Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are seeking a Strategic Finance Lead to provide finance leadership for our accelerator investments. In this role, you will be a key partner to our compute teams, providing financial expertise and guidance to optimize our compute investments and drive strategic decision-making.
In this role, you’ll develop deep expertise in the economics of AI compute, from the unit economics of individual training runs to the long-range financial planning of our accelerator fleet. You’ll build financial models that inform Anthropic’s investment decisions, own planning and forecasting processes for major cost centers, and translate complex technical dynamics into clear financial narratives for leadership.
This is a high-impact role for someone who thrives at the intersection of finance and technology, and who is energized by building frameworks from scratch in a fast-moving environment.
Key responsibilities
Finance lead for cloud accelerator compute spend, including budgeting, monthly forecasting, variance analysis, and financial plan maintenance
Build and maintain detailed bottoms-up data-driven financial models for accelerator infrastructure, including long-range forecasts, cost driver analyses, and investment scenario modeling
Develop deep expertise in compute contracts, pricing structures, and cost drivers, and surface optimization opportunities across our infrastructure
Serve as subject matter expert for Anthropic’s overall compute capacity plan, owning source of truth and plan of record
Support the implementation and management of financial planning tools (e.g., Pigment), ensuring our models and processes scale with the organization
Analyze the economics of model training and research compute, including ROI across different dimensions like training run sizes, chip types, data, etc, and distill into actionable framework for capacity planning and deployment
Partner closely with engineering and research teams to understand how training and reinforcement learning processes scale, and translate those technical dynamics into financial frameworks
You may be a good fit if you have:
Exceptional analytical skills with an ability to synthesize data into compelling insights and develop complex financial operating models
Extraordinary problem-solving and critical thinking abilities to come up with new frameworks for assessing profitability and capital efficiency in a rapidly evolving industry
Attention to detail and patience for getting to the source of truth on complex and interconnected underlying financial and legal frameworks
Comfort working cross-functionally and are adept at communicating complex financial information to non-finance audiences
Proven track record of partnering with technical teams to drive financial optimization initiatives
Excitement about working collaboratively in a fast-paced, dynamic environment and adapt well to change
Possess a bias towards action, strong work ethic, and have experience driving operational outcomes under tight timelines
Strong relationship building, business judgment, process management, and communication skills
Are passionate about Anthropic's mission to build safe, transformative AI systems
Are passionate about the effective integration of AI tools to streamline manual finance workflows
Background in AI, ML, or high-performance, large-scale computing infrastructure, including data centers, cloud service providers, etc
Preferred qualifications
7+ years of experience in strategic finance, infrastructure investment, private equity, growth equity, consulting, or investment banking, preferably with infrastructure, datacenter, or technology infrastructure experience
3+ years of experience specifically in cloud infrastructure financial management
Experience working directly with major cloud service providers (AWS, GCP, Azure)
MBA or other advanced degree in finance, economics, or business
Deep expertise in cloud service provider economics, contract structures, and pricing models
Experience with chip architecture economics and optimization strategies
Proficiency with financial modeling tools and languages (SQL, Python, Excel)
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:
$240,000
—
$325,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Berlin (Germany)
Principal Product Manager (AI Product)
- Join Our Innovative Team at thinkcell Software
Our Story
At thinkcell, we create powerful software solutions that help professionals be more efficient and productive. Founded in 2002 and based in Berlin, our tools integrate seamlessly with Microsoft Office to help users create presentations, charts, and diagrams with ease. Our dynamic, international team values creativity, collaboration, and technical excellence.
What You Will Do
You'll
co-
own our AI product end-to-end, from discovery to
business outcome
.
You'll
set direction
s to
p
roduct
m
anagers who each own parts of the product, while staying close to customers and
internal stakeholders
.
With
designers and engineers,
you'll
make sure we build the right thing
s and
build them well. This is a pivotal role
to help execute an ambitious vision
.
Key Responsibilities:
Co-own the product
Co-own our AI product end-to-end, from market research and discovery through to UAT and release together with product design and engineering
Translate user needs into relevant business outcomes, not just features and products
Contribute to product vision, strategy and roadmap in close partnership with leadership
Teaming
Foster an empowered team across product, design and engineering to deliver great outcomes
Set direction for and coach other product managers who own parts of the product
Understand and align with senior management and all other business stakeholders to ensure outcomes pay into vision and strategy
Stay close to the customer
Be the voice of the customer, advocating for user needs while balancing technical constraints and business goals
Keep abreast of industry trends and competitive products so thinkcell stays ahead of the curve
Use latest technology to deploy best-in-class discovery
You will be great for this position if you have
Experience:
5+ years as a product manager on software products, including a track record of mentoring or leading other PMs
User-centricity:
a passion for understanding user needs and translating them into impactful, efficient, and delightful products and business outcomes
Technical & AI fluency:
strong IT affinity, understanding of how our products are built, and familiarity with AI products and technologies (experience shipping AI-powered products a plus)
Communication:
outstanding communicator who partners effectively with engineering and builds compelling presentations (PowerPoint experience a plus)
Resilience and adaptability:
thrives under pressure, embraces evolving processes, and stays focused on delivery
Language:
fluent in English, written and spoken
Willingness to work on-site in our Berlin office 4 days per week, with 1 remote day
Our Values
As part of our team, you will embody and help shape the following principles that define us:
Forward Thinking
: We embrace change and challenge the status quo.
Ownership
: We take pride in our work and learn from our mistakes.
Customer First
: We prioritize delivering lasting value.
Unified Team
: We foster collaboration, respect, and integrity.
Strive for Excellence
: We set ambitious goals and pursue quality.
We believe in a human hiring process, every application is personally reviewed.
Why is thinkcell the right place for you?
We empower over 1.3 million users across 35,000 companies, including top consulting firms and major global enterprises. With offices in Berlin, Munich, Denver, Munich, London, Tokyo, and Dubai, we’re a diverse team of over 250 people, committed to innovation and excellence.
thinkcell is more than a job – it's a chance to be part of an innovative, inclusive team that values collaboration and growth. We encourage applicants from all backgrounds to apply. Together, we can shape the future of productivity software. We can’t wait to see what you’ll bring to the team!
Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the Role:
We are seeking an exceptional Applied Scientist to join our Applied Science team. In this role, you will design, develop, and deploy the algorithmic systems that power Garner's products and drive meaningful impact for our members. Our members rely on us to answer hard questions — Which doctor should I see? What will it cost? When should we reach out, and how? — and the quality of those answers is determined by the algorithms behind them.
This is not a dashboards or descriptive-analytics role. You will own production systems end-to-end: framing the problem, defining the objective function, choosing the right approach (ML, optimization, heuristics, expert systems, or a hybrid), shipping it, and improving it against real-world outcomes. The closest analog outside healthcare is a quantitative researcher at a top hedge fund.
What you will do:
Own the most ambiguous, high-stakes problems on the team end-to-end, and serve as a technical resource others rely on
Frame messy, real-world healthcare and business constraints into clear objectives, tradeoffs, and decision frameworks
Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship
Choose the right approach for each problem, from machine learning to optimization to heuristics to simple rules, based on what the problem actually calls for
Find novel ways to frame and solve the team's hardest problems, proving out approaches that others build on
Set the bar for quality by reviewing others' work with rigor, and build the standards and evaluation tooling the team relies on
Build a deep understanding of the healthcare economy and Garner's place in it
To make the role concrete, here are three problems on our near-term roadmap:
Provider tiering optimization.
Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions.
AI primary care doctor.
Fine-tune and productionize an LLM-based primary care experience on our website, including the evaluation harness, guardrails, and ongoing quality monitoring needed to ship a medical-adjacent product safely.
Member engagement model.
Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care.
What we're looking for:
4+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; or 2+ years of industry experience with a relevant advanced degree, PhDs preferred
A bias toward action, quickly translating ideas into working prototypes to test approaches
Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them
Deep technical range, with fluency across Garner's data and a habit of staying current with advances in the field
Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem
Strong communication skills and the ability to synthesize complex algorithmic ideas for senior and external stakeholders, and to secure buy-in for cross-team work
A desire to be a part of a high-performing, mission-driven team that operates with urgency, a strong sense of individual accountability, and a commitment to authentic feedback
What you'll get here
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Technologies we use:
Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment.
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
Compensation Transparency:
The target base comp range for this position is
$200,000 – $230,000
. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an exceptional Applied Scientist III to join our Applied Science team. Garner is hiring Applied Scientists to design and ship the algorithmic systems at the core of our product. Our members rely on us to answer hard questions — Which doctor should I see? What will it cost? When should we reach out, and how? — and the quality of those answers is determined by the algorithms behind them.
This is not a dashboards or descriptive-analytics role. You will own production systems end-to-end: framing the problem, defining the objective function, choosing the right approach (ML, optimization, heuristics, expert systems, or a hybrid), shipping it, and improving it against real-world outcomes. The closest analog outside healthcare is a quantitative researcher at a top hedge fund.
Where you will work:
This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Ship production algorithmic systems end-to-end, from problem framing to launch to iteration
Frame messy, real-world healthcare and business constraints into clear objectives, tradeoffs, and decision frameworks
Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship
Choose the right approach for each problem, from machine learning to optimization to heuristics to simple rules, based on what the problem actually calls for
Bring new ideas to your work, experimenting with approaches beyond the obvious to get better results
Produce rigorous, well-validated work others can rely on, and review your peers' code and analyses
Build a deep understanding of the healthcare economy and Garner's place in it
To make the role concrete, here are three problems on our near-term roadmap:
Provider tiering optimization.
Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions.
AI primary care doctor.
Fine-tune and productionize an LLM-based primary care experience on our website, including the evaluation harness, guardrails, and ongoing quality monitoring needed to ship a medical-adjacent product safely.
Member engagement model.
Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care.
What we're looking for:
2+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent advanced degree
A bias toward action, quickly translating ideas into working prototypes to test approaches
Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them
A solid command of the methods your work calls for and the data your models depend on
Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem
Strong communication skills, with the ability to present your work clearly to senior stakeholders
A desire to be a part of a high-performing, mission-driven team that operates with urgency, a strong sense of individual accountability, and a commitment to authentic feedback
What you'll get here
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Technologies we use:
Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment.
This is a unique opportunity to work on high-impact search problems in healthcare, helping shape how members find better care through algorithmic systems that directly influence healthcare outcomes.
Compensation Transparency:
The target base comp range for this position is
$158,000 – $190,000
. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: Hamburg
Workplace: Hybrid
adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually.
Serving 2,000+ Distinct Ad Experiences With Sub-Second Time to Interactive
The rewarded ad experience is where the value exchange becomes real, the second a user decides whether to engage or scroll past. The Catalog team owns that moment, designing how users discover and interact with the most relevant ads. With over 200 million monthly visits, there's no room for slow rendering or poor personalization. Performance and relevance have to be perfect on every request.
The system runs on AWS Spot Instances spare compute capacity that can disappear at any moment, yet our system is built to stay online without any interruption for the user. Backed by Kubernetes with event-driven autoscaling, everything is tuned for millisecond-level data retrieval so the experience never feels slow, even at 200 million monthly visits. The frontend is built on React and Vite, leveraging Code Splitting and Tree Shaking to keep core bundles lean and Time to Interactive under a second. On top of that, a config-driven engine lets the team customize the entire ad experience or run A/B experiments per more than 2000 games on the fly, ensuring the right ad reaches the right user while continuously moving conversion rates in the right direction.
YOUR MISSION & WHO WE ARE LOOKING FOR
- Production Golang Systems Expertise: You bring 5+ years of backend development experience, including at least 3 years writing Go in production distributed environments. You will build and maintain our +99% Go microservice architecture—interfacing with our TypeScript/React frontend—to reliably handle 2+ million daily publisher interactions and scale beyond hundreds of millions of monthly active users.
- High-Throughput Event Streaming: You have hands-on experience designing asynchronous microservice communication using event buses like Kafka, SQS/SNS, and Kinesis. You will build pipelines to collect billions of daily API events and aggregate them into our data lake for sub-second querying.
- High-Scale Data & API Optimization: You understand database internals and low-level web standards (HTTP protocol, Encoding, Regular Expressions). You will optimize queries across hundreds of terabytes of data across DynamoDB, MySQL, Druid, and Athena to reduce API response times and expose transparent, well-documented open APIs to enterprise partners.
- Data Science & Algorithmic Integration: You quickly grasp complex technical topics and applied mathematics. You will partner directly with our Data Science team to translate and integrate machine learning algorithms into adjoe’s core application, optimizing real-time ad targeting.
- Collaborative Technical Communication: You communicate fluently and precisely in spoken and written English. You will actively participate in peer code reviews and technical knowledge sharing across an international backend engineering team.
- Plus: Infrastructure & Cloud Tooling: Hands-on experience with Terraform (Infrastructure as Code), Docker containerization, or serverless infrastructure.
🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team.
At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day.
- Go Big. Own projects with impact on 770M users and push adtech boundaries.
- Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum.
- Be Direct. Solve problems openly and collaborate across teams.
- Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other.
- Have Fun. Celebrate wins, enjoy daily victories, and bring your energy.
We welcome applications from people who will contribute to the diversity of our company.
Location: Warsaw; Minsk; Chișinău; Belgrade; Buсharest; Milan
Workplace: remote
We’re looking for a Lead Java Developerwith C background to help us build and scale a cloud PBX solution.
We expect you to have strong problem-solving skills, be self-motivated, initiative, and responsible.
Your daily duties will include implementing different SIP proxy features using Java/C , with respect to high availability and scalability.
Responsibilities:
Collaborate with business stakeholders and actively participate in product planning and sprint backlog meetings.
Take responsibility for the full software development lifecycle, from understanding business requirements through coding, deployment, and maintenance.
Develop and maintain technical design, architecture, and troubleshooting documentation.
Demonstrate a technology-agnostic mindset and continuously explore new technologies and approaches.
Analyze and interpret stack traces, crashes, memory issues, and performance bottlenecks.
Implement patches, backports, or enhancements directly in Asterisk source code.
Develop custom modules (C), when needed.
Work with Linux systems (systemd, networking, tuning, kernel parameters).
Work with cloud environments (GCP preferred).
Participate in architecture decisions.
Design and implement Asterisk dialplans.
Requirements:
Have at least 7+ years of production experience with large-scale deployments.
Strong hands-on experience with
Java.
Hands-on experience with C.
