• Управление полным циклом разработки в кросс-функциональной команде (6–12 человек): от анализа бизнес-требований и проектирования до релиза и эксплуатации. • Формирование новых продуктовых стримов: найм, сборка команд с нуля и участие в разработке на этапе запуска.
• Разрабатывать и реализовывать CRO-стратегию для Amazon US с фокусом на рост конверсии и продаж; • Оптимизировать Amazon listings: заголовки, описания, изображения, видео и другие элементы карточек товаров;
Location: Москва
Мы ищем AppSec Technical Lead — сильного hands-on эксперта по Application Security, который будет техническим лидером команды из 3 AppSec-инженеров.
Вам предстоит развивать практики secure SDLC и DevSecOps, работать с SAST/SCA/DAST/MAST, развивать автоматизацию security-проверок.
Обязанности
### Вам предстоит:
* быть техническим лидером для команды AppSec-инженеров
* помогать команде принимать архитектурные и технические решения в области Application Security
* наставлять инженеров, помогать им развивать экспертизу в AppSec, DevSecOps, security code review и автоматизации
* проводить ревью технических решений, подходов к анализу уязвимостей, SAST-правил и security-автоматизаций
* участвовать в планировании работы команды совместно с Product Owner
* помогать приоритизировать задачи с учётом технических рисков, бизнес-контекста и загрузки команды
* быть единой точкой входа для PO продукта по вопросам AppSec: статусы, блокеры, риски, roadmap, технические ограничения и потребности команды.
* развивать интеграцию security-проверок в CI/CD
* разрабатывать и поддерживать правила для SAST-инструментов
* улучшать процессы работы с SAST/SCA/DAST/MAST: качество проверок, triage, отчётность, снижение false positives
* писать автоматизацию для интеграции сканеров, обработки результатов, обогащения находок и формирования метрик
* исследовать и тестировать новые инструменты проверки безопасности приложений
* помогать делать security-проверки более полезными для разработчиков и менее шумными для команд.
Требования
### Что для нас важно:
* опыт в Application Security от 4 лет либо сопоставимый опыт в разработке с последующим переходом в security
* практический опыт технического лидерства, наставничества или координации работы AppSec/security-инженеров
* глубокое понимание secure SDLC, shift-left security и DevSecOps
* практический опыт работы с SAST, SCA, DAST и/или MAST-инструментами
* опыт интеграции security-проверок в CI/CD
* опыт security code review на одном или нескольких языках: Java/Kotlin, Go, Python
* уверенное владение одним из языков: Python/Java/Go
* опыт работы с Bash
* глубокое понимание OWASP Top 10, OWASP ASVS и OWASP Mobile Top 10
* понимание современных архитектур: микросервисы, REST/gRPC API, Kubernetes, контейнеризация
* опыт анализа результатов сканирования, валидации уязвимостей, поиска false positives и приоритизации рисков
* практический опыт взаимодействия с разработчиками по исправлению уязвимостей
* понимание специфики безопасности мобильных приложений
* опыт работы с MAST-инструментами
* понимание типовых рисков мобильных приложений: insecure storage, insecure communication, неправильная работа с secrets, jailbreak/root detection, reverse engineering risks, certificate pinning, tampering
* опыт анализа Android/iOS-приложений будет преимуществом
* инструментальное владение AI для анализа, генерации и автоматизации.
Условия
### Мы предлагаем:
* комфортный современный офис
* офисный формат работы
* ежегодный пересмотр зарплаты, годовая премия
* корпоративный спортзал и зоны отдыха
* более 400 образовательных программ СберУниверситета для профессионального и карьерного развития
* программа адаптации и помощь руководителя на старте
* расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа
* гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ
* подписка Прайм с возможностью совместного использования на трёх близких
* вознаграждение за рекомендацию друзей в команду Сбера.
leadМосква
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Lunar is looking for a Team Lead Ongoing Due Diligence to lead ODD specialists, manage performance and quality, and oversee regulatory-risk escalations.
