Responsibilities:
— Drive ecosystem partnership development for CoinMarketCap’s Oracle project by identifying and engaging DeFi protocols, blockchain projects, and enterprise clients.
— Manage the full business development cycle from initial outreach and qualification to deal negotiation and agreement finalization.
— Analyze industry trends and develop market expansion strategies for the Oracle product across multiple chains and verticals.
— Collaborate with the technical team to create compelling solution proposals and product demonstrations.
— Build and promote benchmark integration cases and contribute to brand communications related to the Oracle product.
— Track project delivery outcomes, maintain strong client relationships, and foster long-term collaboration and value growth.
— Provide market intelligence and client feedback to influence Oracle product development and roadmap.
— Represent CoinMarketCap’s Oracle at industry events, conferences, and community calls.
Requirements:
— Minimum 3 years of B2B business development experience in enterprise services or blockchain/Web3.
— Strong understanding of DeFi, on-chain oracles, smart contracts, and blockchain infrastructure.
— Excellent communication, resource integration, and market insight skills.
— Proven track record of closing enterprise-level deals.
— Native-level fluency in English; additional languages are a plus.
— Adaptability to fast-paced environments and willingness to travel short-term as needed.
— Bachelor’s degree in business, computer science, or related field.
Nice to Have:
— Prior experience or existing relationships with oracle-related projects such as Chainlink or Pyth.
— Technical knowledge of on-chain data delivery, smart contract integrations, and multi-chain ecosystems.
— Experience with DeFi lending, DEX, or derivatives protocols.
— Familiarity with enterprise blockchain adoption and use cases.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Pacing
is Anthropic's work to make sure that, as AI capabilities advance, enough time and effort goes into making them safe. It covers the safety commitments we make and carry out ourselves, the public policy we develop and support, and the research and communication that help people understand how quickly AI is progressing and what that could mean.
We're hiring a Technical Program Manager to run Pacing. It spans many projects led by people across Safety, Research, Policy, Legal, Communications, and Engineering, most of whom have other responsibilities too. You'll make sure each project has an owner, a clear outcome, and a date, and that leaders have high visibility and can make tradeoff decisions. You'll work closely with the team responsible for our Responsible Scaling Policy and support every project lead in delivering on their commitments.
The questions and strategies relevant to this program will change rapidly as the frontier evolves. You'll need enough technical depth to drive discussions about model training, evaluations, and compute, and the judgment to identify which decisions belong with cross-functional partners and which you can make yourself. We're looking for a generalist who can ship quickly and iteratively and drive accountability towards high-level, ambiguous objectives.
Key responsibilities
Own the Pacing program end to end, keeping one accurate view of projects, owners, milestones, dependencies, and gaps that drives action from leadership and project leads
Turn strategy from executive sponsors into scoped projects with measurable outcomes and timelines for execution, and drive concrete proposals to decisions
Run the operating rhythm, including working sessions with project leads, regular written updates, and effective executive reviews, and follow decisions and action items through to completion
Work with the Responsible Scaling Policy team and researchers to define the evidence and sign-off a model needs at key points in training and deployment, and make those reviews a dependable part of how we work
Track the public and internal commitments Anthropic makes on pacing, and sequence the work, publications, and events behind them with Policy and Communications
Partner with Legal throughout the lifespan of each project, and operate with high integrity on confidential and sensitive work
Define how progress is measured, report against it candidly, and recommend which projects and practices to continue, change, or stop
Use Claude to build automations to allow teams to have broader and deeper impact
Minimum qualifications
Experience leading multiple complex technical programs that span organizations and involve engineering or research teams, from ambiguous goals through delivery
Strong program management skills, including program planning, milestone and dependency tracking, and risk management across many concurrent projects
Technical fluency sufficient to identify risks and challenge tradeoffs in how frontier AI models are trained, evaluated, and deployed
Working knowledge of AI safety and the main debates about how frontier AI should be developed and governed
A track record of delivering through senior leaders and teams who don't report to you, including when it meant changing how they work
Experience preparing decisions for executives, including framing options, making a recommendation, and recording the outcome
Sound judgment and discretion with confidential and sensitive information
Preferred qualifications
Experience at a frontier AI developer, a government AI institute, an independent evaluator, or an AI safety or governance research organization
Hands-on experience with frontier AI safety work, such as safety frameworks, safety cases, risk reports, model evaluations, or reviews of model training or deployment
Familiarity with how AI progress is measured, including compute, capability trends, and the use of AI to speed up AI research
Experience delivering programs that combine technical work with public policy, or that bring together experts from different organizations
Experience managing published commitments or high-visibility public releases
Experience building a program from zero and reshaping it as the strategy evolved
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$290,000
—
$365,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic gives
independent external evaluators
access to our models, our people, and our safety practices so that they can assess risks, processes, and policies. We're hiring a Technical Program Manager to establish and deepen our partnerships with these external reviewers and embedded evaluators to support a thriving frontier evaluation ecosystem.
You'll be the main point of contact for our existing partners, deepening our support so that they can work effectively and produce high-quality, rigorous, independent publications. You'll separately broaden the portfolio of organizations we are working with, managing the funnel from first conversation through contracting, onboarding, and day-to-day access, culminating in published reports. You'll evolve our current time-intensive manual processes into a system that can support many evaluators at once, working with teams across Safety, Research, Security, Legal, People Services, IT, Policy, and Communications. Within six months, you should be able to take a new evaluator from contract negotiation to first published report with minimal involvement from senior leaders.
You'll need the technical depth to work out with researchers and engineers what access, tooling, and evidence an evaluation requires, and the judgment to resolve most questions quickly and escalate the few that need it, while balancing evaluators' need for access with Anthropic's requirements to protect its customers, its security, and its confidential information. We're looking for a generalist who can ship quickly and iteratively, and who earns trust on both sides.
Key responsibilities
Own the external evaluator program end to end, including our relationships with evaluator organizations and the pipeline of future partners
Take each evaluator from first conversation through scoping, contracting, onboarding, access, and review to a published report
Define the stages and tiers of working with evaluators, and develop information access policies that meet evaluators' needs while protecting security and confidential information
Drive evaluators' access and information requests to fast, well-documented decisions in partnership with Research, Security, Legal, and IT
Drive the technical design of evaluator access with Security, IT, and infrastructure teams, including permissions, environments, and monitoring, and close gaps between policy and technical controls without slowing evaluators down
Run the review process for evaluator reports against agreed timelines and redaction criteria, while protecting evaluators' ability to publish their own conclusions
Scope evaluations with researchers and engineers, turning evaluators' questions about training, monitoring, and alignment into concrete requirements for model access, data, tooling, and compute, and planning capacity for each new evaluator
Turn evaluators' technical findings into research and engineering work with owners and dates, and drive accountability for how Anthropic responds
Keep the company informed with regular updates on how the program is going, and clear guidance on how to work with evaluators
Collect feedback from evaluators and internal teams, run retrospectives, and iterate on policies and practices
Use Claude and work with engineering teams to build the tooling the program runs on, such as access provisioning, request tracking, and report review
Support a thriving ecosystem of evaluators by sharing what we learn about running independent evaluation well
Minimum qualifications
Experience leading complex technical programs with engineering or research teams, from ambiguous goals through delivery
Experience managing relationships with external organizations, including scoping work, navigating contracting, setting expectations, and resolving disagreements
Strong program management skills, including program planning, milestone and dependency tracking, and risk management across many concurrent workstreams
Technical fluency in how frontier AI models are trained, evaluated, and monitored, sufficient to define technical requirements, identify technical risks, and challenge tradeoffs with researchers and engineers
Sound judgment and discretion with confidential and sensitive information
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$290,000
—
$365,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Paris
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
ABOUT THE ROLE
Between a conversation and a model sit the formats and tokenizers that every part of our stack relies on. You will help own them, and the tooling around them, so that training, evaluation and production all speak exactly the same language.