Have experience with CI/CD, clouds, Linux & networking.
Experience with CI/CD tools such as GitHub Actions, Jenkins, ArgoCD, and Maven.
Proficiency with relational databases, particularly MySQL, including schema design, migrations, and query optimization.
Have a good level of English (B2 or higher).
You are ready to act as the technical lead.
Can work cross-team with backend developers, infra/DevOps, QA, and product owners.
Own best practices, code quality, and documentation.
We are pleased to offer:
Remote work as b2b contractor or on-site/hybrid employment (Belarus-Moldova) work opportunity!
Stable job with long-term growth perspective.
Competitive salary with annual performance review.
Really good hardware.
An exciting and challenging job with talented people around.
Continuous learning and career growth opportunities.
Compensation for professional training, seminars, and conferences.
Referral program – get rewarded for helping us grow the team with talented people.
Company-supported English classes to enhance your professional growth.
More perks for the Minsk and Chisinau office employees.
A few words about us:
IDT Corporation is a global communications company founded in 1990 and headquartered in Newark, New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20 countries, and have over $1.5 billion in revenues.
We are not ”another big IT corporation”— we encourage and support in-house entrepreneurs in developing their ideas into business actions.
Net2Phone is a rapidly growing global provider of unified cloud communications solutions. It solves the problem of cost optimization for businesses in more than 50 countries, providing them with high-quality VoIP services. Net2Phone provides businesses with an integrated communications suite featuring powerful collaboration tools such as voice, messaging, chat, and unlimited domestic and international calling to 23+ countries.
The product was named ‘VoIP Supplier of the Year’ by the Telecom Consulting Group in 2018.
Simple Life is the #1 AI-powered health coaching app for adults who want to lose weight and enjoy a healthier lifestyle—without the stress or extremes. Our mission is to empower people to feel their best every day. By challenging traditional, restrictive approaches, Simple offers a more sustainable method grounded in ease, personalization, and real-life support. Simple has had over 17 million downloads and more than 300,000 5-star reviews, having helped millions lose weight successfully and sustainably. Simple has earned recognition as Best Virtual Coach and one of the Top 100 AI companies — all thanks to a dedicated global team driving real impact. With SIMPLE as a partner in their pocket, users feel cared for and empowered to embrace — and stick to — new healthy habits.
Simple is looking for a Senior Data Engineer to join our Tech team. Push the pace of innovation and build a future of a healthier world with us!
Задачи:
— Design, build, and maintain streaming pipelines.
— Develop custom ingestion pipelines from third-party APIs, webhooks, and SDKs.
— Migrate existing data ingestion pipelines from SaaS tools to our own infrastructure.
— Deliver data to the raw layer of our Snowflake warehouse with schema consistency, idempotency, and resilience to malformed or late data.
— Evolve the existing AWS streaming stack (Kinesis, SQS, Lambda, API Gateway), improving cost efficiency, observability, and resilience.
— Maintain infrastructure as code (Terraform) for ingestion and processing resources.
— Monitor pipelines, troubleshoot, and resolve incidents.
— Contribute to our ongoing work on safe data access for AI agents and tooling.
— Continuously improve ingestion architecture, tooling, and engineering practices.
Требования:
— 5+ years of commercial Python experience in a backend or data engineering role.
— Solid understanding of distributed systems architecture, including load balancing, sharding, and trade-offs between synchronous and asynchronous processing.
— Hands-on experience with cloud services, preferably AWS (Lambda, API Gateway, containers in ECS/EKS).
— Experience building streaming pipelines (Kinesis, SQS, or equivalents).
— Experience with infrastructure as code (Terraform or equivalents).
— Working knowledge of SQL: ability to read and write queries, including joins and window functions.
— Commercial experience with real-world production data: ability to design systems that gracefully handle messy, duplicated, delayed, or malformed input.
— Solid understanding of how data flows through production systems, including the ability to anticipate and prevent downstream issues.
— Operational mindset: comfortable owning production systems and monitoring them.
— Ability to make architectural decisions independently and review the work of teammates.
Желательно:
— Strong SQL and data modeling skills.
— Experience with Snowflake and dbt.
— Experience with workflow orchestrators (Airflow, Dagster, Prefect, or equivalents).
— Experience working with analytics and product teams as a data provider.
— Experience working with sensitive or regulated data.
Условия:
— Open-minded teams, a welcoming and inclusive company culture.
— Competitive salary package based on expertise, skillset, and impact plus stock options.
— In-office, remote and hybrid work opportunities.
— Equipment needed for productivity.
— Premium SIMPLE subscription.
— 21 days annual leave plus bank holidays.
— Flexible hours focusing on results, not desk time.
О компании и ценностях:
— Data-driven decision making.
— Focus on impact and speed.
— Ownership and responsibility.
— Encouragement to push limits and innovate.
— Team accountability and collaboration.
Location: United States
Workplace: Remote
WHO WE ARE
Help Scout started in 2011 with a simple premise: support software should treat customers like people, not tickets. 3+ billion conversations later, more than 10,000 companies use Help Scout to grow relationships with customers of all types, from clients to patients and beyond.
Now we’re in a new chapter: not only building AI that gives teams more space to focus on the customer experience, but also reimagining how we operate in an AI-native world. That means shipping and learning faster, without compromising on craft. Great work here carries a strong opinion and sweats the details, regardless of the tools we use to drive it.
We’ve been a fully remote team https://articles.helpscout.com/blog/remote-culture/ since day one, with 120+ teammates now all over the world. It’s a culture where you’ll be trusted to take ownership, stay curious, and raise the quality of work around you. It comes with clear expectations and a team that will push you to do some of the best work of your career.
If that kind of challenge gives you energy, we’d love to meet you.
Please note: For this role, we are only able to hire in the United States.
ABOUT THE ROLE
As the search landscape shifts and our market gets more crowded, Help Scout is investing more than ever in paid and performance marketing to accelerate signups, expand brand awareness, and diversify how we reach customers.
It's an exciting time to be here. We've got a best-in-market product story, strong creative assets, and stellar copywriting. What we need now is a strategic owner to take our performance marketing motion from early-stage to a durable growth engine that fuels our self-serve, product-led, and sales-assisted growth. You'll report to the VP of Marketing, setting and executing the strategy for how Help Scout invests in paid channels while building deep partnerships across Marketing, Sales, Product, Support, and company leadership.
In this role, you will:
- Own performance marketing strategy. Set the quarterly and long-term strategy for how paid, lifecycle, and conversion work together to hit the signups number, defining what's needed from each channel and building the plan B when something's off. You'll be the person leadership turns to for the full picture of paid performance.
- Move Help Scout upmarket. Own iteration of ad copy, creative, bidding strategy, and budget allocation across paid search and display, and set the bar for how we drive both our horizontal motion for volume and our vertical motion for larger deals.
- Build the business case for new channels. Identify and evaluate new channel investments, paid social, affiliate, direct mail, OOH, and drive alignment with leadership on where to place new bets and how to measure them.
- Partner on pipeline outcomes. Work closely with Sales and RevOps to connect paid spend to pipeline and revenue, not just top-of-funnel volume, and make sure channel investment decisions reflect what's actually converting downstream.
- Partner to grow organic and paid in harmony. Work with content, social, SEO, and AEO to make sure paid and organic acquisition reinforce each other rather than compete for the same ground.
