture of customer-facing services, contributing to reviews and assessments as needed.
What You Bring
Foundational AppSec Knowledge
- Understands common vulnerability classes, secure coding patterns, and how to conduct a meaningful code review.
Cloud Environment Exposure
- Has worked with GCP or a similar cloud provider and is comfortable with
IAM
, networking, and container concepts.
Code Literacy
- Reads and reviews code in one or more of: Go, Python, PHP. Does not need to be a software engineer, but can follow logic and spot issues.
Security Tooling Familiarity
- Has used or is familiar with
SAST
,
DAST
, or dependency scanning tools and understands how they fit into a development workflow.
Strong Written Communication
- Writes clear, concise async documentation - findings, advisories, guidance - that works across time zones and audiences.
Collaborative Mindset
- Partners effectively with engineering teams. Focuses on helping teams build securely rather than just identifying problems.
Self-Directed with Growth Mindset
- Eager to learn, comfortable with ambiguity, and able to make progress with minimal direction in a new and evolving team.
Nice to Have
Threat modeling experience;
Hands-on Kubernetes or container security experience;
Infrastructure security background - Linux, networking, vSphere/
ESX;
Familiarity with
NIST
CSF
,
PCI
, SOC 2, or ISO 27001 from a technical perspective;
Detection engineering or incident response experience;
Experience building security automation or internal tooling;
Relevant certifications (
OSCP
,
GWAPT
,
CKS
, or similar hands-on certs).
Xsolla operates across multiple time zones. Strong written communication is essential - you will need to document your work clearly so findings and context are not lost across handoffs. We value directness, intellectual honesty, and follow-through. If you do not know something, say so and find out. If you find something, explain it clearly and see it through to resolution.
Location: Baku
Workplace: onsite
ABOUT YOU
We are looking for a junior application security specialist to join a growing security team at Xsolla. This is a hands-on role where you will work closely with senior specialists to identify, assess, and help remediate security vulnerabilities across our products and infrastructure.
You will be involved in day-to-day AppSec work - code reviews, vulnerability triage, threat modeling, and security testing. You are curious, detail-oriented, and eager to develop deep expertise in application security. You do not need to have all the answers, but you ask the right questions and follow through.
This is a strong learning environment. You will be exposed to real-world security challenges in a payment platform operating at scale, and supported by experienced security specialists who will help you grow.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities
Triage Security Findings
- Assess incoming bug bounty reports and scanner findings. Evaluate validity, calculate real severity, and escalate appropriately with clear written summaries.
Assist with Vulnerability Assessments
- Participate in security assessments of web applications and APIs. Help identify and document risks in new features and existing systems.
Write Clear Security Documentation
- Document findings, reproduction steps, and remediation guidance in a way that engineering teams can act on.
Support Threat Modeling
- Participate in threat modeling sessions. Learn to identify trust boundaries, data flows, and attack surfaces in system designs.
Monitor Security Tools
- Help operate
SAST
,
DAST
, and dependency scanning tooling. Track findings, reduce noise, and support remediation workflows.
Support Code Reviews
- Review code for common vulnerability classes under guidance of senior specialists. Learn to identify security issues across PHP, Python, and Go codebases.
Stay Current
- Follow developments in the security community. Bring awareness of new vulnerability classes, CVEs, and attack techniques relevant to our stack.
What You Bring
Web Security Fundamentals
- Solid understanding of common vulnerability classes:
OWASP
Top 10,
CSRF
,
XSS
,
IDOR
, SQL injection, open redirect, authentication and session management weaknesses. You understand root causes, not just names.
Web and Browser Fundamentals
- Solid understanding of how web applications work: HTTP request/response cycle, client-server model, REST APIs, how browsers handle same-origin policy, cookies and their attributes, and
CORS
. This is the foundation everything else builds on.
Security Testing Tools
- Hands-on experience with Burp Suite or similar web application security testing tools. You have used them to intercept, modify, and replay requests — not just run automated scans.
Vulnerability Documentation
- Able to reproduce a vulnerability and write it up clearly: reproduction steps, proof of concept, and impact statement. Findings that engineering teams cannot reproduce or understand do not get fixed.
