Location: Toronto; San Francisco; London; New York; Paris; Montreal
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Role Overview:
As a Machine Learning Engineer specializing in pretraining data, you will play a pivotal role in developing the data pipeline that underpins Cohere’s advanced language models. In this role, you will conduct data ablations to evaluate data quality and construct pre-training data mixtures to enhance model performance. By combining research and engineering, you will bridge the gap between raw data and cutting-edge AI models, directly contributing to improvements in critical training metrics like throughput and accelerator utilization.
Your work will be essential to Cohere’s mission of delivering efficient and reliable language understanding and generation capabilities, driving innovation in natural language processing. If you are passionate about transforming data into the foundation of AI systems, this role offers a unique opportunity to make a meaningful impact.
Please Note: We have offices in London, Paris, Toronto, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role between EST and EU.
Key Responsibilities:
- Conduct data ablations to assess data quality and experiment with data mixtures to enhance model performance.
- Develop robust data modeling techniques to ensure datasets are structured and formatted for optimal training efficiency.
- Research and implement innovative data curation methods, leveraging Cohere’s infrastructure to drive advancements in natural language processing.
- Collaborate with cross-functional teams, including researchers and engineers, to ensure data pipelines meet the demands of cutting-edge language models.
Qualifications:
- Strong software engineering skills, with proficiency in Python and experience building data pipelines.
- Familiarity with curriculum learning, data mixing and data attribution.
- Familiarity with data processing frameworks such as Apache Spark, Apache Beam, Pandas, or similar tools.
- Experience working with large-scale datasets, including web data, code data, and multilingual corpora.
- Knowledge of data quality assessment techniques and experimentation with data mixtures.
- A passion for bridging research and engineering to solve complex data-related challenges in AI model training.
Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).
Working Location:
This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
УдалённоToronto; San Francisco; London; New York; Paris; Montreal; We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role; We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities
Location: San Francisco, CA • New York, NY • United States
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
Figma is seeking a versatile and experienced Machine Learning / AI Engineer to join our growing AI team, working at the intersection of applied machine learning, infrastructure, and product innovation. Whether you’re building intelligent search systems, crafting scalable data pipelines, or enhancing AI-powered creativity tools, your work will drive user productivity, shape new product experiences, and advance the state of AI at Figma.
You’ll collaborate closely with engineers, researchers, designers, and product managers across multiple teams to deliver high-quality ML-driven features and infrastructure. This is a high-impact, cross-functional role where you’ll shape both foundational systems and user-facing capabilities.
This is a full time role that can be held from one of our US hubs or remotely in the United States.
What you’ll do at Figma:
Design, build, and productionize ML models for Search, Discovery, Ranking, Retrieval-Augmented Generation (RAG), and generative AI features.
Build and maintain scalable data pipelines to collect high-quality training and evaluation datasets, including annotation systems and human-in-the-loop workflows.
Collaborate with AI researchers to iterate on datasets, evaluation metrics, and model architectures to improve quality and relevance.
Work with product engineers to define and deliver impactful AI features across Figma’s platform.
Partner with infrastructure engineers to develop and optimize systems for training, inference, monitoring, and deployment.
Explore new ideas at the edge of what’s technically possible and help shape the long-term AI vision at Figma.
We’d love to hear from you If you have:
5+ years of industry experience in software engineering, with 3+ years focused on applied machine learning or AI.
Strong experience with end-to-end ML model development, including training, evaluation, deployment, and monitoring.
Proficiency in Python and familiarity with ML libraries like PyTorch, TensorFlow, Scikit-learn, Spark MLlib, or XGBoost.
Experience designing and building scalable data and annotation pipelines, as well as evaluation systems for AI model quality.
Experience mentoring or leading others and contributing to a culture of technical excellence and innovation.
While not required, It’s an added plus if you also have:
Familiarity with search relevance, ranking, NLP, or RAG systems.
Experience with AI infrastructure and MLOps, including observability, CI/CD, and automation for ML workflows.
Experience working on creative or design-focused ML applications.
Knowledge of additional languages such as C++ or Go is a plus, but not required.
A product mindset with the ability to tie technical work to user outcomes and business impact.
Strong collaboration and communication skills, especially when working across functions (engineering, product, research).
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$153,000
—
$376,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: San Francisco, CA • New York, NY • United States
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
The Data Platform team at Figma builds and operates the foundational systems that power analytics, AI/ML, and data-driven decision-making across the company. We serve a diverse set of stakeholders, including AI researchers, machine learning engineers, data scientists, product engineers, and business teams that rely on data for insights and strategy. Our team owns and scales critical platforms such as the Snowflake data warehouse, ML Datalake, orchestration and pipeline infrastructure, and large-scale data ingestion and processing systems, managing all data flowing into and out of these platforms.
Despite being a small team, we take on high-scale, high-impact challenges. In the coming years, we're focused on building the data infrastructure layer for Figma's AI-powered products, driving cost and performance optimizations across our data stack, scaling our ingestion and reverse ETL capabilities for new product use cases, and strengthening data quality, reliability, and compliance at every layer. If you're passionate about building scalable, high-performance data platforms that empower teams across Figma, we'd love to hear from you!
This is a full-time role that can be held from one of our US hubs or remotely in the United States.
What you'll do at Figma:
Design and build large-scale distributed data systems that power analytics, AI/ML, and business intelligence across Figma
Develop batch and streaming solutions to ensure data is reliable, efficient, and scalable across the company
Manage and evolve core platforms like Snowflake, our ML Datalake, orchestration infrastructure, and real-time ingestion systems
Improve data reliability, consistency, and compliance, ensuring high-quality data for engineering, research, and business stakeholders
Identify and drive cost optimization opportunities across data processing, compute infrastructure, and storage
Collaborate with AI researchers, data scientists, product engineers, and business teams to understand data needs and build scalable solutions
Drive technical decisions and best practices for data ingestion, orchestration, processing, and storage
Mentor and support engineers, fostering a culture of learning and technical excellence
We’d love to hear from you if you have:
5+ years of backend or infrastructure engineering experience, including designing and building distributed data infrastructure at scale
Strong expertise in batch and streaming data processing technologies such as Spark, Flink, Kafka, or Airflow/Dagster
Proven track record of impact-driven problem-solving in fast-paced environments, with a strong focus on high-quality, reliable, and performant systems
Excellent technical communication skills, with experience collaborating across both technical and non-technical stakeholders
Experience mentoring engineers and fostering a culture of learning and technical excellence
While it’s not required, it’s an added plus if you also have:
Familiarity with our stack, including Golang, Python, SQL, frameworks such as dbt, and technologies like Spark, Kafka, Snowflake, and Dagster
Experience building data infrastructure for AI/ML pipelines, including model serving, feature stores, or dataset compliance
Experience with reverse ETL, personalization platforms, or real-time event ingestion systems
Experience with data governance, access control, and cost optimization strategies for large-scale data platforms
The ability to navigate ambiguity, take ownership, and drive projects from inception to execution
Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to write, debug, and optimize code
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$153,000
—
$376,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: Dusseldorf, Germany
Our partner, a well-known international corporation, is seeking a
Data Analytics Tech Lead (m/f/d)
to join their team. This is a full-time position in the Düsseldorf metropolitan area, Germany (partial work from home is possible).
