Location: Remote, California, 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.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran is building data pipelines to power the modern data stack for thousands of companies.
We’re looking for a Manager Sales Engineering Specialists to oversee our data platform Specialists functions. In this role, you will work alongside global Sales Engineering leadership to leverage a team of technical experts to accelerate our most complex enterprise deals, drive customer adoption after the sale, and improve the efficiency of the Sales Engineering motion at large. As customers build toward AI and agentic workloads, you will keep your team ahead of what those workloads demand of the data platform.
You will need a deep understanding of how modern data movement and transformation platforms like ours are architected, including the AI use cases built on top of them, and a keen ability to lead a team of highly specialized resources. You will be tasked with developing and retaining experienced, high-performing talent who can speak the language of enterprise architects, data engineers, and data platform owners, and with hiring where the team needs to grow.
This is a full-time position based in the US.
Technologies You’ll Use
Fivetran, dbt, Enterprise databases and applications (including SAP), cloud data warehouses and lakehouses (Snowflake, BigQuery, Databricks), open table formats (Apache Iceberg), dbt, SQL, reverse ETL, AI and agent tooling, AWS, GCP, Azure
What You’ll Do
Lead a team of tenured experts across our data platform specialties to act as technical liaisons between Sales Engineering, Sales, Product, and Engineering.
Support Global Sales teams by proactively embedding specialist functions to remove technical blockers in complex enterprise deals and in customer adoption after the sale.
Implement strategies to maximize deal velocity and customer adoption by streamlining how specialists are engaged, prioritized, and measured.
Execute hands-on tasks when needed, including architecture reviews, critical customer calls, or complex proofs of value.
Ensure the team provides timely, strategic, and accurate guidance during technical evaluations and customer escalations.
Build strong working relationships with strategic internal partners, including Product, Engineering, and other sales teams.
Coach team members to maximize performance and efficiency, and prepare them for future roles.
Ensure the team shares specialist knowledge across the field through enablement and documentation.
Keep the team current on how AI and agentic workloads change customer requirements, and turn that into field guidance.
Skills We’re Looking For
People Leadership:
Proven experience leading and developing a Sales Engineering, Solution Architecture, or other technical team, with people management experience preferred.
Technical Depth:
Hands-on expertise in one or more areas across the data lifecycle, such as database and application replication, SAP, lake and warehouse architectures, transformation, activation, or AI and context engineering, and the breadth to credibly lead specialists in other disciplines. Experience applying a narrower specialty across several of these areas also counts.
Cloud and Data Architecture:
Proficiency with major cloud providers (AWS, GCP, Azure), specifically regarding deployment and connectivity, and with modern data architectures, including cloud data warehouses and lakehouses.
AI Fluency:
Working understanding of how AI and agentic workloads change customers' data requirements, and fluency using AI tools to scale your own and your team's work.
Technical Sales Acumen:
Extensive Sales Engineering or specialist experience supporting complex enterprise sales cycles, including proofs of value and senior stakeholders, and deep knowledge of the broader technical sales and demonstration process.
Communication Skills:
Best-in-class ability to explain complex data and AI concepts to non-technical buyers and technical architects alike, and to influence Product and Engineering priorities with customer evidence.
Bonus Skills
Prior experience at an analytics, ETL, BI, or open-source data software company
Familiarity with dbt, Terraform, or similar tools for transformation and managing cloud infrastructure
Experience managing distributed teams across multiple regions and time zones
Hands-on experience with AI and context engineering, such as LLM applications, MCP, semantic layers, or metadata and retrieval
OTE (On Target Earning)
$212,004.29
—
$294,450.54 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.
УдалённоRemote, California, United States, AMER; Experience managing distributed teams across multiple regions and time zones
Location: Remote, New York, 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.
**THIS MUST BE FILLED OUT PRIOR TO SUBMITTING. Please do not change the headers for each section below.**
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran is building data pipelines to power the modern data stack for thousands of companies.