Secure Development Awareness
- Familiarity with foundational secure coding concepts: input validation, output encoding, parameterized queries, and least privilege.
Code Readability
- Ability to read and follow code in at least one language relevant to web security - PHP, Python, JavaScript, or Go. You don't need to be a developer, but you need to follow logic and spot security-relevant patterns.
Analytical Thinking
- You reason through problems methodically. You can explain not just what a vulnerability is but why it exists, how it is exploited, and what fixing it actually requires.
Clear Written Communication
- You write findings and summaries that are precise, reproducible, and useful to the engineers who need to act on them.
Curiosity and Initiative
- You dig into problems rather than stopping at the surface. When something looks wrong, you investigate before concluding
Nice to Have
Participation in bug bounty programs or
CTF
competitions;
Basic scripting ability for automation - Python or Bash;
Familiarity with CI/CD pipelines and where security tooling fits;
Exposure to cloud environments - GCP, AWS, or Azure;
Relevant coursework or certifications - eWPT,
CEH
, PortSwigger Web Security Academy progress, or similar entry-level credentials.
Xsolla operates across multiple time zones. Strong written communication is essential - you will need to document your work clearly so findings and context are not lost across handoffs. We value directness, intellectual honesty, and follow-through. If you do not know something, say so and find out. If you find something, explain it clearly and see it through to resolution.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's researchers generate and depend on enormous amounts of data — training runs, evaluations, RL transcripts, annotations etc... The Research Data Platform team builds the systems that make that data easy to produce, find, query, and trust. We work in two modes: we build
platform components that other systems plug into
(for example, a metrics library that training frameworks integrate to record and retrieve run data), and we
own core datasets end to end
(for example, the data pipeline behind RL transcripts).
As the team's tech lead, your job starts with our users. You'll work directly with researchers — and with the engineers who support them — to understand how they actually work, where managing data slows them down, and where a well-built platform component or a well-curated dataset would change what's possible. You'll turn what you learn into technical direction for the team, in partnership with the team's manager, who owns priorities and people. A central ambition you'll drive: a small set of canonical, well-documented datasets — starting with the core data model for RL — that researchers trust and standardize on, rather than every team managing its own copies.
You'll spend your first few months close to the code and close to users: shipping improvements in our core systems, embedding with research teams, and building your own map of their workflows. As the team grows, this role has a natural path into formal people leadership for someone who wants it.
Responsibilities
Work directly with researchers and the engineers supporting them to understand their workflows, identify the highest-leverage opportunities, and shape what the team builds next
Set the technical direction for the team across our platform and our datasets
Design and build platform components that other teams plug into — libraries, services, and interfaces such as the metrics library used by training frameworks
Own core datasets end to end: the pipelines that produce them, the schemas that define them, and the documentation and guarantees that make researchers trust them
Drive convergence toward canonical datasets — including the core data model for RL transcripts — that research teams standardize on
Lead complex, multi-quarter projects that span several systems and teams, staying hands-on in the code
Raise the team's technical bar through design reviews, mentorship, and the quality of your own work
You may be a good fit if you:
Have built and operated data-intensive systems at scale — pipelines, storage layers, query systems — with strong instincts for data modeling and schema design that hold up as usage grows
Have set technical direction for a team, or owned the architecture of a data platform that other teams build on
Treat internal users as customers: you do the discovery work, iterate with users, and measure success by adoption rather than by shipping
Understand that researchers aren’t typical internal customers — the work is exploratory by nature, workflows differ from team to team, and requirements are discovered through experiments rather than specified up front
Can build for that motion — keeping interfaces stable and data trustworthy while use cases change underneath you, and judging when a quick, disposable solution serves research better than a durable one
Lead through influence — aligning engineers and stakeholders without relying on formal authority
Are results-oriented and pragmatic, willing to do unglamorous work when it's the highest-leverage thing
Are excited about learning the fundamentals of machine learning research (deep ML expertise is not required)
Care about the societal impacts of your work
Strong candidates may also have
Experience with large-scale ETL and columnar or analytical storage (e.g., Spark, BigQuery, ClickHouse, DuckDB, Parquet)
Experience with metrics or experiment-tracking systems, or high-volume time-series data
Experience with dataset management, cataloging, or lineage tooling
Built developer tooling or internal data platforms for demanding technical users — including in domains like quantitative trading, where fast-moving, exploratory data work looks a lot like research
A working knowledge of machine learning
Worked in, or closely with, an ML research lab
Interest in — or experience with — people management and growing engineers
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$850,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New Cairo City, Egypt
About us:
Where elite tech talent meets world-class opportunities!
