Location: Lisbon, Portugal
Joom Group is an international tech-centric group of e-commerce companies founded in 2016 in Latvia. We are here to transform the largest industry in the world, global trade, making it more transparent, efficient, and technology-driven.
Today, Joom Group brings together the following businesses: Joom, a platform for shopping from all over the world; JoomPro, the first end-to-end cross-border B2B marketplace, with successful operations in Brazil and plans to expand to other markets; JoomPulse, data platform that provides analytics and recommendations for marketplace sellers; and Onfy, a pharmaceutical marketplace in Germany. Joom Group’s offices are located in China, Brazil, Portugal, Latvia, and Germany, with headquarters in Lisbon, Portugal. We work as one international team, sharing knowledge and collaborating across countries, businesses, and products.
As we continue to grow and introduce new products and services, we become increasingly susceptible to security threats. We are currently seeking an
Application Security Engineer
for our infrastructure team to stay informed about current threats and ensure the security of our development and applications.
This role offers the opportunity to develop the application security direction from the ground up and achieve international certification.
We prioritize innovation over bureaucracy and legacy code and are always open to fresh ideas.
Responsibilities
Implement SSDLC with the development team
Analyze the security of the company's products
Assist teams in addressing vulnerabilities
Stay informed about current threats and develop code protections
Requirements
3+ years of experience in web/mobile application security
Experience in securing mobile and web applications
Experience in building secure development processes (SSDLC)
Experience with white box testing
Knowledge of *NIX systems and basic network protocols
Preferred
Experience in bug bounty programs
Relevant information security certifications (e.g., OSCP, CompTIA Security+)
CVE authorship
Proficiency in Go, Python, or Java
We offer
Compensation package: base salary and performance-based bonuses
Office-first: flexible hours with a possibility to work remotely 52 days per year, and 22 days of paid annual leave
Care & Wellbeing: health insurance (including dental care) for employees and their children, daily meal allowance, and 100% paid sick leave
AI-first approach: licenses and access to a wide range of AI tools
Team & Growth: collaboration with colleagues across Portugal, Brazil, Latvia and China, with opportunities for promotions, professional trainings, and English courses
Community & Engagement: annual team building activities, knowledge-sharing workshops, and a strong sense of team work
B
efore applying for the above position please review our Candidate Privacy Notice
here
. By responding to the vacancy, you acknowledge that you have read our Privacy notice.
Location: Remote, Poland
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Backend Engineer on the Plan: Spec-Driven Development team, you'll help build GitLab's intent-to-code loop: agentic workflows that turn a stated intent into a refined work item, an implementation plan, and verified, mergeable code. You'll own early-stage backend work across the flows, application programming interfaces, data models, and evaluation systems behind this experience, using Ruby on Rails, Python, PostgreSQL, GitLab Duo Agent Platform, large language model application programming interfaces, and an artificial intelligence gateway.
You'll join a small, distributed team working on one of GitLab's highest-visibility product bets, collaborating with design partners toward a public beta. In your first year, you'll lead major features from an unclear problem through release, help shape scope with product and users, mentor other engineers, and influence technical decisions across agent workflows and evaluation methods.
What you’ll do
Lead backend features from early product discussions through technical design, implementation, rollout, and post-launch learning.
Build the flows, application programming interfaces, and data models behind agent-generated work items, implementation plans, durable specifications, and mergeable code.
Develop evaluation and benchmarking systems that measure workflow quality, token cost, and success rate.
Use Ruby on Rails and Python to build reliable production systems, with PostgreSQL, GraphQL, representational state transfer, GitLab Duo Agent Platform, large language model application programming interfaces, and an artificial intelligence gateway.
Collaborate directly with product, design, engineers, design partners, and users to shape scope and make practical trade-offs.
Coordinate multi-person projects across the team and communicate decisions clearly in GitLab's asynchronous, all-remote environment.
Mentor other engineers and contribute to technical direction across the Plan group and related artificial intelligence initiatives.
Work in short iterations, share progress through demos, and use results and user feedback to guide what comes next.
What you’ll bring
Strong Ruby on Rails experience in a large production codebase and production experience with Python.
Experience driving substantial projects with several engineers over multiple months, with clear user or business outcomes.
A product mindset and experience owning features end to end, including shaping scope, making trade-offs, engaging with users, and learning from adoption after launch.
A full stack background with a current focus on backend engineering, plus the ability to read modern frontend code and design effective APIs.
Strong application programming interface design and structured query language fundamentals.
Experience exploring artificial intelligence-assisted development.
The ability to work independently, collaborate across functions and regions, and support others through technical leadership and mentoring. Experience with GraphQL, PostgreSQL performance at scale, or building and evaluating large language model or agent systems is helpful but not required.
We welcome candidates with different backgrounds and transferable experience. If you're excited about the role but don't meet every qualification, we encourage you to apply.