Relocation from abroad is possible.
As the Tech Leader, you'll play a key role in managing and developing a talented data analytics team of 7 individuals. Your primary focus will be on solving complex technical data challenges to drive the company toward its business objectives.
Your Responsibilities:
Lead the Data & Analytics team, managing them in accordance with agile values and principles, ensuring efficient project delivery and optimal performance.
Foster the growth and development of your team members, and closely collaborate with a Product Owner and Chapter Leads.
Strike a balance between people management responsibilities and hands-on technical tasks, ensuring a 50/50 split to drive both team cohesion and project success.
Taking over one of the squad roles: Data Scientist, Data Engineer, Product Owner, Frontend Expert, or Machine Learning Engineer.
Collaborate with business partners to devise innovative strategies and solutions, leveraging cutting-edge techniques and tools to meet and exceed business objectives.
Engage in strategic collaborations with stakeholders to identify opportunities for process optimization and technological advancement.
Job Requirements:
Bachelor's degree in Computer Science or a related field.
Minimum of 5 years of leadership experience and/or project management in data & analytics, demonstrating your ability to lead and inspire teams towards achieving the company’s goals.
Extensive experience in one of the following roles: Data Scientist, Data Engineer, Product Owner, Frontend Expert (Tableau), or Machine Learning Engineer.
Proven track record of working in large enterprises, showcasing your ability to thrive in complex organizational structures and deliver results at scale.
Extensive experience implementing agile values and principles, coupled with a passion for driving innovation and continuous improvement.
Hands-on experience working with Microsoft Azure, Databricks, and Apache Spark.
Fluency in English at a C1 level, enabling seamless communication and collaboration in an international setting.
Benefits:
Comprehensive relocation support for you and your family, ensuring a smooth transition to your new role and surroundings.
Relocation package to facilitate your move and ease any initial expenses.
Hybrid work model, offering you the flexibility to balance your professional and personal commitments.
Future-oriented training and development opportunities, empowering you to stay ahead in an ever-evolving industry.
Corporate health management program, prioritizing your well-being and ensuring you thrive both in and out of the workplace.
If you are interested and believe you fit the requirements to join the team as a
Data Analytics Tech Lead (m/f/d)
– apply now by sending us your CV.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Team
Our team is organized around the north star goal of building an AI scientist – a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific frontier.
About the role
As a Research Engineer on our team you will work end to end across the whole model stack, identifying and addressing key infra blockers on the path to scientific AGI. Strong candidates should have familiarity with elements of language model training, evaluation, and inference and eagerness to quickly dive and get up to speed in areas they are not yet an expert on. This may include performance optimization, distributed systems, VM/sandboxing/container deployment, and large scale data pipelines. Join us in our mission to develop advanced AI systems pushing the frontiers of science and benefiting humanity.
Responsibilities:
Design and implement large-scale infrastructure systems to support AI scientist training, evaluation, and deployment across distributed environments
Identify and resolve infrastructure bottlenecks impeding progress toward scientific capabilities
Develop robust and reliable evaluation frameworks for measuring progress towards scientific AGI.
Build scalable and performant VM/sandboxing/container architectures to safely execute long-horizon AI tasks and scientific workflows
Collaborate to translate experimental requirements into production-ready infrastructure
Develop large scale data pipelines to handle advanced language model training requirements
Optimize large scale training and inference pipelines for stable and efficient reinforcement learning
You may be a good fit if you:
Have 6+ years of highly-relevant experience in infrastructure engineering with demonstrated expertise in large-scale distributed systems
Are a strong communicator and enjoy working collaboratively
Possess deep knowledge of performance optimization techniques and system architectures for high-throughput ML workloads
Have experience with containerization technologies (Docker, Kubernetes) and orchestration at scale
Have proven track record of building large-scale data pipelines and distributed storage systems
Excel at diagnosing and resolving complex infrastructure challenges in production environments
Can work effectively across the full ML stack from data pipelines to performance optimization
Have experience collaborating with other researchers to scale experimental ideas
Thrive in fast-paced environments and can rapidly iterate from experimentation to production
Strong candidates may also have:
Experience with language model training infrastructure and distributed ML frameworks (PyTorch, JAX, etc.)
Background in building infrastructure for AI research labs or large-scale ML organizations
Knowledge of GPU/TPU architectures and language model inference optimization
Experience with cloud platforms (AWS, GCP) at enterprise scale
Familiarity with VM and container orchestration.
Experience with workflow orchestration tools and experiment management systems
History working with large scale reinforcement learning
Comfort with large scale data pipelines (Beam, Spark, Dask, …)
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$350,000
—
$850,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: London; New York; Singapore; Dubai
Workplace: OnSite
Role
Taptap Send is looking for a seasoned, strategic operator to join as a Founders Associate. You'll work directly with our Founder and senior leadership, owning high-stakes, cross-functional projects that will define the future of the business. From the very start, you'll be in the driver's seat—crafting strategy, steering execution, and making an immediate impact.
Every day, we’re moving billions of dollars across continents, serving diasporas in dozens of countries, and navigating the beautifully complex world of international finance. As we grow, we need someone who thrives in ambiguity, moves fast, and brings both analytical firepower and relentless execution to the table. This isn’t a role for the sidelines—it’s for builders who want to operate at the heart of a company scaling globally with urgency and purpose.