- Represent Help Scout's performance marketing point of view. Bring an informed perspective on where the paid landscape is heading, and use that expertise to keep Help Scout ahead of a crowded, competitive market.
- Own our presence in AI-driven discovery. As search shifts toward AI overviews and LLM-based answers, you'll define how Help Scout shows up in that landscape alongside traditional paid and organic search.
- Shape the future of the function. This is currently an individual contributor role with agency support. You'll build the roadmap for what performance marketing needs to look like over the next 12-18 months, including where headcount should come in as the motion scales.
ABOUT YOU
- You have at least 7+ years in performance or growth marketing, including experience owning strategy for a B2B SaaS company.
- You have significant experience in paid/performance marketing, with a track record of owning strategy for B2B SaaS companies – not just executing campaigns.
- You're an expert across paid channels and know the search landscape and the benchmarks that matter (PPC, CPM, ROAS), and you can identify which channels and investments matter most for the business right now.
- You have a scrappy, results-driven mindset. You're comfortable working with ambiguity, a modest budget, and a lean marketing team, and you know how to out-creative the competition while also spending in the right way to drive results.
- You have strong analytical skills, with deep experience in tools like Google Analytics, Google Tag Manager, and attribution platforms, and you know how to turn data into a clear recommendation for leadership.
- You know how to run rapid experimentation and adapt strategy based on what the data tells you – and you have a plan B ready before you need it.
- You use AI tools daily to improve your output, and you can point to specific examples where AI changed the speed, quality, or scale of what you delivered.
- You have excellent verbal and written communication skills, know how to communicate and build relationships across a remote, async organization, and can present insights and strategy to senior leaders and cross-functional teams.
- Bonus: you have experience managing an agency and/or direct reports to execute a paid marketing strategy.
COMPANY VALUES
HAPPY TO HELP
Help is in our first name! We show up for each other — not out of obligation, but because we’re invested in the team’s collective success. We share knowledge freely, lead with generosity, and practice empathy with our teammates, customers, and community.
CRAFT OVER CONVENTION
Our success relies on the quality and craft https://paulstamatiou.com/craft of the work we put into the world. The status quo simply won’t work. So we insist on narrow focus, sweating every detail, and relentless pursuit of customer delight.
PROGRESS NOT PERFECTION
Achieving our true potential — collectively and individually — requires constant progress and forward momentum. By creating a culture of curiosity and openness, we aim to create a safe space for mistakes, the ability to identify them quickly, and use them to get better.
OWN THE OUTCOME
Own the outcome means taking full responsibility for the results of your work, decisions, and contributions. It reflects a mindset of accountability, proactiveness, and follow-through. If you “own the outcome,” you don’t just complete tasks, you ensure your work leads to meaningful results, and take initiative to solve problems rather than passing them along.
Read more about how we define, share, and live these values here https://articles.helpscout.com/blog/aligning-culture-with-values/.
BENEFITS AND PERKS
- Competitive salary and an internal, transparent salary formula based on market data
- Flexible time off – you choose the holidays and vacations that make sense for you
- 12 weeks of fully paid parental leave for all new parents, including adoption and foster care
- A home office stipend to help you get set up and productive
- A co-working stipend up to $300 a month if you choose to work out of your house
- A yearly professional development stipend of $1,800 to help you grow in your craft
- If you’re in the U.S. or Canada, we offer top tier health insurance for you and your dependents.
HIRING GUIDELINES:
All roles at Help Scout are fully remote. Some positions have specific location requirements. For roles outside the U.S. and Canada, we work with teammates as independent contractors under country-specific agreements.
We do not sponsor visas. Teammates must already be authorized to work from their home country.
We are an equal opportunity employer and are committed to building a company that embraces and celebrates diversity and inclusion https://www.helpscout.com/dei/. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. We have read the studies and understand that diverse teams build better products, bring more perspective to the table, contribute to a company’s financial success, and help foster a more inclusive environment for all employees, but the bottom line is that it's the right thing to do.
To provide you with the best experience, we can support you with accommodations or adjustments at any stage of the recruitment process. Simply inform our recruitment team during your conversation with them.
A NOTE ON THE USE OF AI IN OUR INTERVIEW PROCESS
While we understand that AI is an important tool in a modern skillset, we ask that you do not utilize AI assistants live on our interviews. Of course, use any tools you need to prepare! But we'd like for you to have a real human-to-human conversation with our team.
On our end, we utilize a platform called Brighthire as a notetaker and review tool to ensure a fair and transparent hiring process.
Beware of scammers! All legitimate communication from Help Scout regarding your application will come directly from an @helpscout.com http://helpscout.com email address and through our applicant tracking system, Ashby. We will never ask for personal financial information or conduct interviews outside of these official channels.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
Humanoid is seeking a highly driven and experienced Product Program Manager to join our Product Department. This critical role will lead the end-to-end development and delivery programme and relevant product-related projects for Humanoid's next-generation bipedal humanoid robot fleet solution – from Alpha prototype to production version, and from early adoption to mass deployment and further to different version obsolescence.
As the anchor for the development, launch and deployment process, you will drive cross-functional coordination across Product, Engineering, Operations, and Marketing teams to ensure that the solution is delivered on-time, on-cost, on-quality, and on-spec.
This is a highly collaborative role, requiring deep expertise in programme delivery and budget management across both technical and non-technical workstreams, as well as in product lifecycle for products that combine cutting edge hardware and software technologies. You will work closely with Engineering's Technical Program Managers (TPMs), who own the detailed technical execution of the mechanical, actuation, controls, perception and other AI systems that underpin safe and reliable bipedal locomotion, manipulation and interaction, to ensure their workstreams are integrated into the overall programme plan, as well as other key stakeholders. The ideal candidate will possess strong leadership skills, a structured delivery and product-oriented mindset, and the ability to operate confidently across a diverse stakeholder landscape.
WHAT YOU'LL DO
- Lead the full lifecycle programme management of the humanoid robot fleet solution development & deployment – from planning, design, prototyping, testing, manufacturing to launch, early to mass deployment, version update to obsolescence or repurposing.
- Act as the central coordination point between Product, Engineering, Operations, Manufacturing, Supply Chain, Marketing, Business Development and Finance to align resources, schedules, and deliverables.
- Develop and maintain programme plans, risk registers, dependency maps, and stage gates to ensure structured and transparent delivery.
- Champion best-in-class governance, reporting, and communication processes to ensure all stakeholders remain informed and engaged.
- Identify and mitigate programme risks and issues early to maintain momentum and resolve delivery challenges.
- Support the Product Department in defining scope, prioritisation, and trade-off decisions throughout the development & deployment cycles.
- Drive alignment between cross-functional teams and facilitate decision-making to unblock issues across technical and operational domains.
- Own programme budget planning and management across development, testing, tooling, and deployment phases – building and maintaining the budget, tracking actual spend against plan, forecasting variances, managing change control on cost impacts, and reporting budget performance to senior stakeholders.
- Partner with Engineering's Technical Program Managers (TPMs) to drive delivery of the bipedal locomotion, whole-body control, sensor integration, and safety/certification workstreams – ensuring their technical plans and test campaigns are reflected in the overall programme schedule and dependencies, with progress reported transparently to stakeholders. TPMs own the detailed technical execution and design decisions; this role owns the programme-level integration, sequencing, and accountability for outcomes.