About the team
We are a team of four engineers, with two backend and two frontend engineers across Canada and Europe. You'll work in an all-remote, async-first environment with weekly sync calls, retrospectives, demos, and short iterations. This is early-stage work with broad ownership, space for creativity, and a fast pace. For more about our team and its work, see
Plan Team Handbook Page
and
Spec-Driven Development Initiative
The base salary range for this role’s listed level is currently for residents of the EU, applicable in the specified country or countries only. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location and having regard to any applicable collective agreements. The base salary range does not include bonuses, equity, or benefits.
Poland base salary range: 272,000 - 408,000 PLN
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Remote - Global
Workplace: Remote
About the company
Trust Wallet is the secure, self-custody Web3 wallet that empowers people to own and control their digital assets. Whether you're new to crypto or an experienced user, Trust Wallet makes it easier, safer, and more convenient to explore Web3, securely access dApps, manage your crypto, and buy and sell digital assets, all in one place.
ABOUT THE ROLE
As a Senior Data Engineer, you will play a key role in building and scaling the data platform that powers analytics across Trust Wallet. You'll be responsible for designing, developing and maintaining data pipelines and data models, ensuring a seamless, scalable and reliable flow of data from source systems through to the decisions it supports. Leveraging your experience with Databricks and Spark across both streaming and batch workloads, dbt or a similar transformation framework, cloud infrastructure, and custom solutions in Python, you'll work closely with our data analysts and engineering teams to turn data into a strategic asset for our company.
KEY RESPONSIBILITIES
- Data Platform Engineering: Architect and maintain robust, scalable and secure data infrastructure on Databricks, covering both streaming and batch workloads.
- Data Pipeline Development: Design, develop and maintain data pipelines, primarily in Python and Spark, to automate ingestion and transformation across internal systems, external providers and on-chain sources.
- Data Modelling: Design and maintain dimensional data models and transformation layers in dbt, with tests and documented contracts, so metrics are consistent and reusable across the company.
- Data Lake Management: Oversee the data lake and lakehouse layers, ensuring efficient storage, effective partitioning, high data quality, and monitoring and alerting that surfaces issues early.
- Integration and Customisation: Integrate Databricks with a wide range of data sources, including change data capture from operational databases, third-party APIs and blockchain data, and adapt data flows to specific business needs.
- Performance, Scalability and Cost: Optimise pipelines and storage for performance, reliability and cost efficiency at scale.
- Data Governance and Security: Apply best practices for governance, security and compliance in cloud and Databricks environments, including access control, encryption and monitoring.
- Collaboration and Documentation: Work closely with platform engineers, data analysts and other stakeholders to understand data requirements, and document infrastructure, models and best practices.
REQUIRED QUALIFICATIONS
- Experience in Data Engineering: 3+ years as a Data Engineer, with hands-on ownership of production pipelines and lakehouse or data warehouse architecture.
- Databricks and Spark: Strong practical experience with Databricks, Delta Lake and Spark, including both streaming and batch processing, and the judgement to choose between them.
- Data Modelling: Solid understanding of dimensional modelling, slowly changing dimensions and data warehouse design, with the ability to define and defend the grain of the models you build.
- Transformation Frameworks: Experience with dbt or an equivalent framework for managing transformations, testing and lineage.
- Cloud Proficiency: Strong cloud fundamentals, including identity and access management, object storage, networking and infrastructure as code. We run on AWS; deep experience with Azure or GCP transfers well.
- Proficiency in Python and SQL: Comfortable writing production transformations as well as services and connectors.
- Data Quality and Governance: Experience implementing testing, monitoring and governance practices in cloud data environments.
PREFERRED SKILLS
- Experience with change data capture and replication from operational databases
- Familiarity with blockchain or on-chain data
- Infrastructure as code, ideally Terraform, and CI/CD for data workloads
- Experience with BI and semantic layers such as Holistics, Looker or similar
- Containerisation and orchestration (Docker, Kubernetes)
ADDITIONAL INFORMATION
This is a global and fully remote role. You must have the right to work for the country you are based.
WHY WORK AT TRUST WALLET?
- Be a part of the world’s leading blockchain ecosystem that continues to grow.
- Excellent learning and career development opportunities.
- Work alongside diverse, world-class talent, in an environment where learning and growth opportunities are endless.
- Tackle fast-paced, challenging and unique projects.
- Work in a truly global organization, with international teams and a flat organizational structure.
- Work fully remotely with flexible working hours.
- Enjoy competitive salary and benefits.
Apply today to join our team in building the world’s most trusted and secure crypto wallet and enable a decentralized future for everyone.
Trust Wallet is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
*Due to the large amount of the applications, please consider your application as unsuccessful should you not be contacted within 4 weeks from your application date.
Location: Stockholm; London
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Why this role?