Why now? Taptap Send is at a pivotal inflection point—our user base is growing rapidly, new markets are opening up, and the challenges we face are more complex and exciting than ever. As a Founders Associate, you’ll be trusted with some of our most pressing and high-leverage opportunities. You’ll have close proximity to Leadership, exposure to every part of the business, and the chance to help architect the systems, processes, and strategy that will power our next stage of growth.
Responsibilities
- Own and lead strategic initiatives across the company—scoping opportunities, building execution plans, and delivering results
- Partner with cross-functional teams (Product, Finance, Ops, Legal, etc.) to turn strategy into reality
- Design and improve key business processes and systems
- Support prioritization and resourcing across major initiatives with executive leadership
- Conduct high-quality analysis using SQL, Excel, and other tools to support decision-making
- Collaborate with product and engineering teams to build internal tools that drive efficiency and scalability
- Help shape internal operating cadence, tracking KPIs and ensuring accountability
Requirements
- 6-10 years of experience in a high-performing, analytical environment (consulting, biz ops, startup/scale-up, or similar)
- Proven track record of taking initiatives from concept to execution
- Strong analytical skills; comfortable working with SQL, Excel, and data visualization tools
- Excellent communication and stakeholder management skills
- “Owner mindset” – thrives on responsibility and is equally comfortable in the weeds or thinking big-picture
- Bias for action and instinct to simplify complex problems
- Nice to have: fluency in languages beyond English, experience working in global or emerging markets
About Us
We’re building the world’s leading cross-border fintech for emerging markets - empowering families, fuelling local economies, and changing how millions access financial services.
Since our launch in 2019, we have transformed how money moves across borders with our operations spanning 6 out of 7 continents and covering both the busiest and most underserved (remittance) corridors. We tapped into a massive shift - from banks to phones - bringing digital finance to places where traditional systems never reached. The next stage of growth will fuel a network of services and products especially designed to make money more accessible to diaspora communities including local cards, and additional savings and payments features.
We’re growing fast, backed by world-class investors, and scaling a product that blends real world impact with cutting edge fintech innovation.
Here’s a little more:
- Founded by Harvard grads and 3-time founders who previously built Segovia (acquired) and GiveDirectly (>$300M revenue, fastest-growing NGO in the world)
- Backed by top investors including Spark Capital, Canaan, Reid Hoffman, Breyer Capital, Unbound, Wamda, and more
- Built by global top performers from Bain, Google, McKinsey, Uber, Checkout, Bolt, and beyond - we move fast, stay humble, and care deeply about our mission
- Truly global team - 250+ people, 50+ nationalities, 50+ languages
- Guided by our values - ownership, impact, humility, and heart - in deed, not just word
TAPTAP VALUES https://www.taptapsend.com/our-values
Impact first
Team next
Accept reality
Propose solutions
Win with grit
Be proactively candid, with yourself and others
Love the particular
Own it
Create positive energy
Maybe, even have fun
Taptap Send is an equal opportunity employer dedicated to building an inclusive and diverse workforce. All employment decisions are decided on the basis of qualifications, experience and business need. We strongly encourage applications who are members of underrepresented communities to apply.
If you require reasonable adjustments to be made during the recruitment process, please do not hesitate to let us know. Any information you provide us in this respect will only be used to accommodate your requirements.
Note: we recognize imposter syndrome is real - any candidate that does not perfectly fit every characteristic of this role is still strongly encouraged to apply.
Location: Home based - Worldwide
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder-led, profitable, and growing.
We are hiring an
MLOps Field Engineer
to help global companies embrace AI/ML in their business, using the latest open source capabilities on public and private cloud infrastructure, Linux and Kubernetes. Our team applies expert insights to real-world customer problems, enabling the enterprise adoption of Ubuntu, Kubeflow, MLFlow, Feast, DVC and related analytics, machine learning and data technologies. We are working to create the world's best open source data platform, covering traditional SQL databases and today's NoSQL data stores, as well as the machinery which turns data into insights and executable models.
The people who love this role are MLOps engineers who enjoy customer conversations and solving customer problems during the presales cycle. They are solutions architects who like to solve customer problems through architecture, presentations and training. This role is highly focused on designing ML architectures for external customers. It is not a software development role.
This role is particularly suited to candidates with a technical background who are business minded and driven by commercial success. This role is on our global Field Engineering team and will work closely with enterprise sales leads. We are specifically looking for people interested in solving the most difficult problems in modern data architectures. Training LLMs on multiple Kubernetes clusters deployed on a hybrid cloud infrastructure with GPU sharing across multiple teams? Processing 10M events in real time for financial transactions? Object detection on 10k parallel 4K video streams? These are the problems we solve day to day.
Location
: Most of our colleagues work from home. We are growing teams in EMEA, Americas and APAC time zones, so can accommodate candidates from almost any country.
What your day will look like
The global Field Engineering team members are Linux and cloud solutions architects for our customers, designing private and public cloud solutions fitting their workload needs. They are the cloud consultants who work hands-on with the technologies by deploying, testing and handing over the solution to our support or managed services team at the end of a project. They are also software engineers who use Python to develop Kubernetes operators and Linux open source infrastructure-as-code.
Work across the entire Linux stack, from kernel, networking, storage, to applications,
Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack and Spark,
Deliver solutions either on-premise or in public cloud (AWS, Azure, Google Cloud),
Collect customer business requirements and advise them on Ubuntu and relevant open source applications,
Grow a healthy, collaborative engineering culture in line with the company values,
Deliver presentations and demonstrations of Ubuntu Pro and AI/ML capabilities to prospective and current clients,
Liaise with product teams to give them feedback on requirements to influence roadmap,
Work collaboratively with your sales team to reach our common targets,
Global travel up to 30% of time for internal, external events and customer meetings.