You will work across the entire stack, spanning pretraining, post-training and deployment, and your decisions will reach every model we ship.
WHAT YOU WILL DO
- Design, build and maintain core libraries for tokenization and model interfaces.
- Evolve our formats and tokenizers as models and use cases change.
- Turn research needs into robust, shared tooling.
WHAT WE'RE LOOKING FOR
- Strong software engineering background, with excellent Python.
- Excellent understanding of tokenizers: BPE and other tokenization algorithms, special tokens, chat templates, and tokenizer training; ideally hands-on experience with libraries such as tiktoken or Hugging Face tokenizers.
- Experience building production-grade libraries used by many people.
- A taste for correctness and attention to detail.
- Good knowledge of how LLMs are trained and served.
- Clear communication, low ego, and a collaborative mindset.
- Nice to have
- Open-source maintenance experience.
- Experience with inference engines.
LOCATION AND REMOTE
This role is primarily based at one of our European offices (Paris and London). We will prioritize candidates who either reside there or are open to relocating. We strongly believe in the value of in-person collaboration to foster strong relationships and seamless communication within our team. In certain specific situations, we will also consider remote candidates based in one of the countries listed in this job posting — currently France & UK. In that case, we ask all new hires to visit our local office for the first week of their onboarding (accommodation and travelling covered), then at least 4 days per month
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Bulgaria
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
We are looking for a Production Order Administrator to strengthen our Operations team. The goal of this role is to take care of production order execution through our manufacturing partner network and resolve unexpected issues that arise during the production process.
How You’ll Contribute:
Supervise the processing of production orders and document them in our internal CRM and ERP systems
Select suitable contractors from our database of production partners
Support the manufacturing process by controlling dates and dispatch, organizing delivery, and overseeing product quality control
Track payments and work with customers
Solve problems and special cases with customers and manufacturers that occur during order processing
Achieve results despite the difficulties encountered
What You’ll Bring to Xometry:
Language Skills: Fluent English and Italian (B2 or higher), including business correspondence. This is the primary requirement
Experience: At least 1 year of relevant experience in procurement, logistics, or order management. Experience with engineering orders and with transactional IT systems for automating sales, production, and logistics processes is an advantage
Problem Solving: Readiness to solve problems that differ from the base scenario
Availability: Willingness to work paid overtime and be available for urgent questions outside of business hours
Growth Mindset: Desire to work in a fast-growing business environment and willingness to systematize your own work and take part in process automation
Work Environment: A comfortable workplace with stable internet access and the ability to join conference calls, as this position is 100% home office
#LI-Remote
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Please read our
privacy policy
here.
Location: Georgia
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
We are looking for a Production Order Administrator to strengthen our Operations team. The goal of this role is to take care of production order execution through our manufacturing partner network and resolve unexpected issues that arise during the production process.
How You’ll Contribute:
Supervise the processing of production orders and document them in our internal CRM and ERP systems
Select suitable contractors from our database of production partners
Support the manufacturing process by controlling dates and dispatch, organizing delivery, and overseeing product quality control
Track payments and work with customers
Solve problems and special cases with customers and manufacturers that occur during order processing
Achieve results despite the difficulties encountered
What You’ll Bring to Xometry:
Language Skills: Fluent English and Italian (B2 or higher), including business correspondence. This is the primary requirement
Experience: At least 1 year of relevant experience in procurement, logistics, or order management. Experience with engineering orders and with transactional IT systems for automating sales, production, and logistics processes is an advantage
Problem Solving: Readiness to solve problems that differ from the base scenario
Availability: Willingness to work paid overtime and be available for urgent questions outside of business hours
Growth Mindset: Desire to work in a fast-growing business environment and willingness to systematize your own work and take part in process automation
Work Environment: A comfortable workplace with stable internet access and the ability to join conference calls, as this position is 100% home office
#LI-Remote
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Please read our
privacy policy
here.
Location: San Francisco; New York
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
As Manager (Player & Coach) of the Solution Architect team, you will lead and mentor a team of Solution Architects who will partner closely with Sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. Applying both hands-on technical ownership and managerial leadership, you will guide your team through the processes of owning discovery calls, demos, technical scoping and driving POCs through to execution as well as designing, deploying, and managing high performance, low latency AI applications on Baseten’s platform.
You will also partner with product, infrastructure, and other customer engineering teams to ensure that large language models (LLMs) and other generative AI systems deliver best-in-class performance, reliability, and cost efficiency in production environments.
EXAMPLE INITIATIVES
Take a look at these blog posts written by members of our Forward Deployed Engineering team:
- Forward Deployed Engineering on the frontier of AI https://www.baseten.co/blog/forward-deployed-engineering/
- The fastest, most accurate Whisper transcription https://www.baseten.co/blog/the-fastest-most-accurate-and-cost-efficient-whisper-transcription/
- Deploy production-ready model servers from Docker images https://www.baseten.co/blog/deploy-production-model-servers-from-docker-images/
- Deploy custom ComfyUI workflows as APIs https://www.baseten.co/blog/deploying-custom-comfyui-workflows-as-apis/
RESPONSIBILITIES
Leadership
- Lead, mentor, and grow a team of Solution Architects, providing guidance on technical direction, project execution, and professional development.
- Set clear goals and ensure timely, high-quality delivery across multiple customer-facing projects involving LLM deployment and inference optimization.
- Collaborate with leadership to align team priorities with company and customer goals, balancing short-term delivery, widely varying customer priorities, and long-term technical initiatives.
- Player-coach – While much of this role will be leading the team, you will also be expected to be a key driver on strategic product initiatives and customer engagements. The best managers derive credibility from being able to be hands-on when needed.
Team Management - Lead a team of Solution Architects who will:
- Partner with sales on customer discovery calls (most often second calls, occasionally first calls for large accounts).
- Lead demos and technical scoping to align on success criteria, architecture, and deployment approach.
- Own benchmarking and repeatable deployments, including handling standard deployment patterns and configurations across many modalities – LLMs, embeddings, image and video generation, VoiceAI, etc.
- Advising on tradeoffs like H100s vs B200s and latency-optimized vs throughput-optimized setups.
- Driving consistent “playbook” style deployments for common models and use cases.
- Become a power user of different runtimes such as vLLM, SGLang, and TRT-LLM and all the common configurations and tradeoffs between them
- Drive POC and project execution, including:
- Scoping POCs and keeping stakeholders aligned on timeline, deliverables, and next steps.
- Acting as the “ringleader” or project manager for POCs.
- Pulling in Forward Deployed Engineering (FDE) support when deeper or more complex technical work is needed.
REQUIREMENTS
- AI/ML background and the ability to credibly discuss AI/ML topics with technical stakeholders.
- 4+ years of professional Solution Architecture/Solutions Engineering experience, including 1+ year in a leadership or mentorship capacity.
- Strong customer-facing communication skills, including the ability to run structured discovery and clarify ambiguous requirements.
- Technical depth to scope solutions, without needing to write production code.
- Ability to script and prototype as needed, including comfort “vibe coding” to move quickly in technical workflows.
NICE TO HAVE
- Experience running or supporting benchmarks for ML inference deployments.
- Familiarity with infrastructure tradeoffs relevant to inference performance and cost (for example GPU selection and latency versus throughput tuning).
- Experience serving as a cross-functional technical lead for customer POCs, including coordination across Sales and Engineering.
- Professional Software engineering experience
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Cyprus; Finland; Ireland; Malta; Montenegro; Sweden
What you'll be solving
A platform engineer opens their AI client of choice, connects it to CAST AI, and types:
"Why did our spend jump 40% in eu-west last week?"