In this role as a founding Solutions Architect for Cohere in the Nordics, you will play an instrumental part in growing Cohere’s business in both the Nordics territory and the wider European region. You will partner with account executives, partners, and our executive leadership team to communicate and demonstrate the value of our technology to the market, and build on the success of our flagship customers, like Saab, TKMS and Thales.
SAs at Cohere sit at the cross-section of Forward Deployed Engineering and AI transformation. Our SAs embody the following traits:
- Technical experts in the field
- Trusted advisors to customers and colleagues
- Product evangelists of Cohere technology
- Thought leaders in pushing the frontiers of applied AI
Responsibilities include developing a deep understanding of customer problems, mapping them to Cohere solutions, and working closely with our partners as the trusted technical advisor who owns the technical relationship with our stakeholders. By leveraging your expertise, you will help to increase the adoption of Cohere products, both internally and externally, and will gather valuable insights and feedback from customers to help shape the future of our products.
In this dynamic and demanding role, you will need to be both a strategic thinker and a builder. You will personally lead the design and deployment of customer pilots that showcase the impact of our technology to strategic enterprise and government customers.
As the technical relationship owner, you will collaborate with stakeholders to understand their business objectives and translate those into our technical solutions. You will take ownership of the customer narrative, serving as the voice of the customer and acting as a liaison between the customer and our product team. Additionally, you will provide guidance on best practices for using Cohere, identify areas for improvement within the platform, and cultivate technical champions within customer organizations to drive adoption and gather feedback to enhance our products.
A typical day at Cohere might include:
- Leading the technical talk track on customer calls.
- Designing enterprise architectures for North deployments.
- Deep dives on customer queries and Cohere technology.
- Facilitating customer evaluations and pilots.
- Developing and documenting processes to enable the solutions architect team and adjacent teams to scale effectively within Cohere.
- Collaborating with the Product and Engineering teams to ensure our offering matches the customers’ needs.
- Working closely with our partners to develop a strategy for enabling and accelerating their customers.
This might be for you if you have some of the following:
- 3+ years of customer-facing technical pre/post sales Solutions Architect/Solutions Engineer/Sales Engineer/Digital Strategy Consultant (or similar) experience.
- A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLMs and AI technologies.
- Familiarity with foundational ML concepts (training, evaluation, etc.)
- Excellent communication skills - you can toggle seamlessly between presenting to CEOs, and getting in the weeds with technical audiences.
- Thrives within ambiguous and uncharted environments
- You can identify and implement high-impact processes in unstructured environments.
- Comfortable working with Python and Assistive Coding tools
- Preferred: 2+ years architecting, deploying or consulting on NLP/AI/LLM Solutions
- Preferred: Fluency in Swedish, Danish or Norwegian
- Must have: Professional fluency in English (business and technical)
Please note: for this role we are open to a range of experience levels, from Associate to Staff-level Individual Contributors (ICs). Experience level stated is a bare minimum.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Milan, Italy
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
As an Applied AI team member at Anthropic, you will be a pre-sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.
Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
Responsibilities:
Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success
Support customers building with both the Claude API and Claude for Work
Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
Identify common integration patterns and contribute insights back to our Product and Engineering teams
Travel occasionally to customer sites for workshops, technical deep dives, and relationship building
Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
You may be a good fit if you have:
5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
Native or C1 Italian speaker with fluent English proficiency
Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
Experience designing scalable cloud architectures and integrating with enterprise systems
Comfortable with python
Familiarity with common LLM frameworks and tools or a background in machine learning or data science
A love of teaching, mentoring, and helping others succeed
Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Задачи:
— Ручное тестирование веб-приложений и бэкенд-сервисов
— Тестирование интеграций: WhatsApp API, GPS-трекинг, Проверка LLM-фич
— Автотесты API и E2E, встраивание в CI/CD
— Выстраивание QA-процесса с нуля
Требования:
— От 4 лет в QA: ручное + автоматизация
— REST API, Python (pytest, Playwright)
— SQL / PostgreSQL
— Linux, Docker, Git, CI/CD
— Первые 3–6 месяцев ~60–70% ручного тестирования, дальше сдвиг в автоматизацию.
Условия:
— 1'000'000 тенге
— первый выделенный QA в команде
— Офис на территории АУЭС университета в Алматы
Location: San Francisco; Palo Alto
ABOUT PERPLEXITY AI
In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.
As an engineer at Perplexity, your role will be to build products and systems that define how AI empowers humans to think, decide and act. You’ll ship fast and work between both product and infrastructure advancements in our technology.
WHY PERPLEXITY IS DIFFERENT
- Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
- Ownership. You identify the problem, design the solution and ship it.
- Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
- Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
- Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
ABOUT THE ROLE
Perplexity is looking for a deeply technical software engineer to own and evolve our model serving platform, which is responsible for connecting our products and research systems with our inference layers. This mission-critical system gives teams one fast, reliable interface across providers.
You will work at the intersection of distributed systems, AI products, and infrastructure. You will make it dramatically easier for teams across Perplexity to adopt new models, run rigorous experiments, and ship dependable products.