At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today’s most complex challenges.
About the Client:
Join one of Egypt’s premier financial institutions, renowned for its extensive suite of banking services, including Institutional Banking, Personal Banking, and Islamic Banking. With a global presence through over 50 branches and correspondents, we serve a diverse and dynamic clientele. As we embark on a groundbreaking digital transformation journey, we are committed to leveraging the latest technologies to establish a state-of-the-art data architecture that will redefine our performance and service delivery.
Key Responsibilities:
Drive "Compliance and Security by Design":
Proactively architect and embed compliance guardrails directly into the lifecycle of all Data and AI initiatives, anticipating evolving Central Bank of Egypt (CBE) cyber security regulations and the Egyptian Data Protection Law to eliminate compliance risks before models and data pipelines are deployed.
Execute Predictive Threat Modeling for AI:
Lead advanced, preventative threat modeling and vulnerability assessments tailored specifically for machine learning models, LLMs, and big data repositories, neutralizing emerging AI-specific threats (such as data poisoning, adversarial attacks, and model inversion) during the early design phases.
Establish Continuous Automated Monitoring:
Implement and manage automated, real-time vulnerability scanning and continuous compliance monitoring systems across the bank's data infrastructure, ensuring any drift from security standards is detected and remediated before it can be exploited.
Foster a Proactive Security Culture with AI Teams:
Partner closely with data scientists, AI engineers, and data governance teams to champion secure coding and data handling practices, conducting proactive risk-readiness workshops to prevent human-error vulnerabilities in algorithmic workflows.
Develop Next-Gen Incident-Prevention Playbooks:
Devise and stress-test predictive incident-response playbooks tailored for AI assets, leveraging global threat intelligence to simulate potential data breaches and algorithmic failures, ensuring the bank’s defenses are常に (always) one step ahead of sophisticated cyber threats.
Requirements
Professional Experience:
4
+ years
of progressive experience in cybersecurity compliance, risk management, or vulnerability assessment, with a
mandatory
and proven track record of working within a regulated banking or financial services institution.
Educational Background & Certifications:
Bachelor’s degree from a recognized institution in Computer Science, Cybersecurity, Computer Engineering, or a strictly relevant technical field. Possessing elite industry certifications such as
CISSP, CISM, CRISC, or CISA
is highly preferred.
Regulatory & AI Domain Expertise:
Comprehensive understanding of the
Central Bank of Egypt (CBE)
cybersecurity frameworks and regulations, as well as the
Egyptian Data Protection Law
, paired with foundational knowledge of data science workflows, big data architecture, and emerging AI security frameworks (e.g., OWASP Top 10 for LLMs).
Technical Compliance & Threat Modeling Skills:
Demonstrated expertise in deploying automated vulnerability scanning tools and leading predictive threat modeling exercises specifically tailored to mitigate risks like data poisoning, adversarial attacks, and unauthorized data exposure within complex data pipelines.
Benefits
Attractive, market-leading salary package
Clear career advancement path with professional development opportunities
Location: Switzerland; Austria; Germany; Luxembourg; Belgium
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team.
About the company
Our client is a results-driven B2B growth agency that specializes in bridging the gap between brand awareness and sales conversions. Based in the UK with a global reach across major hubs like New York and Dublin, the team provides a sophisticated "go-to-market as a service" model. They integrate deep market research, creative brand positioning, and demand generation with high-performance SDR teams to build sustainable sales pipelines for scaling B2B businesses. By shifting away from traditional templated outreach, they focus on warming markets and earning prospect trust before a single call is made.
