Location: San Francisco, California
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:
Notion's mission is to make toolmaking ubiquitous—from wikis and documents to notes, tasks, and databases. Strong product intuition and user focus have driven adoption across organizations of all sizes. Millions of users now rely on Notion's building blocks to get work done.
As Notion scales, there's a unique opportunity to build the data foundations that help our product and company reach their full potential. You'll design and build reliable, trusted datasets that accelerate decision-making across product and business functions, directly impacting our roadmap and growth.
This role is based in our San Francisco Headquarters. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE:
- Define ETL processes and infrastructure to make data readily available across the company
- Build core datasets as single sources of truth for product and business teams (product, marketing, sales, finance, customer experience, data science, operations, IT, engineering)
- Partner with data scientists and stakeholders to understand their needs and design, build, and monitor pipelines that scale with our growing data
- Implement automated workflows that reduce operational costs, define SLAs for timely data delivery, and democratize data through self-serve dashboards, discovery tools, and AI-enabled exploration
SKILLS YOU'LL NEED TO BRING:
- Self-starter who gathers high-impact needs from business partners, designs technical solutions, and communicates clearly about deliverables, timelines, and tradeoffs
- 5+ years of experience as a data engineer building core datasets and supporting business functions, with a passion for analytics, data modeling, and solving complex problems
- Strong understanding of scalable cloud data solutions (AWS, GCP, Azure) across multiple data stores (Snowflake, Redshift, Hive, SQL/NoSQL, columnar formats) and methodologies (dimensional modeling, data marts, schemas)
- SQL expert, proficient with aggregation, window functions, UDFs, self-joins, and optimization techniques for writing correct, high-performance queries
- Highly comfortable with object-oriented programming (Python, Java, Scala)
- Expert at using AI and agent-based tools to accelerate data development for yourself and others, including defining guardrails, workflows, and context for safe, production-scale data work
NICE TO HAVES:
- Experience at a fast-scaling or SaaS company, with enthusiasm to contribute in such an environment (current Notion users especially welcome)
- Hands-on experience designing and building highly scalable, reliable data pipelines using BigData stack tools (e.g., Airflow, DBT, Spark, Hive, Parquet/ORC, Protobuf/Thrift)
Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Notion.
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 made 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, the estimated base salary range for this role is $179,000 - $200,000 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: Cardiff, London or Remote (UK)
🚀 We’re on a mission to make money work for everyone.
We’re waving goodbye to the complicated and confusing ways of traditional banking.
After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as
personal
and
business
bank accounts, we offer
joint accounts
,
accounts for 16-17 year olds
, a
free kids account
and
credit cards
in the UK, with more exciting things to come beyond. Our UK customers can also
save
,
invest
and
combine their pensions
with us.
With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers!
We’re not about selling products - we want to solve problems and change lives through Monzo ❤️
📍London or Remote (UK) | 💰£79,000 - £93,000 + Incentive Awards tied to your performance +
Benefits
About the team:
Our Borrowing (lending) business is growing rapidly across both existing products and with the planned launch of new initiatives. As our lending portfolio grows, our second line of defence Credit Model Validation team is growing with it - and we’re looking for a Credit Model Validation Manager to join us!
Our Credit Model Validation team provides independent oversight and challenge to our model development teams in the first line of defence. We help Monzo grow safely and make sure the models we use are fit for purpose, appropriately governed and deliver good outcomes for our customers. You’ll join our validation squad and provide expert independent validation and oversight across a broad suite of credit models.
This is a generalist role rather than one focused on a particular model type. You’ll work across models used for impairment, capital, stress testing, forecasting and credit decisioning, including IFRS 9 PD, LGD, EAD and economic response models; decision science scorecards and origination PD models; and Net Present Value (NPV) / unit economics models.
Strong data and analytical skills are a must, as is broad expertise in credit risk modelling and model risk management. You’ll have hands-on experience in model validation and/or development within financial services, and be comfortable getting into the data and code to form an independent view across different model types.
Your day-to-day
Leading hands-on independent validation across Monzo’s credit model portfolio - covering models used for IFRS 9 impairment, capital and stress testing, forecasting, credit decisioning and unit economics - and making sure they are fit for purpose, appropriately governed and performing as expected
Reviewing and challenging key model-led credit risk assessments, including impairment adequacy, ICAAP and stress testing, using independent analysis to assess assumptions, limitations and impacts
Developing a deep understanding of Monzo’s credit models and how they are used, and using this to provide impactful input and challenge to model developers and users
Contributing to making model validation more consistent, scalable and technology-enabled - building reusable analytical tools and tests, experimenting with AI-assisted approaches and helping the team embed them safely
Reviewing ongoing model performance monitoring to ensure our lending models perform within our risk thresholds, and providing support to our first line of defence teams when action is required
Performing statistical analyses, model replication and challenger work where appropriate to test assumptions, assess performance and strengthen validation conclusions
Improving and helping to embed our Model Risk Framework, including our policies, standards, model inventory, governance and validation approach. This means making sure we follow up-to-date regulatory expectations and that our processes remain proportionate and relevant as modelling techniques evolve
Writing clear and impactful model validation reports, and presenting the findings and actions in relevant committees
Partnering with colleagues in first line of defence credit strategy, modelling and finance teams - and with wider risk teams across Monzo - to support effective model governance and consistent validation standards across the organisation
You should apply if you:
Have a strong background and practical experience in credit model development and/or validation across a range of model types. You’ll have meaningful experience with IFRS 9 impairment, Internal Ratings Based (IRB) or other capital models, alongside broader exposure to several areas such as stress testing, economic response, forecasting, decision science scorecards or NPV / unit economics modelling
Understand model risk management in practice, including independent validation, model governance, ongoing monitoring, model change and issue management, and how regulatory expectations apply across the model lifecycle
Are impact-driven and want to improve how validation is done, not only complete individual reviews. You can turn repeatable work into practical methods, tools or guidance that improve quality and consistency across the team.
Are curious about AI and automation, and can assess where they add value, the risks they introduce, and the controls and human oversight needed. Experience with AI-assisted analytical or coding tools is useful, but not essential
Are data driven, with strong analytical skills and deep knowledge of statistical techniques for credit and model risk. Strong SQL and Python skills are essential. You can produce clear, reusable and tested code, using collaborative practices such as version control, peer review and documentation. Experience with Tableau, Looker or similar is a plus.