What we are looking for in you
Exceptional academic track record from both high school and university,
Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path,
Experience in data engineering, MLOps, or big data solutions deployment,
Experience with a relevant programming language, like Python, R, or Rust,
Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation,
Track record of going above-and-beyond expectations to achieve outstanding results,
Demonstrated personal interest in continuous learning and development,
Practical knowledge of Linux, virtualization, containers and networking,
Business-minded technology thinker and problem solver,
Knowledge of cloud computing concepts & leaders, such as Kubernetes, AWS, Azure, GCP,
Interest in large-scale enterprise open source - private clouds, machine learning and AI, data and analytics,
Intermediate level Python programming skills,
Passion for technology evidenced by personal projects and initiatives,
The work ethic and confidence to shine alongside motivated colleagues,
Professional written and spoken English with excellent presentation skills,
Experience with Linux (Debian or Ubuntu preferred),
Excellent interpersonal skills, curiosity, flexibility, and accountability,
A dynamic person who loves to jump in new projects and interact with people,
Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation,
Thoughtfulness and self-motivation,
Result-oriented, with a personal drive to follow up and meet commitments,
Ability to travel internationally, for company events up to two weeks long, and customer or industry meetings.
What you’ll learn
Architect and deploy AI/ML infrastructures, data processing pipelines and multi-cluster distributed training,
Wide range of open source applications and skills,
Work directly with customers in a range of different businesses,
Real-life and hands-on exposure to a wide range of emerging technologies and tools.
What we offer colleagues
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person
Personal learning and development budget of USD 2,000 per year
Annual compensation review
Recognition rewards
40 days annual leave per annum, including public holidays and our All Company holiday periods
Maternity and paternity leave
Team Member Assistance Program & Wellness Platform
Opportunity to travel to new locations to meet colleagues
Priority Pass and travel upgrades for long-haul company events
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
#LI-remote
Location: Berlin, Germany
Our client is an all-in-one platform combining boutique fitness and advanced technology. Their platform helps their partners manage their bookings, payroll, marketing and more, to streamline operations and boost their commercial success.
Since they launched in 2019, they have already achieved the following:
Built a community of over 7 million users
Finalized the biggest Series B this year (€30 million)
Grown their team to more than 160 employees
About Your Role
Joining the Northern Europe team (France, Benelux & DACH) means stepping into a dynamic and mature market where our client already holds a strong presence.
They are looking for curious, creative minds who can bring fresh ideas and solutions to take their success to the next level. As part of this team, you’ll be joining a young, dynamic network of sharp, driven professionals who are deeply committed to excellence, collaboration, and sustained growth. You’ll find a supportive environment that values both independent thinking and teamwork, pushing you to make a tangible impact on their journey as a leader in the region.
One of the coolest aspects of being part of their team is the clear career progression and growth opportunities. As an SDR, you have the chance to advance through levels—from Junior SDR to Confirmed SDR, and then to Senior SDR—all within the span of a year. With each progression, you gain more responsibility, increase your influence, and have a direct impact on your bonus structure. After reaching Senior SDR, there are exciting opportunities to grow into roles like Junior AE or Team Leader SDR, putting you in the driver’s seat of your career journey.
What Will Be Your Impact
Prospect accounts and identify potential new revenue segments for your region by researching and analyzing market opportunities.
Conduct targeted email outreach to engage prospects and spark interest in our client's solutions.
Cold call potential clients to introduce your company and qualify leads based on their needs.
Use LinkedIn and Instagram to connect with key decision-makers, starting conversations and driving interest.
Communicate with their Sales and Operations Team to provide insights into market trends and developments.
Report and manage all of your activities on their SalesLoft platform to organise your own Sales Pipeline.
Leverage video and other media outreach methods to personalize communication and increase engagement with prospects.
Requirements
Have experience in sales, customer service, or similar client- facing roles, ideally in a high-growth or startup environment.
Have native level of German and fluency in English.
Enjoy taking initiative and achieving results in a fast-paced environment.
Thrive on challenges and are eager to develop your skills in a dynamic market.
Can work independently while contributing to a strong team spirit and collaboration.
Are organised, precise, and demonstrate excellent communication skills in both written and verbal forms.
Have a creative mindset: creative people share ideas, suggest solutions, and are not afraid to innovate!
Comfortable with digital tools and sales software (CRM, LinkedIn, Email platforms, etc.).
Able to multitask and prioritize effectively, managing a high volume of outreach without compromising quality.
Benefits
Their benefits package is thoughtfully crafted to ensure you feel valued, supported, and empowered. They also offer ample career growth opportunities through continuous learning, & mentorship. Plus, they are continuously enhancing their offerings.
Attractive compensation package:
Competitive base salary, performance-based bonuses, and equity options, aligning your success with the company’s growth!
Career growth and development:
Fast-track your career growth with personalized development and trainings.
Diverse & global team:
Work alongside a multicultural, international team that celebrates diversity and creativity.
Work-Life harmony:
Enjoy the flexibility of a hybrid model, with remote days to support your work-life balance.
Say goodbye to homesickness:
Work remotely from abroad for up to 3 weeks each year.
Comprehensive health coverage:
They have got you covered with fully-funded health insurance, so you can focus on what matters most.
Paid sick days:
Feel supported with paid sick leave, because your health and well-being come first.
Exclusive fitness perks:
Stay active with a specially negotiated gym plan, tailored for you.
Team building & sports activities:
Exciting team-building, after-work gatherings and sports initiatives designed to inspire and energize.
What the Interview Process Will Look Like:
Discovery call with their Talent Acquisition team.
Interview with their SDR Team Leader.
Interview with their Country Manager.
Location: San Francisco
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
Strategic accounts at Baseten are the largest and fastest-growing AI companies in the world. These are the teams defining the future of what AI products and services look like. These accounts can scale rapidly from one token to billions of tokens in a matter of weeks. This role owns these relationships, working directly with founders and engineering leaders on mission-critical and large-scale-AI problems in production—and shaping what we build next.
This is a highly technical sale. You’ll trade opinions on the latest open-source model releases, run fast and nuanced evaluations alongside customer engineering teams, and often pulling in SMEs from applied research to infrastructure engineers to win. You’ll bring tight sales fundamentals and process discipline, while maintaining flexibility and creativity in how you run each cycle.
This role is pioneering what sales looks like at the bleeding-edge of technology sales. This is a front row seat to the most consequential decisions made at the forefront of Artificial Intelligence. There is no faster place to learn and make an immediate impact.
RESPONSIBILITIES
- Own a focused portfolio of high-growth, strategic AI-native accounts end to end — from technical evaluation and initial workload landing through expansion as inference usage scales.
- Lead technical evaluations and complex, multi-stakeholder sales cycles from first conversation through close. Bring strong sales fundamentals and process discipline, while staying flexible and creative in how you run each sales cycle.
