Вакансии

Location: San Francisco, CA, USA About the role We're hiring a Sr. CRM Operations Manager to help transform how Chime's Lifecycle Marketing & CRM team operates and scales. You'll lead our most important cross-functional CRM initiatives, connecting Lifecycle Marketing, MarTech, Engineering, and other partners to turn complex business needs into scalable systems and processes. As a strategic individual contributor, you'll influence technical roadmaps, improve operational efficiency, and help us build smarter, more automated member experiences. This isn't a daily campaign execution or engineering role—your impact will come from bringing teams together, solving complex operational challenges, and building systems that help us move faster. In this role, you can expect to Lead high-impact CRM initiatives: Own complex, cross-functional programs such as platform migrations, channel integrations, and automation transformations—from early discovery through implementation and adoption. Connect Marketing with Product and Engineering: Translate lifecycle marketing goals into clear business requirements, data specifications, and technical priorities, helping teams align on what needs to be built and why. Make CRM operations more scalable: Improve campaign intake, QA standards, documentation, governance, and prioritization processes so teams can execute more efficiently and with fewer errors. Strengthen channel health and compliance: Partner with Legal, Compliance, Data, and channel owners to improve deliverability, consent management, frequency capping, and messaging quality. Drive the evolution of lifecycle automation: Help move our CRM ecosystem beyond manual, campaign-focused workflows toward automated, scalable, and intelligent member journeys. Influence teams and priorities: Work closely with senior stakeholders to resolve dependencies, navigate competing priorities, and drive decisions without relying on direct reporting authority. Deliver measurable operational impact: Establish success metrics and connect improvements in workflows, systems, and governance to efficiency, execution quality, risk reduction, and downstream business outcomes. To thrive in this role, you have 8+ years of experience in CRM operations, marketing program management, or marketing technology alignment, with a track record of working in complex marketing environments. Demonstrated ownership of large cross-functional initiatives , taking ambiguous business problems through planning, implementation, stakeholder alignment, and successful adoption. Strong business-to-technical translation skills , including experience turning marketing needs into actionable requirements for Product, Engineering, and data teams. Deep familiarity with enterprise CRM platforms such as Braze, Iterable, or Salesforce Marketing Cloud, including how data infrastructure supports lifecycle marketing capabilities. Experience building scalable operating frameworks , including campaign intake, operational governance, quality assurance, and documentation standards. Exceptional stakeholder management and communication skills , with the ability to influence senior leaders, resolve competing priorities, and drive decisions without direct authority. A process-first, outcomes-oriented mindset , with the ability to identify operational friction, implement sustainable improvements, and measure their impact. #LI-Onsite #LI-AM1 Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. Wage Notice $145,000 — $200,000 USD A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't—who will? *Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. 💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees. ✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life. 🏝 Generous vacation policy and company-wide paid days off 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents 👪 Access to family planning reimbursement 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: accommodations@chime.com . To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice .

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Machine Learning Engineer, Customer Memory. About the job This position is needed to build and scale the pipelines that turn raw conversation data into structured, searchable customer memory, and the evaluation systems that keep that memory accurate as the product evolves. You'll join the Conversation Memory team, which builds the memory layer behind Twilio's Conversational AI platform: the systems that extract what matters from millions of conversations, resolve it to the right customer, and retrieve it in milliseconds when an agent needs it. Memory that is wrong, stale, or crossed between customers is worse than no memory at all, so quality measurement is a first-class part of the work. Responsibilities In this role, you’ll: Build the extraction pipeline that turns raw data into structured memory, tuning the LLM prompts and schemas that decide what an AI agent remembers about a customer and what it forgets. Own the retrieval path that answers "what do we know about this person?" in milliseconds, working with embeddings, vector search, and ranking Contribute to the eval systems that tell us whether memory is actually getting better, turning a fuzzy question of quality into benchmarks and regression gates that run before every change ships. Diagnose production issues across the ingestion, extraction, and indexing path using logs, metrics, and traces. Partner with Product and ML teams to translate customer problems into system changes and evaluation criteria. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: Experience building backend services, and a demonstrated ability to pick up new languages, frameworks, and tools as the problem demands. A curious approach to service management: ability to investigate how systems actually behave in production, and desire to continuously learn how to operate them with rigor and accountability. Experience building or working with evaluation/quality-measurement systems, such as regression detection or quality metrics, or the desire to learn. Solid grounding in observability practices: structured logging, metrics, and using them to debug distributed systems in production. Fluency with AI-assisted dev tools (e.g. agents for code generation, review, debugging), applied with deliberate direction and critical thinking. Desired: Experience with Go and/or Python. Experience with event-streaming systems (e.g. Kafka). Experience building LLM-backed products. Practical experience applying ML, e.g. building, evaluating, or productionizing models. Location This role will be remote, but is not eligible to be hired in San Francisco, CA, Oakland, CA, San Jose, CA, or the surrounding areas. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $128,560 - $160,700 Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $136,000 - $170,000. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Application deadline information Applications for this role are intended to be accepted until November 13, 2026 but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: United States Remote Workplace: Remote ABOUT THE TEAM Mural helps teams think, decide, and follow through together. AI made producing content cheap. It did not make agreement, commitment, or follow-through any easier. The AI Workflows team builds the AI and agentic experiences inside Mural that help teams reach decisions and keep them. YOUR MISSION You will own the outcomes for new AI experiences from first idea to proven value. You will partner with the Engineering Manager and the Agentic Design Director for AI Workflows as counterparts, and together you will own the strategy. You will work with a wider team of engineers, ML engineers, designers, and product managers, moving from hypothesis to working prototype to evidence in weeks, not quarters. You will build prototypes yourself and decide what ships, what changes, and what we stop, based on what users do and what the evals tell us. WHAT YOU'LL DO - Set strategy for AI Workflows together with your engineering and design counterparts, own the outcomes and the evidence behind what we build, and engage deeply in the end-to-end user experience - Find the team workflows where AI adds clear value, at the intersection of collaboration, alignment, and decision making. - Build working prototypes with modern AI tools (Claude, Cursor, Codex, or similar) to test ideas with users before committing further investment. - Turn each release into a hypothesis with pass/fail criteria, and make the call on whether to iterate, scale, or kill it. - Define product-quality evals with engineering that measure usefulness, trust, and reliability, and own the call on whether an experience meets the bar to ship. - Decide with engineering and ML when to use frontier models, when to route across models, when to bring in a new model, and when a model of our own is worth building. - Understand the cost to serve each workflow, and work with growth and finance on how usage is metered and what the unit of value is. - Set up the data loops that improve quality, including what we collect, how we label it, and how it feeds evals and model work. - Design agentic experiences that work in real multiplayer sessions, where people need to understand, steer, and correct what the agent does. - Talk with users every week and bring what you learn back into the work. - Work with design, engineering, marketing, sales, legal, and security teams to align on shipping decisions. - Share what you learn across the product organization so other teams can adopt the practices that work. WHAT YOU'LL BRING - 7+ years in product management, including shipping at least one AI product from concept to real users. - Recent hands-on experience building agentic or LLM-based products, including what went wrong and what you changed. - Technical fluency to design and read evals, and to work as a peer with engineers and ML engineers on context management, latency, reliability, and failure modes. - Sound judgment on model decisions: comparing models, routing across them, adopting new ones, and deciding when fine-tuning or a custom model is worth it. - Understanding of AI unit economics, including cost to serve, usage-based metering, and how model choices change margin. - A record of launching, rebuilding, changing direction, and killing ideas based on evidence - Comfort making