- Work with Engineering TPMs, Supply Chain, and Finance to manage the commercial, budget, and schedule aspects of supplier/partner relationships for critical bipedal subsystems (actuators, gearboxes, batteries, sensors), and to translate technical KPIs (e.g. locomotion performance, MTBF, production readiness) into programme-level cost, schedule, and quality reporting.
WHAT WE'RE LOOKING FOR
- Bachelor’s degree or higher in Mechanical, Electrical, Mechatronics, Manufacturing, Industrial Design Engineering or a closely related technical discipline.
- 7+ years of experience in programme or project management roles within technology or product development environments, preferably in Robotics or Consumer electronics environments, having followed different stages of product lifecycles.
- Formal project management qualification (PMP, PRINCE2, or equivalent).
- Proven track record of successfully delivering complex, multi-disciplinary hardware and/or software product development programmes.
- Strong experience in managing cross-functional teams spanning engineering, operations, manufacturing, finance, and supply chain.
- Excellent communication, stakeholder management, and problem-solving skills.
- Ability to work in a fast-paced and evolving environment, driving clarity and direction across multiple teams.
- Experience owning or managing programme budgets for complex hardware/technology programmes, including cost tracking, forecasting, and reporting.
- Experience partnering with technical/engineering leads (e.g. Technical Programme Managers) on complex hardware programmes – ideally including legged or bipedal robotics, or closely related fields such as locomotion research or actuator-driven mechatronic systems – with enough technical fluency (actuators, controls, sensors, robotics safety standards) to translate technical risk into programme impact and make informed scope and trade-off decisions, without requiring hands-on engineering ownership.
Nice to have:
- Direct experience working on or managing a bipedal or legged humanoid robot programme, from prototype through to production and deployment.
- Experience with mass-production ramp-up of complex robotic or mechatronic hardware, including supplier qualification and manufacturing scale-up.
- Familiarity with simulation-to-real transfer, digital twin practices, or reinforcement-learning-based control as used in modern humanoid development.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: Remote (US)
About Ondo
Capital markets are moving onchain. Ondo Finance is building the products and infrastructure that will bring them there.
We create institutional-grade, blockchain-enabled investment products and services, including tokenized treasuries, tokenized stocks and ETFs, and new trading experiences built for global, always-on markets. We are the category leader by AUM, well-capitalized, and backed by investors including Founders Fund, Coinbase Ventures, Pantera Capital, and Tiger Global.
The underlying financial infrastructure is complex. We believe the product experience should not be.
About the Web team
The Web team builds the product layer that makes Ondo's financial infrastructure accessible. We own the experiences through which users onboard, establish eligibility, move money, mint and redeem Ondo Stocks, manage portfolios, and use products across multiple blockchains.
We are a small team of exceptional engineers with broad ownership and a high bar for craft, judgment, and execution. We turn complexity across compliance systems, backend services, smart contracts, and external partners into products that feel clear and dependable.
Engineering on this team is distinguished by:
Product taste.
We simplify complex financial workflows without hiding the details that matter.
End-to-end ownership.
Engineers shape, build, launch, and improve the product.
Speed with confidence.
We scope sharply, move quickly, and hold a high quality bar.
Security and correctness.
Access control, auditability, privacy, and failure behavior are design constraints from the start.
High agency and low ego.
We act without waiting, invite direct critique, and make the team better.
About the role
As a Full-Stack Engineer focused on Growth, you will design the foundations of how users discover, understand, adopt, and return to Ondo's products. You will own the systems and product experiences that turn user insight into measurable growth across acquisition, activation, engagement, and retention.
Your scope spans the full growth loop—from public websites and user-facing product journeys to experimentation, analytics, content systems, backend workflows, and third-party platforms. You will set technical direction, define the measurement foundations, and evolve these systems as our products, markets, and scale change.
This is a foundational ownership role for a senior engineer. You will turn ambiguous growth opportunities into clear hypotheses, durable architecture, and polished product experiences. You will partner closely with Product, Design, Marketing, Data, and Engineering while owning the judgment: where friction matters, what to build, how to measure it, and when the evidence calls for a different direction.
The goal is not experiment volume. It is to understand users better than anyone else and turn that understanding into durable product improvements and measurable business impact.
What you'll do
Own the growth engineering strategy across discovery, acquisition, activation, engagement, and retention—from identifying the highest-leverage opportunities through technical design, launch, measurement, and iteration.
Design and evolve the foundations for experimentation, event instrumentation, attribution, funnel analysis, content, and lifecycle experiences so the team can move quickly and trust what it learns.
Build polished user-facing experiences and the backend systems, data models, APIs, webhooks, and third-party integrations behind them.
Work directly with users and product data to identify friction, form clear hypotheses, and make disciplined product and technical bets.
Turn validated learning into durable product capabilities and measurable business impact—not one-off experiments.
Partner with Product, Design, Marketing, and Data to lead launches, localization, and new ways to grow adoption across Ondo's products.
Improve organic discovery and conversion through technical SEO and AEO, performance, structured content, and clear user journeys.
Raise the level of the team through clear writing, thoughtful code review, strong operational ownership, and effective use of modern AI engineering tools.
What you bring
4+ years of experience building and operating production full-stack applications with React, Next.js, and TypeScript.
Experience driving measurable acquisition, activation, engagement, or retention outcomes through growth engineering, product-led growth, consumer product, ecommerce, or similarly data-informed product work.
Experience building and operating serverless systems on AWS, including Lambda and adjacent services such as API Gateway, EventBridge, or SQS.
Strong experience using BigQuery and product analytics data to model funnels, investigate user behavior, and measure product and business impact.
Strong fundamentals in API and data-model design, relational databases, event-driven systems, event instrumentation, experimentation, testing, and observability.
A record of owning product work end to end—not only implementing experiments or specifications handed to you.
Product taste: you can find the simplest experience that solves the user's problem without ignoring the complexity or edge cases underneath it.
Data fluency and intellectual honesty. You can define useful metrics, distinguish signal from noise, and change direction when the evidence challenges your hypothesis.
The ability to communicate clearly, learn unfamiliar domains quickly, and create alignment across engineering, product, design, marketing, and data partners.
High agency and low ego. You move important work forward, invite strong critique, and care more about the outcome than whose idea wins.
Preferred qualifications
Experience building fintech, trading, crypto-native, or other high-consideration products where earning user trust is essential.
Experience with lifecycle marketing, CRM, CMS, experimentation, localization, or analytics platforms.
Familiarity with AEO, structured content, international SEO, and growth across multiple regions or languages.
Experience applying AI to prototyping, personalization, analytics, content operations, or other growth workflows.
We do not expect every strong candidate to arrive with deep crypto or every growth specialty listed above. We do expect curiosity, strong product and engineering fundamentals, and the ability to turn learning into shipped improvements quickly.
What we offer
Challenging, high-impact work helping define how a global audience discovers and adopts a new category of financial products.
Competitive compensation including salary, future token rights, and/or equity, according to your preferences.
Full medical, vision, and dental benefits, plus a flexible vacation policy.
A remote-first environment with meaningful autonomy and influence over product and technical direction.