- Build trusted relationships with founders and technical leaders, becoming a credible partner on model, infrastructure, and inference decisions.
- Orchestrate stakeholders across applied research, engineering, and leadership to win technical evaluations and solve customer problems.
- Bring customer signal back to product, shaping roadmap priorities through the needs and patterns you see in the field.
- Stay close after close: help customers expand from an initial workload into additional use cases across the organization.
REQUIREMENTS
- 5+ years of sales experience in infrastructure, developer tools, data, or another consumption business, with a record of closing complex technical deals.
- Proven net-new experience selling complex technical products in fast-moving environments.
- Strong sales fundamentals across discovery, multi-threading, champion-building, and deal momentum.
- Genuine curiosity for open-source models and the AI infrastructure landscape. You follow model releases and can hold your own with engineers.
- Highly dynamic: comfortable when a deal goes off-script, able to meet customers where they are, and willing to change your approach without losing rigor.
- Strong technical project management: you can run a thorough evaluation across multiple workstreams and create clarity and direction for Baseten to win.
- Proven ability to sell internally, earning engineering time, aligning leadership, and getting cross-functional teams to move
- Scrappy, low-ego, collaborative operator. You run toward ambiguous problems, create structure where none exists, and earn internal support without relying on rigid swim lanes.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: San Francisco, California, United States
Senior Actuarial Analyst
DRIVE PROFITABLE GROWTH FOR THE BUSINESS
About At-Bay
At-Bay is the world’s first InsurSec provider designed from the ground up to help businesses tackle cyber risk head on. By combining industry-leading insurance with world-class cybersecurity technology, At-Bay offers end-to-end prevention and protection for the digital age. With 98% of cyber insurance claims in the past five years coming from small and mid-size businesses with revenue under $2B, providing an integrated solution to help manage risk is more critical than ever.
At-Bay helps its 35,000+ customers close their security technology and skills gap — all through their cyber insurance policy — making them less likely to be hit with a ransomware attack. As a full-stack insurance company, At-Bay offers multiple lines of specialty insurance, including Cyber, Tech E&O, and Miscellaneous Professional Liability (MPL) policies.
Why you should join our
Actuarial Pricing
team:
As an Senior Actuarial Analyst on the Pricing team, you will be working under the risk function with talented team members in modeling, risk analytics, decision engine, insurance and tech product. The Pricing team has helped At-Bay launch new products, secure reinsurance capacity, quantify and manage risk related KPIs and adjust pricing to drive profitable growth.
You’ll join a growing team of actuaries and actuarial analysts of diverse backgrounds and report to our Actuarial Director. You’ll be surrounded by a team that loves what they do, leverages technology to improve efficiency & minimize duplicative work, and recognizes the enormous responsibility that they have – to support key business decisions with data backed insights and a deep understanding of insurance risk.
Role overview:
Your work will directly contribute to At-Bay’s risk assessment framework that helps with data-driven decisions involving millions of dollars of exposure. This is a multidisciplinary role that includes developing deep cyber and tech knowledge, business acumen, research, and analytical skills. This is also a hands-on operational role where you’ll see in house submission, quotes and binds and understand how each risk decision will impact on the business.
You will manage the overall program profitability, improve pricing accuracy, and work cross-functionally with Insurance & Tech Product, Underwriting, Claims, and Decision Engine teams on the implementation of those products. You will be responsible for leading and supporting a wide variety of pricing and underwriting related initiatives, quantifying the impacts and implications of those initiatives on the business and identifying ways to the overall economics of the business.
How you’ll make an impact:
By 3 months…
You’ll understand At-Bay’s internal data structure and develop key relationships across the business
You’ll have reviewed the existing Cyber and Tech E&O product structures, related tools, and related data sources to track and analyze product performance
You’ll have completed a quarterly rate indication and presented your recommendation to key stakeholders
You’ll identify areas of improvement in our systems and processes
By 6 months...
You’ll have developed a proposal to modify the Cyber rate plan and have evaluated the proposal will have on the business
You’ll have improved the depth and efficiency of the existing rate indication process via automation and/or innovation
You’ll have analyzed customer acquisition and retention data to improve At-Bay’s ability to understand the economics of the business
You’ll help coach team members and key
stakeholders
to understand actuarial analytics, Cyber pricing and risk, and how it differs from traditional pricing and other lines of business
What you’ve accomplished already:
You’ve evaluated the profitability of a portfolio of insureds using actuarial techniques and communicated the results to leadership
You’ve worked cross-functionally with underwriting, product management, data science, claims or other analytical departments to solve complex business problems
You’ve developed tools to automate existing processes and/or improve visibility into the performance of the products
You’ve analyzed competitor rating plans and interpreted the results to improve your pricing and/or underwriting structures
You’ve passed 4+ exams in pursuit of your ACAS, FCAS, or other equivalent designation
You’ve achieved proficiency with Excel and SQL, and have experience with Python and/or R
Our estimated base pay range for this role is $120,000-135,000 per year. Base salary is determined by a variety of factors including but not limited to market data, location, internal equitability, domain knowledge, experiences and skills. In general, if the position sparks your interest we encourage you to apply - our team prioritizes talent.
#LI-DNI
#LI-LM1
Location: San Francisco; Remote; Toronto; New York; Montreal; Seattle
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
As an Infrastructure Software Engineer at Baseten, you'll build and maintain components of our ML inference platform that powers production AI applications. You'll contribute to the core infrastructure, enabling developers to deploy, scale, and monitor ML models with high performance.