Thirty seconds later they have an answer, pulled from live cluster state and cost data, with links back to the evidence. No dashboards. No YAML archaeology. Just a question and a correct, permission-checked answer.
Your job is to make that interaction boring. Reliably, securely, at production scale.
Behind it sits the hard part: an AI assistant that reasons over thousands of production Kubernetes clusters, a platform that safely exposes company infrastructure to external AI clients, and quality pipelines that tell us when the agent is wrong before a customer does. Get it right, and operators stop clicking through consoles entirely. Get it wrong once, and an agent gives a confidently wrong answer to someone managing production.
CAST AI already runs Kubernetes infrastructure autonomously. Our automation makes thousands of cost-and-reliability decisions a day. Cast Pilot is the team building the intelligence layer on top of that:
AI assistants for Kubernetes and the cloud itself
. Our assistant already answers thousands of questions a month from hundreds of organizations. Now we're opening the platform up: a public, permission-aware MCP server so customers can plug CAST AI straight into their own AI clients and agents, deeper connectivity across all three major clouds (AWS, GCP, Azure), and a continuous push to make our agents smarter, better grounded, and more capable.
This is greenfield AI platform work on top of battle-tested infrastructure. Most features ship in 1 to 4 weeks.
This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine.
Requirements
Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices, not just make something work. You're a
generalist
who is as comfortable debugging a distributed system as designing an auth flow or tuning an agent's behavior.
Production experience
with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
Experience building or operating large-scale SaaS platforms in production: multi-tenant systems, high volumes, and the failure modes that only show up at scale.
Solid understanding of Kubernetes. Our entire platform runs on it, and the assistants we build answer questions
about
it. You should be at home with autoscaling, scheduling, and networking concepts.
You've personally driven a complex project end-to-end.
Hands-on experience with AI coding agents and agentic development workflows. This is how we build, not just what we build.
You've used observability tooling in production.
CI/CD and DevOps practices experience.
Strong English skills, both verbal and written.
Startup mindset: adaptable, proactive, and comfortable with ambiguity.
What will make you stand out
You've built agentic systems that shipped
: MCP servers or clients, agent gateways, tool-use orchestration, RAG pipelines, evaluation frameworks, and you can talk about what broke in production and how you found out. This is the single biggest differentiator for our team.
Deep hands-on experience with one or more of AWS, GCP, or Azure, with real understanding of IAM, compute, networking, and their APIs, not just console-level usage.
Experience with LLM application quality: evaluations, prompt engineering at scale, latency and cost optimization of agent loops.
Knowledge of OAuth 2.0 / OIDC and multi-tenant authorization design.
Deep knowledge of EKS, GKE, or AKS internals.
Kubernetes or cloud-native OSS contributions.
Responsibilities
Design and build the systems behind our AI assistant: agent flows, context retrieval, and the data connections that let it reason about live Kubernetes infrastructure.
Build and evolve our
public, permission-aware MCP server
: curated tools, identity, audit, and strict safety gates, so customers can use CAST AI from their own AI clients.
Develop and maintain cloud connectivity across AWS, GCP, and Azure, and the data foundations our agents build on.
Write production Go services that interact with cloud provider APIs, the Kubernetes control plane, and LLM APIs in real time.
Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1 to 4 weeks).
Debug novel problems: an agent giving a wrong answer, a cross-cloud permission edge case, a data freshness issue that only appears at scale.
Build the quality harness: evals, telemetry, feedback loops, that let us ship agent improvements without regressions.
Contribute to product direction and backlog. Shape what gets built next, not just how it's built.
Participate in the team's on-call rotation.
Tools We Use Daily
Programming Languages:
Go
AI & Agents:
MCP (servers and clients), agent gateways, LLM provider APIs, RAG, evaluation pipelines
Cloud & Orchestration:
Kubernetes, AWS, GCP, Azure
Infrastructure as Code:
Terraform
Databases & Storage:
PostgreSQL, Cloud Object Storage, ClickHouse
Workflows & APIs:
Temporal, GCP Pub/Sub,
gRPC, REST
Observability & Product Analytics:
Prometheus, Grafana, Loki, Tempo, PostHog
CI/CD & GitOps:
GitLab/GitHub CI with ArgoCD and Kargo
What's in it for you?
Competitive salary (€6,500 to €9,000 gross, depending on the level of experience)
Work on genuinely new problems: production MCP platforms and AI assistants for Kubernetes and cloud infrastructure are not solved domains. You'll be defining them, not following a playbook.
Equity options.
Real users, fast: your work ships to hundreds of organizations in weeks, not quarters.
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development, including access to international conferences and courses.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
Hiring process
Screening call with Recruiter
Hiring Manager interview
Technical interview (system design)
Live coding
Culture Check interview with an executive
As part of our standard hiring process, a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit.
#LI-Remote
Location: Dubai, United Arab Emirates
Workplace: hybrid
Senior Product Manager - Internal Operations Experience
Reports to:
Group Product Manager (Core Platform & AI)
Location:
Dubai
Your Role
We are looking for an experienced Senior Product Manager to own the tools our own people use to keep Sokin and its clients safe, compliant and well served. At Sokin, we are building a world-class product team that can help us remove the borders, barriers and burdens from global business.
Product Management at Sokin is all about creating and delivering an ambitious roadmap with your team and working continuously with clients and stakeholders to ensure your product is driving real value for our customers and the business.
This is an opportunity for someone who wants to be part of something challenging and transformative, someone who wants to play a critical role in driving our success.
We place a high value on curiosity. The best Product Managers here are endlessly inquisitive about our customers, our data and how money really moves.
About Us
Sokin is a next-generation B2B financial services provider, enabling businesses to make and receive global payments with greater speed, lower cost, and total transparency.
Our mission is simple: we're simplifying global business - so businesses thrive wherever they choose to grow. We deliver this across:
Global payments and receivables
Foreign Exchange (FX)
Treasury management
Finance reconciliations
We are expanding rapidly with an established presence across EMEA, APAC and North America. Backed by strong global infrastructure and industry-leading partners, we're redefining how businesses move money around the world.
Our clients span industries from sports and entertainment to logistics and travel, and our community is growing fast. We're building a team of exceptional people who share our ambition to transform the future of global payments.
As our
Senior Product Manager, Internal Operations Experience
Once a client is live, a great deal of Sokin's work happens behind the scenes: monitoring transactions, working alerts, answering client questions, resolving exceptions, reporting to regulators and partners, and learning from what clients tell us. The quality of the internal tools behind that work decides how safe, fast and scalable Sokin can be. We treat the people who use those tools as users in their own right.
You'll own the product for that internal experience: compliance and internal reporting, transaction monitoring, the support and operations console, client feedback management, and crypto compliance (screening, Travel Rule and wallet monitoring). Your task is to give analysts, support agents and operators one place to see what they need, decide quickly, and record why, so that they stop acting as the integration layer between systems and can focus on the work that needs judgement.
This is a new team and a senior role with a broad remit. You'll start on your own and, as the scope grows, we expect to add a Product Manager to your team. Your product boundary is clear: everything from the moment a client is live belongs to you, while the onboarding journey and the compliance analyst's onboarding case work belong to the Get Set Up & Build group, and you will work closely with them on the shared analyst view.