As a
Staff
Software Engineer
working on dbt Fusion, you’ll help build a next-generation analytics engine written in Rust that significantly improves performance, correctness, and developer experience across dbt workflows. You’ll work on a modern, state-aware execution engine with deep SQL understanding across multiple warehouses, enabling faster debugging, smarter orchestration, and more efficient large-scale deployments.
This role offers the opportunity to contribute to both open source and commercial code while shaping the future of dbt’s core platform.
This position is a
unique opportunity to work on mission-critical projects that will significantly improve the experience of our customers and developers
. You’ll help build truly differentiated systems and engines that sets us apart from other database technologies.
What You’ll Do
Collaborate with Product, Design, Operations, and Security to deliver well-architected, scalable compute solutions.
Participate in technical architecture discussions with a focus on
query engines, storage systems, and distributed database design.
Build services, APIs, and experiences that support user delight, quality, high availability, and performance.
Tackle ambiguous, open-ended technical challenges with strategic thinking, balancing technical constraints with user needs and product goals.
Drive best practices in testing, observability, and system reliability.
Champion a culture of technical excellence and innovation, influencing engineering direction across multiple teams or domains.
Skills We’re Looking For
Strong coding skills (10+ years) in at least one of the following technologies:
Rust, Python, Go or Java.
Familiarity with cloud infrastructure (AWS, GCP, Azure, Kubernetes, Terraform).
Proven ability to participate in complex projects and collaborate across functions.
Excellent problem-solving skills, clear communication, and a strong sense of ownership.
Interest in
systems, data infrastructure, compilers, or analytical tooling
, even if experience is primarily academic.
Experience working on
non-trivial projects
(coursework, internships, research, open-source, personal projects) that required persistence and iteration.
Willingness and enthusiasm to work across the stack and learn new technologies as the problem demands.
Evidence of being
self-directed and curious
—you proactively learn new tools, languages, or concepts when needed
Bonus Skills
Contributions to open source database technologies projects such as
Apache Arrow, DuckDB, MongoDB Runtime, or other analytical data systems.
Expertise in
database systems, query engines, or storage systems.
Experience with performance optimization, observability, or large-scale query engines.
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: New York, New York, United States
About the Role
iCapital is seeking an experienced, strategic-thinking Dynamics Tech Lead to support the launch and scalability of Microsoft Dynamics 365 across the enterprise. This role is responsible for hands-on development, configuration, and support of Microsoft Dynamics applications, ensuring the smooth operation and integration of Dynamics solutions to meet evolving business needs.
Responsibilities:
Lead day-to-day development for Dynamics 365 Customer Service and Dataverse, partnering closely with the Architect, Product Owner, and QA Lead while contributing hands-on code alongside the team.
Own code review standards and review changes across plug-ins, client scripts, Power Automate flows, and solution components.
Define engineering practices for solution layering, source control, branching, environment management, coding standards, templates, and reusable development patterns.
Own CI/CD pipelines in Azure DevOps, enabling repeatable and governed releases from development through production.
Deliver enhancements across case management, SLAs, queues, routing, security roles, and other core Dynamics 365 Customer Service capabilities.
Implement Dynamics 365 Contact Center capabilities, including channel configuration and unified routing.
Build Copilot Studio agents and Copilot features for service agents and customers, incorporating effective grounding, hand-off, and guardrail design.
Design and build enterprise integrations with platforms such as ServiceNow, Pega, and Salesforce using APIs, Dataverse, and Power Automate, with appropriate error handling and monitoring.
Launch secure customer self-service capabilities, including a portal with authentication, role-based access, and data protection suited to a regulated business.
Deliver a customer-facing chatbot integrated with the self-service portal, case management capabilities, and live agent hand-off.
Take technical ownership of the platform, including the technical backlog, codebase, solutions, and documentation, as part of the transition from the implementation partner.
Mentor developers, establish scalable engineering practices, and help shape the in-house engineering function, including proposing additional development hiring as demand grows.