Can assess models in the context of how they are used - including accounting, capital, credit strategy, risk appetite and customer outcomes - and can distinguish technical model performance from the wider risks of relying on the model
Have strong written and verbal communication skills, and are able to articulate problems and solutions using clear and simple language. This is particularly important for breaking down complex issues and priorities to non-experts
Have a track record of building and maintaining trusting relationships with stakeholders at all levels, and can provide effective and respectful challenge
Our technology stack
We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them):
Google Cloud Platform
for all of our analytics infrastructure
dbt
and
BigQuery SQL
for our data modelling and warehousing
Python for data science and machine learning
Go
to write our application code
AWS
for most of our backend infrastructure
The interview process:
Our interview process usually involves up to four main stages via Google Meet:
An initial call with our recruiter
A call with our Senior Model Validation Manager, the hiring manager for the role
A role-specific call with colleagues from our credit modelling and model risk teams. We’ll share a short case study in advance, but you won’t need to submit a written response; we’ll use it to guide the discussion during the interview.
A behavioural interview
🙌 What’s in it for you
💰 £79,000 - £93,000 + Incentive Awards tied to your performance benefits.
📍 This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).
⏰ We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team.
📚 £1,000 learning budget each year to use on books, training courses and conferences.
🏡 We will set you up to work from home; all employees are given MacBooks and for fully remote workers we will provide extra support for your work-from-home setup.
➕ Plus lots more! Read our full list of
benefits
.
We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them
here
.
We’ll close this role once we have enough applications for the next stage, so please apply as soon as you can - we don’t want you to miss out!
#LI-TK1
Equal opportunities for everyone
Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our
blog
, 2026
Diversity and Inclusion Report
and 2025
Gender Pay Gap Report.
We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.
If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊
Location: India
Who We Are:
Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America.
The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia.
Additional information about Galaxy's businesses and products is available on
www.galaxy.com
.
What We Value:
We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be.
Seek Excellence.
Be Selective To Be Effective.
Be Highly Aligned, Loosely Coupled.
Disagree Transparently.
Encourage Independent Decision-Making.
Build Dream Teams.
The Role:
This is an exciting opportunity to join and help grow Galaxy’s data engineering team in Mumbai at the start of building a next-gen, real-time, cloud-native analytics platform which is powered by kdb+ technology and AI-driven analytics. You will be working in a collaborative startup-like environment with data assets that span digital and traditional finance products, services and markets.
Responsibilities:
Ensure stability and quality of real-time ingestion processes
Build and support kdb Insights (or KDB-X) modules, packages and pipelines processing billions of real-time messages daily
Develop performant queries and functions to support business activities across various trading desks
Build SRE tools focusing on proactive detection of performance bottlenecks across the platform’s core q, Python and Java processes running 24x7 in AWS
Required Qualifications:
5+ years of core kdb+/q development
Practical experience in developing, deploying and supporting large-scale kdb+ platforms, preferably in AWS
Hands-on experience with kdb Insights, including advanced usage of microservices and development of packages, pipelines and UDAs (user-defined analytics)
Hands-on experience with Kubernetes services in AWS
Development experience using Python data processing libraries and PyKX
Preferred Qualifications:
Exposure to building Datadog dashboards with kdb metrics
Experience with integrating kdb+ with enterprise lakehouses, specifically Databricks
Experience using AI coding agents in development, testing, release and SRE lifecycles
Experience in working with crypto products, markets and data
What We Offer
:
Competitive base salary and discretionary bonus
Company-paid health and protective benefits for employees and their eligible dependents
Free virtual coaching and counseling sessions
Opportunities to learn about the Crypto industry
Smart, entrepreneurial, and fun colleagues
Employee Resource Groups
*Benefits may vary depending on location.
Apply now and join us on our mission to engineer a new economic paradigm.
Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances.
We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact
careers@galaxy.com.
Location: India
Who We Are:
Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America.
The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia.
Additional information about Galaxy's businesses and products is available on
www.galaxy.com
.
What We Value:
We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be.
Seek Excellence.
Be Selective To Be Effective.
Be Highly Aligned, Loosely Coupled.
Disagree Transparently.
Encourage Independent Decision-Making.
Build Dream Teams.
Who You Are:
You're a hands-on engineer with several years of experience building and operating production data platforms. You're fluent in Python or Java and comfortable across the modern data stack — AWS, Kubernetes, Terraform, Kafka, and Databricks/Spark. You care about reliability and developer experience, write clean and well-tested code, and
like enabling other teams to move fast on infrastructure you own. You're curious about crypto and energized by working at the intersection of finance and emerging technology.
What You’ll Do:
Build and maintain the tooling
and
infrastructure that lets
data
champions ship pipelines autonomously
Own monitoring, alerting, and
dataops
practices that keep the platform reliable as it scales
Operate
Kafka as
the
message broker
powering
cross-team event-driven architecture
Deploy, own and maintain infrastructure components (services, OSS helm charts) with Terraform and Kubernetes
Run high-throughput, low-latency processing on Databricks/Spark and cloud-native services on AWS
Support dbt for transformations and Airflow (or similar) for orchestration across the platform
Partner with product, analytics, and infrastructure teams on design and delivery of platform improvements
Troubleshoo
t production issues and
drive the fixes
Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes.
Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work.
What We’re Looking For:
Bachelor’s or
Master’s degree in Computer Science
, Engineering, or related field
5+ years building data or platform engineering systems in production
Strong coding skills in Python or Java
Experience operating production data platforms on AWS and supporting downstream teams who build on them
Hands-on with Kubernetes and Terraform
Experience running Kafka (or a similar broker) in event-driven systems
Working knowledge of Databricks/Spark, dbt, and Airflow
Solid grasp of data modeling, data quality, and relational and non-relational databases (e.g., Postgres, SQL Server)
Comfortable with CI/CD, testing frameworks, and observability tooling
Bonus Points:
Experience with d
ashboarding technologies
Experience with
streaming engine (
flink
,
kdb
)
Full lifecycle development of a commercial system,
including:
requirements definition, agile planning, releasing, and production support
Experience in Crypto
What We Offer
:
Competitive base salary and discretionary bonus
Company-paid health and protective benefits for employees and their eligible dependents
Free virtual coaching and counseling sessions
Opportunities to learn about the Crypto industry
Smart, entrepreneurial, and fun colleagues
Employee Resource Groups
*Benefits may vary depending on location.
Apply now and join us on our mission to engineer a new economic paradigm.
Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances.
We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact
careers@galaxy.com.
Location: Remote - United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We are looking for a
Support Engineer L2 t
o resolve complex technical issues escalated by Nebius clients.
This position requires strong analytical skills, effective communication, and a customer-centric approach to deliver outstanding service and ensure operational continuity.
You’re welcome to work remotely from the USA.
Please note that this is a shift work.
Your responsibilities will include:
Diagnose and resolve technical issues, focusing on Linux, networking, security, Kubernetes and cloud environments.
Analyze and resolve storage-related issues using a strong understanding of data storage concepts.
Apply ML knowledge to assist with troubleshooting model deployment, performance issues and integration challenges in ML pipelines.
Develop Python and Bash automation scripts to streamline processes and optimize workflows.