Exceptional colleagues from Goldman Sachs, BlackRock, Two Sigma, Bridgewater, SpaceX, AWS, Meta, Google, McKinsey, Coinbase, Circle, and Uniswap.
Backing from leading crypto experts and investors, including Pantera Capital, Founders Fund, and Coinbase Ventures.
Location: Bengaluru, Karnataka, India, APAC
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
dbt Fusion is building the next generation of data execution and connectivity infrastructure, enabling dbt workloads to run efficiently across diverse compute engines and data platforms. As a Senior Engineer on the Fusion Adapters and Connectivity team, you’ll design and ship core abstractions powering how dbt communicates with execution systems — leveraging Rust, Go, Arrow, and emerging open standards. This is a rare opportunity to work at the intersection of systems programming, database internals, and high-visibility open-source development. Your work will shape a foundational platform leveraged across the dbt ecosystem and the broader data community.
What You’ll Do
Design, build, and maintain Rust-first connectivity layers, execution APIs, and adapter scaffolding.
Partner with teams building the dbt compiler, semantic layer, and runtime to evolve adapter interfaces and system boundaries.
Contribute to Arrow/ADBC and other open-source specifications or implementations, strengthening the data ecosystem.
Own CI, testing frameworks, profiling, error reporting surfaces, and release readiness for Fusion adapters.
Debug complex interoperability and performance issues across drivers, engines, and compute domains.
Collaborate with internal and community maintainers to review PRs, write RFCs, and evolve public code architectures.
Mentor engineers on systems best practices and contribute to shared patterns around resilience, debuggability, and API clarity.
Skills We’re Looking For
Strong programming background in Rust, Go, C++ or similar performance-oriented languages.
Experience designing or maintaining SDKs, libraries, connectors, or compute/data integration codebases.
Exposure to data warehouses, query engines, Arrow/columnar ecosystems, or execution runtimes.
A desire to build foundational platform components that other teams and community members rely on.
Comfort working in public code review loops, async-first communication, and collaborative RFC processes.
A mindset grounded in debuggability, reliability, and ownership in ambiguous problem spaces.
You’ll have an edge if you have:
Contributed to or interacted with Arrow, ADBC, DuckDB, Presto, DataFusion, Spark, ClickHouse, or similar engines.
Experience shaping adapter/plugin standards, driver contracts, or architectural interfaces used by others.
Familiarity with Rust async ecosystems (tokio, tower, tracing) or Go concurrency practices.
Prior OSS governance experience — triaging issues, reviewing PRs, or working with community maintainers.
An interest in building developer-experience layers or scaffolding frameworks for adapter authors.
Qualifications:
6+ years experience in software engineering, with strong systems-level skills.
2+ years working in open-source, SDK, runtime, or low-level integration environments.
Bachelor’s degree in Computer Science / related field or equivalent experience through industry OSS contributions.
#LI-REMOTE
#LI-SA1
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Athens; Limassol; Nicosia
Workplace: hybrid
The Role:
We’re looking for an experienced Data Analyst to join our Data Science team and turn complex data into meaningful insights that drive smarter decisions. In this role, you’ll work with large and diverse datasets, uncover patterns and opportunities, and use advanced analytics to help solve real business challenges.
If you’re naturally curious, enjoy tackling complex problems, and are passionate about transforming data into actionable insights, this is an opportunity to make a real impact in a fast-paced, data-driven environment.
The main responsibilities of the position include:
Apply statistical analysis and data mining techniques to extract meaningful insights from large datasets
Perform exploratory data analysis (EDA) to
identify
trends, patterns, and anomalies
Develop reports, dashboards, and visualizations to communicate insights and
monitor
key business metrics.
Support the evaluation and assessment of machine learning models through data analysis and performance reporting.
Contribute to the development of the department’s data science strategy and
identify
opportunities where data science can deliver business
value
Ensure
high standards
in data preparation, feature engineering, model evaluation, documentation, and code quality
Collaborate with cross-functional teams including data engineers, data scientists, software engineers, product owners, and business stakeholders
Present insights, analysis results, and recommendations to both technical and non-technical audiences
Ensure adherence to best practices in data quality, version control, and reproducible analytics
Main requirements:
University degree in Mathematics, Physics, Computer Science, Engineering, Data Science, or a related quantitative field
At least 3 years of experience in data science including hands on experience with Data Analysis
Strong programming skills in
Python
, with hands-on experience using
Pandas, NumPy
, and other data analysis libraries.
Experience with visualization libraries in Python, such as Matplotlib, Seaborn, or
Plotly
Hands-on experience with
data visualisation and BI tools
, such as Power
BI.
Solid
understanding of statistics and data mining techniques
Experience working with relational and non-relational databases
Basic knowledge of
Machine Learning concepts and techniques
, with an interest in applying them to real-world data problems.
Strong
analytical and problem-solving skills
, with excellent attention to
detail.
Excellent
communication skills and the ability to work collaboratively in a team environment
Benefit from:
Attractive
remuneration
package plus performance related reward
Private health insurance
Corporate pension fund
Intellectually stimulating work environment
Continuous personal development and international training opportunities
The Hiring Experience: What Awaits You
Let’s
Connect – Intro Chat with Talent Acquisition
Deep Dive – First Interview with Your Future Team
Bring It to Life – Role-Specific Take-Home Task
Final Connection – Final Interview
All applications will be treated with strict confidentiality!
By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.
Location: Europe; Canada; New York
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:
At Cohere, we're pushing the boundaries of what these technologies can achieve for production environments, and we're seeking a senior engineer who understands the practical challenges of making AI systems work at scale. This role demands deep technical expertise in production environments and the ability to bridge research concepts with real-world implementations.
This position is hands-on and engineering-driven. You'll focus on production systems, experiment with frontier models, and collaborate with talented engineers to build scalable, production ready solutions. We strive for excellence in both engineering and science by meticulously designing experiments and design docs. We blend engineering and research seamlessly. Everyone contributes to both, depending on organizational needs. We provide access to world class compute resources, data, and talent to ensure you can do your best work. This role is perfect for you if you:
- Have a deep passion for quality work.
- Enjoy tuning and optimising large LLM models.
- Comfortable working with people with different levels of software engineering skills, from beginner to more advanced.
- Comfortable diving into complex ML codebases to identify and resolve issues, ensuring the smooth operation of our systems.
- Thrive in a fast-paced, technically challenging environment, where you can contribute your innovative ideas and solutions.
Key responsibilities:
- Design and write high-performing and scalable software for training models.
- Develop new tools to support and accelerate research and LLM training.
- Coordinate with other engineering teams (Infrastructure, Efficiency, Serving) and the scientific teams (Agent, Multimodal, Multilingual, etc.).
- Research, implement, and experiment with ideas on our cluster and data infrastructure.
- Collaborate, Collaborate, and Collaborate with other scientists, engineers, and teams!
Qualifications:
- Extremely strong software engineering skills.
- Value test-driven development methods, clean code, and strive to reduce technical debts at all levels.
- Proficiency in Python and related ML frameworks such as JAX, Pytorch and/or XLA/MLIR.
- Experience using and debugging large-scale distributed training strategies (memory/speed profiling).
- Experience with distributed training infrastructures (Kubernetes) and associated frameworks (Ray).
- Experience in ML and LLM academic research.
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.