EXAMPLE INITIATIVES
You'll get to work on these types of projects as part of our Infrastructure team:
- Multi-cloud capacity management https://www.baseten.co/blog/how-baseten-multi-cloud-capacity-management-mcm-powers-cloud-self-hosted-and-hybr/
- Inference on B200 GPUs https://www.baseten.co/blog/accelerating-inference-nvidia-b200-gpus/
- Multi-node inference https://www.baseten.co/blog/how-multi-node-inference-works-llms-deepseek-r1/
- Fractional H100 GPUs for efficient model serving https://www.baseten.co/blog/using-fractional-h100-gpus-for-efficient-model-serving/
RESPONSIBILITIES
- Develop infrastructure components for our ML inference platform using Python and Go
- Implement and maintain Kubernetes deployments for model serving
- Contribute to our inference orchestration layer for model deployments
- Build and enhance monitoring systems for model performance metrics
- Implement efficient resource management solutions for ML workloads
- Support infrastructure automation to improve ML deployment workflows
- Work closely with team members to implement technical solutions
- Help balance performance optimization with system reliability
- Participate in technical discussions around infrastructure improvements
- Learn and apply infrastructure best practices
REQUIREMENTS
- Bachelor's degree or higher in Computer Science or related field
- Proficient coding abilities in one or more popular programming or scripting languages; Go proficiency is a plus
- Working knowledge of Kubernetes and containerization
- Basic understanding of machine learning concepts and model serving
- Familiarity with distributed systems concepts
- Experience with basic monitoring and logging tools
- Interest in ML/AI infrastructure and willingness to learn
- Strong collaboration and communication skills
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Berlin, Germany
Our client is an all-in-one platform combining boutique fitness and advanced technology. Their platform helps their partners manage their bookings, payroll, marketing and more, to streamline operations and boost their commercial success.
Since they launched in 2019, they have already achieved the following:
Built a community of over 7 million users
Finalized the biggest Series B this year (€30 million)
Grown their team to more than 160 employees
About Your Role
Joining the Northern Europe team (France, Benelux & DACH) means stepping into a dynamic and mature market where our client already holds a strong presence.
They are looking for curious, creative minds who can bring fresh ideas and solutions to take their success to the next level. As part of this team, you’ll be joining a young, dynamic network of sharp, driven professionals who are deeply committed to excellence, collaboration, and sustained growth. You’ll find a supportive environment that values both independent thinking and teamwork, pushing you to make a tangible impact on their journey as a leader in the region.
One of the coolest aspects of being part of their team is the clear career progression and growth opportunities. As an SDR, you have the chance to advance through levels—from Junior SDR to Confirmed SDR, and then to Senior SDR—all within the span of a year. With each progression, you gain more responsibility, increase your influence, and have a direct impact on your bonus structure. After reaching Senior SDR, there are exciting opportunities to grow into roles like Junior AE or Team Leader SDR, putting you in the driver’s seat of your career journey.
What Will Be Your Impact
Prospect accounts and identify potential new revenue segments for your region by researching and analyzing market opportunities.
Conduct targeted email outreach to engage prospects and spark interest in our client's solutions.
Cold call potential clients to introduce your company and qualify leads based on their needs.
Use LinkedIn and Instagram to connect with key decision-makers, starting conversations and driving interest.
Communicate with their Sales and Operations Team to provide insights into market trends and developments.
Report and manage all of your activities on their SalesLoft platform to organise your own Sales Pipeline.
Leverage video and other media outreach methods to personalize communication and increase engagement with prospects.
Requirements
Have less than 3 years of experience in sales, customer service, or similar client-facing roles, ideally in a high-growth or startup environment.
Possess native-level German and fluency in English.
Experience in selling for a SaaS product would be ideal.
Enjoy taking initiative and achieving results in a fast-paced environment.
Thrive on challenges and are eager to develop your skills in a dynamic market.
Can work independently while contributing to a strong team spirit and collaboration.
Are organised, precise, and demonstrate excellent communication skills in both written and verbal forms.
Have a creative mindset: creative people share ideas, suggest solutions, and are not afraid to innovate!
Comfortable with digital tools and sales software (CRM, LinkedIn, Email platforms, etc.).
Able to multitask and prioritize effectively, managing a high volume of outreach without compromising quality.
Benefits
What They Offer
Their benefits package is thoughtfully crafted to ensure you feel valued, supported, and empowered. They also offer ample career growth opportunities through continuous learning, & mentorship. Plus, they are continuously enhancing their offerings.
Attractive compensation package:
Competitive base salary, performance-based bonuses, and equity options, aligning your success with the company’s growth!
Career growth and development:
Fast-track your career growth with personalized development and trainings.
Diverse & global team:
Work alongside a multicultural, international team that celebrates diversity and creativity.
Work-Life harmony:
Enjoy the flexibility of a hybrid model, with remote days to support your work-life balance.
Say goodbye to homesickness:
Work remotely from abroad for up to 3 weeks each year.
Comprehensive health coverage:
They have got you covered with fully-funded health insurance, so you can focus on what matters most.
Paid sick days:
Feel supported with paid sick leave, because your health and well-being come first.
Exclusive fitness perks:
Stay active with a specially negotiated gym plan, tailored for you.
Team building & sports activities:
Exciting team-building, after-work gatherings and sports initiatives designed to inspire and energize.
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
As an Outbound Sales Development Representative at Baseten, you'll drive strategic outbound into a defined set of target accounts - partnering closely with your Account Executive to research key decision-makers and break through via cold calls, email, and LinkedIn. Together, you'll turn cold accounts into qualified pipeline.
RESPONSIBILITIES
- Build revenue pipeline by setting introductory meetings with potential businesses and key decision makers.
- Help influence Baseten's product roadmap for customers and prospects.
- Identify high-potential businesses and verticals and develop and execute outbound strategies to bring them to Baseten.
- Stay up-to-date on market trends, competition, and industry developments.
- Manage and document the progression of the sales pipeline.
- Drive pre- & post-engagement at industry events (will attend multiple events in person).
REQUIREMENTS
- 1+ year of experience in a sales/lead generation role in a high-tech/SaaS company.
- Ability to develop strong, long-lasting relationships both internally and externally.
- Collaborative and coachable, always looking to improve your skills and impact.
- Ability to handle rejection and stay persistent in pursuing leads.
- Excellent verbal and written communication skills.
- A basic understanding of a standard SaaS seller's technical stack (CRM, Outreach/Salesloft, Prospect Research, etc.).
- Excellent time management, process, and prioritization skills.
- Preferred experience with Cloud or Security sales.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Amsterdam, Netherlands; London, United Kingdom
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
#LI-MM1
We’re looking for a
Software Engineer with strong C++ expertise
to join the team building and operating
Nebius Data Platform
— a distributed storage and a processing platform that acts as the company’s “source of truth” and the backbone of many internal (and some external) products.
Nebius Data Platform is a
single multi-tenant ecosystem based on YTsaurus
— instead of running separate HDFS/Kafka/HBase-style systems, we provide storage, compute, and analytics capabilities inside one platform.