The ideal candidate combines sound technical judgment forged in production systems with active curiosity around the rapidly changing capabilities and failure modes of frontier models. You will design core abstractions, lead high-conviction technical decisions, and write production Rust and Python for a service that serves hundreds of millions of model requests per day.
REQUIRED QUALIFICATIONS
- 5+ years of experience building and shipping large-scale systems and services with high reliability, availability, and performance.
- Strong software engineering craft, with special care for developer experience and designing future-proof systems that can evolve along with a rapidly advancing AI landscape.
- Proficiency with a general-purpose backend language (Python, Rust, C++, Go) and cloud infrastructure (AWS, Kubernetes).
- BS, MS, or PhD in Computer Science, Engineering, or related fields (or equivalent experience).
Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA
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
As a Staff Software Engineer on the GTM AI Engineering (Claudification) team, you will build the agents and AI systems that run Anthropic's own go-to-market work. Our sellers already work alongside agents every day. You will take things to the next step and build agents that run complete autonomous motions across areas like inbound, outbound, and pipeline management. In addition, you’ll build eval frameworks that prove those agents are ready for customer-facing work and are driving value. This is a senior role where you’ll drive technical direction for agents and evals across our team.
Working closely with sellers, RevOps, and our platform engineering partners, you'll own projects from first prototype through production operation. You'll combine full-stack engineering (MCP servers, agentic systems, web applications, etc.) with hands-on evaluation work (behavior benchmarks, production monitoring, ROI measurement), and help architect the shared platforms that builders from across our go-to-market org contribute to. You've worked in cultures of analytical rigor before, and you're eager to help shape the norms and best practices of a growing AI engineering function at a pivotal moment in the company's growth.
Key responsibilities
Build and operate autonomous agents that run go-to-market motions end to end, across areas like inbound, outbound, pipeline management, and customer engagement
Design the human oversight for each motion: approval gates, handoffs, and escalation paths that keep sellers in control
Develop evaluation frameworks for agent behavior, and run them in development and in production
Instrument model and tool calls in production, and build the observability and measurement that ties agent actions to pipeline and revenue
Ship MCP servers, agent skills, and web applications that connect to systems like our CRM, communication tools, and data warehouse
Set the technical direction for how we build, evaluate, and operate agents across the team
Architect shared codebases that builders from across go-to-market contribute to, setting the conventions and review practices that keep quality high
Work directly with sellers to ground agent designs in real workflows, and iterate based on what you observe
Identify repeatable patterns and contribute insights back to Anthropic's Product and Engineering teams
Maintain strong knowledge of the latest developments in LLM capabilities, agent frameworks, and evaluation techniques
Minimum qualifications
Strong programming skills in Python or TypeScript, with experience building and operating production applications
Production experience with LLMs, including context engineering, agent development, MCP development, tool use, and evaluation frameworks
Experience using evals and transcript analysis to find and fix real problems in an LLM system
Working fluency with data, including SQL
Ability to navigate ambiguity and ship without a spec, finding simple solutions to complex problems
Passion for advancing safe, beneficial AI, and care for the people who use what you build
Preferred qualifications
8+ years in roles such as software engineer, ML engineer, or forward deployed engineer. Former technical founders are encouraged to apply
Experience with the Claude Code and the Claude Agent SDK
Experience with go-to-market systems (CRM, sales engagement, enrichment, conversation intelligence) or time working closely with a revenue team
Experience growing a codebase that many people contribute to, inner-source or open-source
Applied ML and experimentation background: A/B testing, propensity models, recommendations, or causal analysis
Exceptional communication skills to convey technical concepts to non-technical partners with low ego
Representative projects
(Illustrative of the kind of work, not a project list.)
Build an agent that takes a routine sales workflow from first signal to a drafted, human-reviewed action
Stand up the eval suite for an agent: seed scenarios, scoring rubrics, and regression runs on every change
Ship an MCP server that gives sellers and their agents governed access to a core revenue system
Design a shared repository where go-to-market builders publish agents and skills, with the tests and review rules that keep it healthy
Build a predictive model that explains itself, so an agent can tell a seller why it suggests an action
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:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA • New York, NY • United States
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
Figma is building its founding Forward Deployed Engineering team to solve the complex, real-world challenges that emerge when bringing Figma’s products into large-scale enterprise environments and looking for founding Forward Deployed Engineers. As a Forward Deployed Engineer, you’ll embed directly with strategic customers, working across their codebases, design systems, developer environments, and workflows to make Figma’s products successful within their unique technical constraints. You’ll tackle the hardest adoption challenges hands-on, from complex frontend stacks and legacy systems to security and access requirements, while building trusted partnerships with customers’ senior engineering teams.