Location: Ramat Gan, Israel
About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
At Wolt, we’re building the future of retail — and our Enterprise Supermarkets team plays a critical role in shaping how the largest retail chains operate and grow on our platform.
We are looking for a Retail Development Specialist to join a senior team managing Wolt’s most strategic supermarket partnerships in Israel. This is not a traditional sales role — it is a highly operational, analytical, and partner-facing position focused on driving performance, improving processes, and leading strategic retail partnerships end-to-end.
In this role, you will manage a portfolio of 3–4 enterprise supermarket partners, acting as the main business owner for each account. You will work closely with store teams, operational stakeholders, and senior HQ management to improve performance, solve operational challenges, and drive sustainable growth across the partnership.
What you’ll be doing
In this role, you will manage a portfolio of 3–4 enterprise supermarket partners, acting as the main business owner for each account. You will work closely with store teams, operational stakeholders, and senior HQ management to improve performance, solve operational challenges, and drive sustainable growth across the partnership.
Day-to-day in this role you’ll:
Own the end-to-end management and development of strategic enterprise supermarket accounts on Wolt.
Analyze business and operational performance to identify growth opportunities, bottlenecks, and operational inefficiencies.
Lead proactive operational improvement initiatives with field stakeholders such as pickers, store managers, and operations teams, focusing on topics like picking times, rejection reasons, availability, and fulfillment quality.
Conduct trainings and onboard partners on Wolt’s operational tools, workflows, and advanced platform capabilities.
Build and maintain strong relationships with senior stakeholders at partner headquarters, including leading quarterly business reviews and strategic discussions.
Drive commercial and marketing initiatives together with partners, including campaigns, assortment optimization, storefront visibility, and growth opportunities.
Handle complex escalations and coordinate cross-functional problem solving, including cases involving technical or operational issues.
Conduct regular visits to supermarket branches across Israel to support operational excellence and partner success.
Monitor KPIs and performance metrics using BI and analytics tools, translating data into actionable business insights.
Our humble expectations
We are looking for a highly organized, proactive professional with strong analytical capabilities and experience in managing senior stakeholders for our most strategic supermarket partners.
4+ years of experience in Enterprise/B2B Account Management, Retail Operations, Customer Success, Consulting, or similar partner-facing operational roles.
Proven experience managing complex enterprise accounts and working with senior stakeholders.
Strong analytical capabilities and hands-on experience working with BI tools such as Looker, Tableau, Power BI, or similar.
Advanced Excel skills — ability to analyze data, identify trends, and drive decisions independently.
Experience leading operational improvement initiatives and managing multiple stakeholders simultaneously.
Strong communication and presentation skills, with the ability to influence both field teams and senior management.
Highly organized, proactive, and comfortable working in a fast-paced environment.
Bachelor’s degree in Business Administration, Economics, Industrial Engineering, or a related field — mandatory.
Fluent in Hebrew and English.
What we offer
A unique opportunity to join one of Europe’s fastest-growing tech companies and shape the future of retail.
Exposure to strategic enterprise partnerships and large-scale retail operations.
A highly impactful role with ownership, autonomy, and visibility across the organization.
Hands-on learning, supportive teammates, and strong growth opportunities.
Great benefits and a collaborative work environment.
Next steps
If this sounds like your next career step, we’d love to hear from you! We review applications on a rolling basis. The process typically includes:
Talent Acquisition interview
Hiring Manager interview
Practical assignment and presentation
Reference checks
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at
Recruitment Scam Awareness - DoorDash
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Задачи:
— разрабатывать backend-сервисы платформы на Python и развивать существующие компоненты
— проектировать и реализовывать API и интеграции с внешними системами и инфраструктурными компонентами
— разрабатывать интерфейсы и коннекторы для подключения к платформе LLM, инструментов (tools), баз знаний, внешней памяти и RAG-компонентов
— строить и поддерживать пайплайны оценки качества агентов (evals, LLM-as-a-judge)
— использовать AI-инструменты для ускорения разработки и валидировать их решения — через ревью, тесты и проверку на соответствие требованиям
— участвовать в проектировании архитектуры сервисов, ревью кода и разборе инцидентов
Требования:
— опыт промышленной разработки на Python от 3 лет
— практический опыт разработки кода с ИИ-агентами: Codex, Gemini, Claude Code, Qwen Code или аналоги
— сильные навыки system design: умение спроектировать сервис целиком, выбрать паттерны взаимодействия компонентов и обосновать архитектурные trade-off-ы
— умение декомпозировать крупную задачу на части, годные для постановки агенту
— умение критически оценивать и валидировать решения, сгенерированные AI-агентами: находить ошибки, проверять корректность и границы применимости
— опыт разработки веб-сервисов и API на FastAPI, Flask или аналогах
— уверенное знание SQL и навыки проектирования реляционных схем данных
— опыт работы с Docker, Kubernetes или OpenShift
Условия:
— комфортный, современный офис м. Кутузовская
— возможность выбрать удобный график – офис/гибрид
— ежегодный пересмотр зарплаты, годовая премия
— корпоративный спортзал и зоны отдыха
— более 400 образовательных программ СберУниверситета для профессионального и карьерного развития
— программа адаптации и помощь руководителя на старте (для Junior позиций)
— расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа
— льготная ипотека для каждого сотрудника
— бесплатная подписка Прайм с возможностью совместного использования на трёх близких
— вознаграждение за рекомендацию друзей в команду Сбера
— отсутствие строгого дресс-кода
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We are seeking a Senior Systems Engineer – Software & Autonomy to support the definition, architecture, integration, and verification of the software systems that enable our humanoid robotic platform.
The role will work across perception, localisation, navigation, artificial intelligence, motion planning, controls, ROS 2 platform software, simulation, deployment, and diagnostics. You will collaborate with software leads and subject matter experts to translate product and operational needs into coherent capabilities, requirements, architectures, interfaces, integration plans, and verification criteria.
This is a systems engineering position focused on the robot’s software and autonomy stack. It is not primarily a firmware development or electrical engineering role.
WHAT YOU'LL DO
- Obtain input from system leaders, product teams, and technical subject matter experts to translate stakeholder needs into clear and verifiable system and software requirements.
- Define the software capabilities required to support humanoid robot behaviours, operational use cases, and product objectives.
- Decompose system-level capabilities across perception, navigation, AI, planning, controls, core platform, and supporting software services.
- Develop and maintain the functional and logical architecture of the robot’s software and autonomy stack.
- Define system boundaries, responsibilities, dependencies, and interfaces between software components and technical teams.
- Establish interface requirements covering data ownership, message definitions, coordinate frames, units, timing, latency, synchronization, quality indicators, fault handling, and degraded operation.
- Support architectural decisions involving, middleware, compute allocation, networking, simulation, software deployment, and distributed execution.
- Coordinate integration across perception, navigation, AI, controls, platform software, firmware, electronics, sensors, actuators, and mechanical systems.
- Identify cross-team assumptions, dependencies, architectural conflicts, and missing functionality before they become late-stage integration issues.
- Define integration stages, entry and exit criteria, required test environments, and readiness expectations.
- Lead or support the investigation of complex system-level issues involving multiple software components or interactions between software and hardware.
- Define nominal, degraded, recovery, fallback, and safe-state behaviours for software-intensive functions.
- Develop system-level verification and validation strategies for autonomous robotic capabilities.