high-stakes decisions with incomplete information, and being candid about the tradeoffs. - Experience owning outcomes while partnering with expert engineering and design leaders as true counterparts. - Experience creating structure where no playbook exists. - Experience with collaboration or productivity software. - Experience with forward-deployed or customer-embedded product work. - Experience with agent interoperability, including MCP. EQUAL OPPORTUNITY  We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Location: Redwood City, CA, United States WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU As a Staff Product Manager for AI Security, you will be the strategic product leader responsible for defining and executing the product vision and roadmap to secure agentic AI capabilities, autonomous workflows, and generative AI integrations across the Box Intelligent Content Management platform. As enterprise AI evolves from single-prompt interactions to multi-agent architectures and autonomous agentic workflows, securing enterprise content against novel AI threats is a top priority for CISOs and security leaders worldwide — and existential to Box's mission. In this high-impact individual contributor role, you will build and scale defense mechanisms for both Box's native agentic capabilities — including Box Agent — and external integrations connecting third-party agents and foundation models via Model Context Protocol (MCP) and enterprise APIs. You will partner closely with world-class AI/ML engineers, security architects, red-team researchers, and corporate security teams to translate the bleeding edge of AI threat intelligence into robust, scalable platform guardrails and enterprise security controls. WHAT YOU'LL DO You will define and execute the product strategy, technical vision, and roadmap for AI Security and Agentic Guardrails across Box AI, Box Shield, and the broader Box platform ecosystem. You will build agent guardrail frameworks and policy engines to monitor, evaluate, and constrain autonomous agent behaviors across Box Agent, custom workflow agents, and external model integrations. You will secure agentic connectivity powered by Model Context Protocol (MCP) and third-party AI APIs, establishing strict authentication, context boundary isolation, dynamic permissioning, and secure tool execution. You will architect multi-layered defenses against advanced AI threats, including direct and indirect prompt injection, jailbreaking, training data extraction, system prompt leakage, and coordinated agentic attack swarms. You will partner with Engineering, Applied AI/ML Research, Security Architecture, and UX Design to deliver low-latency, enterprise-grade AI security controls that preserve developer velocity and user experience. You will drive key business and security efficacy metrics, including guardrail evaluation accuracy, prompt injection prevention rates, MCP integration adoption, and Shield / Enterprise Plus security revenue growth. You will collaborate with Product Marketing, Sales, Customer Success, and Compliance to lead GTM strategy and position Box as the gold standard in safe, trusted Enterprise Agentic AI. You will engage directly with enterprise customers, AI security working groups, and industry analysts to anticipate evolving AI attack vectors, validate product requirements, and guide industry best practices. WHO YOU ARE We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. You have 8+ years of product management experience building and scaling enterprise B2B SaaS security products, cybersecurity platforms, cloud security solutions, or AI/ML infrastructure platforms. You bring deep domain expertise in AI/ML security, LLM application security (e.g., OWASP Top 10 for LLM Applications), prompt injection defense, agentic guardrail frameworks, or model alignment and safety systems. You have a proven track record developing product strategies around agentic architectures, multi-agent coordination, tool-use and function-calling security, or model integration protocols such as Model Context Protocol (MCP). You have a strong understanding of emerging threat vectors targeting autonomous AI systems, including multi-turn adversarial attacks, indirect injection via ingested content, and coordinated agentic attack swarms. You have the technical acumen to partner with AI/ML research and engineering leaders on vector embeddings, semantic evaluation models, LLM latency trade-offs, API gateway security, and zero-trust data access control. You have exceptional analytical capability to define guardrail telemetry, track threat mitigation efficacy, and balance strict safety barriers with responsive AI interactions, along with proven executive presence to influence C-level security leaders and align cross-functional stakeholders. Preferred Skills Experience working with frontier AI/LLM models, prompt evaluation frameworks, red-teaming AI systems, or developing real-time guardrail runtime libraries (e.g., NeMo Guardrails, Llama Guard, or proprietary guardrail pipelines). Hands-on familiarity with MCP (Model Context Protocol), agent orchestration frameworks, or semantic router architectures. Familiarity with enterprise compliance standards, zero-trust architectures, data loss prevention (DLP), or AI governance frameworks (e.g., NIST AI RMF, ISO 42001). Technical background with a Bachelor's or Master's degree in Computer Science, Cybersecurity, Artificial Intelligence, Engineering, or equivalent practical experience. Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . Redwood City Pay Range $217,000 — $271,000 USD

Location: Berlin Workplace: Hybrid At Upvest, we are on a mission to make investing as easy as spending money. Upvest empowers businesses to offer a wide range of investment products and the best experience in the field of capital market investment and retirement planning. Upvest’s Investment API is easy to integrate so that fintechs and financial institutions can save resources and fully focus on their core business. We are proud to partner with Europe’s leading Fintechs and financial institutions such as DKB, Revolut, N26 and Raisin. Founded in 2017 by Martin Kassing, Upvest now brings together over 270 talented professionals from more than 70 nationalities. Upvest is backed by €280M in total funding from world-class investors, including BlackRock, Tencent, Sapphire Ventures, and Bessemer Venture Partners, Earlybird, Notion Capital, and Motive. Our latest €105M funding round in March 2026 - led by Sapphire and Tencent - serves as a massive catalyst for our growth, allowing us to offer premier investment experience. About the role: Upvest is looking for a Senior Site Reliability Engineer to raise the bar on how we build, run and recover our systems. Our platform sits in the critical path for our clients and their end customers and as we scale reliability and availability become more crucial. In the near term, you’ll focus on three things: eliminating toil, improving incident management and observability. That means establishing the standards through automation and guardrails that make good engineering the default, turning our incident process into a robust and effective practice, and giving every team the telemetry to see what their services are doing in production. Over time, your scope grows into resilience architecture, chaos engineering and disaster preparedness - making sure our systems degrade gracefully and that we find weaknesses before our clients do. You’ll work closely with product engineering teams, embedding SRE practices into how they design, ship and operate, and mentoring engineers along the way. If you like the idea of setting technical direction for reliability across an organisation, and you measure your success by how rarely anyone has to think about you at 2am, this is the role for you. What you’ll do: - Incident Excellence: transform how we respond to and learn from incidents, turning repeat problems into opportunities through robust runbooks and post-mortem culture. - Reliability as Code: establish SLOs, SLIs, and error budgets that become the shared language of engineering velocity and stability. - Automation Leverage: eliminate toil ruthlessly. Build tools that let engineers focus on building value for our clients. - Defensive Architecture: establish SRE principles and patterns (circuit breakers, bulkheading, graceful degradation, intelligent rate limiting) to make our services resilient. - Stress at Scale: validate system behavior under synthetic load and adversarial conditions, proving our defenses work to improve disaster preparedness. - Proactive Defense: design chaos experiments, redundancy patterns, and failover strategies that validate resilience before customers ever see an issue. What you bring: - Deep SRE Mastery: years in high-stakes environments (FinTech, payments, banking, trading, mission-critical SaaS) where downtime has real consequences. - Technical Depth: hands-on expertise with SLOs, incident management, observability, automation, and the discipline of eliminating toil. - Systems Thinking: you understand resilience architecture deeply and how to design systems that fail gracefully. - Influence Without Authority: exceptional communication and stakeholder management skills. You can change minds and shape culture through clarity and engineering excellence. - Leadership: proven ability to mentor engineers, see projects through end-to-end and set technical direction in an engineering organisation. IT’S GREAT IF YOU HAVE: - Investment Industry Fluency: understanding our domain means your SRE decisions align with business reality, not just technical ideals - Stack Familiarity: experience with Golang, Kubernetes, GCP, Postgres, Kafka, or Datadog accelerates your impact How we Upvest in you: - Best-in-class AI tools: Every Upvenger has €20,000 per year to spend on the best AI tools available — so you're always working with the most powerful models and tooling on the market. - Impact-driven work: We’re building the infrastructure that will power the future of investing in Europe. It’s complex, ambitious, and meaningful. You’ll work with modern technologies and create something entirely new. No legacy systems, no limits. - Wellbeing: Recharge with 30 days of annual leave and maintain a healthy lifestyle with sports benefits. Access confidential professional coaching and enjoy the flexibility to work remotely abroad