Provide timely updates and clear customer explanations regarding issue status and resolutions.
Escalate unresolved problems promptly to ensure minimal service disruption.
Maintain and improve technical documentation to support troubleshooting and issue prevention.
We expect you to have:
Linux administration – advanced
Networking – intermediate
Kubernetes – intermediate
Cloud solutions (AWS, Azure, GCP) – intermediate
Python/Bash scripting – intermediate
ML training, inference and pipelines – intermediate
Data storage concepts – intermediate
Troubleshooting and problem-solving – advance
Qualifications:
Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.
Experience: 5+ years in technical support, with at least 3 years of hands-on experience in cloud environments.
Working Hours:
Availability for rotational shifts or on-call support as required.
Key employee benefits in the US:
Health insurance:
100% company-paid medical, dental, and vision coverage for employees and families.
401(k) plan:
Up to 4% company match with immediate vesting.
Parental leave:
20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
Remote work reimbursement:
Up to $85/month for mobile and internet.
Disability & life insurance
: Company-paid short-term, long-term and life insurance coverage.
#LI-SM2
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$150,000
—
$200,000 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: USA - New York (dbt)
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.
Customer Solutions Architect
About the role
The Customer Solutions Architect (CSA) is the primary post-sales technical owner for our existing customers, helping them get the most value from the combined Fivetran and dbt platform. Working alongside Account Executives (AEs) and Solutions Engineers (SEs), the CSA makes sure customers not only deploy successfully, but keep scaling and expanding their usage over time.
This role operates as a technical account manager and strategic advisor, bridging the gap between onboarding success and long-term growth. The CSA owns the technical narrative after go-live: monitoring an existing book of business, leading technical discussions, uncovering new data challenges, and guiding customers through architecture evolution, adoption, and expansion through live demos and technical workshops.
Unlike implementation-focused roles, the CSA is accountable for both retention and growth, and is measured on incremental ARR, Net Revenue Retention (NRR), and Gross Revenue Retention (GRR). You will act as a trusted advisor, advocate, and accelerator, ensuring customers derive maximum value from their data investments while aligning their technical roadmap with the platform's capabilities.
Location:
New York City, NY (hybrid). This is a full-time position, and candidates must be located in the greater NYC area and able to work in the office two days a week (Tuesday and Thursday).
What you'll do
Product Adoption and Customer Value Realization
Own post-sales technical engagement across a portfolio of assigned Commercial and Enterprise accounts
Drive adoption, optimization, and ongoing usage of the platform, moving customers after initial deployment to sustained, scalable success
Educate customers on new products and features as they launch, and on existing capabilities they may not be using
Deliver enablement sessions, workshops, and best-practice guidance
Monitor account health signals (usage, performance, support trends) and proactively intervene to address churn or contraction risks, including running implementation reviews and healthcheck sessions
Expansion and Growth
Identify, validate, and execute expansion opportunities across business units, regions, and use cases, including opportunities to bring both Fivetran and dbt into an account
Translate customer initiatives into scalable data workloads and technical solutions
Partner with account teams to drive incremental ARR through expansion plays.
Replicate successful use cases across the organization to accelerate growth
Provide strategic input on the customer lifecycle and renewals process
Technical Strategy and Architecture
Define and maintain Enterprise Reference Architectures aligned to customer environments, ensuring architectural consistency and scalability across implementations
Guide customers on best practices for data pipelines, transformation, automation, and platform adoption
Maintain technical artifacts such as architecture documentation, design patterns, and knowledge bases
Stakeholder Engagement and Account Planning
Build and maintain strong relationships with technical, operational, and executive stakeholders, using stakeholder maps and multi-threaded engagement strategies
Run regular technical cadence calls, business reviews, and roadmap sessions
Contribute to Mutual Account Plans and own Mutual Success Plans, mapping whitespace opportunities across business units, subsidiaries, and use cases
Align customer technical strategy with business objectives and commercial plans
Internal and Partner Collaboration
Act as the technical orchestrator across Sales, Professional Services, Product, and Engineering, keeping delivery teams aligned with long-term expansion strategy
Advocate for customer needs internally, influencing the product roadmap and priorities
Collaborate with technology partners (e.g., Snowflake, Databricks, AWS, GCP) to drive joint value
Help improve team processes, refine assets, and enable teammates through our knowledge-sharing loop
Thought Leadership
Contribute to and deliver external-facing content through live events, speaking engagements, blog posts, recorded tutorials, or other educational resources
Work closely with Regional and Product Marketing teams to support field and industry events
Support senior leadership in aligning field and industry requirements with the product roadmap, collaborating with Product and Product Marketing under their guidance.
What you bring
2+ years of experience in a post-sales, customer-facing technical role, such as Solution Architect, Technical Account Manager, or Customer Success Engineer
Strong ability to own and drive customer outcomes after the sale, including adoption, renewal, and expansion
Solid technical background, with experience designing scalable data architectures, a firm understanding of modern data warehousing and the analytics stack, and SQL proficiency
Ability to translate business objectives into technical solutions and measurable outcomes
Strong stakeholder management skills across technical and non-technical audiences, and a high degree of comfort presenting to diverse audiences
A proactive, self-sufficient, and highly organized approach to managing multiple accounts
Comfort operating strategically while also engaging in deep technical discussions
Ability to operate in an ambiguous, fast-paced environment and think on your feet in customer conversations
A team-player mindset, both within the CSA team as we evolve our ways of working and in daily collaboration with AEs and SEs
Openness to travel: we value in-person relationship building, both internally and externally, and expect willingness to travel to events as needed
What Will Make You Stand Out
Hands-on experience with dbt and/or Fivetran; dbt certification is a bonus
SQL knowledge, with a working understanding of AI architecture, including LLMs, Knowledge Graphs, and RAG
Experience with cloud data platforms (Snowflake, Databricks, AWS, Azure, GCP)
Background in data integration, ETL/ELT, or replication technologies, plus experience with ancillary tools, APIs, and managing data infrastructure
Experience with workload-based or consumption-based sales models
Familiarity with enterprise architecture frameworks and design patterns
Experience working with system integrators or technology partners
Technologies You’ll Use
Databases: SAP HANA, Oracle, SQL Server, Postgres
Data platforms: Snowflake, Databricks, BigQuery, Redshift
Products: Fivetran, dbt platform
Languages: SQL, Python, bash or PowerShell
Networking: SSH tunneling, VPNs, PrivateLink
Modern data stack tools and ecosystem technologies
Hiring Process
Interview with Talent Acquisition Partner
Interview with Hiring Manager
Technical Interview
Team Interview
Final Interview: Mock Demo
Compensation & Benefits
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. For this role, on-target earnings (OTE) are split 80% base salary and 20% variable compensation. 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.