- Establish measurable performance and acceptance criteria for perception, localization, navigation, planning, controls, AI, and integrated robot behaviours.
- Support scenario-based testing using simulation, software-in-the-loop, hardware-in-the-loop, laboratory testing, and physical robot testing.
- Maintain traceability between use cases, requirements, architecture, implementation, tests, and verification evidence.
- Work with safety engineers to ensure software behaviours support system safety requirements and hazard mitigations.
- Facilitate requirement, architecture, interface, integration, and system-readiness reviews.
- Communicate technical risks, capability limitations, integration status, and architectural trade-offs to engineering and program leadership.
- Coach engineering teams in practical systems engineering methods appropriate for an iterative robotics development environment.
WHAT WE'RE LOOKING FOR
- Bachelor’s or Master’s degree in Systems Engineering, Software Engineering, Computer Science, Robotics, Mechatronics, Controls Engineering, or a related field.
- Five or more years of experience in systems engineering, robotics software, software architecture, autonomous systems, or a related technical domain.
- Experience working with complex software-intensive or cyber-physical systems composed of multiple interacting subsystems.
- Strong knowledge of requirements engineering, architecture definition, interface management, integration, verification, validation, and traceability.
- Technical experience in several of the following areas:
- ROS or ROS 2
- Robotics software
- Perception and sensor fusion
- Localization, mapping, and navigation
- Motion or behaviour planning
- Manipulation, locomotion, or whole-body controls
- Artificial intelligence or machine learning
- Simulation and virtual testing
- Distributed or real-time software systems
- Ability to understand and evaluate software behaviour without being the primary implementation owner for every component.
- Experience defining measurable acceptance criteria for complex system behaviours.
- Ability to investigate issues spanning algorithms, software, computing, networking, firmware, sensors, actuators, and physical robot behaviour.
- Strong analytical, problem-solving, leadership, and technical communication skills.
Experience with humanoid robots, mobile robots, autonomous vehicles, industrial robotics, or similar systems.
- Familiarity with ROS 2 topics, services, actions, quality-of-service policies, lifecycle management, TF, rosbag, and distributed execution.
- Familiarity with C++, Python, Linux, Git, CI/CD, containers, and modern software development workflows.
- Experience with simulation tools such as Isaac Sim, Gazebo, MuJoCo, MATLAB/Simulink, or equivalent platforms.
- Experience with SysML, model-based systems engineering, or software architecture modelling.
- Familiarity with functional safety, SOTIF, machinery safety, cybersecurity, or safety assurance for autonomous systems.
- Understanding of machine-learning performance, uncertainty, dataset coverage, and scenario-based validation.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: London; Geneva; Amsterdam; Madrid; Berlin; Paris; Dublin; Luxembourg; Brussels; Zurich
Workplace: Remote
ABOUT KEYROCK
Since 2017, Keyrock has been a change-maker in digital assets. We're a global, remote-first team of 200+ people across 40+ nationalities, with hubs in Brussels, London, Paris and New York.
We provide liquidity across 80+ centralized and decentralized exchanges - a position cemented by our Series C, led by SC Ventures. Today we run a full spectrum of capital markets businesses across centralized and on-chain venues: market making, high-frequency trading, options, OTC, DeFi trading desks, advisory, and asset management.
We're building toward the agentic investment banking capabilities for the era of digital finance. A proprietary agentic layer runs the mechanics of the market, so our people can focus on the work code cannot do: the deal, the relationship, and the judgement.
We're not just envisioning the future of finance - we're building it.
THE OPPORTUNITY
We are hiring a Head of Marketing to take full ownership of our marketing strategy, rebrand Keyrock and reposition us as the market evolves from crypto-native to institutional, merging with traditional finance.
This is not a maintenance role. It is a transformation mandate with full discretionary decision-making on how to implement our commercial strategy. You will work as a close strategic partner to the CCO, operating almost as co-marketeers.
The team is lean by design: 2-3 direct reports plus heavy use of AI and agentic tooling. We are looking for someone who inspires and sets direction, not someone who runs campaigns. Operational execution will increasingly be handled by AI agents.
WHAT YOU WILL DO
- Own and execute the complete rebrand and repositioning of Keyrock in the market
- Define and drive the marketing strategy across institutional and crypto-native audiences
- Build a premium, forward-looking brand identity. Think distinctive, audacious, credible to both institutional allocators and crypto-native operators
- Push information into the market in ways that make people pay attention and take Keyrock seriously
- Partner closely with the CCO and commercial team to drive measurable commercial impact
- Build and lead a small, high-impact team augmented by AI tooling
- Shape how Keyrock is perceived as the industry converges with traditional finance
WHO YOU ARE
- Crypto-native. You have been through market cycles. You understand blockchain technology deeply but you are pragmatic, not ideological. You know this is not a binary world.
- A brand-builder, not an ops person. You are inspiring, not operational. You set direction, tone and creative vision.
- An exceptional communicator. You can face institutional allocators who care about regulation and licensing, and crypto-native counterparties who value speed and edge. You switch between both with ease.
- Confident and assertive. You project authority. You bring conviction and directness - you challenge constructively and don't default to consensus. You bring edge, energy and a slightly audacious style.
- Human-centric. You connect with people, build followership and bring teams along.
- Detail-oriented. Despite the strategic focus, you sweat the details on brand consistency, messaging precision and design quality.
- A challenger mindset. You dare to think differently, question the status quo and push things forward through constructive tension.
OUR RECRUITMENT PHILOSOPHY
We look for self-aware candidates who bring both the core skills required for the role and a deep alignment with our performance principles. We seek fiercely passionate, mission-driven people who communicate with purpose and practice proactive ownership. The perfect fit? A crypto enthusiast who prioritizes mission over ego, maintains a commercial mindset, and delivers long-term value through pragmatic flexibility.
EXPERIENCE AND BACKGROUND
REQUIRED
- Significant experience in marketing leadership at a crypto or digital-asset firm
- Deep understanding of the crypto market, its participants and its culture
- Track record of building or transforming a brand in a fast-moving, commercially-driven environment
- Strong communication skills Exceptional fluency in English, both written and spoken.
- Based in or closely aligned with the CET time zone.
PREFERRED
- Experience positioning a firm through a TradFi/crypto convergence narrative
- Exposure to publicly listed or IPO-track companies
- Familiarity with EU regulatory environment (MiCA) and how it shapes marketing and financial promotions
- Experience working with or building AI-augmented marketing functions
WHY KEYROCK
- Step-up opportunity. Own the function globally, report directly to the CCO, shape the brand from scratch.
- Transformation moment. Keyrock is pivoting from appreciated-but-underrated to a firm that commands respect. This is a before-and-after career story.
- Commercial partnership. Not a siloed marketing role. Deeply embedded in commercial strategy with commission upside.
- Lean and AI-augmented. Small team, big impact. No bureaucratic bloat. Use agents and tools to move fast.
- Global footprint. Offices across EU, UK, US and Switzerland. International exposure from day one.
- Competitive offer. A competitive compensation package, attractive global benefits, and a performance-based variable.
- Annual Team Retreats. A yearly offsite dedicated to strategy, celebration of our wins and fun team activities
Berlin (Germany); We encourage applicants from all backgrounds to apply
New York City, New York
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