Location: Poland; Armenia; Azerbaijan; Georgia; Serbia; Estonia
Intetics Inc.
, a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced
Python Team Lead
to join our dynamic team on a full-time basis.
About the Client
Our client is an international provider of intellectual property services and technology solutions, helping businesses protect and manage innovations through patent translation, international filing, patent research, and renewal services.
About the Project
The project focuses on replacing complex, labour-intensive backend business processes with Python-based automation and LLM-powered solutions.
You will join as the first engineer and Team Lead of a growing contractor team, establishing the technical foundations and helping shape how the team works and delivers. You will collaborate closely with an AI & Automation Product Manager with experience at Meta, turning business challenges into practical solutions.
This is a hands-on leadership role requiring strong Python expertise, excellent communication skills, and the confidence to take ownership of problems from discovery through production.
Responsibilities
Lead the technical delivery of automation initiatives, taking responsibility for solution quality and delivery outcomes.
Work closely with the Product Manager and business stakeholders to understand existing workflows, clarify requirements, and define priorities.
Translate complex business problems into actionable technical plans and clearly scoped tasks.
Design and develop Python services, automated workflows, and integrations with existing systems and APIs.
Apply LLM capabilities where they provide measurable value, with appropriate validation and human review.
Establish engineering standards, development practices, and a collaborative team culture.
Guide and mentor engineers, delegate responsibilities, and provide constructive feedback and code reviews as the team grows.
Proactively identify risks, resolve blockers, and communicate progress and trade-offs clearly.
Lead technical discussions, handle disagreements constructively, and help stakeholders reach informed decisions.
Ensure solutions include appropriate testing, monitoring, error handling, and production support.
Requirements
Strong commercial experience building and maintaining production systems with Python.
Proven experience leading an engineering team while remaining actively involved in technical design and development.
Excellent interpersonal and communication skills, including active listening, constructive feedback, and effective conflict resolution.
Strong ownership: the ability to independently drive problems from initial investigation to a working production solution.
Experience collaborating directly with Product Managers and business stakeholders, translating business goals into technical delivery.
Ability to organise team workloads, delegate effectively, support engineers, and maintain accountability for commitments.
Experience delivering backend automation, system integrations, or solutions that replace manual business processes.
Practical experience integrating LLMs into applications or automated workflows.
Strong backend engineering fundamentals, including APIs, databases, data processing, and reliable error handling.
Experience with automated testing, Git, and production deployment practices.
Ability to work effectively with evolving requirements, make pragmatic decisions, and explain technical trade-offs.
Strong spoken and written English, sufficient to lead discussions, clarify complex requirements, and confidently challenge assumptions.
Nice to Have
Experience building a new engineering team or establishing delivery processes from scratch.
Experience interviewing and onboarding engineers.
Experience with document processing, information extraction, or document-heavy workflows.
Experience evaluating LLM outputs for accuracy, reliability, latency, and cost.
Experience with workflow orchestration, background jobs, and asynchronous processing.
Location: Remote: United States
Workplace: Remote
At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.
Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users.
Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.
We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.
APPLYING TO RENDER
We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.
We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.
Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.
ABOUT THE ROLE
How we build software is changing. Designers are prototyping in code, engineers are shipping polished interfaces, and agents are starting to build directly into the product. More people and more things can create software than ever before. That makes design judgment more important, not less.
We're looking for a Staff/Principal Founding Design Systems Lead to build that judgment into Render's foundations.
This isn't about maintaining a component library. It's about enabling designers, engineers, and agents to build experiences that look, feel, and work like Render, without a designer making every decision or the design systems team reviewing every change. At a company whose whole promise is a platform that just works, the design system is how we keep craft scaling as the product and the team grows.
This role starts hands-on. You're a designer first, with the technical depth to get into the code. You'll partner with the Head of Design to set the vision, then do the foundational work yourself: decide where or whether our Figma library lives and how it operates, get deep into what an AI-ready design system really means, and prototype, test, and ship the system in code. As the function grows, you'll build and lead the team around it. You're energized by building from the ground up, not inheriting something finished.