This is a senior/staff-level engineering role within Product and Engineering, not a sales or services function. You’ll work directly in customer environments when needed, using the minimum access required. Your goal is smooth adoption by the customer’s product and engineering teams, which means making complex workflows work simply in their environment and solving the underlying problems You’ll do that hands-on, often by writing Figma product code, then turn what you learn into a reusable path for future customers instead of taking permanent ownership of the customer’s codebase. Working closely with Figma’s Product, Engineering, Sales, and Customer Experience teams, you’ll help shape both the product and how this brand-new function works and scales. The role is highly collaborative, deeply customer-facing, and built for engineers who thrive in ambiguity, take end-to-end ownership, and want to solve the highest-impact problems at the intersection of product, engineering, and customer needs. This role includes periodic travel to work alongside strategic customers in person.
This is a full time role that can be held from one of our US hubs or remotely in the United States.
What you'll do at Figma:
Make an enterprise design system agent-ready so AI tools generate faithful, on-system code: fix tokens, naming, and guidelines, wire up Code Connect, and run evals
Get Make Local, Code Layers, and our newest products working in a customer’s real environment, writing code, config, agent skills, and guideline files against their systems and ours
Run technical discovery: understand a customer's dev environment, toolchain, and constraints, then scope the fastest credible path to value, in addition to setting the customer up for long term success
Debug hard, unfamiliar integration problems (git workflows, CI, dev-environment setup, non-standard stacks)
Build LLM-powered workflows: MCP setup, agent skills, and prompt engineering tuned to each customer’s context
Turn one-off solutions into reusable playbooks and product feedback, so patterns you solve once become self-serve or shipped product
Bring learnings on friction back to Figma's Product and Engineering teams, influence what gets built next, and often build it
We'd love to hear from you if you have:
5+ years shipping production software end-to-end, with meaningful time embedded with customers or partner teams
Excellent customer-facing communication and technical partnership skills, with the ability to build trust with senior engineers and translate customer needs into actionable product and engineering solutions
Strong engineering fundamentals and adaptability, with the ability to quickly navigate unfamiliar codebases, languages, and technical environments to deliver production-ready solutions
Hands-on experience with design systems and design-to-code workflows, including component libraries, tokens, documentation, and the tooling that connects design artifacts to production code
Proficiency in TypeScript/JavaScript or Python, including demonstrated fluency with agentic coding tools (e.g., MCP, agent orchestration). You have hands-on experience integrating APIs and SDKs, troubleshooting toolchains and CI environments, and navigating enterprise requirements such as SSO, security reviews, access controls, data residency, and compliance frameworks
Comfort owning ambiguous technical problems end to end, identifying patterns across customer engagements, and turning field learning into reusable product improvements
While it's not required, it's an added plus if you also have:
Background in forward-deployed engineering, solutions engineering, professional services, developer experience, or a similar customer-facing technical role
Familiarity with developer tools, design-to-code workflows, or AI/LLM products, including tools such as Code Connect, Storybook, Style Dictionary, or comparable technologies
Proven ability to partner cross-functionally with Sales, Customer Experience, Solutions Architecture, or related teams to deliver complex enterprise engagements
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$153,000
—
$376,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: Oakland, California, United States
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the role
We're hiring a Product Manager to lead the dbt v2 roadmap — the future of dbt Labs' intellectual property and a critical driver of product-led growth. You will own net-new functionality in Fusion that identifies and monetizes local deployments of dbt, shipping net new features, many of which also land in dbt Core, as well as proprietary ELv2 plugins that integrate seamlessly with the dbt platform.
This role is co-located with our dbt v2 engineering team in the US to accelerate execution, strengthen prioritization, and ensure tight alignment across product, engineering, and platform teams. You'll bridge open source product strategy with technical delivery and business impact, translating strategic investments into shipped features that drive the Fusion PLG motion.
In this role, you will
Own and deliver the dbt v2 roadmap, shipping net new functionality to dbt v2 like SQL comprehension, compute, governance, and SAO
Define requirements for Fusion features that integrate seamlessly with the dbt platform and unlock enterprise value
Keep the Fusion engineering team aligned, unblocked, and executing on a predictable cadence
Contribute hands-on to the dbt Core / Fusion codebases, including code reviews, documentation, and small feature implementations
Collaborate with OSS strategy leads, platform PM peers, and cross-functional stakeholders to deliver a unified roadmap
What success looks like
Shipping net-new features on a predictable quarterly cadence
Measurable contribution to Fusion PLG growth metrics, including identification and monetization of local dbt deployments
Hands-on contributions to dbt Core and Fusion code bases, including merged PRs and meaningful improvements to the open source codebase
Strong execution and alignment across the Fusion engineering team
You're a good fit if you have
5+ years of product management experience in technical domains such as developer tooling, data platforms, or open source software
Strong grasp of system architectures, particularly for local deployments and how they scale to enterprise use cases
Understanding of how open source investments drive PLG growth and product strategy
Ability to bridge technical delivery with business impact, translating features into revenue and growth metrics
Experience working with engineering teams to define, prioritize, and ship complex technical features
Strong communication skills with empathy for open source contributors and enterprise users alike
Nice to have
Hands-on experience with dbt or similar transformation frameworks
Background in plugin architectures, extensibility systems, or platform ecosystems
Understanding of PLG motions and freemium-to-paid conversion strategies
Experience with SQL engines, query optimization, or compute systems
Prior experience as an engineer whose worked with modern development frameworks (examples: React, Typescript, Python, etc.)