for up to 183 days a year. Recharge with UpRest, a one-month fully paid sabbatical after every 4 years of working at Upvest. - Development: Growth is in our DNA. Each Upvenger has access to a personal development budget and the freedom to decide how to use it. - Compensation and equity: We believe that all Upvengers contribute to our success and deserve a competitive, above-market salary and a participation in our employee equity program. - Team celebrations: Participate in company-wide events, such as UpFest, dinners, offsites and our Holiday party, to connect with colleagues and celebrate our achievements. - Inclusion: We’re committed to a culture where everyone belongs and thrives. Our Employee Resources Groups foster inclusion and connection, like Upfem Black at Upvest, Up&Out, and UpVergent. Our Values: - Make it easy for others. We simplify the complex and act with the best intentions - Own the outcome. We are proactive, fast and confident to get the job done, valuing progress over perfection. - Rise to the challenge. We aim high and push the boundaries. We stay curious, learn and celebrate our wins together. - Tell the story. We start with the Why to align on purpose. We are transparent and share knowledge to empower and inspire others. Upvest is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Location: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE OnePay’s Pay Later helps Walmart customers spread out the cost of what they buy, and we’re focused on getting it in front of more of them. This PM owns that growth: finding new places and moments to offer it, and turning interest into customers who start a loan. You’ll partner closely with engineering, analytics, and Walmart-facing teams. It’s a growth role with Walmart-scale distribution, and priorities move fast, so we want someone who would rather ship and measure than plan. You will:   - Own how customers discover Pay Later and start a first loan from places other than checkout - Lead in-store and wallet provisioning from first test through scaled rollout - Set demand and conversion targets with analytics, then run experiments against them continuously - Work with the team building our personalization platform so the right customer sees the right offer at the right moment, and push it to perform for Pay Later - Ship with Engineering, Design, Risk, and our Walmart partners You bring - 3-5+ years in product, mostly at startups, owning a funnel or growth surface end to end. You can tell us what you moved and by how much - A record of getting things shipped through teams you did not manage, such as platform, data, and partners - Strong ownership, with experience being a decision maker - Experience in payments, lending, consumer banking platforms. BNPL helps but is not required WHAT WE OFFER - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: New Jersey; New York; Connecticut Workplace: remote About the role: At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA. Why Provectus Frontier access — Anthropic Preferred Partner: newest Claude models, real budgets, real problems. Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive. Embedded, not engaged. You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented. Autonomous. You own the work from framing through to production, visible to clients and founders.  You own the method; nobody hands you a ticket. Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack. Craft & growth — build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name. We give you a stage: Claude certification, conference talks, open-source contributions, published work under your own name. Requirements: Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way. Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly. Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why. Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits. Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room. Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job. Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses). Nice to have Containers and orchestration (Kubernetes/ECS) and CI/CD in production. IaC depth: AWS CDK, CloudFormation, Terraform. Open-source contributions or public writing on applied AI. What you’ll do: Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it. Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously. You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it. Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare. Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice. What We Offer: Full-time. On-site visits to client’s facilities and our office in NYC 1/week Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan. Base salary $200k–$250k + bonuses; OTE up to $300k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data. No Visa sponsorship We’re real: A person reads your application. We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team. We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates. You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO. How we hire: Recruitment interview. Tech interview with our FDE (30 min). A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked. Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows. 4. Soft skills interview. 5. Offer discussion.

Location: London, United Kingdom Workplace: hybrid About us At Xelix, we work with some of the world’s largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate - moving from manual processes to automated, intelligent workflows. Xelix is a fast-paced scale-up - things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively, whilst remaining profitable. We have over 100 talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun & we love to celebrate a milestone together. In this role you’ll grow, be challenged and help shape the future of Xelix. If you’re excited about building something special with us, we’d love to hear from you. About the role The Senior Services Consultant leads the implementation of Xelix for customers and partners by serving as the project manager, and technical expert. This is an exciting role working within a rapidly growing team at Xelix. The role is critical in ensuring that any customers of Xelix are launched correctly on the platform and can use the platform as designed. The ability to manage internal and external stakeholders, proactively mitigate risk and translate technical information for non-technical personnel are key success factors. We’re also AI-forward, always thinking about how we can enhance our services offering with AI embedded throughout. The successful candidate would have experience in working with Enterprise customers leading software implementations. They must demonstrate excellent technical acumen, organisational and communications skills and a drive to ensure the client experience matches our culture and helps build enduring relationships with our customers. This role would be ideal for a candidate looking to leverage and hone their existing customer relationship management skills whilst gaining experience of leading projects and gaining technical knowledge of Xelix. What you'll be doing Leading Implementation team on projects, and being the key point of contact for customers Leading implementation projects for enterprise customers, becoming a subject matter expert in Xelix Acting as the primary project manager and point of contact for technical requirements Managing risks, dependencies and change controls across internal and external stakeholders Ensuring technical prerequisites are met, including data file design, secure file transfer, and system configuration Running customer-facing workshops and translating technical information clearly What you’ll bring 8+ years of work experience in SaaS Fintech Consulting. Experience of project management/implementations for customers at an Enterprise level for multiple customers concurrently Understanding of File Transfer protocols, IT project delivery and software security considerations Excellent customer relationship management Commercial acumen demonstrable by examples Bonus: Verifiable technical skills like Python (using data sets) Consulting experience within a Start-up or Scale-up What we offer in return 💰 Competitive salary depending on experience + 10% bonus 🏝️ 27 days of annual leave (including 3 days Christmas closing) which increases up to 3 days based on tenure, with the option to roll over, buy or sell up to 3 days 🏡 Hybrid working with two days a week from our dog-friendly Hoxton office 💪 On-site gym and cycle to work scheme 🛍️ Employee discount at over 100 retailers 🏥 Comprehensive private medical & dental cover with Vitality 🍼 Enhanced parental leave pay 📚 Learning & development culture – £1,000 personal annual budget 🌍 We’re carbon-neutral and are working towards ambitious carbon reduction goals 🎯 Lots of team socials & activities ☀️ Annual team retreat Want to learn more? About us Xelix blog Xelix news Xelix glassdoor We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate! If you're a recruiting agency - we have an existing list of agencies we work with and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach. This is a full-time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday. Interview Process While the exact process may vary slightly depending on the role, our typical interview stages are: Introductory Call – A short Teams conversation with a Talent Partner to discuss your background and the opportunity. Hiring Manager Interview – A 30–45 minute Teams meeting to explore your experience and fit for the team. Technical Task or Presentation – A role-relevant exercise to demonstrate your skills and approach. Final On-site Interview – An in-person meeting with our senior leadership team and co-founders at our office. We strive to make the process clear, efficient, and respectful of your time. We welcome the responsible use of AI for research and interview preparation, but ask that it isn't used to generate answers during live interviews. We also believe in being transparent - we use Metaview's AI note-taker during interviews so our interviewers can stay fully present. If you'd prefer us not to use it, just let your interviewer know. While you may need to answer eligibility questions as part of your application, we do not use AI to review or make decisions on applications - every application is reviewed fairly by a member of our Talent team.