Your role as a
Senior Product Manager at Sokin:
Own the product strategy and roadmap for Sokin's internal operations experience, aligned to the Run Sokin objectives
Define the support and operations console as a single place to see the state of a client, a payment or a case, and to act on it
Own compliance and internal reporting, including the evidence regulators, banking partners and auditors ask for, and the ability to produce it quickly
Own transaction monitoring and continuous-monitoring alerts after go-live, including the quality of alerts and the time an analyst needs to decide on one
Own the crypto compliance tooling experience: transaction and wallet screening, Travel Rule information exchange and ongoing wallet monitoring, working with the stablecoin product owner
Build a client feedback management process and tool so that what clients tell us reaches Product with evidence attached
Run structured research with analysts, Support and Operations (shadowing, session harvests and data) to find where their jobs are least well served
Define and track metrics: time from alert to documented decision, systems visited per case, manual work per exception, escalations for information rather than action, and false positives per analyst day
Work from Sokin's Jobs to Be Done catalogue: describe the jobs Sokin's analysts, agents and operators hire your product for, the outcomes that matter, and the evidence behind them, and keep that picture current
Work with Platform Services on identity, permissions, approval rules and audit, and with the Data and Core Platform teams so that internal tools share one source of truth
We'd love to hear from you if:
You have 6+ years in product management, including experience building internal, operations, compliance or back-office tooling, ideally in payments, banking or another regulated industry
You understand compliance operations: transaction monitoring, sanctions and screening, case management, multi-jurisdictional regulatory reporting, and, ideally, crypto compliance and the Travel Rule
You can design for expert users: you enjoy shadowing, finding the workarounds people have invented and replacing them with something better
You're analytical and measure the effect of a tool in analyst minutes, error rates and cases cleared, not just features shipped
You're comfortable working with compliance, risk, legal and operations stakeholders, and can balance their needs with those of clients
You own your roadmap and can identify problems, make decisions and drive things forward without waiting to be managed
You have enough technical depth to work closely with engineers on integrations with third-party monitoring, screening and case platforms
You're curious about how AI can take on routine case work under human oversight
Curious and inquisitive: you ask why before you build, dig into the data and the customer's real situation, follow questions past the first answer, and are never satisfied with 'that's how it has always been done'.
Comfortable using AI in your role: you use AI tools as a matter of course to research, draft, analyse and prototype at speed, and you stay fully accountable for the result. AI is a tool that sharpens your judgement and never replaces it: you check what it gives you, and the thinking stays yours.
Please note, candidates will need to have the right to work in the jurisdiction that they are looking to work in.
Sokin is an equal opportunities employer and committed to maintaining an inclusive work environment. As a growing global startup with bases across multiple countries, we were established on and continue to promote an agile, flexible working culture. Please reach out to discuss any accommodations you may require during the recruitment process.
Location: London, United Kingdom; Belgrade, Serbia
Workplace: hybrid
Senior Product Manager - External Developer Experience
Reports to:
Group Product Manager (Get Set Up & Build)
Location:
London
Your Role
We are looking for an experienced Senior Product Manager to own the experience of every developer who builds on Sokin. At Sokin, we are building a world-class product team that can help us remove the borders, barriers and burdens from global business.
Product Management at Sokin is all about creating and delivering an ambitious roadmap with your team and working continuously with clients and stakeholders to ensure your product is driving real value for our customers and the business.
This is an opportunity for someone who wants to be part of something challenging and transformative, someone who wants to play a critical role in driving our success.
We place a high value on curiosity. The best Product Managers here are endlessly inquisitive about our customers, our data and how money really moves.
About Us
Sokin is a next-generation B2B financial services provider, enabling businesses to make and receive global payments with greater speed, lower cost, and total transparency.
Our mission is simple: we're simplifying global business - so businesses thrive wherever they choose to grow. We deliver this across:
Global payments and receivables
Foreign Exchange (FX)
Treasury management
Finance reconciliations
We are expanding rapidly with an established presence across EMEA, APAC and North America. Backed by strong global infrastructure and industry-leading partners, we're redefining how businesses move money around the world.
Our clients span industries from sports and entertainment to logistics and travel, and our community is growing fast. We're building a team of exceptional people who share our ambition to transform the future of global payments.
As our
Senior Product Manager, External Developer Experience
Increasingly, our clients and partners do not use Sokin through a screen: they build on it. They connect their own platforms and finance systems to our APIs, they embed money movement in their own products, and a growing number are beginning to give AI agents access to their accounts. The quality of that experience decides how fast they get to their first payment and how much they trust us with more.
You'll own the developer experience end to end: our API as a product, the technical documentation, the sandbox, and the white label offer for reseller and embedded partners. You'll set the standards that make Sokin easy to build on, work with Engineering to deliver them, and measure the result in developer terms: time to a first successful payment, the clarity of errors, and how smoothly code moves from sandbox to production.
This is a senior role with a lot of room to define the area. Your first job is to decide what 'excellent' looks like for a developer at Sokin and to build the roadmap that gets us there.
Your role as a Senior Product Manager at Sokin:
Own the strategy and roadmap for Sokin's external developer experience: API ownership, technical documentation, sandbox and, white label and SDKs
Treat the API as a product: own design principles, consistency, and a published versioning and deprecation policy that developers can rely on
Drive a sandbox with production parity, so the same code runs in both without change, and a developer can reach a first successful payment within a day
Rebuild developer documentation around the jobs developers do (get set up, send, collect, track) rather than around endpoints
Make errors clear and actionable every time something fails, working with Engineering on error design and with Support on the cases that generate tickets
Define how MCP and agent access is granted and controlled, as an entitlement an administrator grants with scope and limits recorded
Productise the white label offer: packaging, pricing and the support model for reseller and embedded partners, so that a partner's customers receive the same onboarding service levels as Sokin's direct clients
Work with Client Implementation, Solutions and Support to understand where integrations stall, and with the Onboarding Experience & Expansion and Platform Services teams on shared journeys
Work from Sokin's Jobs to Be Done catalogue: describe the jobs developers, partners and the teams that support them hire your product for, the outcomes that matter, and the evidence behind them, and keep that picture current
Define and track the metrics: time to first payment in the sandbox, integration success rate, API error rates and developer satisfaction
We'd love to hear from you if:
You have 6+ years in product management, including experience owning an API, developer platform or developer-facing product, ideally in payments or B2B fintech
You have a strong understanding of API design, authentication, webhooks, versioning, sandbox environments and how developers evaluate and adopt an API
You can write, or direct the writing of, clear technical documentation, and you care about how it reads to a busy developer
You are comfortable with white label and embedded finance models, and the commercial and regulatory questions they raise
You are curious about AI agents as API consumers and what permissions, limits and audit they require
You own your roadmap and can identify problems, make decisions and drive things forward without waiting to be managed
You have enough technical depth to work closely with engineers and to review a developer's experience for yourself
You are comfortable working with compliance, security and commercial stakeholders
Curious and inquisitive: you ask why before you build, dig into the data and the customer's real situation, follow questions past the first answer, and are never satisfied with 'that's how it has always been done'.
Comfortable using AI in your role: you use AI tools as a matter of course to research, draft, analyse and prototype at speed, and you stay fully accountable for the result. AI is a tool that sharpens your judgement and never replaces it: you check what it gives you, and the thinking stays yours.
Please note, candidates will need to have the right to work in the jurisdiction that they are looking to work in.
Sokin is an equal opportunities employer and committed to maintaining an inclusive work environment. As a growing global startup with bases across multiple countries, we were established on and continue to promote an agile, flexible working culture. Please reach out to discuss any accommodations you may require during the recruitment process.
Location: Belgrade, Serbia
Workplace: hybrid
Senior Product Manager - Receive EMEA
Reports to:
Group Product Manager (Receive)
Location:
Belgrade
Your Role
We are looking for an experienced Senior Product Manager to own Receive across EMEA. At Sokin, we are building a world-class product team that can help us remove the borders, barriers and burdens from global business.
Product Management at Sokin is all about creating and delivering an ambitious roadmap with your team and working continuously with clients and stakeholders to ensure your product is driving real value for our customers and the business.
This is an opportunity for someone who wants to be part of something challenging and transformative, someone who wants to play a critical role in driving our success.
We place a high value on curiosity. The best Product Managers here are endlessly inquisitive about our customers, our data and how money really moves.