#LI-Remote
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Pay Range
$226,657
—
$283,322 USD
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$243,936
—
$304,920 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
О проекте: ArchOps — архитектурный продукт, позволяющий наполнять и управлять ландшафтом предприятия.
Задачи:
— дорабатывать текущий Copilot продуктового архитектора;
— участвовать в обучении моделей;
— разрабатывать новые AI-агенты.
Требования:
— понимание работы и построения AI агентов;
— базовые навыки Python;
— знание ООП;
— студенты 3 и 6 курсов бакалавриата, специалитета или магистратуры.
Условия:
— график работы 30-40 часов в неделю;
— развитие в командах профессионалов и опытный наставник;
— мобильная связь за счет компании;
— специальные предложения и скидки от продуктов экосистемы МТС;
— собственный корпоративный университет, онлайн-библиотека, приложение Best Benefits с различными скидками;
— спорт: онлайн зарядки, йога, дыхательные практики.
Location: San Francisco, California
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE:
- You will apply your expertise in statistical inference and experimentation to understand the impact of product changes and drive decision-making.
- You will explore ambiguous areas and conduct analysis to identify opportunities for the Growth org, helping shape the strategy and roadmap.
- You'll partner closely with product, engineering, and marketing leaders at every step of the development process, driving forward data science and analytics work.
- You'll work with your teams to determine north star and operational metrics, and build the foundational datasets and dashboards to monitor progress and make key decisions.
- You'll influence the broader company by communicating your findings and driving change in our product and business. (Insights are useful. Impact is even better!)
SKILLS YOU'LL NEED TO BRING:
- You are comfortable with ambiguity and motivated by business results.
- You have expertise in SQL and at least one scripting language (ideally Python or R).
- You know how to use statistical inference and experimentation to drive actionable recommendations.
- You are comfortable transforming raw data to build your own data sets if the measure you need doesn't exist yet.
- You have a bias for using the right tools to get a job done with maximum efficiency. You have experience making tradeoffs between speed and accuracy.
NICE TO HAVES:
- You have worked at a fast-growing start-up.
- You have experience at a B2B SaaS company.
- You have a track record of acting as a thought partner to product, engineering, and marketing leaders, driving strategic decisions on these teams using data.
- You have experience building predictive models, and you know how to evaluate their effectiveness.
We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you’re excited about a role but your past experience doesn’t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you’re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $145,000 – $233,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: Ukraine; Azerbaijan
About the Role
OneDome is a UK-based property technology company on a mission to make buying, selling and financing a home simpler and faster. Our platform connects homebuyers, estate agents, conveyancers and mortgage brokers into a single digital journey, and it is scaling quickly.
We hold a great deal of data on how customers move through buying, financing and conveyancing, and very little of it can currently be queried in one place. This is our first dedicated data engineering role. You will own our data warehouse and the pipelines that feed it, decide what the data platform looks like, and become the person the business relies on for answers.
What You'll Do
Develop and maintain our AWS-based data platform for a quickly scaling business.
Build and own our data warehouse and the pipelines that feed it from product, CRM and third-party systems.
Model data for analytics and reporting so analysts, product and leadership can rely on it, and keep those models tested and documented.
Contribute to architecture decisions and technical direction across the platform.
Ensure data quality, performance and scalability.
Own data protection obligations within our pipelines, including retention, deletion and subject access requests.
Collaborate with product managers, analysts and engineers across distributed teams to deliver high-impact solutions.
Leverage AI-powered engineering tools to accelerate delivery while maintaining high standards of quality, security and operational excellence.
Basic Qualifications
5+ years of professional experience building and running production data pipelines end to end.
Data warehouse design and modelling, including dimensional modelling, slowly changing dimensions, incremental and full-refresh builds, and schemas analysts can query unaided.
Hands-on production experience with Redshift, including loading strategies, distribution and sort key design, workload management, query tuning and cost control. An equivalent columnar warehouse (Snowflake, BigQuery) is acceptable with a credible transfer story.
Experience running dbt in production, including testing, documentation and CI.
Strong SQL, including tuning analytical queries, and strong Python.
Experience with relational and NoSQL databases, including Postgres (with JSONB) and DynamoDB or equivalent, and real experience getting analytical value out of NoSQL stores through change data capture, export patterns, denormalisation and schema drift.