Location: Espoo Workplace: Hybrid PRODUCTION TEAM LEAD, SATELLITE ELECTRONICS SUBSYSTEMS Role highlights - Title: Production Team Lead, Satellite Subsystems (Electronics, Battery and Software Integration) - Department: Global Manufacturing Organisation - Location: Espoo, Finland - Reports to: Head of Subassemblies - Employment type: Permanent - Workplace model: On-site - Employment is subject to applicable security screening (including SUPO, where required) LEAD TODAY'S PRODUCTION. ENGINEER TOMORROW'S SYSTEMS. Before launch, ICEYE satellites rely on complex electronics, battery packs, and flight software. Today, these critical workflows depend heavily on manual assembly and verification. To support our rapid growth, we are seeking a Production Team Lead to modernize, scale, and own this end-to-end area, enabling exponential output while ensuring quality, cost efficiency, and operational simplicity. Leading teams across electronics, batteries, software, and testing, you will utilize dedicated capital resources to build an automated, data-driven production environment. WHAT YOU WILL OWN - Daily Operations: Lead manufacturing across electronics assembly, battery fabrication, software loading, integration, and functional testing while upholding safety, quality, cost, and throughput standards. - Production Architecture: Standardize workflows, takt times, line layouts, and kitting to deliver predictable, repeatable cycle times. - New Product Introduction (NPI): Scale new subsystem designs and next-gen satellite platforms from R&D to high-rate production, ensuring tooling, test, and workforce readiness. - Automation & Digital Manufacturing: Champion automated functional testing, scripted software deployment, unit-level data logging, and full electronic revision traceability. - Hardware-Software Integration: Optimize workflows spanning assembly, functional testing, firmware flashing, and systemic validation to ensure flawless alignment between software releases and hardware revisions. - DFM/DFT & Continuous Improvement: Participate in design reviews, translating floor-level yield and test metrics into continuous design and manufacturing enhancements. - Risk & Quality Controls: Embed best practices for battery handling, state-of-charge management, ESD protection, FOD control, and cleanroom disciplines directly into daily operations. - Leadership & Development: Recruit, train, certify (J-STD-001, IPC-A-610, ESD), and mentor a team of 10–15 technicians using visual management and Lean frameworks. WHAT YOU BRING Required Qualifications - 5+ years of assembly and testing experience in electronics, battery systems, avionics, rf within high-reliability sectors (aerospace, defense, EV, or robotics). - Proven leadership experience managing and coaching 10–15 technicians in fast-paced production environments. - Strong practical electronics expertise: interpreting schematics/drawings, operating diagnostic equipment, and isolating root causes. - Software integration experience: firmware flashing, version control, configuration management, automated log parsing, and test script execution (e.g., Python). - Foundational knowledge of battery safety and handling protocols, including state-of-charge management. - Applied mastery of Lean manufacturing principles (standardized work, takt time, root-cause analysis) with a track record of driving operational improvements. - Strong analytical problem-solving skills and professional English communication abilities. Technical Domains Managed You will lead and collaborate with experts across PCB design, embedded software, battery electrochemistry, RF testing, and environmental testing. Specialized background in any of these areas is a plus. Preferred Qualifications High-rate manufacturing background; experience implementing automated test systems or software deployment pipelines; active J-STD-001/IPC-A-610 Trainer certifications; familiarity with ECSS/NASA standards; experience with MES, ERP, or PLM platforms. THE BAR We are looking for a forward-thinking leader who blends operational rigor with a systems-engineering mindset—proactively eliminating manual bottlenecks, addressing root-cause defects, and continuously optimizing manufacturing efficiency. WHO THIS IS NOT FOR - Professionals seeking to administer legacy processes rather than design, build, and scale new operational frameworks. - Candidates who prefer strict boundaries between hardware and software engineering domains. - Desk-bound managers—this role requires an active, engaging daily presence on the cleanroom production floor. WHY ICEYE ICEYE designs, manufactures, and operates the world's largest constellation of Synthetic Aperture Radar (SAR) satellites. We build our satellites in-house and are actively scaling manufacturing capabilities for next-generation constellations. - Direct Impact: Drive production for core satellite subsystems that directly govern our constellation's global growth rate. - Cross-Functional Collaboration: Work side by side with hardware design, software engineering, and satellite integration teams co-located in our Espoo facility. - Capital Support: Access dedicated budget and capital backing to implement state-of-the-art automated test setups and manufacturing technology. PRACTICALITIES AND HOW TO APPLY - Location: Espoo, Finland (on-site production floor role with occasional site travel). - Language & Relocation: International English-speaking workplace; relocation support provided where applicable. Please submit your CV along with a one-page summary highlighting a major engineering or production challenge you led and solved—detailing the baseline, strategic actions, and measurable results achieved.

-Собирать автоматизации в LangFlow и n8n: RAG-пайплайны, боты, цепочки обработки документов и интеграции. -Писать интеграционный код на Go: обвязка LLM API (OpenAI, Anthropic), вебхуки, REST API, работа с PostgreSQL/Redis.