About Us
Sokin is a next-generation B2B financial services provider, enabling businesses to make and receive global payments with greater speed, lower cost, and total transparency.
Our mission is simple: we're simplifying global business - so businesses thrive wherever they choose to grow. We deliver this across:
Global payments and receivables
Foreign Exchange (FX)
Treasury management
Finance reconciliations
We are expanding rapidly with an established presence across EMEA, APAC and North America. Backed by strong global infrastructure and industry-leading partners, we're redefining how businesses move money around the world.
Our clients span industries from sports and entertainment to logistics and travel, and our community is growing fast. We're building a team of exceptional people who share our ambition to transform the future of global payments.
As our Senior Product Manager, Receive EMEA
Receive is how our clients get paid: payment links, payment forms that collect by card, open banking and alternative payment methods, and a growing set of tools around the invoice, including invoice generation, invoice scanning, and a hosted and embedded checkout for ecommerce businesses. You'll own this proposition for EMEA, from the roadmap to the numbers.
You will decide which collection methods we offer, in which markets, and in what order, balancing what clients ask for with what drives acceptance, conversion and the speed at which funds reach their account. You'll make the call on where to build, where to partner and where to wait for a market or scheme to mature, and you'll own the commercial result: volume collected, conversion, cost of acceptance and client adoption.
As a senior member of the team, you'll set the standard for how Receive products are discovered and shipped, help the Receive Group Product Manager shape strategy across regions, and mentor Product Managers around you.
Your role as a Senior Product Manager at Sokin:
Own the Receive roadmap for EMEA, aligned to the Move Money vision and to company objectives
Decide which collection methods to launch in each market, including cards, open banking, local direct debit schemes and alternative payment methods, and build the business case for each
Own the metrics for your markets: collected volume, conversion and acceptance rates, cost of acceptance, time to funds available and client adoption
Take new capabilities such as invoice generation and hosted checkout from discovery through to launch, working with Product Marketing and Sales to bring them to clients
Work with Payment Success and Core Platform on reconciliation, attribution of incoming funds and status visibility, so clients can tell what has been paid without chasing
Work directly with a cross-functional team of engineers and designers to deliver value often
Spend time with clients, Sales and Account Management to discover where collection is slow, costly or manual for them
Work from Sokin's Jobs to Be Done catalogue: describe the jobs your customers and internal users hire your product for, the outcomes that matter, and the evidence behind them, and keep that picture current
Work closely with Compliance, Risk and Treasury so that new collection methods are safe, well controlled and properly priced
Mentor Product Managers and contribute to the Receive team's standards for discovery and delivery
We'd love to hear from you if:
You have 6+ years in product management, ideally in payments acceptance, PSPs, acquiring, open banking or B2B fintech
You understand how collection works under the surface: card schemes and acquirers, direct debit schemes, open banking, wallets and local alternative payment methods
You have owned a customer-facing payments product with commercial targets, and can show what moved as a result of your decisions
You're analytical and enjoy the mechanics of funnels, conversion and acceptance data
You own your roadmap and can identify problems, make decisions and drive things forward without waiting to be managed
You're comfortable working with financial, risk and legal stakeholders to design solutions that are user-centric yet compliant
You have enough technical depth to work closely with engineers, including on third-party and partner integrations
You enjoy mentoring others and raising the standard of the team around you
Curious and inquisitive: you ask why before you build, dig into the data and the customer's real situation, follow questions past the first answer, and are never satisfied with 'that's how it has always been done'.
Comfortable using AI in your role: you use AI tools as a matter of course to research, draft, analyse and prototype at speed, and you stay fully accountable for the result. AI is a tool that sharpens your judgement and never replaces it: you check what it gives you, and the thinking stays yours.
Please note, candidates will need to have the right to work in the jurisdiction that they are looking to work in.
Sokin is an equal opportunities employer and committed to maintaining an inclusive work environment. As a growing global startup with bases across multiple countries, we were established on and continue to promote an agile, flexible working culture. Please reach out to discuss any accommodations you may require during the recruitment process.
Location: European Union
What you'll be solving
A platform engineer opens their AI client of choice, connects it to CAST AI, and types:
"Why did our spend jump 40% in eu-west last week?"
Thirty seconds later they have an answer, pulled from live cluster state and cost data, with links back to the evidence. No dashboards. No YAML archaeology. Just a question and a correct, permission-checked answer.
Your job is to make that interaction boring. Reliably, securely, at production scale.
Behind it sits the hard part: an AI assistant that reasons over thousands of production Kubernetes clusters, a platform that safely exposes company infrastructure to external AI clients, and quality pipelines that tell us when the agent is wrong before a customer does. Get it right, and operators stop clicking through consoles entirely. Get it wrong once, and an agent gives a confidently wrong answer to someone managing production.
CAST AI already runs Kubernetes infrastructure autonomously. Our automation makes thousands of cost-and-reliability decisions a day. Cast Pilot is the team building the intelligence layer on top of that:
AI assistants for Kubernetes and the cloud itself
. Our assistant already answers thousands of questions a month from hundreds of organizations. Now we're opening the platform up: a public, permission-aware MCP server so customers can plug CAST AI straight into their own AI clients and agents, deeper connectivity across all three major clouds (AWS, GCP, Azure), and a continuous push to make our agents smarter, better grounded, and more capable.
This is greenfield AI platform work on top of battle-tested infrastructure. Most features ship in 1 to 4 weeks.
This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine.
Requirements
Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices, not just make something work. You're a
generalist
who is as comfortable debugging a distributed system as designing an auth flow or tuning an agent's behavior.
Production experience
with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
Experience building or operating large-scale SaaS platforms in production: multi-tenant systems, high volumes, and the failure modes that only show up at scale.
Solid understanding of Kubernetes. Our entire platform runs on it, and the assistants we build answer questions
about
it. You should be at home with autoscaling, scheduling, and networking concepts.
You've personally driven a complex project end-to-end.
Hands-on experience with AI coding agents and agentic development workflows. This is how we build, not just what we build.
You've used observability tooling in production.
CI/CD and DevOps practices experience.
Strong English skills, both verbal and written.
Startup mindset: adaptable, proactive, and comfortable with ambiguity.
What will make you stand out
You've built agentic systems that shipped
: MCP servers or clients, agent gateways, tool-use orchestration, RAG pipelines, evaluation frameworks, and you can talk about what broke in production and how you found out. This is the single biggest differentiator for our team.
Deep hands-on experience with one or more of AWS, GCP, or Azure, with real understanding of IAM, compute, networking, and their APIs, not just console-level usage.
Experience with LLM application quality: evaluations, prompt engineering at scale, latency and cost optimization of agent loops.
Knowledge of OAuth 2.0 / OIDC and multi-tenant authorization design.
Deep knowledge of EKS, GKE, or AKS internals.
Kubernetes or cloud-native OSS contributions.
Responsibilities
Design and build the systems behind our AI assistant: agent flows, context retrieval, and the data connections that let it reason about live Kubernetes infrastructure.
Build and evolve our
public, permission-aware MCP server
: curated tools, identity, audit, and strict safety gates, so customers can use CAST AI from their own AI clients.
Develop and maintain cloud connectivity across AWS, GCP, and Azure, and the data foundations our agents build on.
Write production Go services that interact with cloud provider APIs, the Kubernetes control plane, and LLM APIs in real time.
Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1 to 4 weeks).
Debug novel problems: an agent giving a wrong answer, a cross-cloud permission edge case, a data freshness issue that only appears at scale.
Build the quality harness: evals, telemetry, feedback loops, that let us ship agent improvements without regressions.
Contribute to product direction and backlog. Shape what gets built next, not just how it's built.
Participate in the team's on-call rotation.