Hands-on experience designing, deploying and operating data services on AWS, including S3, Glue, Athena, Lambda, EventBridge, Kinesis/Firehose, RDS, IAM and CloudWatch.
Experience with infrastructure automation and observability, including infrastructure as code (Terraform).
Experience handling regulated personal data in the UK, including GDPR, retention and subject access requests.
Comfortable using AI coding assistants (e.g. Claude Code, Cursor, GitHub Copilot) as part of the development workflow.
Strong communication skills in English. Russian is a plus.
Preferred Qualifications
Microsoft Dynamics 365 or Dataverse data extraction (Synapse Link, Dataverse API).
Mortgage, property or financial services domain experience.
Experience with BI tooling such as Looker or Metabase.
Familiarity with managed ingestion tools such as Fivetran or Airbyte.
AWS certification.
What We Offer
Challenging tasks with a great opportunity to level up your skills.
20 working days of paid vacation, with additional days off following the UK holiday calendar.
Working hours of 9:00-17:00 London time.
An international team spread across Ukraine and Azerbaijan.
Ready to Build?
OneDome is small enough that your work is visible and large enough that it matters. This is the first data role here, so the warehouse, the models and the standards will be yours to set. If you want to help reshape one of the biggest transactions in people's lives, we would love to hear from you.
Salary: $4,500 – $5,500
Location: US Remote
Workplace: Remote
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.
As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations.
Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow.
Location: Remote (US East Coast/Central)
As our team and customer base grow, we need to make sure our security efforts scale accordingly. For that, we are looking to expand the Synthesia Infosec team by onboarding an additional Security Engineer (L6)! You will report to the Head of Security and work within the Security Operations team.
KEY RESPONSIBILITIES:
- Build and own deeply technical security improvements across our Cloud Infrastructure(s) and associated territory (AWS/GCP, Kubernetes, CI/CD), including shipping production changes yourself when needed.
- Design, implement, and iterate on detection and response capabilities (SIEM, EDR/MDR, cloud-native detections, CNAPP) with an engineer’s bias for automation, reliability, and measurable outcomes.
- Hunt, investigate, and respond to security alerts and suspicious activity end-to-end (triage → containment → eradication → recovery → learnings), including writing tooling and detection logic to prevent recurrence.
- Build internal security tooling and automations (IaC, scripts, integrations) that reduce toil and raise the security bar by default.
EXPERIENCE & QUALIFICATIONS:
- You’re a deeply technical security engineer with a builder/hacker mindset, able to go from idea → prototype → production and comfortable making changes directly in Cloud Infra / DevOps systems.
- You have 5+ years of hands-on security engineering experience, ideally in a cloud-first SaaS environment.
- Have worked in a fast-growing startup, scale-up and/or SaaS company
WE WOULD EXPECT YOU TO HAVE EXPERIENCE IN:
- Cloud security engineering in AWS and/or GCP, with the ability to implement improvements hands-on (IAM, networking, compute, storage, logging).
- Kubernetes security (cluster hardening, workload isolation, runtime security, policy controls) and container ecosystems.
- DevOps fundamentals: CI/CD security, secrets management, artifact integrity, and secure-by-default platform patterns.
- Incident response and investigation, including creating repeatable playbooks and automating response where appropriate.
- Strong programming/scripting ability (Python or similar) plus comfort with infrastructure-as-code (e.g., Terraform) and automation.
- Serious agent coding - ideally you’re on the bleeding edge in the space.
- Endpoint security tooling, such as CrowdStrike
Bonus points for:
- Hands on experience with any/all of: Hunters, Wiz, Falcon, Tracebit, Torii, Okta, Google Workspace, StrongDM, Github, StepSecurity, Dope Security
- Any relevant Information Security certification, e.g AWS Certified Security, GIAC GWEB, OSCP, or CSSLP.
THE GOOD STUFF..
In addition to being a part of a great team, working in a fun and innovative environment, we offer:
- A competitive salary + stock options in our fast-growing Series E startup
- Remote-friendly environment
- 100% Medical, Dental & Vision
- 401k Plan
- Paid parental leave
- 25 days of annual leave + Public holidays + paid sick leave
- Fun culture with regular socials
- A generous referral scheme
- A brand new computer + monitor
- Budget and support for conference travel, community events, and content production
Location: Москва
Отдел обеспечения безопасности объектов критической информационной инфраструктуры в поисках эксперта.
Обязанности
### Вам предстоит:
* автоматизация текущей деятельности, отчетности и аудита
* разработка внутренних python-приложений для автоматического сбора данных из банковских IT-систем (BI-платформы, ITSM, CMDB), сопровождение категорирования АС, агрегация данных и вычисление показателей защищенности
* проведение внутреннего аудита защищённости
* проверка соответствия процессов разработки и эксплуатации информационных систем требованиям регуляторов (ФЗ-187, Указы Президента РФ)
* моделирование угроз и оценка рисков
* создание детальных моделей угроз согласно методике ФСТЭК, оценка уязвимостей и рисков информационной безопасности.