Here's what makes this role urgent and specific to us: our users are developers, and they're increasingly building with AI agents. That cuts both ways. Inside Render, teams reach for an agent before they check the docs — so a system that isn't legible to AI quietly gets bypassed, and quality drifts toward generic output. And externally, we're building the platform where developers deploy AI-native apps and agents. The person in this role treats the design system as infrastructure for humans, machines, and velocity and has a point of view on what that takes: machine-readable documentation, system rules exposed where agents can read them, an architecture that keeps the brand and accessibility layers ours, and evaluations that catch drift before it ships.
This role reports to the Head of Design.
THIS ROLE IS FOR YOU IF YOU'RE EXCITED BY:
Making great design reproducible, by people and agents. Raise the quality of Render's product and encode what makes it good, so a designer, an engineer, or an agent can produce coherent, usable experiences by default. The system should make excellent work easier, not make every experience look the same.
Reimagining what a design system can be. Build beyond components and tokens into composition rules, interaction patterns, agent-readable guidance, and evaluations, so the fastest way to build is also a path to great quality.
Building and leading a team that multiplies everyone else's impact. Start hands-on, then create the direction, ambitious goals, and caring-but-demanding environment that let a team do the best work of their careers.
The opportunity is to raise the floor for everyone building at Render, human or agent, while giving designers more room to make the most important experiences extraordinary.
WHAT YOU'LL DO
- Set the system's vision and direction. Decide what to preserve, evolve, simplify, or replace based on what builders and customers need — and turn that into focused work, much of which you'll do yourself at first.
- Build the foundations hands-on. Early on, you are the team: setting the architecture, shipping the components, writing the guidance, and establishing the quality bar through your own work before there's anyone to delegate to.
- Build and lead the team that owns the system. As the function grows, hire and develop it — set priorities and ownership, give direct feedback, hold a high bar, and help people do the best work of their careers.
- Elevate Render's visual and interaction design. Raise the bar for typography, hierarchy, density, motion, responsive behavior, accessibility — and the states beyond the happy path, which is where developer tools earn their reputation.
- Make the system legible to AI, not just humans. Lead the work to make Render's design system AI-ready: machine-readable documentation, system rules and tokens exposed where agents can reach them (e.g. via MCP), and an architecture that shrinks the context an agent needs while keeping the brand and accessibility layers ours. The goal: agents building on Render produce on-brand, compliant work by default.
- Guide technical architecture with engineering. Shape everything from components and tokens to how agents discover guidance and check their work. Make sound tradeoffs between flexibility, coherence, performance, and ease of use — layered and headless where that scales better than rigid bundles.
- Define and measure quality, including AI output. Build repeatable evaluations grounded in real tasks — testing generated output against the system's standard, not just whether people use the tools.
- Earn adoption. Work alongside product teams, teach through examples, and turn recurring questions and exceptions into improvements. A system lives or dies on whether people, and their agents, reach for it.
- Keep moving as the ground shifts. Experiment as models and tools evolve, share what you learn, and change direction when the evidence calls for it.
WHAT WE'RE LOOKING FOR
- A track record of setting direction and delivering outcomes in design systems or design engineering — and the appetite to build a function from the ground up before leading a team. You create clarity in ambiguity, make decisions, give difficult feedback, and keep momentum without dropping the quality bar. Experience leading or developing designers/design engineers is a strong plus, as this role grows in that area.
- Exceptional visual and interaction design skills. Your work shows a clear point of view, detail that borders on obsessive, and an ability to make complex experiences feel simple — the kind of craft other practitioners admire.
- Deep systems thinking, and experience building systems other teams actually adopt. You can show how your work improved both their speed and the quality of what shipped — not just that it existed.
- Strong technical fluency. You can prototype and build in code, understand front-end architecture (component API design, tokens, theming, layered/headless patterns), and work through implementation tradeoffs with engineers — not just hand off specs.
- Hands-on use of AI in your work, and a real point of view on AI-ready design systems. You understand where AI helps and where it fails, how to improve its output rather than accept it, and what it takes for a system to serve machines as well as humans. You don't need to have shipped all of it, but you should be able to say where you'd start and why.