Tools We Use Daily
Programming Languages:
Go
AI & Agents:
MCP (servers and clients), agent gateways, LLM provider APIs, RAG, evaluation pipelines
Cloud & Orchestration:
Kubernetes, AWS, GCP, Azure
Infrastructure as Code:
Terraform
Databases & Storage:
PostgreSQL, Cloud Object Storage, ClickHouse
Workflows & APIs:
Temporal, GCP Pub/Sub,
gRPC, REST
Observability & Product Analytics:
Prometheus, Grafana, Loki, Tempo, PostHog
CI/CD & GitOps:
GitLab/GitHub CI with ArgoCD and Kargo
What's in it for you?
Competitive salary (€6,500 to €9,000 gross, depending on the level of experience)
Work on genuinely new problems: production MCP platforms and AI assistants for Kubernetes and cloud infrastructure are not solved domains. You'll be defining them, not following a playbook.
Equity options.
Real users, fast: your work ships to hundreds of organizations in weeks, not quarters.
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development, including access to international conferences and courses.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
Hiring process
Screening call with Recruiter
Hiring Manager interview
Technical interview (system design)
Live coding
Culture Check interview with an executive
As part of our standard hiring process, a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit.
#LI-Remote
Location: Estonia; Greece; Latvia; Lithuania; Poland; Slovakia; Ukraine
What you'll be solving
A platform engineer opens their AI client of choice, connects it to CAST AI, and types:
"Why did our spend jump 40% in eu-west last week?"
Thirty seconds later they have an answer, pulled from live cluster state and cost data, with links back to the evidence. No dashboards. No YAML archaeology. Just a question and a correct, permission-checked answer.
Your job is to make that interaction boring. Reliably, securely, at production scale.
Behind it sits the hard part: an AI assistant that reasons over thousands of production Kubernetes clusters, a platform that safely exposes company infrastructure to external AI clients, and quality pipelines that tell us when the agent is wrong before a customer does. Get it right, and operators stop clicking through consoles entirely. Get it wrong once, and an agent gives a confidently wrong answer to someone managing production.
CAST AI already runs Kubernetes infrastructure autonomously. Our automation makes thousands of cost-and-reliability decisions a day. Cast Pilot is the team building the intelligence layer on top of that:
AI assistants for Kubernetes and the cloud itself
. Our assistant already answers thousands of questions a month from hundreds of organizations. Now we're opening the platform up: a public, permission-aware MCP server so customers can plug CAST AI straight into their own AI clients and agents, deeper connectivity across all three major clouds (AWS, GCP, Azure), and a continuous push to make our agents smarter, better grounded, and more capable.
This is greenfield AI platform work on top of battle-tested infrastructure. Most features ship in 1 to 4 weeks.
This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine.
Requirements
Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices, not just make something work. You're a
generalist
who is as comfortable debugging a distributed system as designing an auth flow or tuning an agent's behavior.
Production experience
with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
Experience building or operating large-scale SaaS platforms in production: multi-tenant systems, high volumes, and the failure modes that only show up at scale.
Solid understanding of Kubernetes. Our entire platform runs on it, and the assistants we build answer questions
about
it. You should be at home with autoscaling, scheduling, and networking concepts.
You've personally driven a complex project end-to-end.
Hands-on experience with AI coding agents and agentic development workflows. This is how we build, not just what we build.
You've used observability tooling in production.
CI/CD and DevOps practices experience.
Strong English skills, both verbal and written.
Startup mindset: adaptable, proactive, and comfortable with ambiguity.
What will make you stand out
You've built agentic systems that shipped
: MCP servers or clients, agent gateways, tool-use orchestration, RAG pipelines, evaluation frameworks, and you can talk about what broke in production and how you found out. This is the single biggest differentiator for our team.
Deep hands-on experience with one or more of AWS, GCP, or Azure, with real understanding of IAM, compute, networking, and their APIs, not just console-level usage.
Experience with LLM application quality: evaluations, prompt engineering at scale, latency and cost optimization of agent loops.
Knowledge of OAuth 2.0 / OIDC and multi-tenant authorization design.
Deep knowledge of EKS, GKE, or AKS internals.
Kubernetes or cloud-native OSS contributions.
Responsibilities
Design and build the systems behind our AI assistant: agent flows, context retrieval, and the data connections that let it reason about live Kubernetes infrastructure.
Build and evolve our
public, permission-aware MCP server
: curated tools, identity, audit, and strict safety gates, so customers can use CAST AI from their own AI clients.
Develop and maintain cloud connectivity across AWS, GCP, and Azure, and the data foundations our agents build on.
Write production Go services that interact with cloud provider APIs, the Kubernetes control plane, and LLM APIs in real time.
Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1 to 4 weeks).
Debug novel problems: an agent giving a wrong answer, a cross-cloud permission edge case, a data freshness issue that only appears at scale.
Build the quality harness: evals, telemetry, feedback loops, that let us ship agent improvements without regressions.
Contribute to product direction and backlog. Shape what gets built next, not just how it's built.
Participate in the team's on-call rotation.
Tools We Use Daily
Programming Languages:
Go
AI & Agents:
MCP (servers and clients), agent gateways, LLM provider APIs, RAG, evaluation pipelines
Cloud & Orchestration:
Kubernetes, AWS, GCP, Azure
Infrastructure as Code:
Terraform
Databases & Storage:
PostgreSQL, Cloud Object Storage, ClickHouse
Workflows & APIs:
Temporal, GCP Pub/Sub,
gRPC, REST
Observability & Product Analytics:
Prometheus, Grafana, Loki, Tempo, PostHog
CI/CD & GitOps:
GitLab/GitHub CI with ArgoCD and Kargo
What's in it for you?
Competitive salary (€6,500 to €9,000 gross, depending on the level of experience)
Work on genuinely new problems: production MCP platforms and AI assistants for Kubernetes and cloud infrastructure are not solved domains. You'll be defining them, not following a playbook.
Equity options.
Real users, fast: your work ships to hundreds of organizations in weeks, not quarters.
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development, including access to international conferences and courses.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
Hiring process
Screening call with Recruiter
Hiring Manager interview
Technical interview (system design)
Live coding
Culture Check interview with an executive
As part of our standard hiring process, a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit.
#LI-Remote
Location: Philippines
Workplace: Hybrid
Purpose of the Role
The Field Collections Administrator provides administrative and operational support to the Field Collections Department by assisting Field Officers and the Moto Repossession Team with account-related inquiries, document preparation, internal coordination, and operational concerns. The role also supports the Small Claims process, maintains accurate records, and monitors pending requests to ensure timely resolution.
The position aims to improve operational efficiency, reduce turnaround time for field requests, strengthen documentation management, and support overall collection and specialized recovery performance.
Key Responsibilities
1. Field Operations Support
· Serve as the primary point of contact for Field Officers regarding account inquiries, account status, payment verification, and system-related concerns.
· Coordinate with Customer Service, Operations, Finance, Legal, and other relevant departments to resolve field-related concerns.
· Monitor and track pending requests to ensure timely completion and provide updates to Field Officers.
· Assist in monitoring compliance with required documentation and operational procedures.
· Maintain accurate records of requests, escalations, and resolutions.
2. Moto Repossession Administrative Support
· Provide administrative assistance to the Moto Repossession Team by preparing, consolidating, and facilitating access to documents required for repossession assignments and related recovery activities.
· Assist Moto Repossession Representatives with account inquiries, payment status verification, account details, and other information necessary for authorized repossession activities.
· Coordinate with Finance, Operations, Customer Service, and other relevant teams to verify account status, payment confirmation, and outstanding requirements.
· Assist in obtaining and organizing supporting documents, account records, authorization documents, and other required paperwork in accordance with approved procedures.
· Monitor and follow up on pending document requests and account inquiries to minimize delays in repossession operations.