* обеспечением соответствия законодательству (ФЗ-187)
* полный цикл управления объектами КИИ: категорирование, отправка сведений во ФСТЭК/НКЦКИ, актуализация моделей угроз после изменений архитектуры сервисов, подготовка отчётной документации для внешних проверок
* разработка внутренней нормативно-правовой базы
* составление и обновление организационно-распорядительных документов под текущие изменения законодательства
* AI-поддержка бизнес-процессов
* использование технологий больших языковых моделей (LLM) для автоматизации анализа изменений в законодательстве, составления матриц применимости требований и подготовки аналитических материалов
* экспертное сопровождение команд разработки и поддержки
* постоянный мониторинг исполнения требований регулятора, консультативная поддержка команд банка по вопросам развития систем в соответствии с законодательством.
Требования
### Что для нас важно:
* высшее профильное образование в области информационной безопасности
* курсы профессиональной переподготовки объемом не менее 504 часов по программам, согласованным ФСТЭК России
* опыт практической работы с системой защиты объектов КИИ от двух лет и выше
* уверенное владение языками программирования: python (обязателен опыт работы с библиотеками pandas, numpy)
* знание фреймворков и инструментов: SQLAlchemy, OpenPyXL, Django/Flask
* навыки интеграции с внешними сервисами через RESTful API (SIEM, SOAR, Vulnerability Scanners)
* владение инструментами CI/CD и системами контроля версий (Git/GitLab)
* практический опыт построения дашбордов и визуализации данных (Power BI, Tableau, Grafana)
* глубокое понимание российского законодательства в сфере КИИ (ФЗ-187, Приказы ФСТЭК №235, №239, Указы Президента РФ №166, №250, Постановления Правительства РФ №127, №1912)
* способность самостоятельно следить за изменениями в законодательстве и своевременно корректировать внутренние процессы
* опыт успешного внедрения решений на основе больших языковых моделей (GPT, BERT и др.)
* умение формулировать эффективные промпты для генерации текстов, вычитки документации, создания чек-листов и аналитики
* понимание этических аспектов и ограничений применения искусственного интеллекта в вопросах безопасности.
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.
Location: United States
Workplace: Remote
The Security Team is responsible for providing key security capabilities covering application, cloud and enterprise security, incident response, detection and GRC. Our team is looking for an experienced, hands-on security practitioner, who will drive the adoption of modern security processes and tooling, with focus on supporting our detection and incident response capabilities.
What you will do:
- Develop processes, tooling and automation to scale incident management response and mitigate risks to the business
- Collaborate with other security functions, engineering, product, support, business operations to identify appropriate detection use cases and automation
- Apply a threat modeling centric approach to incident detection and response
- Maintain security logging platform
- Stay up to date with the latest threats, attack vectors to improve our detection mechanisms and attack surface management
- Handle information security events and incidents across the ClickHouse products and services
What you bring along:
- Background in product security / red teaming / penetration testing / threat modeling, combined with incident detection and response experience
- Strong knowledge of and experience with one or more cloud service providers (e.g. AWS, GCP, Azure)
- Excellent written and verbal communication skills
- Experience securing large-scale customer-facing cloud infrastructures
- Significant development and automation experience; preference for Golang and Python
Bonus Points:
- BS, MS, or PhD in Computer Science or related field
- Previous contributions to open source projects
- Security or cloud related certifications (AWS, GCP, Azure)
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: United States
Workplace: Remote
The Security Team is responsible for providing key security capabilities covering application, cloud and enterprise security, incident response, detection and GRC. Our team is looking for an experienced, hands-on security practitioner, who will drive the adoption of modern security processes and tooling, with focus on supporting our detection and incident response capabilities.
What you will do:
- Develop processes, tooling and automation to scale incident management response and mitigate risks to the business
- Collaborate with other security functions, engineering, product, support, business operations to identify appropriate detection use cases and automation
- Apply a threat modeling centric approach to incident detection and response
- Maintain security logging platform
- Stay up to date with the latest threats, attack vectors to improve our detection mechanisms and attack surface management
- Handle information security events and incidents across the ClickHouse products and services
What you bring along:
- Background in product security / red teaming / penetration testing / threat modeling, combined with incident detection and response experience
- Strong knowledge of and experience with one or more cloud service providers (e.g. AWS, GCP, Azure)
- Excellent written and verbal communication skills
- Experience securing large-scale customer-facing cloud infrastructures
- Significant development and automation experience; preference for Golang and Python
Bonus Points:
- BS, MS, or PhD in Computer Science or related field
- Previous contributions to open source projects
- Security or cloud related certifications (AWS, GCP, Azure)
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
УдалённоThe base salary range for this role’s listed level is currently for residents of the EU, applicable in the specified country or countries only
УдалённоseniorМожно работать из любой страны
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