- Strong product judgment and developer empathy. You stay close to the people who use what you build and connect system decisions to real workflows and outcomes. Fluency with developers and technical products is a strong plus — our users are engineers, and the system has to serve them and the agents they build with.
NICE-TO-HAVES
- Experience building developer tools, cloud platforms, or infrastructure products where UX is a competitive advantage.
- Hands-on experience making a design system AI-ready: machine-readable documentation, MCP or similar agent access, layered/headless architecture, or evaluation frameworks for AI-generated output.
- Experience building developer or designer tools that became part of other teams' daily workflow.
- Experience leading a major design-system migration or a company-wide change in how teams build.
- Experience evolving a system across platforms, or connecting product and brand experiences.
- Founder or early-stage startup experience.
If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.
BENEFITS
- 4 weeks of paid vacation.
- 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.
- Long-term disability, life insurance, and 401K plans.
- 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.
- Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
- Monthly cell phone and internet subsidy.
- Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.
- Continuous learning benefits & related support.
This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization.
Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
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.
We encourage all who are interested to apply. We can't wait to hear from you!
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Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Beneficial Deployments team brings Claude to organizations doing some of the world's most important work across the nonprofit and education sectors. These organizations share a problem: mission-critical work, thin budgets, and little slack to figure out new technology on their own. Our Customer Success team helps them go from first login to Claude being part of how their teams work, but we cannot do that one organization at a time, nor should we. The sector already has trusted intermediaries these organizations turn to first: networks, capacity builders, funder technical assistance providers, community colleges, and fellowship programs. This role exists to make those intermediaries as effective at activating and training organizations on Claude as our own Customer Success team is.
As the Scaled Enablement Lead, you'll build the Claude for Nonprofits train-the-trainer program that qualifies intermediaries to onboard organizations and deliver Anthropic-designed workshops on our behalf. You'll own the kits, credentials, and quality gates that let them run the show without an Anthropic CSM in the room. You'll also own the enablement thinking behind scaling impact through
Claude Corps
: how what fellows learn and build serves every organization we support, not only the ones that host them.
The people you enable are not selling Claude. They are trainers, implementers, and program staff whose job is to help mission-driven organizations meaningfully adopt AI. Your job is to make sure these intermediaries can do that with Claude, to the same bar we hold ourselves to, and to help them evolve their offerings as we learn what these organizations need. The measure of success for this role is organizations activated and trained well without Anthropic delivering it.
You'll be half program builder, half facilitator. You'll design and deliver the first cohorts yourself, then make the system repeatable: kits, qualification paths, credentials, teach-back gates, and a refresh rhythm that keeps content current as our products change. You'll build on the operating model and certification infrastructure of Anthropic's Education team and own everything specific to this audience, working closely with Beneficial Deployments Customer Success, Partnerships, Claude Corps program leadership, and our Education teams.
This is not a partner account management or alliances role, and it carries no quota. It is not a book-of-business Customer Success role either, though you'll spend time with organizations to stay grounded in what these nonprofits truly need. The role reports to the Customer Success Lead for Beneficial Deployments, has no direct reports today, and may grow into people management as the program scales. Expect periodic travel for in-person cohorts and sessions.