Location: New York, New York, United States EQT is looking for a Vice President, Tax Compliance to help lead its US tax compliance and reporting activities, working closely with the New York-based tax team and the wider Global Tax function. This role offers an opportunity to take ownership of a broad range of tax compliance work within a global investment firm, while partnering with colleagues across multiple jurisdictions. About the Team The Tax Compliance team sits within EQT's global Tax & Structuring (T &S) function, which brings together more than 30 professionals across New York, London, Stockholm, Luxembourg, Singapore, and Hong Kong, with a new team now building in Warsaw. The team is multicultural, with backgrounds spanning tax compliance, accounting, advisory, M&A, and tax operations across multiple jurisdictions . The team manages EQT's international tax compliance obligations across partnerships and corporate entities tied to the firm's investment funds, carried interest, and employee-related vehicles. It also supports investor tax reporting and allocation calculations and serves as a key point of contact for investors on tax-related questions. To deliver on this, the team works with large volumes of data, uses tax technology and proprietary systems to streamline processes, and collaborates closely with fund control lers, portfolio managers, and external advisors. About the Role This role takes ownership of US tax reporting and compliance matters, working independently while partnering closely with internal stakeholders and external service providers. It combines hands-on delivery with process improvement and technology-driven initiatives. Lead US federal, investor, and personal tax reporting matters, including annual K-1 preparation for US private wealth products. Coordinate the US tax reporting process for the individual investor base across Private Capital and Real Assets. Review tax deliverables prepared by external service providers to ensure quality and accuracy. Oversee the timely calculation and distribution of investor tax reports, including quarterly tax estimates. Manage the timely payment of state tax liabilities and lead investor tax queries, with a focus on service quality. Partner with HR teams and service providers to support employees with complex personal tax situations during international assignments. Maintain oversight of tax reporting processes through regular check-ins with external providers, tracking quality, timelines, and budgets. Lead responses to tax audits and authority requests, and drive automation and process improvements across tax compliance activities. About You We're looking for an organised , analytical tax professional with strong communication skills who enjoys working in a fast-paced, collaborative environment. What you'll bring (must-have): Master's degree or equivalent professional experience in tax, accounting, or law. Proven experience in tax compliance or tax advisory work, typically around 7 years, gained at a professional services firm, in a financial controller role, or as a tax lawyer. Strong understanding of investment fund structures, such as feeders, blockers, sidecars, and co-investment vehicles, along with carry and waterfall computation models. Solid grounding in tax principles and the regulatory environment, with hands-on experience in tax compliance. Strong communication and interpersonal skills, with the ability to prioritise and manage multiple tasks independently in a dynamic setting. Proficiency in Microsoft Office and familiarity with process management tools. Fluency in English, spoken and written What we offer A unique, challenging and independent role managing a broad range of tax compliance and reporting activities. A position at the heart of a dynamic and successful private equity / venture capital firm. The opportunity to be part of an inspiring, multicultural team of professionals and to gain exposure to complex and non-traditional structures. Great learning and development opportunities, including involvement in technology-driven initiatives and process innovation. The chance to work in an internationally operating company with a diverse and inclusive culture. Excellent primary and secondary employment terms. Compensation & Benefits Notice We offer a competitive total rewards package including base salary, determined based on the role, experience, skill set, and location. Eligible employees may also receive discretionary incentive compensation, awarded in recognition of individual performance and company results. EQT provides a comprehensive benefits offering designed to support employee wellbeing, development, and work-life balance. Benefits include paid time off, parental leave, wellbeing and wellness support, flexible working arrangements, and learning and development opportunities. Benefits are effective from the first day of employment and may vary by location and role. Salary Range Disclosure The expected base salary range for this New York, United States–based position is USD 170 000 to 220 000 per year, determined in good faith based on role scope, experience, skills, and location. The role is also eligible for an annual discretionary bonus of at least 20%. Additional details regarding compensation and benefits will be provided during the hiring process. Inclusion at EQT Our vision for EQT employees is to build high performing & engaged teams. Our competitive edge comes from fostering an environment where every individual feels valued, empowered, and motivated to drive business impact. Our commitment to inclusion is not just about fairness; We understand and believe that being a great place to work drives the best performance.At EQT, inclusion is a business imperative and it's embedded into our talent strategy, decision-making, and culture to ensure that every individual and team operates at their full potential. By doing so, we unlock better collaboration, stronger innovation, and superior investment outcomes. About EQT EQT is a purpose-driven global investment organization focused on active ownership strategies. With a Nordic heritage and a global mindset, EQT has a track record of more than three decades of developing companies across multiple geographies, sectors and strategies. EQT has investment strategies covering all phases of a business’ development, from start-up to maturity. EQT has €‌​​354​‌ billion in total assets under management (€195​‌ billion in fee-generating assets under management) as of 30 September 2026, within four business segments – Private Capital, Infrastructure, Real Estate and Secondaries. With its roots in the Wallenberg family’s entrepreneurial mindset and philosophy of long-term ownership, EQT is guided by a set of strong values and a distinct corporate culture. EQT manages and advises funds and vehicles that invest across the world with the mission to future-proof companies, generate attractive returns and make a positive impact with everything EQT does. The EQT AB Group comprises EQT AB (publ) and its direct and indirect subsidiaries, which include general partners and fund managers of EQT funds as well as entities advising EQT funds. EQT has offices in more than 25 countries across Europe, Asia and the Americas and has more than 2,200 employees. More info: www.eqtgroup.com Follow EQT on LinkedIn , X , YouTube and Instagram