· Maintain an updated tracker of repossession assignments, document requests, account inquiries, and their respective statuses.
· Assist in coordinating documentation and follow-ups for recovered units, including redemption, release, and other post-repossession administrative requirements.
· Escalate unresolved inquiries, missing documents, payment discrepancies, and delayed requests to the appropriate teams.
· Ensure that all documents and account information are handled confidentially and provided only to authorized personnel for legitimate business purposes.
3. Small Claims Support
· Assist the Small Claims Case Officer in preparing documents required for case processing and filing.
· Consolidate client records, account histories, payment records, and supporting documents.
· Print, organize, and prepare complete case folders for endorsement to Legal.
· Check documentary requirements for completeness based on the approved checklist before endorsement.
· Coordinate with relevant departments to obtain missing documents or clarifications.
· Maintain an organized repository and tracker of pending, endorsed, filed, and resolved Small Claims cases.
4. Administrative Support
· Prepare daily, weekly, and monthly operational reports as required.
· Update and maintain trackers for endorsements, legal cases, recoveries, repossession activities, and other operational requests.
· Assist in preparing presentations, reports, and meeting materials.
· Organize and archive department records, demand letters, case documents, and operational files.
· Schedule meetings and coordinate communications within the department.
· Provide general administrative support to the Field Collections Manager and other authorized team members.
5. Data Management and Documentation Control
· Validate account information and update internal trackers based on authorized and verified sources.
· Ensure the accuracy and completeness of operational data and supporting documents.
· Maintain proper filing and retrieval procedures for physical and electronic records.
· Monitor document submission deadlines and follow up on incomplete requirements.
· Ensure that confidential customer information is stored, accessed, and shared in accordance with company policies and data privacy requirements.
6. Process Improvement
· Identify recurring operational issues affecting field collections, small claims processing, and motorcycle repossession support.
· Recommend improvements to request handling, document preparation, tracking, and internal coordination.
· Assist in documenting standard operating procedures (SOPs), checklists, and work instructions.
· Support department projects and initiatives aimed at improving operational efficiency and reducing turnaround time.
· Recommend opportunities to streamline repetitive administrative tasks and reporting processes.
Qualifications
· Preferably a Bachelor's degree in Business Administration, Finance, Management, or a related field; undergraduates may also be considered.
· At least 1–2 years of experience in administration, operations, collections, or customer support. Experience in financial services or lending is an advantage.
· Strong organizational skills and the ability to manage multiple tasks and meet deadlines.
· Excellent written and verbal communication skills.
· Proficient in Microsoft Office applications, particularly Excel, Word, and PowerPoint.
· Experience using Google Workspace, including Google Sheets, Docs, and Drive, is an advantage.
· Experience using CRM or collection management systems is preferred.
· High level of attention to detail and accuracy in documentation.
· Ability to handle confidential and sensitive information professionally.
· Strong problem-solving and coordination skills, with the ability to work effectively across multiple departments.
· Ability to work independently with minimal supervision while collaborating effectively within a team.
· Willingness to learn legal documentation processes, particularly Small Claims case preparation and repossession documentation requirements.
· Demonstrates integrity, accountability, and a strong sense of ownership.
· Adaptable to a fast-paced and dynamic work environment.
Key Performance Indicators (KPIs)
· Timeliness of responding to and resolving Field Officer inquiries.
· Timeliness and accuracy of account status and payment verification coordination.
· Completeness and turnaround time of document requests from the Moto Repossession Team.
· Accuracy and timeliness of Small Claims document preparation and endorsements.
· Accuracy and completeness of operational trackers and reports.
· Timely follow-up on pending requests and unresolved issues.
· Compliance with documentation standards, confidentiality requirements, and established procedures.
Задачи:
— описывать функциональность VM‑платформы и векторы атак через Use Cases (факторы, предусловия, основной сценарий, альтернативные сценарии, постусловия, обработки исключений/ошибок);
— выявлять проблемы пользователей и переводить их в бизнес‑ и функциональные требования;
— определять функционал продукта (граф атак, фильтрация уязвимостей, Remediation Workflow) на концептуальном и логическом уровнях;
— разрабатывать концепты интерфейсов, дашбордов, матриц и отчётов, описывать логику их работы;
— защищать спроектированные Use Cases перед Системным аналитиком для последующего проектирования технических контрактов (API, БД) и архитектуры;
— приоритизировать бэклог совместно с руководителем направления;
— разрабатывать требования к алгоритмам построения графов атак (Attack Path Analysis);
— проектировать логику связывания топологии сети клиента, прав доступа и найденных уязвимостей в потенциальные цепочки компрометации.
Требования:
— высшее образование в сфере ИТ или ИБ;
— опыт от 3 лет в роли аналитика/архитектора/инженера в ИБ;
— знание OWASP Top 10, CWE, CAPEC, CVE, MTRE ATT&CKI, CTEM;
— понимание нормативных правовых актов по ИБ (ГОСТ/ISO, требования регуляторов) и умение адаптировать их к функционалу продукта;
— понимание анализа защищённости, архитектуры ОС (Windows, Linux) и сетевых протоколов;
— технический английский (чтение документации);
— высокий навык коммуникации;
— готовность к редким командировкам.
Будет преимуществом:
— опыт с VM/BAS‑продуктами, инструментами анализа путей атак (например, BloodHound);
— моделирование векторов атак (Abuse/Misuse Cases, Attack Chains, графы атак);
— администрирование сетевого оборудования (файрволы, сегментация, VLAN);
— профильные сертификаты в области ИБ.
Условия:
— работа в аккредитованной IT компании;
— релокационная поддержка при переезде;
— развивающий спектр рабочих задач, участие в реализации масштабных проектов;
— возможность влиять на архитектуру сложного технологичного продукта;
— возможность профессионального роста в сфере кибербезопасности;
— внутрикорпоративное и внешнее обучение;
— гибридный формат работы после прохождения испытательного срока;
— гибкое начало рабочего дня с 8 до 11:00;
— стабильная заработная плата, обсуждаемая индивидуально с каждым кандидатом;
— ежеквартальная система премирования, зависящая от результатов работы всей компании и вклада сотрудника;
— корпоративные активности, расширенная программа ДМС, компенсация спортивных абонементов и изучения иностранных языков.
ГибридСанкт-Петербург; Релокационная поддержка при переезде
Location: Dubai, United Arab Emirates
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
Why Deliveroo?
Our mission is to be the definitive retail destination. We are transforming the way the world shops by making the best of retail more convenient and accessible. We give people the opportunity to get what they want, from Premium Beauty to Electronics, Apparel, and Pharmacy chains, when and where they want it.
We are a technology-driven company at the forefront of the most rapidly expanding industry in the world. We are still a small team, making a very large impact, seeking to answer some of the most interesting questions out there. We move fast, value autonomy and ownership, and we are always looking for new ideas.
Job Overview
As a Senior Business Development Manager, Retail Partnerships, you will play a key role in strengthening Deliveroo's retail selection by identifying and signing the best brands across pharmacy, premium beauty, electronics, pet, apparel, florists, and other key retail categories that are currently missing from the platform. Your focus will be on closing key gaps in Deliveroo's marketplace by securing high-demand retail partners that enhance our selection and competitiveness in the market, building the perfect mall in your pocket. You will identify priority brands, develop targeted acquisition strategies, and lead end-to-end commercial negotiations, including large, complex, multi-stakeholder deals, to bring these partners onto Deliveroo.
Working closely with internal teams across marketing, operations, and onboarding, you will ensure new partners launch successfully and are set up for long-term growth on the platform.