Key responsibilities:
Own the Claude for Nonprofits train-the-trainer program end to end: its tracks, the qualification path for each, the credential, and recertification
Build the kits intermediaries teach from: an activation playbook covering kickoff, admin setup, launch, and Day 30/60/90 reviews, and workshop-in-a-box modules starting with AI fluency and use case discovery, each with a deck, facilitator guide, demo scripts, sample data, and workbook
Recruit and qualify a pilot cohort of anchor intermediaries, then open a repeatable application process that routes each to the right track and the right home, whether the Claude Partner Network or a Beneficial Deployments credential
Design and deliver enablement for network intermediaries, adapting the program to how each reaches and supports its members, and help them evolve their offerings as we learn what organizations need
Build the connective tissue among intermediaries so they learn from each other: shared office hours, a facilitator cohort that stays together after qualification, and a clear path for bringing new intermediaries along
Support the enablement thinking for Claude Corps: how we extend the reach of fellows and the organizations around the program, and how what they learn feeds back into the enablement every customer receives
Hold the quality bar when Anthropic is not in the room through teach-back gates, graded mock sessions, shadowing, and session satisfaction and activation quality at or above Anthropic-led benchmarks
Run the program as one system: content intake and refresh calendar, production standards, resource hub organization, learning management system courses and assessments, and the agreement and attribution model for intermediaries acting on Anthropic's behalf
Own the program's numbers, including approved trainers, collaborator-led activations and workshops, the Anthropic effort required per organization activated, and quality against benchmark, and use them to decide where the effort goes next
Be the field voice for intermediaries inside Anthropic, bringing what they learn back into our enablement content, product feedback, and engagement model
Minimum qualifications:
7+ years of experience
in enablement, training, or program management
Train-the-trainer at scale.
You have built and run a program that qualified other people to deliver your training consistently without you in the room: a certified facilitator network, a partner or community education program, or an instructor credential.
Learning design and delivery.
You have designed adult learning experiences end to end, including curriculum, facilitator guides, and assessments, and delivered them live
Nonprofit ecosystem fluency.
You have worked with or inside the intermediaries that reach mission-driven organizations (networks, capacity builders, funders, technical assistance providers) and understand how they influence adoption
Hands-on proficiency with AI tools.
You use Claude and/or other AI tools in your day to day and understand their impact firsthand
Preferred qualifications:
Comfort being the single owner of a program while depending on teams you do not manage
Ownership of, or close partnership with, a certification or badging program, including assessment design and recertification
Experience with Skilljar or another learning management system, and with partner portals or resource hubs
Facilitation of change management or AI fluency programs for non-technical teams
Time at a capacity-building organization, an intermediary, or an edtech or technology company serving the sector
Experience leading work through contractors or vendors while keeping several programs coherent
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:
$265,000
—
$320,000 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
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs.
WHAT YOU’LL DO
- Design and build a structured onboarding program for new Account Executives and Sales Engineers, with role-specific tracks
- Deliver onboarding live and asynchronously: cohort sessions, workshops, certifications, and role-plays
- Introduce what AI Fluency means at Sierra and how to incorporate it into daily sales activities (account research, call prep, call recaps, pipeline updates, etc.)
- Make sure every seller can explain, demo and stand behind how Sierra uses AI, so they can speak credibly with customers who are learning to deploy AI themselves
- Establish baseline ramp metrics (time to first meeting, first deal, quota attainment, SE readiness) and set targets for reducing them
- Use AI tools to scale enablement itself: faster content creation, AI-driven role-play and call coaching, and self-serve answers to seller questions
- Partner with Product, Marketing, Sales Leadership, and Sales Engineering to keep content accurate as the product and market change
- Recruit subject-matter experts, including top sellers and SEs, to teach and coach in the program
- Gather feedback from new hires and managers, and iterate on the program quarterly
- Build the global program so it can be adapted for regional teams, including our London office
WHAT YOU’LL BRING
- 6+ years in sales enablement at a high-growth B2B software company, with hands-on onboarding or training experience and experience managing cross-functional programs
- Experience designing and delivering onboarding for both quota-carrying sellers and technical sellers
- Track record of prioritizing competing requests from senior stakeholders and saying no with data
- Track record of tying enablement work to business outcomes, not just completion rates
- Strong facilitator, comfortable teaching experienced sellers and executives
- Willing to do the hands-on work in the early months, not just manage it, and comfortable building from scratch with limited process and few resources
- Able to learn a technical product ([AI agents / enterprise software]) well enough to teach it credibly
- Hands-on, daily use of AI tools in your own work, and experience teaching others to adopt new tools and change how they work
EVEN BETTER…
- Experience running sales kickoff or product launch enablement
- Experience selling or supporting sales in AI, SaaS, or enterprise software
- Familiarity with enablement platforms (e.g., [Highspot, Seismic, Salesforce, Gong])
- Experience running onboarding through rapid headcount growth, or handing a program to a successor
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits
- Lunch, as well as delicious snacks and coffee to keep you energized when working onsite
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description.
Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy.
We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.
- Оптимизация и масштабирование LLM-инференса (SGLang, vLLM, TensorRT-LLM). - Работа с моделями до 1T+ параметров и распределённой GPU-инфраструктурой.
Location: Tbilisi, Georgia
Workplace: remote
Join Our Vision: We are building the next generation of Spatial Media - a new way people experience videos through interaction, multi-user presence, haptics, AI, and immersive storytelling.
DeoVR is the leading immersive streaming technology serving multiple enterprise customers and millions of users globally.
We are now expanding the boundaries of what video can be - moving from passive watching to active, interactive, multi-user journeys.
If this excites you more than it scares you, you are in the right place.
The Role
We’re looking for a strong Head of Product Analytics who can combine strategic ownership with a very hands-on approach. This is not a pure management role - we expect someone who is individually strong enough to operate at a Senior Product Analyst level and enjoys working deeply with data.
We need someone who sees analytics as a product function, not just reporting. Someone proactive, curious, and opinionated. A person who can help shape product decisions, uncover growth opportunities, build reliable tracking systems, and turn data into actionable insights.
What You Will Do
Own and develop the product analytics function
Work closely with Product, Engineering, and Leadership teams
Proactively identify what should be analyzed, validated, or challenged — without waiting for requests from Product or Leadership
Run deep product analysis to identify opportunities for growth and optimization
Drive product decisions with data, not just respond to ad-hoc requests
Design event tracking from scratch and maintain scalable, reliable analytics instrumentation
Own data quality and metric consistency across the product
Improve and optimize the DWH layer, including data modeling and performance optimization
Build and maintain dashboards and analytical layers
Develop product metrics, frameworks, and measurement approaches
Help teams make faster and better product decisions through data
What We Are Looking For
Strong experience in product analytics at Senior or Lead level
Very hands-on mindset - comfortable digging into data yourself
Advanced SQL skills and experience writing complex, optimized queries
Strong Python skills for analytics and data processing
Solid experience with BI tools - we use Tableau
Experience building event tracking systems from the ground up
Strong understanding of DWH design and optimization
Strong understanding of A/B testing methodologies, including bootstrapping, sequential testing, multi-armed bandits, and causal inference
Real hands-on experience applying ML approaches to analytics and product problems
Product mindset and ability to translate data into meaningful business and product insights
Bonus Points
Experience with video streaming products
Experience working with recommendation systems
Experience optimizing product funnels and user journeys
Experience in fast-growing product companies
Hiring Process
HR screening (30 min)
Tech Interview (1 hour)
Product Team Interview (1 hour)
CEO Interview (45 min)
💼
Explore our hiring process
.
What We Offer
Please note, that this is a fully remote contract role. B2B cooperation only – you will work with us as an independent contractor operating through your own legal business entity (e.g., sole proprietorship, limited company, or equivalent).
The chance to be part of a pioneering team in a rapidly evolving industry
Direct impact on the future of media and technology
Flexible working hours to accommodate your lifestyle
Work remotely from almost anywhere
A culture that values innovation, accountability, and collaboration
Access to the tech you need from day one
Unlimited DeoVR Premium subscription
A dynamic and innovative work environment in a cutting-edge industry
🎥
Unlocking Immersive Experiences
:
Ivan Varko’s vision, CEO of Infomediji.
STAY CONNECTED
Join our
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to connect with like-minded people. Join us and embrace a role where your expertise meets technological innovation.
• Есть 7+ лет в Android-разработке, опыт в продуктовой компании и на высоконагруженных проектах / продуктах с большой аудиторией. • Есть опыт управления командой разработчиков.
ГибридleadЛитва
УдалённоleadPoland; Armenia; Azerbaijan; Georgia; Serbia; Estonia