Built on top of the open-source YTsaurus ecosystem, we run and extend our own Nebius distribution and develop significant in-house functionality (core and platform-level). We can design, implement, and roll out features end-to-end on our clusters without waiting for upstream approvals and contribute upstream when it makes sense.
At scale today, this includes
~500 servers, ~20k CPU cores
and
~10 PB of compressed
data
in our largest production cluster, supporting workloads ranging from business-critical pipelines and financial transactions to large-scale ML/LLM training datasets and compute.
What’s inside the platform
You’ll work on a system that includes (and ties together):
Distributed Storage (Cypress)
: transactional semantics, tiered storage, erasure coding, replication, and strong reliability expectations.
Compute & ETL
: a cluster-wide job scheduler (tens of thousands of cores), MapReduce,
YQL
for SQL-like data processing, and
SPYT (Spark over YTsaurus)
for modern data engineering.
Interactive analytics (CHYT)
: ClickHouse® instances spun up directly on compute nodes for fast SQL over data in-place.
Dynamic Tables
: low-latency NoSQL KV with distributed ACID transactions for OLTP-style workloads and feature stores.
Orchestracto
: workflow orchestration deeply integrated with the platform (Airflow-like, but platform-native).
What you’ll do
We’re looking for engineers who combine strong systems skills with
product sense
: understanding who uses the platform, why certain capabilities matter, and making pragmatic trade-offs to maximize impact. On our team, engineering work is expected to be connected to real users and outcomes — you’ll regularly align with internal stakeholders, clarify requirements, and help drive prioritization.
In this role, you will:
Design and implement new functionality in YTsaurus core
(C++) with production reliability in mind.
Build and evolve platform-level capabilities:
platform architecture and operating model—multi-cluster growth, shared primitives, and a consistent experience that scales with new teams and use cases.
Improve
end-to-end platform experience
for internal (and external-facing) users: APIs, guardrails, debugging workflows, and automation.
Own production quality:
incident response / on-call rotation
, root cause analysis, and turning learnings into durable fixes.
Example projects
Roll out sharded YTsaurus masters (incl. Kubernetes operator support) and build automatic balancing of metadata across master cells (consensus groups) to remove control-plane bottlenecks and
unlock 10–100x cluster growth
.
Make CHYT interactive SQL faster and more predictable at high load
via performance work like data-skipping / min-max-style indexes and improved execution introspection.
Turn
Orchestracto into a platform product
by defining the building blocks, developer experience, and governance for how teams create and share workflows.
Scale and harden Parquet-on-S3 for native YTsaurus workloads
by tackling replication/movement, consistent lifecycle semantics, and master-server metadata optimizations for performance and reliability.
Design and ship
complete, trustworthy audit trails for data changes
(who/what/when) across heterogeneous storage and compute paths.
Tech stack
Core:
modern C++
(C++20, async + multithreaded primitives)
Services & tooling:
Go
and
Python
(microservices, utilities, integration tests)
What we expect
5+ years
of software engineering experience.
Strong
C++
skills (you’ll write core code).
Working knowledge of
Python and/or Go
(you don’t have to be expert, but should be comfortable navigating them).
Experience developing and/or operating
high-load, distributed services
.
Production mindset: ability to
use SSH, read logs/metrics/traces
, and debug distributed systems behavior.
Solid CS fundamentals: algorithms, data structures, concurrency basics.
Nice to have
Experience with Big Data systems (YTsaurus/Hadoop/Spark/ClickHouse/Kafka-like ecosystems).
Experience with multi-tenant platforms, schedulers, resource isolation, quotas, and reliability engineering.
Strong performance engineering skills (profiling, lock contention, latency/throughput tradeoffs).
We conduct coding interviews as part of the process.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Remote - Ontario, Canada
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
Reddit has a flexible workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence.
Team Description
Reddit is poised to rapidly innovate and grow like no other time in its history. We’re currently hiring across multiple teams, some of these teams include:
Ads ML Serving Team
The Ads ML Serving team is part of Reddit’s Ads ML Platform, which builds the infrastructure and tools that power machine learning across Ads. This team focuses on creating a highly reliable, scalable, and efficient ML serving stack. Their work includes evolving long-term serving architecture, integrating closely with the ads serving stack, optimizing CPU/GPU performance, and building model velocity tools like observability libraries and model quality gating.
Attribution & Identity Team
The Attribution & Identity team builds products that help advertisers understand and measure the impact of their campaigns. They focus on attribution systems, identity solutions, and advertiser experimentation tools that improve performance insights and usability. Their goal is to make Reddit’s advertising platform more effective, transparent, and data-driven.
Ads Growth Team
The Ads Growth team drives initiatives to expand Reddit’s advertiser base, with a focus on Small to Medium Businesses (SMBs). We build and scale the technical foundation for key product pillars that enable SMB advertisers to succeed on Reddit. Our work spans collaboration with product, design, marketing, data science, UX, and sales teams to deliver measurable business outcomes.
We prioritize iterative development, rapid shipping, rigorous testing, and building capabilities that create step-change growth. Our goal is to multiply the number of monthly active advertisers by delivering impactful tools, features, and experiences tailored to the needs of SMBs.
Business Manager
The Business Manager team stands out for its genuinely inclusive and collaborative culture, where not only is open feedback central, but every opinion and idea is truly valued and given space to shape our direction. Here, diverse perspectives are seen as a core strength, fostering a team dynamic where everyone feels empowered to contribute and innovate. On a day-to-day basis, engineers tackle complex, high-stakes challenges at the core of Reddit’s ads platform which include innovating on permissions systems, building Agency and Large Enterprise solutions, and driving adoption among Reddit's largest advertisers. From ideation to delivery, our engineers are trusted with end-to-end ownership of their projects, working closely in cross-functional collaboration with PMs, UX, and partner teams. This hands-on approach means every team member plays a direct and visible role in delivering high-impact, user-focused solutions for some of Reddit’s most strategic advertisers.