We are looking for a highly driven and commercially minded individual with a proven track record of signing major retail partnerships, strong negotiation skills, a deep understanding of the retail landscape across multiple categories, and the ability to build relationships with senior stakeholders, including C-suite executives at national and international retail chains. This role requires a strategic mindset, strong market awareness, and the ability to identify opportunities that strengthen Deliveroo's overall retail marketplace offering.
What You'll Be Doing
Retail acquisition
Prospecting, pitching, and closing key retail leads across pharmacy, premium beauty, electronics, pet, apparel, florists, and other categories not listed on Deliveroo in your territory, with strong negotiation skills and creative thinking, including large-scale enterprise retail agreements.
Communicating with retail decision-makers and senior executives through outreach, industry events, and regular in-person meetings.
Building and managing a business case and commercial proposal for complex, multi-market or multi-banner retail deals.
Gathering relevant information from partners to support the decision-making process.
Negotiating contract terms and closing deals with new retail partners, ensuring mutually beneficial agreements.
Overseeing the onboarding process for new retail partners to ensure a smooth and successful integration onto our platform by coordinating with the onboarding team.
Tracking retail partner performance post go-live and supporting the Account Management team with any challenges.
Lead Management
Maintaining accurate records of interactions with leads and prospects in the CRM system.
Being extremely aware and knowledgeable of your pipeline at a granular level, including deal stage and timelines for major accounts.
Performance Tracking
Reporting to your line manager on pipeline progress, including status of major retail negotiations.
Meeting and exceeding monthly and annual sales and commercial targets and KPIs.
Collaboration
Adhering to our ways of working and representing Deliveroo professionally.
Channeling market feedback to your line manager with recommendations on any changes in approach or strategy when needed.
Qualifications
BSc/BA in business or a related field is preferred.
5+ years of sales & negotiation experience, preferably within a high-growth company, with a demonstrated track record of signing significant retail partnerships across categories such as pharmacy, beauty, electronics, pet, apparel, or florists.
Retail industry experience in the UAE is a plus.
Experience navigating long, complex sales cycles and negotiating with senior/C-suite stakeholders at large retail organizations.
Strong communication and interpersonal skills.
Strong analytical and strategic thinking abilities with excellent organisational and time management skills.
Ability to work independently and as part of a team.
Self-motivated, results-oriented, and able to thrive in a fast-paced environment.
Strong problem-solving skills and the ability to handle multiple projects simultaneously.
Passionate about the retail industry and staying current with market trends across categories.
Why Join Us?
At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving.
We’re food lovers, problem solvers, community builders, and more, brought together by a shared drive to make things better. Working here, you can expect to:
🔧 Solve meaningful problems at real scale
Work on a complex, always-on marketplace that impacts millions every day.
🌱
See your impact, fast
Ship, test, and improve ideas quickly in a low-hierarchy, high-ownership
environment.
🧠Grow through challenge and ownership
Take on big, ambiguous problems and accelerate your career with strong support.
🌎A culture built for builders
High standards, collaboration, flexible working, and continuous learning.
We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Find out more about how we hire
here
.
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at
careersatdoordash.com/recruitment-scam-awareness
.
Задачи:
— Системный анализ требований, формализация постановки задачи на разработку.
— Описание процессов.
— Поддержка актуального статуса по задачам и аналитическому бэклогу.
— Уточнение и формализация требований с заказчиком (деловая переписка, ведение встреч и переговоров с фиксацией протоколов).
— Взаимодействие с разработчиками, тестировщиками, смежными командами.
— Презентация реализованной функциональности заказчику, в том числе проведение демонстраций (онлайн и в московских офисах заказчика).
— Проведение инструктажей пользователей в период Опытной эксплуатации.
— Поддержка пользователей в период Опытной эксплуатации.
— Доработка проектной документации (Спецификации на доработку, Программы тестирования, Руководства пользователя и т.д.).
Требования:
— Опыт работы на аналогичной должности от 5 лет.
— Опыт работы с Gitlab / Jenkins, понимание принципов CI/CD.
— Стрессоустойчивость, готовность гибко подстраиваться под меняющиеся приоритеты.
— Опыт участия в проектах заказной разработки.
— Опыт управления изменениями в требованиях (умение определить out-of-scope требования и обосновать причину).
— Формализация требований: User story и Use case.
— Владение нотациями: BPMN, UML, ERD.
— Интеграции: REST API.
— Инструменты: Jira, Confluence.
Будет плюсом:
— Sequence Diagram.
— SQL.
Условия:
— Локация: только Москва (гибрид, с выездами в офис м. Тушинская / м. Багратионовская).
— Формат работы: гибрид (в основном удаленная работа, с выездами в офис по запросу).
— Проект предполагает разработку масштабной CI/CD-платформы для крупной финансовой организации.
— Гражданство: РФ.
— Длительность: 2–3 месяца.
— Старт: АСАП.
— ГПХ или ИП.
Задачи:
— Проводить процессные интервью с заказчиками для выявления проблем и потребностей бизнеса, согласовывать объём работ.
— Проектировать и собирать решения на платформе Elma365, включая приложения, модели данных, формы, справочники, бизнес-процессы, маршруты согласования и права доступа.
— Описывать функциональные и нефункциональные требования, формировать User Story, критерии приёмки и Use Case.
— Моделировать бизнес-процессы AS-IS / TO-BE в нотации BPMN 2.0 (UML), участвовать в разработке высокоуровневых схем решений (HLD) и согласовании их с профильными командами и заказчиком.
— Прорабатывать требования к интеграциям Elma365 с внешними системами, включая системы ЭДО и сервисы электронного подписания (ЭЦП).
— Декомпозировать и оценивать задачи, ставить их команде разработки, контролировать сроки, стоимость и качество.
— Проектировать пользовательский интерфейс средствами платформы.
— Готовить сценарии тестирования, проводить приёмку работ у команды разработки, демонстрацию и сдачу заказчику.
— Вести проектную документацию.
— Работать на разных этапах проекта: от presale и разработки технического задания до внедрения и послепроектного обслуживания.
Требования:
— Опыт работы бизнес-/системным аналитиком от 3 лет, включая опыт в B2B-сегменте.
— Опыт внедрения систем управления договорами и документооборота, включая интеграцию ЭДО и цифровых подписей (ЭЦП).
— Опыт работы в компании-интеграторе решений (на стороне исполнителя), а не только на стороне заказчика.
— Опыт работы с платформой Elma365 на уровне конструирования: самостоятельная настройка приложений, бизнес-процессов, маршрутов согласования и прав доступа.
— Опыт декомпозиции и оценки задач для команды разработки.
— Уверенное владение BPMN 2.0, опыт ведения процессных интервью.
— Опыт подготовки технических заданий и постановки задач разработчикам, участие в приёмочном тестировании.
— Понимание жизненного цикла разработки.
Будет плюсом:
— Опыт построения систем закупок на базе LowCode и знание закупочных процессов (отбор поставщика, закупочная процедура, интеграции с тендерными площадками).
— Опыт работы с программными продуктами для FMCG, дистрибуции или Retail.
— Опыт работы с Enterprise-заказчиками, бюджеты проектов от 5 млн ₽.
— Прикладные навыки: MS SQL и/или Python, Postman/Swagger, средства отладки браузера.
— Опыт использования ИИ-инструментов в повседневной работе, включая сборку локальных агентов под задачи с использованием LLM.
— Знание SDLC, PMBoK, гибких методологий.
УдалённоmiddleГеография найма не уточнена
San Francisco, CA | New York City, NY
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Paris; In certain specific situations, we will also consider remote candidates based in one of the countries listed in this job posting — currently France & UK; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
ГибридSan Francisco; New York
seniorCyprus; Finland; Ireland; Malta; Montenegro; Sweden
ГибридseniorDubai, United Arab Emirates
ГибридseniorLondon, United Kingdom; Belgrade, Serbia
seniorDubai, United Arab Emirates; We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief
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