#LI-LC1 #LI-HYBRID #LI-MP1
OTE (On Target Earning)
$165,000
—
$190,000 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.
Location: Denver, Colorado, United States, AMER
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.
Customer Solutions Architect
About the role
The Customer Solutions Architect (CSA) is the primary post-sales technical owner for our existing customers, helping them get the most value from the combined Fivetran and dbt platform. Working alongside Account Executives (AEs) and Solutions Engineers (SEs), the CSA makes sure customers not only deploy successfully, but keep scaling and expanding their usage over time.
This role operates as a technical account manager and strategic advisor, bridging the gap between onboarding success and long-term growth. The CSA owns the technical narrative after go-live: monitoring an existing book of business, leading technical discussions, uncovering new data challenges, and guiding customers through architecture evolution, adoption, and expansion through live demos and technical workshops.
Unlike implementation-focused roles, the CSA is accountable for both retention and growth, and is measured on incremental ARR, Net Revenue Retention (NRR), and Gross Revenue Retention (GRR). You will act as a trusted advisor, advocate, and accelerator, ensuring customers derive maximum value from their data investments while aligning their technical roadmap with the platform's capabilities.
Location:
Denver, CO (hybrid). This is a full-time position, and candidates must be located in the greater Denver area and able to work in the office two days a week (Tuesday and Thursday).
What you'll do
Product Adoption and Customer Value Realization
Own post-sales technical engagement across a portfolio of assigned Commercial and Enterprise accounts
Drive adoption, optimization, and ongoing usage of the platform, moving customers after initial deployment to sustained, scalable success
Educate customers on new products and features as they launch, and on existing capabilities they may not be using
Deliver enablement sessions, workshops, and best-practice guidance
Monitor account health signals (usage, performance, support trends) and proactively intervene to address churn or contraction risks, including running implementation reviews and healthcheck sessions
Expansion and Growth
Identify, validate, and execute expansion opportunities across business units, regions, and use cases, including opportunities to bring both Fivetran and dbt into an account
Translate customer initiatives into scalable data workloads and technical solutions
Partner with account teams to drive incremental ARR through expansion plays.
Replicate successful use cases across the organization to accelerate growth
Provide strategic input on the customer lifecycle and renewals process
Technical Strategy and Architecture
Define and maintain Enterprise Reference Architectures aligned to customer environments, ensuring architectural consistency and scalability across implementations
Guide customers on best practices for data pipelines, transformation, automation, and platform adoption
Maintain technical artifacts such as architecture documentation, design patterns, and knowledge bases
Stakeholder Engagement and Account Planning
Build and maintain strong relationships with technical, operational, and executive stakeholders, using stakeholder maps and multi-threaded engagement strategies
Run regular technical cadence calls, business reviews, and roadmap sessions
Contribute to Mutual Account Plans and own Mutual Success Plans, mapping whitespace opportunities across business units, subsidiaries, and use cases
Align customer technical strategy with business objectives and commercial plans
Internal and Partner Collaboration
Act as the technical orchestrator across Sales, Professional Services, Product, and Engineering, keeping delivery teams aligned with long-term expansion strategy
Advocate for customer needs internally, influencing the product roadmap and priorities
Collaborate with technology partners (e.g., Snowflake, Databricks, AWS, GCP) to drive joint value
Help improve team processes, refine assets, and enable teammates through our knowledge-sharing loop
Thought Leadership
Contribute to and deliver external-facing content through live events, speaking engagements, blog posts, recorded tutorials, or other educational resources
Work closely with Regional and Product Marketing teams to support field and industry events
Support senior leadership in aligning field and industry requirements with the product roadmap, collaborating with Product and Product Marketing under their guidance.
What you bring
2+ years of experience in a post-sales, customer-facing technical role, such as Solution Architect, Technical Account Manager, or Customer Success Engineer
Strong ability to own and drive customer outcomes after the sale, including adoption, renewal, and expansion
Solid technical background, with experience designing scalable data architectures, a firm understanding of modern data warehousing and the analytics stack, and SQL proficiency
Ability to translate business objectives into technical solutions and measurable outcomes
Strong stakeholder management skills across technical and non-technical audiences, and a high degree of comfort presenting to diverse audiences
A proactive, self-sufficient, and highly organized approach to managing multiple accounts
Comfort operating strategically while also engaging in deep technical discussions
Ability to operate in an ambiguous, fast-paced environment and think on your feet in customer conversations
A team-player mindset, both within the CSA team as we evolve our ways of working and in daily collaboration with AEs and SEs
Openness to travel: we value in-person relationship building, both internally and externally, and expect willingness to travel to events as needed
What Will Make You Stand Out
Hands-on experience with dbt and/or Fivetran; dbt certification is a bonus
SQL knowledge, with a working understanding of AI architecture, including LLMs, Knowledge Graphs, and RAG
Experience with cloud data platforms (Snowflake, Databricks, AWS, Azure, GCP)
Background in data integration, ETL/ELT, or replication technologies, plus experience with ancillary tools, APIs, and managing data infrastructure
Experience with workload-based or consumption-based sales models
Familiarity with enterprise architecture frameworks and design patterns
Experience working with system integrators or technology partners
Technologies You’ll Use
Databases: SAP HANA, Oracle, SQL Server, Postgres
Data platforms: Snowflake, Databricks, BigQuery, Redshift
Products: Fivetran, dbt platform
Languages: SQL, Python, bash or PowerShell
Networking: SSH tunneling, VPNs, PrivateLink
Modern data stack tools and ecosystem technologies
Hiring Process
Interview with Talent Acquisition Partner
Interview with Hiring Manager
Technical Interview
Team Interview
Final Interview: Mock Demo
Compensation & Benefits
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. For this role, on-target earnings (OTE) are split 80% base salary and 20% variable compensation. 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.
#LI-LC1 #LI-HYBRID #LI-MP1
OTE (On Target Earning)
$155,000
—
$175,000 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.
Location: Berlin Office; Iasi Office; London Office; Dublin
Workplace: Hybrid
ABOUT THE ROLE
Taktile helps financial institutions make smarter, safer decisions with the power of AI. Internally, AI coding agents have made writing code dramatically faster. The bottleneck is now everything around the code: builds, tests, reviews, merges, and deploys.
We're looking for a Senior Backend Engineer focused on Developer Productivity and Developer Experience to remove that bottleneck. This is a high-leverage, internal engineering role on our Platform Team: your users are Taktile's backend and frontend engineers and the AI agents working alongside them, and your product is the path from first commit to production.
You'll make CI fast and reliable, make our serverless stack easier to build on, and turn "how fast can we ship safely?" into metrics we move every quarter.
WHAT YOU’LL DO
- Build the deployment services that ship Taktile. Own the systems behind tens of thousands of stack deployments a week across dev, staging, production, and per-customer AWS accounts: progressive rollouts through monitoring and canary stages, deployment windows and gates, and fast rollbacks.