The team prides itself on an intelligence-first methodology, ensuring every campaign is backed by data and high-confidence market insights. Serving innovative founders in the SaaS, FinTech, and professional services sectors, they have a proven track record of generating millions in pipeline value. This is a collaborative, high-growth environment suited for professionals who value transparency, original research, and the pursuit of meaningful, high-quality sales outcomes over volume-based metrics.
Job Type
Full-time
Job Summary
We are looking for a high-energy, German-speaking Sales Development Representative to join a premier UK-based B2B lead generation agency. In this role, you won’t just be selling a service; you will be the engine behind the growth of B2B founders globally. We specialize in turning deep market intelligence into real-world results—meaning you will be booking high-value meetings with pre-warmed prospects who are ready to talk business. This is an opportunity to join a fast-paced, global team where your performance directly impacts the company’s expansion into the DACH market.
Key Responsibilities
Execute a high-volume outreach strategy with a minimum of 200 touchpoints per day.
Maintain a balanced multi-channel approach: at least 50% phone-based cold calling, supplemented by personalized email and LinkedIn outreach.
Achieve and exceed a monthly target of 12 outbound meetings booked with qualified prospects.
Identify and qualify leads effectively to ensure high conversion rates from initial contact to booked meeting.
Collaborate with the internal intelligence and creative teams to leverage pre-warmed leads and tailored content.
Manage your pipeline and activity daily using LinkedIn Sales Navigator, Google Workspace, and Slack.
Requirements
Native-level fluency in German (written and spoken).
Fluency in English (written and spoken).
Proven experience in high-volume Cold Calling and Cold Emailing.
Strong expertise in LinkedIn Outreach and Lead Qualification.
Proficiency with LinkedIn Sales Navigator, Slack, and Google Workspace.
Ability to work within EU timezones.
A resilient, high-activity mindset with the ability to handle rejection and stay focused on targets.
Nice-to-Haves
Experience in B2B Sales or Lead Generation.
Experience conducting Discovery Calls to further qualify prospects.
Proactive problem-solver with a driven, self-starting attitude.
Proficiency in Microsoft Office suite.
Benefits
💰 Competitive base salary
🎯 Monthly performance bonus (10% bonus based on meeting qualification and attendance)
🌎 Fully remote work environment
🚀 Career growth opportunities within a scaling global agency
📈 Long-term stability in a high-demand industry
🤝 Supportive, collaborative team culture operating across EU hours
Location: Paris; London
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
The Role
As a Technical Project Lead on the HPC team, you will oversee the delivery of Mistral’s high-performance computing projects from deployment to production. This role exists to ensure our HPC clusters are delivered on time, within budget, and aligned with technical and operational goals. You will manage critical resources, negotiate with data centers and infrastructure providers, and facilitate collaboration across teams. Based in Paris or London (with frequent travel to Paris if remote), your work will directly impact Mistral’s ability to scale its AI infrastructure.
What You Will Do
- Oversee the delivery of Mistral’s HPC clusters, from hardware deployment to production readiness.
- Strategically manage project timelines, deliverables, and milestones to ensure on-time completion.
- Allocate resources and manage budgets to support project goals.
- Negotiate with data centers and infrastructure providers to secure necessary agreements.
- Facilitate cross-functional collaboration to align technical and operational objectives.
- Communicate project progress and strategic direction to stakeholders.
- Implement quality control measures to ensure adherence to project standards.
What We're Looking For
- Technical degree in computer science, general engineering, or a related field.
- Proven experience in large infrastructure project management, preferably in HPC or related fields.
- Deep program management experience with a track record of delivering complex projects.
- Excellent communication and stakeholder management skills.
- Strong negotiation skills for vendor and partner engagements.
- Ability to work collaboratively in cross-functional team environments.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Palo Alto; New York; San Francisco; Montréal
Workplace: Remote
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
The Role
At Mistral, you’ll build and support the infrastructure behind sovereign AI. As a Site Reliability Engineer in the Fleet team, you’ll work at the intersection of frontier models, products, and compute, ensuring our large-scale Linux environments, cloud systems, and AI workloads run reliably. This role is about more than just systems, it’s about enabling customers to leverage Mistral’s sovereign AI solutions with confidence, while helping us evolve toward modern, cloud-native technologies.