Role Description:
This is a generalist mid-level backend position within the Ads Organization. Ads is the fuel that powers Reddit’s mission. As a backend engineer on the team, candidates might work on:
Microservices and APIs that power our advertiser-facing product, ads.reddit.com
Distributed systems that ensure the right ad gets shown to the right user at the right time
Backends that power interactive user experiences on our ads like Polls and Games
Real time, data intensive systems that measure the performance of our ad campaigns
Infrastructure that supports all of the above
Technologies used on the team include:
Languages: Go, Python, Scala
Frameworks: Spark, Thrift, Baseplate, Kafka
Datastores: Postgres, BigQuery, Redis, Druid
Tools: Kubernetes, Argo, Docker
Mid-level engineers are expected to absorb best practices and learn exceptionally quickly while being effective core contributors. Engineers at this level must be able to code independently, but may work with senior engineers on the design of complex solutions. The most important skills an engineer at this level must possess are 1) coachability and an eagerness to grow, 2) deep passion for coding, and 3) excellent independent learning skills, all while operating as a fully functioning member of an engineering team.
Responsibilities:
Work with product managers to design and implement Ads products.
Collaborate closely with the platform and data teams while building new features.
Lead the processes needed to improve operational stability, including improving code quality, delivering dashboards and data visualizations.
Build extensible components that would align with the product objectives.
Support day to day project management tasks including communicating project updates, managing project timelines and overseeing project execution.
Required Qualifications:
3+ years of software development experience in one or more general purpose programming languages (Java, Scala, Go, C++, Python).
Able to take complete ownership of a feature or project.
Bonus Points:
Experience working in the Ads domain
Experience or interest in the advertising business and understanding customer needs
Benefits:
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Comprehensive Medical Benefits & Health Care Spending Account
Registered Retirement Savings Plan with matching contributions
Income Replacement Programs
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
Reddit has a flexible workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence.
Role Description:
This is a generalist mid-level backend position within the Ads Organization. Ads is the fuel that powers Reddit’s mission. As a backend engineer on the team, candidates might work on:
Microservices and APIs that power our advertiser-facing product, ads.reddit.com
Distributed systems that ensure the right ad gets shown to the right user at the right time
Backends that power interactive user experiences on our ads like Polls and Games
Real time, data intensive systems that measure the performance of our ad campaigns
Infrastructure that supports all of the above
Technologies used on the team include:
Languages: Go, Python, Scala
Frameworks: Spark, Thrift, Baseplate, Kafka
Datastores: Postgres, BigQuery, Redis, Druid
Tools: Kubernetes, Argo, Docker
Mid-level engineers are expected to absorb best practices and learn exceptionally quickly while being effective core contributors. Engineers at this level must be able to code independently, but may work with senior engineers on the design of complex solutions. The most important skills an engineer at this level must possess are 1) coachability and an eagerness to grow, 2) deep passion for coding, and 3) excellent independent learning skills, all while operating as a fully functioning member of an engineering team.
Responsibilities:
Work with product managers to design and implement Ads products.
Collaborate closely with the platform and data teams while building new features.
Lead the processes needed to improve operational stability, including improving code quality, delivering dashboards and data visualizations.
Build extensible components that would align with the product objectives.
Support day to day project management tasks including communicating project updates, managing project timelines and overseeing project execution.
Required Qualifications:
3+ years of software development experience in one or more general purpose programming languages (Java, Scala, Go, C++, Python).
Able to take complete ownership of a feature or project.
Bonus Points:
Experience working in the Ads domain
Experience or interest in the advertising business and understanding customer needs
Benefits:
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$164,200
—
$229,900 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: Global Anywhere
Who We Are:
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure
for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
Your Role:
As a Senior Engineer, you will be responsible for designing, implementing, and maintaining the systems and services that form the foundation of Alpaca and empower millions of users who are trading billions of dollars worth of assets.
The Ledger Team is responsible for building a modern ledger system, whose purpose is to maintain a complete and correct view of everything that has ever happened in every account. From a business perspective, the ledger provides a structured and organized system for recording and aggregating transactional data. It plays a crucial role in supporting financial reporting, decision-making, and compliance. From an engineering perspective, the ledger serves as the source of truth for many services in the Alpaca ecosystem.
For this role, we are seeking an experienced engineer who is obsessed with delivering defect-free solutions, has proven experience architecting and building at scale, and who is not afraid of challenging conventions or voicing their opinions. In this role, you will have the autonomy to design and implement solutions to achieve defined goals while actively participating in defining those goals in cooperation with a cross-functional team.
Things You Get To Do:
Collaborate with internal stakeholders–including finance, operations, and product teams–to deliver high-impact features/projects
Build backend systems/components with integrity, maintainability, scalability, and stability in mind
Own the delivery of high-visibility features/projects, from design to deployment
Collaborate with engineering teams to improve the health of Alpaca’s systems
Who You Are (Must-Haves):
A seasoned engineer with 5+ years of experience working on systems at scale
Obsessed with performant, defect-free, maintainable code
A strong problem solver with a proactive mindset
A collaborator who is capable of creating alignment with technical and non-technical stakeholders alike
Comfortable working heads-down or tag-teaming problems
Strong coding skills, preferably in Go
Ability to debug issues or, better yet, foresee problems and avoid them entirely
Experience with IDLs (e.g., protobuf), RPC frameworks (e.g., gRPC), cloud platforms (e.g., GCP), and relational databases (e.g., PostgreSQL)
Who You Might Be
(
Nice-to-Haves):
Experience in the financial services or accounting industry
Experience with distributed systems/databases
Experience with event-driven systems and messaging brokers (e.g., Redpanda)
Experience working remotely
Experience working at a startup
How We Take Care of You:
Competitive Salary & Stock Options
Health Benefits
New Hire Home-Office Setup: One-time USD $500
Monthly Stipend: USD $150 per month via a Brex Card
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
Recruitment Privacy Policy
seniorLondon
San Francisco, CA • New York, NY • United States
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leadDusseldorf, Germany; Data Analytics Tech Lead (m/f/d) - relocation; Relocation from abroad is possible; Comprehensive relocation support for you and your family, ensuring a smooth transition to your new role and surroundings; Relocation package to facilitate your move and ease any initial expenses
San Francisco, CA
ОфисLondon; New York; Singapore; Dubai
УдалённоWe are growing teams in EMEA, Americas and APAC time zones, so can accommodate candidates from almost any country
Berlin, Germany
ГибридSan Francisco
seniorSan Francisco, California, United States
ГибридSan Francisco; Remote; Toronto; New York; Montreal; Seattle
Berlin, Germany
ГибридSan Francisco; New York
seniorAmsterdam, Netherlands; London, United Kingdom
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