- Keep our AI developer tooling sharp. Maintain and extend Claudius, our in-house AI engineering agent that investigates CI failures, triages issues, and opens PRs, and metadev, our sandboxed Claude Code and OpenCode setup that packages Taktile's engineering knowledge for every engineer.
- Own the build → test → merge loop. Drive down CI runtime and flakiness across our main monorepos. Find the slowest and least reliable steps, fix them, and keep them fixed.
- Evolve our CI/CD architecture. Build on our move to per-module GitHub Actions workflows and a self-hosted runner fleet. Improve caching, parallelism, and cost per build.
- Shorten the inner dev loop. Make developing on our AWS Lambda stack fast, from running services locally against preview environments to faster, container-based deploys, so engineers aren't waiting on CloudFormation to test a change.
- Build paved roads. Ship templates, CLIs, and self-service tooling so any team can take a new module from first commit to a running dev workspace in under a day.
- Design for humans and agents. Make our tooling fast, deterministic, and scriptable so engineers and AI coding agents get quick, trustworthy feedback.
- Measure what matters. Own DevProd metrics like PR lead time, CI runtime, CI flakiness, and PRs per engineer-day. Use them to decide what to fix next and to prove the impact of what you ship.
- Own our AI developer tooling. Take ownership of Claudius, our in-house AI engineering agent, and decide where it goes next.
- Treat engineers as customers. Talk to teams, triage CI incidents, write clear docs, and drive migrations and deprecations to completion.
REQUIREMENTS
- 5+ years of professional backend engineering experience, with a track record of shipping and operating production systems end-to-end and leading technical projects across teams.
- Strong, production-grade skills in at least one backend language. Python is our main language today, but we're open to others. This role is mostly writing software (tools, services, bots, and CI logic), not only configuring it.
- Hands-on experience owning CI/CD at scale (for example, GitHub Actions): build and test performance, caching, parallelization, and debugging flaky tests and pipelines.
- Solid AWS experience, ideally with serverless (Lambda, CloudFormation/SAM) and infrastructure as code (Terraform).
- Comfortable with the latest AI coding and agent-orchestration tools (for example, Claude Code, OpenCode, subagents, and MCP). You use them daily and know how to make them work reliably for a whole engineering org.
- A product mindset for internal tooling. You talk to your users, measure outcomes, and judge success by adoption and time saved.
- Strong communication and stakeholder management. You can drive a change across many teams you don't manage: write the proposal, plan the rollout, and see it through.
IDEAL, BUT NOT REQUIRED
- Prior experience on a developer productivity, developer experience, build/release engineering, or platform team.
- Experience as a product-facing backend engineer, so you know firsthand where the development loop hurts.
- Experience with frontend build and test tooling in the TypeScript/React ecosystem, so you can support our frontend engineers too.
- Experience running self-hosted CI runners or build infrastructure at scale.
- Experience with progressive delivery: canary deployments, automated rollbacks, and deployment gates.
- Experience with monorepo tooling, build systems, or dependency management at scale.
- Experience building AI agents or agent infrastructure, such as MCP servers, agent harnesses, or evals.
OUR STACK
- AI: Claude, Claude Code, OpenCode
- Programming Languages: Python and TypeScript (React) today; open to others where they fit better
- Cloud & Infrastructure: AWS (Lambda, SAM/CloudFormation, ECR, CodeDeploy), Docker, Terraform
- CI/CD: GitHub Actions, self-hosted runners
- Internal Tools: GitHub, Linear, Notion, Metabase
OUR STANCE
- We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply.
- We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears.
ABOUT US
Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents.
With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding.
Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo.
With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com http://taktile.com.
About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process.
Your Privacy. Taktile (“we” or “us”) is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references.
How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities.
Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)).
Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates’ data becomes part of their employment records.
Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent.
Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review.
International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms.
By submitting your application, you acknowledge that you have read and understood Taktile’s Applicant Privacy Policy. To exercise your rights or ask questions, contact privacy@taktile.com.
Location: San Francisco; New York
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
As a Staff Software Engineer on the Product Security team at Harvey, you will have the opportunity to build security directly into the product. Harvey stores and processes our customers’ most sensitive data and our entire business model depends on a foundation At Harvey, you will find that security is paramount at every stage of our product lifecycle. In this role you will drive high-leverage security initiatives that raise the bar for the entire company — balancing hands-on technical work with cross-functional leadership and mentorship. This is a rare opportunity to design and build a world-class product security program at one of the fastest growing AI-native companies.
The Harvey Security organization has an engineering-first mindset and team members bring a variety of skills and come from various backgrounds. What the team shares in common is a desire to drive impact at scale and solve complex security challenges together. The problems we are solving today are often unsolved in the industry - making this an incredible career and personal growth opportunity.
WHAT YOU’LL DO
- Define and own the product security roadmap
- Establish risk based prioritization for product security features, balancing business velocity with customer trust.
- Partner with security leadership to drive organization maturity.
- Establish secure design principles for every stage of development, directly supporting Engineering, Product and Design teams.
- Raise the security bar across Harvey through scalable code and design reviews.
- Innovate new ways to Threat Model and surface security vulnerabilities at scale.
- Establish and evolve the security posture across Engineering by setting standards that scale with the company
- Architect secure-by-default tools and libraries to make the secure path the only path for developers at Harvey.
- Drive incident triage and translate vulnerability findings into end to end solutions.
- Directly mentor and lead junior engineers to up-level the Security organization.
WHAT YOU HAVE
- 8+ years of experience in product security, application security and/or security-focused software engineering.
- Track record of identifying and remediating software vulnerabilities through CVEs, bug bounty awards or published research.
- Experience independently delivering high-quality, production software end to end.
- Experience leading complex cross-functional security initiatives.
- Ability to handle prioritization and tradeoff discussions with senior leadership.
- Excellent communication and collaboration skills, particularly when translating security risks into business terms for non-security stakeholders.
- Excel at measuring and communicating security metrics and business risk reduction as it relates to product security investments.
- Experience mentoring both junior and senior engineers across engineering.
- Proactive approach to solving complex security challenges.
- Positive attitude and willingness to learn.
NICE TO HAVE
- Experience building security programs or practices at hyper-growth startups
- Background with cloud environments (Azure, GCP, AWS) and cloud-native security patterns
- Experience with AI/ML systems and emerging security considerations for LLM-based applications
COMPENSATION
$220,000 - $330,000
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
#LI-KV1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: Remote US
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
The Observability team builds the platform every Affirm engineer relies on to understand the behavior and performance of our systems. Our platform ingests 200+ TB/day of metrics, logs, and traces from hundreds of services across 80+ Kubernetes clusters, and when a user's checkout fails, our data is how engineers find out why. Over the next year, we’re moving to wide events, with one context-rich event per request, improving the signal-to-noise ratio to make debugging faster. We’re also introducing log sampling and building observability best practices into agentic development and code review, so that AI-assisted code is well instrumented by default.