Location: München, Germany Workplace: Hybrid At Knuspr, Finance is not a back-office function. It’s a core driver of how we make decisions, run smarter operations, and scale sustainably. As a Finance Business Partner, you will act as a critical co-pilot to our Operations (Fulfilment Centres) and Commercial leadership. This is a hands-on, high-exposure role where you will be embedded directly in the day-to-day business—turning financial data and operational metrics into actionable decisions that directly influence our profitability and growth. WHY THIS ROLE IS EXCITING - Direct business impact: Your insights, business cases, and analysis will directly shape operational efficiency, commercial initiatives, and unit economics. - True business partnering: You won't just report numbers after month-end; you’ll work side-by-side with Operations and Commercial Directors to challenge how things are done and drive change. - Speed and autonomy: We move fast and avoid rigid corporate red tape—good ideas and viable solutions get tested and implemented quickly without layers of approval. - Cross-functional visibility: You will act as the key bridge connecting finance, logistics, commercial strategy, and leadership across the business. - Dynamic scale: You will solve real operational and systemic challenges in a fast-paced, high-volume e-commerce environment.   WHAT YOU WILL OWN AND DELIVER - Partner with leadership: Serve as the trusted finance partner for Operations and Commercial Directors, challenging existing setups and advising on strategic and operational decisions. - Drive performance analysis: Deliver ad-hoc deep dives, scenario modelling, and business cases to evaluate new projects, operational investments, and commercial opportunities. - Identify efficiencies: Spot operational bottlenecks, cost drivers, and financial risks across our fulfilment network and commercial operations, proposing concrete solutions to fix them. - Financial planning & reviews: Collaborate closely on budgeting, rolling forecasts, monthly financial performance reviews, and audit support. - Process & system improvements: Actively participate in developing internal financial tools, automating reporting, and establishing scalable internal controls that support rapid growth.   WHAT WE ARE LOOKING FOR - Proven finance background: Solid experience as a Senior Controller, Financial Analyst, or Finance Business Partner, ideally in a fast-paced, operational, or retail/e-commerce environment. - Commercial mindset: Strong grasp of business economics and core accounting principles, with the ability to translate complex financial data into practical operational insights. - Stakeholder management: Demonstrated ability to communicate effectively, build trust, and constructively challenge non-finance stakeholders and directors. - Hands-on analytical skills: Advanced Excel proficiency (complex formulas, PivotTables, data manipulation) and comfortable working directly with large datasets. - Ownership and initiative: A proactive, solutions-oriented approach with the confidence to dive deep into details and take accountability for outcomes. - Languages: Working proficiency in English (communicative level for business reporting and collaboration).   WHAT WE OFFER - Unlimited Vacation: Unlimited vacation days for a balanced work-life balance - Tax-Free Benefits: Monthly vouchers of €45 tax-free (via become.1) - Remote Allowance: €20 monthly allowance towards internet costs - Exclusive Shopping Perk: Knuspr Xtra account with 10% cashback in the form of Knuspr Credits - Corporate Discounts: Great discounts via CorporateBenefits (fitness, travel, tickets, shopping, and much more) - Culture & community – A collaborative, informal team that pulls together, alongside legendary company events and an open-feedback environment.     #LI-FK1

Location: Москва Workplace: гибкий Мы — группа мультимодальных контентных моделей в отделе экспериментальных технологий AI VK. Мы разрабатываем технологии глубокого понимания контента и применяем их для развития рекомендательных систем ВКонтакте. Мы строим модели, которые извлекают содержательные представления из постов, клипов, длинных видео и музыкальных треков, объединяя информацию из текста, изображения, видеоряда, речи и звука. Эти представления используются для поиска похожего контента, построения признаков, классификации и улучшения качества рекомендаций в продуктах VK. Основные направления нашей работы — базовые embedding-модели для представления контента, мультимодальные модели и контентные классификаторы. Мы исследуем современные архитектуры, обучаем собственные модели на больших внутренних датасетах и доводим их до применения в продуктовых рекомендательных системах. Позиция находится на стыке ресёрча и инженерии: от чтения статей, построения датасетов и постановки экспериментов до масштабного обучения, оптимизации инференса и проверки моделей в A/B-тестах. Стек: PyTorch YT (YTsaurus), YQL NVIDIA Triton Inference Server, TensorRT, vLLM Распределённое обучение и multi-GPU inference Python, C++, Go Задачи Разрабатывать и обучать базовые embedding-модели для текста, изображений, видео, речи, звука и музыки Разрабатывать мультимодальные модели и контентные классификаторы Исследовать архитектуры и методы обучения представлений: metric learning, contrastive learning, self-supervised и supervised learning Строить датасеты и бенчмарки для оценки качества моделей и проводить масштабные экспериментальные исследования Адаптировать модели под задачи retrieval и рекомендательных систем Интегрировать модели в продуктовые механики рекомендаций постов, клипов, видео и музыки Оптимизировать и масштабировать обучение и инференс моделей Деплоить модели и сопровождать их в продакшене: проводить A/B-тесты, анализировать метрики и мониторить качество Постоянно разбирать свежие статьи и идеи из индустрии и академической среды, воспроизводить перспективные подходы и проверять их на наших задачах Настраивать пайплайны сбора и разметки данных, работать с асессорами и синтетическими данными: проектировать инструкции, контролировать качество и проводить калибровки Требования Опыт разработки, обучения и внедрения DL-моделей Уверенное знание теории машинного и глубокого обучения Хорошее понимание алгоритмов и структур данных, линейной алгебры, теории вероятностей и статистики Умение проектировать корректные эксперименты, выбирать метрики и интерпретировать результаты Навык написания чистого и поддерживаемого кода, понимание принципов проектирования ПО Владение современными практиками совместной разработки с кодовыми агентами: умение эффективно декомпозировать задачи для агентных инструментов, контролировать и ревьюить сгенерированный код Умение самостоятельно разбираться в новых предметных областях, быстро ставить эксперименты и проверять гипотезы Готовность работать как с исследовательской частью задачи, так и с её инженерной реализацией Открытость, ответственность, самостоятельность и проактивность Будет плюсом Опыт разработки поисковых или рекомендательных систем в индустриальном масштабе Опыт работы с embedding-моделями, metric learning, contrastive learning или representation learning Опыт работы с мультимодальными моделями, VLM, audio-language моделями, video encoders или foundation-моделями Опыт обучения моделей для аудио, музыки, речи, изображений или видео Опыт self-supervised learning и обучения на больших слабоструктурированных датасетах Опыт распределённого обучения на нескольких GPU или нескольких узлах Опыт оптимизации DL-моделей: профилирование, квантизация, дистилляция, уменьшение размерности представлений Опыт построения больших датасетов и систематических бенчмарков для ML-моделей Публикации на профильных ML-конференциях или сильный исследовательский бэкграунд