What You Will Do
- Own and operate the infrastructure powering Mistral’s sovereign AI, including Linux environments, cloud systems, and AI workloads.
- Troubleshoot and resolve incidents to ensure high availability, performance, and security for our models, products, and compute platforms.
- Collaborate with research, product, and infrastructure teams to align systems with AI and customer needs.
- Provide technical support to customers and internal teams, diagnosing issues, guiding solutions, and ensuring smooth operations.
- Explore and contribute to modern cloud-native technologies, including Kubernetes and GPU orchestration, as we evolve our sovereign AI platform.
What We're Looking For
- Strong Linux system administration experience at scale.
- Proficiency in Slurm and/or Kubernetes to manage workloads effectively.
- Familiarity with distributed storage, high performance networking, cloud security, or GPU/AI/ML workloads is a plus.
- Customer-focused mindset: Ability to diagnose, explain, and resolve technical issues for users leveraging Mistral’s AI solutions.
- Pragmatic, collaborative, and hands-on - you thrive at the intersection of AI, infrastructure, and customer success, and are eager to drive modernisation in a fast-evolving landscape.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Paris; Stockholm; Madrid; Amsterdam; London; Berlin
Workplace: Remote
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
The Role
At Mistral, you’ll build and support the infrastructure behind sovereign AI. As a Site Reliability Engineer in the Fleet team, you’ll work at the intersection of frontier models, products, and compute, ensuring our large-scale Linux environments, cloud systems, and AI workloads run reliably. This role is about more than just systems, it’s about enabling customers to leverage Mistral’s sovereign AI solutions with confidence, while helping us evolve toward modern, cloud-native technologies.
What You Will Do
- Own and operate the infrastructure powering Mistral’s sovereign AI, including Linux environments, cloud systems, and AI workloads.
- Troubleshoot and resolve incidents to ensure high availability, performance, and security for our models, products, and compute platforms.
- Collaborate with research, product, and infrastructure teams to align systems with AI and customer needs.
- Provide technical support to customers and internal teams, diagnosing issues, guiding solutions, and ensuring smooth operations.
- Explore and contribute to modern cloud-native technologies, including Kubernetes and GPU orchestration, as we evolve our sovereign AI platform.
What We're Looking For
- Strong Linux system administration experience at scale.
- Proficiency in Slurm and/or Kubernetes to manage workloads effectively.
- Familiarity with distributed storage, high performance networking, cloud security, or GPU/AI/ML workloads is a plus.
- Customer-focused mindset: Ability to diagnose, explain, and resolve technical issues for users leveraging Mistral’s AI solutions.
- Pragmatic, collaborative, and hands-on - you thrive at the intersection of AI, infrastructure, and customer success, and are eager to drive modernisation in a fast-evolving landscape.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: United States
Workplace: Remote
About Cantina:
Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning.
If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future!
About the Role:
Cantina’s marketing team is expanding! We're looking for a Senior Creative Strategist with expertise in both traditional and AI-based performance ad production and a track record of systematically developing concept-driven ads at scale that lower CPIs. In this role, you'll manage external agencies and in-house creative teams to deliver high-impact creative that drives users to download and become engaged users in Cantina.
The Senior Creative Strategist, Performance Marketing will drive the creative quality and strategic direction of our paid performance marketing campaigns.
What You’ll Do:
- Produce and direct scaled creative across all performance marketing surfaces (Meta, TikTok, YouTube, mobile ad networks, etc) with multi-million dollar ad spend.
- Develop performance creative concepts built on intimate understanding of Cantina as a product/platform and its consumer use-cases.
- Build and own processes for producing high volume, iterative ads leveraging both traditional and AI-generated production.
- Define creative strategies and vision for AI-generated ads.
- Own creative performance analytics to track what's working and iterate on best-performing concepts and campaigns.
- Set the creative inputs across creative testing plans to optimize creative.