We’re looking for a Staff Software Engineer to be the technical lead for Observability. You’ll spend most of your time hands-on while defining the roadmap, driving cross-functional projects, mentoring a team of six engineers, and partnering closely with infrastructure and product teams.
What You'll Do
· You will own the architecture of Affirm’s telemetry pipeline, balancing reliability, query performance, and cost at 200+ TB/day.
· You will design log sampling strategies that significantly reduce volume and cost without losing the signal engineers need during incidents.
· You will shape how observability fits into agentic development, so that AI coding agents and code review catch instrumentation gaps before code ships.
· You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects.
· You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed.
· You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes.
· You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, polcities, testing and alerting in place to support “keep the lights on” & on-call efforts.
· You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
· You will help develop talent on your team by providing feedback and guidance, and leading by example.
What We Look For
· You have 8+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
· You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Flink and Kubernetes.
· You have built or operated high-volume telemetry systems (metrics, logs, and/or traces) using technologies like OpenTelemetry, Kafka, and Terraform.
· You have a well-informed point of view on modern observability practices such as structured and wide events, sampling, cardinality management, and SLOs.
· You have driven adoption of a platform standard across many engineering teams, through both tooling and engagement.
· You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others.
· You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work.
· Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers.
· You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
· This position requires either equivalent practical experience or a Bachelor’s degree in a related field.
Base Pay Grade
- P
Equity Grade
- 13
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA base pay range (CA, WA, NY, NJ, CT): $230,000 - $290,000
USA base pay range (all other U.S. states): $204,000 - $264,000
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Задачи:
— Разработка и оптимизация сложных SQL-запросов и хранимых процедур
— Проектирование схем баз данных для высоконагруженных систем
— Создание и поддержка миграций с использованием Flyway
— Оптимизация производительности существующих запросов и индексов
— Разработка bash-скриптов для автоматизации процессов
— Использование современных инструментов и AI-агентов для повышения эффективности
— Анализ производительности запросов и выявление узких мест
— Мониторинг состояния базы данных и планирование масштабируемости
— Профилирование запросов и создание планов оптимизации
— Работа с логами и диагностика проблем
— Участие в ревью SQL-кода и проектировании баз данных
— Консультирование членов команды по вопросам баз данных
— Документирование архитектурных решений и процедур
— Наставничество младших разработчиков по SQL и оптимизации производительности
— Внедрение новых технологий и лучших практик в команду
Требования:
— Опыт работы с MariaDB/MySQL не менее 5 лет, глубокое понимание архитектуры и оптимизации баз данных
— Экспертные знания SQL (сложные запросы, оконные функции, CTE, подзапросы)
— Опыт разработки хранимых процедур и функций в MySQL/MariaDB
— Навыки оптимизации производительности запросов и схем баз данных
— Понимание стратегий индексирования и оптимизации для больших наборов данных
— Опыт работы с Flyway или аналогичными инструментами миграции баз данных
— Знание Linux/Unix и bash-скриптов для автоматизации
— Опыт коммерческой разработки SQL не менее 5 лет
— Опыт работы с высоконагруженными системами (обработка миллионов записей)
— Знание принципов проектирования баз данных и нормализации
— Опыт работы в команде с системами контроля версий (Git)
Желательно:
— Опыт использования AI-агентов для разработки и оптимизации SQL
— Знание современных инструментов автоматизации в рабочих процессах разработки
— Опыт работы с Jenkins или другими CI/CD системами
— Знание Docker для контейнеризации баз данных
— Опыт мониторинга производительности баз данных (Percona Toolkit, pt-query-digest)
— Знание NoSQL решений (Redis, MongoDB) для кэширования
— Опыт работы с облачными базами данных (AWS RDS, Google Cloud SQL)
Знание предметной области:
— Опыт работы с транспортными или логистическими системами
— Понимание железнодорожных систем и расписаний
— Опыт работы с системами реального времени и потоковой обработкой данных
Условия:
— Удалённая работа
— Современный стек технологий и интересные задачи
— Возможности профессионального роста в экспертной команде
— Доступ к передовым инструментам и технологиям
— Практический опыт с современными технологиями и подходами
— Возможность влиять на архитектурные решения проекта
— Наставничество и обмен знаниями с коллегами
— Исследование и внедрение AI-инструментов в ежедневные рабочие процессы
Location: Cluj
Workplace: OnSite
LIFE AT UIPATH
The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power.
To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose.
Could that be you?
YOUR MISSION
As part of our team, you will contribute to building and evolving our cloud offering that enables clients to train, deploy and consume Machine Learning models at scale. You'll be part of our Document Understanding platform, creating and improving features that enable users to train custom models with their own datasets and leverage them to split, classify and extract meaningful data from documents. Furthermore, your work will directly impact the scalability, quality, performance, and reliability of our platform, ensuring seamless integration across diverse environments and products
WHAT YOU'LL DO AT UIPATH
- You will develop robust and reliable components, identify bugs and
bottlenecks and devise solutions to address these issues
- You will use your problem-solving skills to develop and build code with
performance in mind
- You will use an engineering centric approach to solve complex problems in the
document understanding space
- You will work with teams across other locations to innovate and develop best-
in-class document understanding solutions
- You will maintain and improve the code quality, organization, and automation,
by writing unit tests, integration tests and e2e automations
WHAT YOU'LL BRING TO THE TEAM
- Proven track record (5+ years experience) of architecting and engineering
world-class, large scale commercial applications and services.
- Proficiency in one or more system level programming languages (C#, Java,
Python, Rust etc.) and a willingness to learn new ones
- Experience working with cloud ecosystems such as Azure, AWS or GCP
- Experience with Docker, Kubernetes or other containerization technologies.
- Strong understanding of object-oriented programming and architectural
design patterns.
- Good grasp of multithreading, synchronization, asynchronous, cloud
programming.
- Deep understanding of data structures & algorithms.
- Familiar with modern engineering practices, including agile development,
CI/CD and DevOps.
- Ability work with globally distributed teams.
- Effective teamwork, collaboration and communication skills
NICE TO HAVE:
- Programming experience with .NET framework, C#
- Familiarity working with documents and using OCR technologies
- Familiarity with Windows Presentation Framework
- Full-stack development is good to have
#LI-NB1
Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned.
Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.
We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.