Location: Москва Workplace: Офисный Мы — отдел экспериментальных технологий в AI VK, который решает широкий спектр ML- и DL-задач. Наша команда анализирует, как наши разработки можно переиспользовать и где применить, а затем масштабировать. Задачи Развивать компоненты AI-ассистента для VK Видео: понимание намерения, удержание контекста диалога, выбор стратегии и маршрутизация инструментов Улучшать генерацию кандидатов, semantic retrieval и reranking для поиска и персонализированных рекомендаций Работать с гибридным поиском: эмбеддинги, текстовые и структурные фильтры, поисковые API, рекомендательные модели и явные критерии пользователя Оптимизировать candidate budget и смешивание кандидатов из разных источников Обучать и дообучать модели для отдельных компонентов системы: LLM-like, reranker, query rewriting, relevance-модели Собирать и улучшать обучающие и тестовые датасеты: реальные и синтетические запросы, сложные негативные примеры, long-tail-сценарии и размеченные диалоги Создавать и поддерживать golden datasets, human-aligned evaluation и автоматические проверки качества; калибровать auto-eval по человеческой оценке Анализировать деградации, формулировать гипотезы и проверять их в воспроизводимых экспериментах Оценивать модели не только по общей метрике, но и по отдельным сценариям, категориям запросов, релевантности, разнообразию, безопасности и качеству диалога Оптимизировать latency, стоимость и использование вычислительных ресурсов при обучении и инференсе Готовить компоненты к промышленной эксплуатации: интеграция, нагрузочное тестирование, мониторинг, обработка ошибок и контроль регрессий Участвовать в offline- и online-экспериментах, подготовке A/B-тестов и интерпретации продуктовых метрик Проводить code review, документировать эксперименты и участвовать в обсуждении архитектуры и исследовательских результатов Требования Сильная теоретическая база и опыт работы в рекомендательных системах, информационном поиске, NLP/LLM; готовность работать на их пересечении Понимание устройства retrieval и ranking: embeddings, candidate generation, negative sampling, cross-encoders, reranking Знание основных offline-метрик поиска и рекомендаций: Recall@K, Precision@K, NDCG, MRR и их ограничений Опыт обучения, валидации и внедрения ML-моделей; доведённые до production либо production-like среды самостоятельно разработанные компоненты Навыки постановки воспроизводимых экспериментов, анализа ошибок и статистической интерпретации результатов Понимание жизненного цикла ML-системы: данные, обучение, inference, мониторинг, деградации и переобучение Опыт работы с большими объёмами данных и пайплайнами обработки; YT, Spark или аналогичные инструменты Базовые навыки Linux, Git, контейнеризации и работы с сервисами Будет плюсом Опыт создания LLM-приложений: tool calling, agentic workflows, RAG, structured generation Дообучение LLM или encoder-моделей: SFT, LoRA/adapters, RL Построение lexical, semantic или hybrid retrieval LLM-as-a-judge, human evaluation, построение golden datasets и калибровка автоматических оценок Оптимизация GPU-инференса, batching, quantization, model serving Опыт с распределённым обучением и промышленной ML-инфраструктурой Практика A/B-тестирования рекомендательных или поисковых моделей Мультимодальные модели, VLM, понимание видео или рекомендательные системы для медиаконтента Наличие публикаций по тематике LLM, NLP, multimodal models

Location: Москва Workplace: гибкий Наша команда отвечает за базу знаний и агентов — это ядро платформы, с которым напрямую работают клиенты. Мы строим RAG-системы для корпоративных данных: от загрузки и индексации документов до поиска и генерации ответа. Мы также разрабатываем самих агентов, которые используют эти знания в рабочих сценариях. Задачи Руководить командой разработки направления RAG: отвечать за delivery, качество и стабильность сервисов команды Совмещать управление командой с разработкой — ориентировочно 50% времени работать hands-on Планировать работу команды, декомпозировать и оценивать задачи, управлять выполнением roadmap, багами и техническим долгом Осуществлять техническое лидерство команды: проводить технические проработки, определять архитектуру и технические решения внутри сервисов RAG, проводить code review Участвовать в проработке архитектурных решений на уровне платформы совместно с главным архитектором Разрабатывать и развивать сервисы на Python в области RAG и баз знаний Провести декомпозицию существующих компонентов RAG, реализованных на Ray.io, на отдельные сервисы и участвовать в переходе от текущей архитектуры на Ray к целевой сервисной архитектуре Развивать контур работы с данными и знаниями: загрузку и индексацию данных, парсинг и разбиение документов, embeddings, retrieval, reranking, vector DB, базы знаний и evaluation Отвечать за инженерное качество сервисов команды: тестирование, наблюдаемость, производительность, отказоустойчивость и стабильность в production Участвовать в L4-поддержке сервисов команды и инцидент-менеджменте Проводить people management команды: 1:1, performance review, развитие сотрудников, наём, проведение испытательных сроков Синхронизироваться с продуктовыми и техническими командами платформы по зависимостям и совместным задачам Требования Сильный опыт backend-разработки на Python и опыт самостоятельной разработки production-сервисов Опыт управления командой разработки и ответственность за её delivery Опыт технического лидерства: проектирование сервисов, проведение технических проработок, принятие архитектурных решений, code review Готовность совмещать роль Team Lead с активной разработкой руками Уверенное знание Python, asyncio и FastAPI Опыт работы с PostgreSQL и проектирования схем хранения данных Понимание принципов построения распределённых backend-систем, асинхронной обработки и взаимодействия сервисов Опыт проектирования и декомпозиции сервисной архитектуры, выделения отдельных сервисов из существующих крупных компонентов Опыт работы с брокерами сообщений, желательно NATS Опыт эксплуатации и развития production-сервисов, понимание требований к качеству, стабильности, наблюдаемости и производительности Умение организовывать работу команды: планирование, декомпозиция, оценка задач, управление техническим долгом и багами Опыт people management: развитие сотрудников, обратная связь, performance review и наём Будет плюсом Практический опыт разработки RAG-систем и сервисов баз знаний Опыт работы с retrieval, reranking, embeddings, индексацией, chunking и оценкой качества RAG Опыт работы с Ray/Ray.io и системами, построенными на нём Опыт работы с Qdrant или другими векторными базами данных Опыт работы с Elasticsearch/OpenSearch Опыт работы с Kubernetes Знание Go, опыт разработки сервисов на Go или желание его получить в будущем

Location: Москва Workplace: Офис Мы помогаем клиентам Yandex Cloud внедрять AI/ML-решения, которые дают измеримый бизнес-результат. Ищем Solution Sales Manager, который будет развивать территорию медиум-сегмента, формировать бизнес-сценарии и проводить демонстрации продуктов. Ждём, что вы работали в B2B-продажах IT-решений. Мы помогаем клиентам Yandex Cloud находить и внедрять AI/ML-решения, которые дают измеримый бизнес-результат. Работаем на стыке продаж, продуктов и технологий: разбираемся в задачах клиента, подбираем оптимальный стек, показываем продукты в деле и доводим перспективные сценарии до пилота, сделки и промышленного использования. Нашей команде нужен Solution Sales Manager для работы с клиентами медиум-сегмента финансовой и страховой индустрий, ритейла и логистики. Флагманский продукт направления — Yandex AI Studio, платформа для создания AI-приложений и агентов. В продуктовом стеке есть также AI-продукты и решения Яндекса: Yandex Search API, SpeechKit, SpeechSense, Нейроюрист. Основной фокус роли — рост облачного потребления AI-продуктов. При этом часть клиентов рассматривает гибридные и on-premises-решения, поэтому важно уметь работать с разными моделями поставки. Обязанности Развитие AI-бизнеса в медиум-сегменте Вы будете развивать большую территорию медиум-сегмента (сотни клиентов): находить перспективные компании и бизнес-сценарии, определять приоритетные аккаунты и формировать план развития AI-направления. Поиск бизнес-сценариев и подбор AI/ML-решений Вам предстоит погружаться в процессы клиента и находить задачи, в которых AI способен дать измеримый эффект: повысить качество клиентского сервиса, автоматизировать работу с обращениями и документами, ускорить поиск по корпоративным знаниям, помочь сотрудникам принимать решения, создать нового