- Manage external agencies and cross-functional teams to ensure high-quality creative output across all performance marketing channels.
- Lead regular creative brainstorms, reviews, and presentations to internal stakeholders, including leadership.
- Oversee the QC process for in-house and external creatives: Create scalable creative review processes and quality standards that maintain excellence at high volume.
- Stay up-to-date on and apply emerging technologies, production methods, and best practices in performance creative and performance marketing.
What You’ll Bring:
- 5+ years of experience in creative direction for performance marketing
- Experience building creative testing frameworks and production pipelines at scale
- Bias for clear systems and processes
- Active use of AI tools, automation, and workflows
- Data fluency: you can build infrastructure to ingest campaign performance data and translate insights into creative direction
- Demonstrated portfolio of high-performing performance creative, particularly short-form video ads
- Deep understanding of the consumer marketing landscape and channels (Meta, TikTok, etc)
- Demonstrated experience collaborating effectively with external agencies and cross-functional teams
- Demonstrated ability to drive measurable impact (e.g. creative quality improvements combined with quantitative performance improvements)
Compensation:
The anticipated annual base salary range for this role is between $150,000-$200,000. When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.
Benefits:
- Competitive salary and generous company equity
- Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina
- 42 days of paid time off, including:
- 15 PTO days
- 10 sick days
- 15 company holidays
- 2 floating holidays
- Generous parental leave & fertility support
- 401(k) retirement savings plan
- Lifestyle spending account – $500/month to use however you’d like
- Complimentary lunch and snacks for in-office employees
- One Medical membership, and more!
Location: San Francisco, California
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
This is NOT a new grad role! This role is for candidates with 0-2 YOE and can start full time right away.
ABOUT THE ROLE
As an engineer at Notion, you’ll help shape core user experiences and accelerate how people discover value in Notion. You'll tackle meaningful challenges with increasing autonomy, crafting code that millions of users will experience. You'll take ownership of projects that matter, make critical technical decisions, and contribute your unique perspective to our product vision. Working alongside passionate experts across design, product, and data, you'll help shape the future of how people work.
We're looking for an Early Career AI Engineer to join as a strategic partner in shaping Notion's AI vision. You'll work on cutting-edge AI-powered features, leveraging LLMs, embeddings, and other AI technologies to make Notion more intelligent and capable.
This role may be aligned to one of multiple AI-focused teams at Notion. Depending on team match and business needs, you could work on:
- AI product engineering: building model-powered features end-to-end (UX, APIs, retrieval, orchestration, quality, and reliability)
- Model & systems engineering: improving model integration and performance (latency, cost, safety, robustness) and building the infrastructure that supports model serving and experimentation
- Evaluation & quality (evals): creating evaluation frameworks and automated/ human-in-the-loop testing to measure and improve model and product quality
WHAT YOU’LL ACHIEVE
- Partner with your team to prototype and ship an AI-powered product improvement
- Own a scoped productionization project: integrate a new model/technique into an existing workflow, add monitoring + guardrails, or improve latency/cost/reliability.
- Contribute to evals and iteration loops: build or extend an evaluation set, run experiments, analyze results, and translate learnings into product or system changes.
SKILLS YOU'LL NEED TO BRING
- You have less than two years of engineering experience. You have solid fundamentals in data structures, algorithms, and distributed systems, with a customer-minded, pragmatic approach to solving problems.
- Expertise building and prototyping: You’re excited to build and iterate quickly, and you’ve started exploring AI/ML through coursework, projects, internships, or hackathons. You’re comfortable learning how different parts of a product fit together (UI, APIs, data), have some familiarity with relational databases like Postgres or MySQL, and can take an idea from prototype to a working feature with guidance.
- Thoughtful problem-solving: You approach problems holistically, starting with a clear and accurate understanding of the context. You think about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity successfully, decompose complex problems into clean solutions, while also balancing the business impact of what you’re building.
- Impact-driven approach to technology: You see technologies as tools to achieve user impact rather than ends in themselves. You care more about building successful systems that solve real problems than about using specific tech stacks or following trends. You stay current with the latest tools like Cursor, Claude Code, and other AI-assisted development environments, you're pragmatic about choosing the right tool for the job, focusing on what delivers the most value to users and the business.