Location: Poland
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
What You’ll Do
Design, build, and maintain full-stack web applications, ensuring high performance, scalability, and security
Implement new features and enhancements in a well-tested, maintainable, and efficient way
Collaborate with Product managers and UX designers to create intuitive, responsive, and accessible interfaces
Review, analyze, and implement technical solutions to meet business requirements, driving resolution of issues and bugs
Contribute to architectural decisions, API design, and system integrations
Provide technical leadership to the engineering team - guide design discussions, perform code reviews, and support continuous improvement
Participate in task estimation, prioritization, and planning in alignment with engineering processes
What You Bring
Extensive professional expertise in Python/Node.js and proven experience with modern frontend frameworks (React.js, Vue.js, or Next.js)
Background job processing: queues, retries, idempotent jobs, handling a worker that fails mid-task
Hands-on knowledge of cloud services (preferably AWS) and database technologies (SQL/NoSQL)
Experience in contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and existing systems
Deep understanding of API development, microservices, and system integration
At least one project using LLM APIs with tool calling and streaming. A side project is fine. A simple chat interface on top of an API isn’t enough
At least one product you built from scratch and then maintained in production for a year or more
Nice to have
Temporal, Inngest or another durable execution tool
OpenTelemetry, ClickHouse or other tools for storing large volumes of logs and traces
Building MCP servers or clients
LangGraph, OpenAI Agents SDK or Claude Agent SDK
Protection against prompt injection, sandboxing tool execution
English Language
Upper-Intermediate
Legal & Hiring Information
Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more.
Reasonable accommodations are available to enable individuals with disabilities to perform essential functions.
Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs.
Compensation details are shared with candidates at the early stage of the recruitment process.
The offer is not binding until a signed contract is in place.
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
International projects
In-office, hybrid, or remote flexibility
Medical healthcare
Recognition program
Ongoing learning & reimbursement
Well-being program
Team events & local benefits
Sports compensation
Referral bonuses
Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Location: Lisbon, Portugal
About the Role
The Site Reliability Engineering team at iCapital is fundamental to ensuring our platform delivers consistent, reliable service to our client base. Our services run on Kubernetes in AWS, and this role focuses on keeping them healthy in production.
We're looking for the hands-on engineer others turn to when production is broken and the cause isn't obvious. You'll troubleshoot across the full stack (the application, its containers, Kubernetes, and the underlying cloud infrastructure) and turn what you learn into lasting improvements: stronger reliability standards, safer rollouts, sharper alerts, and automation that prevents repeat failures. You'll rely on metrics, logs, and traces every day, but the heart of this role is diagnosing and fixing what they reveal.
Responsibilities
Act as a senior escalation point for complex production issues in Kubernetes-based services, leading hands-on investigation across application, container, Kubernetes, and AWS layers through to root cause.
Partner with the teams that own our cluster infrastructure to resolve platform-level issues, and feed what you learn back into reliability standards and improvements.
Define and implement reliability and operability standards for Kubernetes-based services, including resource sizing, health checks, scaling patterns, rollout safety, and baseline monitoring, as part of service onboarding.
Serve as Incident Commander or senior technical lead for high-severity incidents, lead postmortems, and drive systemic improvements through action items and measurable follow-through.
Turn recurring investigations into runbooks, diagnostic tooling, and automated remediation that shorten time to resolution and eliminate toil.
Coach engineers in systematic troubleshooting and Kubernetes best practices through reviews, game days, and knowledge sharing.
Define, implement, and iterate service level objectives (SLOs) and service level indicators (SLIs) that reflect customer and business expectations.
Standardize monitoring and alerting through “monitors as code” (Terraform preferred), including quality gates such as severity, ownership, and runbook links.
Operate and tune OpenTelemetry pipelines, including sanitizing data, managing cardinality, and enriching telemetry with consistent fields.
Maintain the infrastructure behind our monitoring stack, including Helm charts, ArgoCD ApplicationSets, Kinesis streams, Lambda functions, and Prometheus.
Participate in on-call rotations with a focus on improving reliability, reducing alert noise, and increasing signal quality over time.
What You'll Need (Must-Haves)
5+ years in SRE or related roles, with evidence of technical seniority across multiple services and teams.
3+ years of hands-on experience running and troubleshooting production workloads on Kubernetes, with a deep understanding of how Kubernetes schedules, connects, scales, and rolls out workloads.
Proven ability to independently diagnose complex failures in distributed systems running on Kubernetes, spanning application, configuration, resource, networking, and scaling issues, including cases where the root cause wasn't obvious.
Strong Linux and networking fundamentals, with the ability to troubleshoot below the container layer.
Strong production experience with AWS, including how cloud networking and access controls affect workloads running in Kubernetes.
Strong incident response skills, including leading retrospectives/postmortems and following through on systemic fixes.
Strong IaC skills (Terraform preferred), with examples of reusable modules, monitors-as-code patterns, or similar standardization work, and the coding ability to build automation and diagnostic tooling.
Track record of defining SLOs/SLIs and using an observability stack (such as Prometheus/Grafana, New Relic, Splunk, or similar) to drive decisions and find root causes quickly.
Clear written and verbal communication, with the ability to influence engineering teams through standards, tooling, and practical guidance.
Nice to Have
Kubernetes certification (CKA or CKS) or equivalent depth.
Experience improving rollout safety and autoscaling behavior for Kubernetes workloads.
Familiarity with common data stores (Postgres, MongoDB, DynamoDB) and how they fail in distributed systems.
OpenTelemetry instrumentation experience at scale.
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office four days, with the flexibility to work remotely one day (Friday).
Benefits
iCapital offers a comprehensive benefits package that includes a total compensation program consisting of competitive salary, annual performance bonus, and equity for all full-time employees; healthcare with 100% employer-paid health and dental insurance; and generous paid time off (PTO).
For additional information on iCapital Network, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
Location: Kyiv, Ukraine
Workplace: Hybrid
[https://app.ashbyhq.com/api/images/user-content/eaa93aea-4a8e-480b-ac45-957f53a8b99b/230615d5-1e71-4618-8216-a6082a6261ae/Holy%20earth.png]
HOLYWATER TECH https://holywater.tech/ — це технологічна компанія, яка створює розважальні продукти на перетині людської творчості та штучного інтелекту. Вони є прикладами ШІ-нативних платформ, що переосмислюють способи сторітелінгу та дають змогу будь-кому стати творцем. Екосистема продуктів HOLYWATER TECH включає:
→ My Drama https://apps.apple.com/us/app/my-drama-watch-shorts-movies/id6498713494 — стримінгову платформу вертикальних серіалів, №1 серед європейських та американських компаній у ніші
→ My Passion https://apps.apple.com/us/app/my-passion-romance-books/id1568149521 — цифрову бібліотеку книг №1 у понад 10 країнах світу
→ My Muse https://apps.apple.com/ua/app/my-muse-audiobooks-stories/id6738098034 — платформу ШІ-генерованих серіалів, що відкриває нову еру сторітелінгу
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HOLYWATER TECH СЬОГОДНІ — ЦЕ:
- понад 100+ млн завантажень застосунків
- стратегічне партнерство з FOX Entertainment
- х2 рази — щорічне зростання компанії за 2024-2025 роки
- 30+ міжнародних нагород, зокрема Muse Creative, W3, Telly, Runway AI Film Festival, Lovie
- понад 100 млн годин переглянутого та прочитаного користувачами контенту
- провідні позиції у своїх нішах на ринках США та Європи
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Ми створюємо нові формати, історії та будуємо світ, де єдине обмеження — людська уява. І зараз шукаємо Senior Full-Stack Developer/Tech Lead, хто готовий/-а долучитися й творити його разом із нами.