цифрового помощника. Демонстрации продуктов и подготовка пилотов Вы будете самостоятельно проводить демонстрации Yandex AI Studio и других продуктов по готовым сценариям, адаптировать их под отрасль и задачу клиента, объяснять возможности решения технической и бизнес-аудитории. Взаимодействие с продуктовой и технической командами Вы будете работать с техническими экспертами, архитекторами, продуктовыми командами, BizDev, Professional Services и партнёрами; передавать обратную связь рынка, рассказывать о потребностях клиентов и помогать совершенствовать продукты и материалы для продаж. Больше о том, что под капотом платформы Yandex Cloud, — в канале Inside Yandex Cloud Требования * Работали в B2B-продажах сложных IT-, cloud- или SaaS-решений более пяти лет * Применяли подход Solution Selling: можете пройти путь от бизнес-задачи клиента до предлагаемого решения, его ценности, экономики и следующего коммерческого шага * Можете развивать большую клиентскую территорию: сегментировать портфель, выбирать приоритетные аккаунты и вести несколько возможностей одновременно * Умеете проводить discovery, презентации и демонстрации продуктов для технической и бизнес-аудитории * Ориентируетесь в современном стеке для создания AI-приложений: LLM, tool calling и function calling, RAG, embeddings, vector search, MCP и т. д. * Понимаете основы речевых технологий: ASR, TTS, потоковую обработку речи, речевую аналитику и архитектуру голосовых агентов

Location: Москва; Санкт-Петербург Workplace: Офис, Гибридный Вы возглавите ML-команду и будете отвечать за разработку базовых технологий для AI-сервисов Yandex Cloud. Наш фокус — создание мультитенантных поисковых и классификационных моделей. Ждём, что вы разрабатывали и выводили в прод ML-сервисы с высокими требованиями к надёжности и производительности. Мы ищем опытного и проактивного лида, который возглавит ML-команду и будет отвечать за разработку базовых технологий для AI-сервисов Yandex Cloud. Основной фокус команды — создание мультитенантных поисковых и классификационных моделей и компонентов сервисов, которые предоставляются облачным пользователям как: * Standalone API (например, Embeddings API, Classification API) * Интегрированные функции в рамках OpenAI-like Responses и RealTime API (реализация RAG-сценариев, memory) * Технологическая основа для конечных продуктов (AI Guardrails, SpeechSense) Роль предполагает совмещение технического руководства и организационного управления небольшой распределённой командой, проектирование ML-систем, а также непосредственное участие в разработке. Мы предлагаем: * Прямое влияние на core-технологии AI-платформы Yandex Cloud * Высокий уровень технической автономии и свободу в выборе инструментов (активное использование и развитие опенсорса) * Возможность выстроить процессы и культуру в новой команде практически с нуля * Сильную R&D-команду и работу в кросс-функциональных v-teams над технически сложными и интересными задачами Обязанности Команда Вы будете управлять командой ML-разработчиков: проводить performance review, встречи 1-to-1, ставить цели, помогать разработчикам с карьерным развитием, наращивать знания и опыт команды. Понадобится декомпозировать продуктовые цели и превращать их в технический roadmap, формировать квартальные планы команды и отвечать за их реалистичность и стабильную сходимость. Разрабатывать и внедрять CI/CD для моделей, процессов код-ревью, тестирования и релизного цикла ML-артефактов. Представлять R&D-команды в рамках v-team, обеспечивать видимость и прозрачность деятельности R&D-команды, формировать технические требования и запросы к смежным командам (например, требования к данным и инфраструктуре). Разработка Вы станете отвечать за исследование и разработку SOTA-моделей для сценариев RAG (поиск, ранжирование), классификации (few-shot/zero-shot, guards) и памяти, а также их интеграцию в инфраструктуру инференса. Нас вас будет лежать прямая ответственность за метрики качества моделей, а также за производительность и стабильность бэкендов инференса (в том числе за логирование, мониторинги и покрытие кода тестами). Кроме того, вам предстоит лично участвовать в разработке: писать код (до 30¬–40% времени), проводить код-ревью, помогать с архитектурой и диагностикой проблем, готовить релизы моделей и бэкендов. Больше о том, что под капотом платформы Yandex Cloud, — в канале Inside Yandex Cloud Требования * Управляли ML-командой от одного года * Глубоко разбираетесь в современном ML (нейросети, трансформеры) с фокусом на NLP, Information Retrieval или Generative AI * Разрабатывали и выводили в продакшен ML-сервисы с высокими требованиями к надёжности и производительности * Уверенно владеете Python и PyTorch * Понимаете полный жизненный цикл ML-модели: от сбора требований и подготовки данных до эксплуатации в проде * Проактивны и способны самостоятельно формировать технический бэклог и roadmap, исходя из продуктовых целей Будет плюсом * Использовали опенсорс-проекты и контрибьютили в них (особенно в библиотеки для инференса, такие как TensorRT, TensorRT-LLM, vLLM, SGLang) * Работали с C++ и низкоуровневыми оптимизациями (CUDA) * Работали в распределенной команде * Умеете или хотите выступать на публике, писать технические статьи или вести блог, чтобы повышать внешнюю видимость команды и продукта

Workplace: Удалённый, Офис, Гибридный Плюс Фантех объединяет развлекательные сервисы Яндекса: Музыку, Кинопоиск, Книги и др. Мы — команда MediaAI — ищем сильного LLM‑разработчика. Вы будете отвечать за ключевое направление: ML‑интеграцию общего пользовательского профиля в продукты и AI‑агентов нашей экосистемы. Мы — команда MediaAI — ищем сильного LLM‑разработчика с опытом прикладных LLM‑систем для развития пользовательского профиля и LLM‑памяти сервисов Плюс Фантеха. Роль предполагает ответственность за ключевое направление: ML‑интеграцию общего пользовательского профиля в продукты и AI‑агентов нашей экосистемы. Ваши решения напрямую повлияют на то, как будет устроена персонализация сразу в нескольких сервисах. Обязанности Развивать сервис пользовательского профиля и LLM-памяти Вы будете проектировать и улучшать систему, которая хранит и извлекает пользовательский контекст. Это ключевой компонент для всех AI-агентов Плюс Фантеха: от рекомендаций до диалоговых сценариев. Улучшать качество запоминания и извлечения контекста Вам предстоит работать с embeddings, retrieval-механиками и промптами, чтобы система точнее понимала, что важно пользователю в данный момент. Проводить эксперименты с LLM и автоматическими метриками качества. Проектировать переиспользуемые механики интеграции Вы будете создавать механизмы, которые позволят разным продуктовым командам легко подключаться к профилю и памяти — без дублирования логики и с сохранением стабильности. Создавать автоматические оценки качества Вам предстоит разрабатывать и внедрять метрики и тесты для недетерминированных компонентов, чтобы можно было объективно оценивать, насколько хорошо система запоминает и извлекает информацию. Обеспечивать стабильность и безопасность Вы будете работать с производительностью, наблюдаемостью и безопасной обработкой пользовательских данных. Внедрять best practices асинхронной обработки и проектирования хранилищ. Больше об ML в Яндексе — в канале Yandex for ML Требования * Уверенно владеете Python * Имеете практический опыт интеграции с LLM * Понимаете embeddings, semantic search и RAG * Работали с базами данных и проектировали хранилища * Понимаете асинхронную обработку * Умеете тестировать недетерминированные компоненты и оценивать качество ML-функциональности * Способны самостоятельно разбираться в существующей системе и брать компонент в техническое владение Будет плюсом * Знаете Java * Имеете опыт разработки персонализации или рекомендательных систем * Знакомы с MCP и архитектурой LLM-агентов * Строили LLM-evaluation и проводили A/B-эксперименты * Работали с чувствительными пользовательскими данными