- Proactive communication and high agency: You own your work, communicating clearly about progress and blockers. You don't wait for instructions for every step but rather show initiative in identifying what needs to be done and driving projects forward. You ask questions when needed while independently finding solutions to problems.
NICE TO HAVES
- You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, and Elasticsearch.
- You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship.
- You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco and New York, the estimated base salary range for this role is $130,000-$150,000.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an exceptional Director of Product to lead our Financial Incentives team. This role will report to the Head of Product. Your team owns the financial layer that drives world-class engagement amongst Garner members and steers them to top-performing providers by making Garner the most convenient and affordable way to pay for healthcare.
You will lead 3-4 teams responsible for the member-facing incentive experience, our portfolio of payment mechanisms (card, HRA, HSA contributions, direct provider payment, and emerging alternatives), employer-facing plan design and coverage policies, and the core platform that adjudicates claims, moves money, and reports on it. Today, Garner reimburses $100M+/yr and growing in patient bills annually: you will be responsible for making that experience delightful for members, trusted by employers, and resilient at scale.
Where you will work:
This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Own the strategy and roadmap for Garner’s Financial Incentives portfolio, spanning the member incentive experience, the suite of payment mechanisms (card, HRA, HSA, direct provider payment), employer-facing plan design and coverage policies, and the underlying claims adjudication, payments, and ledger platform.
Build, mentor, and scale a high-performing product management team (4 PMs and growing) and develop the next generation of PM leaders at Garner.
Act as Garner’s internal and external-facing executive-level subject matter expert on financial incentives, payment mechanics, and the operational systems that move money reliably at scale.
Partner closely with Engineering, Design, Operations, Finance, Legal, Compliance, Clinical, and GTM teams to ship trusted, mission-critical products.
Define the metrics that matter and rally the organization around them.
Make sharp prioritization decisions across a portfolio with high regulatory complexity, high customer expectations, and significant 0-to-1 product surface area still to build.
The ideal candidate has:
8+ years of product management experience, including 3+ years managing and developing product managers.
Demonstrated experience building and shipping financial products at scale — payments, ledgers, card programs, consumer financial experiences, or other money-movement systems.
Deep expertise in at least one of payment infrastructure (rails, settlement, reconciliation, ledger) or consumer financial products (card, rewards, reimbursement, HSA/HRA-like instruments) at scale.
Track record of leading both 0-to-1 product development and the scale-up of production systems, comfortable building net-new platforms and improving systems already moving real money.
Strong technical fluency—can credibly engage engineering on system design, data models, APIs, and reliability tradeoffs.
Exceptional written and verbal communication, with the ability to drive alignment with executives, internal teams, and external partners.
A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback.
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
What you'll get here:
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Compensation Transparency:
The target base salary range for this position is $323,000 - $379,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: San Francisco; New York
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
- Lead large-scale brand campaigns across digital, events, and out-of-home.
- Partner with engineering and product marketing on major product launches.
- Turn complex technical ideas into clear, compelling visual communication.
- Evolve the Baseten visual identity into a brand system that scales.
- Own projects end-to-end, from concept through launch, collaborating directly with marketing, product, engineering, and leadership.
- Shape our employer brand and help define how new hires experience Baseten.
- Raise the bar for craft across every customer touchpoint.
REQUIREMENTS
- You have a portfolio of exceptional work with outstanding visual craft and attention to detail.
- You care deeply about quality and sweat the details.
- You communicate ideas clearly and thrive in collaborative environments.
- You know when to build systems, not just execute on assets.
- You default to ownership and are comfortable leading highly cross-functional projects from concept through launch.
- You're excited by technical products and know how to make complex ideas feel consumable without oversimplifying them.
- You thrive in a fast-moving environment with a high bar for quality.
- You have strong opinions about design and can articulate why something works - and why it doesn't.
NICE TO HAVE
- Motion design and animation experience
- Experience designing for developers or highly technical audiences.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
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