ТВОЯ МІСІЯ:
- Взяти повну технічну відповідальність за новий продукт в екосистемі HOLYWATER TECH: самостійно проєктувати архітектуру, розробляти ключову функціональність і визначати технічні пріоритети.
- Розвивати canvas workflow editor та AI-агента: SSE-streaming, збереження стану, відновлення з'єднання, стабільність критичних сценаріїв.
- Будувати й розвивати AI/LLM-агентів і генераційні пайплайни: tool calling, streaming, оркестрація.
- Писати fullstack-код (backend ~50%, frontend ~20%, infrastructure ~20%) і самостійно доводити фічі до production.
- Запускати продуктові та платіжні експерименти end-to-end: від frontend/backend до A/B-тестів і коректної аналітики.
- Очолити Engineering: вибудувати планування, декомпозицію, розподіл задач, code review та контроль релізів.
___________________________________________________________________________
ДЛЯ ЦЬОГО ЗНАДОБЛЯТЬСЯ ТАКІ НАВИЧКИ ТА ДОСВІД:
- 5+ років інженерного досвіду, з них щонайменше 3 роки production-розробки на React/TypeScript.
- Підтверджений досвід: ти самостійно проєктував(-ла) архітектуру й запускав(-ла) в production AI-продукт, бажано з AI-агентами, генераційними пайплайнами або складними візуальними редакторами.
- Експертиза рівня Senior+/Staff у React, TypeScript, Next.js: складний client-side state, синхронізація та збереження даних.
- Сильний backend: Python, FastAPI, PostgreSQL, API, SSE, асинхронні процеси, архітектура сервісів.
- Практичний досвід з LLM в production: AI-агенти, tool calling, streaming, оркестрація.
- Впевнена робота з AWS, Kubernetes, CI/CD, Sentry, Grafana.
- Досвід технічного лідерства: архітектурні рішення, планування, постановка задач, code review, координація інженерів.
- Досвід розробки платіжних воронок, A/B-тестів та інтеграції продуктової аналітики.
- Щоденна робота з AI coding agents (Claude Code, Cursor, Codex або аналоги)
- Extreme ownership і продуктовий підхід: ти доводиш задачі до результату без постійного контролю, сам(-а) пропонуєш покращення й орієнтуєшся на бізнес-результат.
БУДЕ ПЛЮСОМ:
- Досвід у AI video generation або AI filmmaking, а також з canvas/workflow-редакторами (React Flow).
- Досвід з Temporal і розподіленими асинхронними системами.
- Досвід техліда в невеликому AI-стартапі або B2C SaaS.
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ЩО ОТРИМАЄШ ВІД НАС:
- Швидке професійне зростання. Ми будуємо середовище, де розвиток — норма: лекції, бібліотеки, хакатони, школи. Компенсуємо профільне навчання й вивчення будь-якої мови, зокрема української.
- Формат роботи на твій вибір. Можеш працювати вдома, в офісі на київському Подолі чи у Львові (генератори, укриття, обіди, снеки — all inclusive), або ж за кордоном — маємо кілька офісів і там.
- Техніку та сервіси. Все, що треба для роботи.
- Відпочинок. 20 днів відпустки + на офіційні свята та безлімітні лікарняні.
- Турботу про тіло та менталку. Компенсуємо спорт, медстрахування в Україні (після випробувального), послуги корпоративного лікаря і підтримку ментального здоров’я&
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ЧОМУ З НАМИ КЛАСНО?
- Реальний вплив. Твої рішення впливають на 100+ млн користувачів — їхній досвід, емоції та час, який вони проводять у продукті.
- Жива культура. Ми створюємо середовище, де можна експериментувати й пробувати щось нове. Середня оцінка відповіді на питання «Наскільки тобі подобається працювати в HOLYWATER?» за результатами eNPS — 9,23/10.
- Автономність. Ми довіряємо рішенням команди: мінімум мікроменеджменту, максимум простору для ініціативи й впливу.
- Сильні люди поруч. Ми постійно челенджимо статус-кво та досягаємо нових вершин. Думати інакше й прагнути більшого — тут це підтримають.
Можливо, це — твій шанс стати нашим наступним big name?
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ХОЧЕШ БІЛЬШЕ ПРО HOLYWATER TECH? ЧЕКНИ ЦЕ:
Як працює HOLYWATER TECH — на Vector Media https://vctr.media/ua/vid-banochki-svyatoyi-vodi-zi-lvova-do-ugodi-z-fox-entertainment-yak-praczyuye-holywater-startap-yakij-buduye-netflix-dlya-vertikalnogo-video-318305/
Інтерв’ю со-CEO Богдана Несвіта https://www.linkedin.com/in/bogdannesvit/ про партнерство FOX Entertainment для Forbes https://forbes.ua/innovations/maemo-60-mln-koristuvachiv-i-rostemo-duzhe-shvidko-ukrainska-holywater-znimatime-vertikalni-seriali-z-amerikanskoyu-fox-yak-vona-zaluchila-takogo-partnera-intervyu-25102025-33594
Як ми створюємо вертикальні серіали — у подкасті на DOU https://youtu.be/E5nKjr605vs?si=eHKKN6MhQrbEzi8k
Про вертикальні серіали, які змінюють індустрію — у Детектор медіа https://detector.media/mediumy/article/248303/2026-03-13-vid-tiktok-do-gollivudu-prodyuserka-holywater-tech-pro-vertykalni-serialy-yaki-zminyuyut-industriyu/
Наші Instagram https://www.instagram.com/holywater.tech/ та LinkedIn https://www.linkedin.com/company/holywater/?viewAsMember=true — щоб бути в курсі всього, що в нас відбувається
Хочеш творити історію разом із нами в HOLYWATER TECH?
Відгукнися на вакансію!
USA - New York (dbt); This is a full-time position, and candidates must be located in the greater NYC area and able to work in the office two days a week (Tuesday and Thursday)
Denver, Colorado, United States, AMER; This is a full-time position, and candidates must be located in the greater Denver area and able to work in the office two days a week (Tuesday and Thursday)
ГибридseniorBerlin Office; Iasi Office; London Office; Dublin