Qualifications:
Extensive hands-on development experience with Microsoft Dynamics 365 Customer Service, Dataverse, and the Power Platform
Strong proficiency in C#, JavaScript, and TypeScript, including experience developing plug-ins, custom APIs, and client-side scripts
Demonstrated experience leading developers, conducting code reviews, mentoring team members, and establishing engineering standards for business-critical applications
Experience building enterprise integrations using REST APIs, including exposure to platforms such as ServiceNow, Pega, or Salesforce
Hands-on experience with Power Automate and CI/CD for Power Platform solutions, including experience with Azure DevOps
Strong understanding of security roles, authentication, secure access patterns, and data protection requirements for portals and external users
Experience developing conversational AI solutions, including Copilot Studio agents or comparable technologies
Experience with Dynamics 365 Contact Center or Omnichannel for Customer Service, including contact center capabilities and routing
Experience delivering customer self-service solutions, including Power Pages or other portals and customer-facing chatbots
Familiar with Azure services, including Functions, Service Bus, API Management, and Microsoft Entra ID
Experience supporting enterprise platforms in financial services or another regulated industry, including experience transitioning a platform from an implementation partner and building in-house development capabilities
Clear written and verbal communication skills, with the ability to explain technical decisions and trade-offs to both technical and business audiences
Microsoft certifications preferred, including Microsoft Certified: Dynamics 365 Customer Service Functional Consultant Associate (MB-230), Dynamics 365 Contact Center AI Engineer Associate (AB-250), Power Platform Developer Associate (AB-400), or Power Platform Solution Architect (PL-600)
Benefits
The base salary range for this role is $120,000 to $160,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
X: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Location: New York City Metropolitan Area; Manhattan, New York; New Jersey; Brooklyn, New York; Boston, Massachusetts; Connecticut; Pennsylvania; Trenton, New Jersey; Newark, New Jersey
Workplace: remote
Provectus is an AI consultancy founded in 2010 and led by its founders. As an AWS Premier Partner and an Anthropic Preferred Partner, we help Financial Services & Insurance and Healthcare & Life Sciences companies design, build, and operate production AI systems. With offices across North America, LATAM, and EMEA, we work with clients worldwide.
We are hiring an Account Executive to turn incoming enterprise leads into signed consulting engagements. Clients buy multi-month consulting engagements. You won't build pipeline from scratch. Anthropic and AWS share qualified enterprise leads with us.
Your job has four parts:
Qualify those leads quickly.
Run discovery with buyers at banks, insurers and life sciences companies.
Scope the work with our architects.
Close.
What you'll do:
Pick up new leads as they arrive, decide which to pursue, and be able to explain why.
Run discovery calls with business and technology leaders. Map their process, data, regulatory constraints, budget and decision path.
Work with delivery leads and architects to scope proposals and SOWs that we can deliver. You are selling consulting engagements, not software licenses.
Negotiate and close to a signed SOW, with the Chief Commercial Officer joining larger deals.
Run the full sales cycle: discovery, solution scoping, proposal, negotiation, close.
Translate Anthropic's product roadmap and partnership incentives into the client propositions.
Keep Anthropic and AWS partner reps informed on the leads they share, and take part in joint pipeline reviews.
Keep the CRM current and forecast your deals accurately.
Bring buyer objections and patterns from each industry back to leadership and marketing.
Travel for client meetings, up to 30% of your time.
What You Need:
2–4 years in a client-facing commercial role in a consulting or IT services firm where you closed deals yourself, such as account executive, account manager, or consultant who owned client sales. Be ready to share the specifics: what you closed, at what size, and how long each deal took.
OR experience with banks, insurers, or pharma/biotech companies in one of these roles: selling services or technology to them (including smaller deals you closed yourself or larger deals where you supported the lead); working on client projects at a consulting firm, including proposals or scoping; or working inside one of these companies on projects where you helped evaluate and select outside vendors.
Working knowledge of Financial Services (banking, insurance, capital markets) or Life Sciences (pharma, biotech). You have worked in the industry or sold into it, and you can discuss a buyer's process and regulatory constraints in their terms.
Experience selling services engagements or complex B2B deals with several stakeholders.
Clear written and spoken communication with director-, VP- and C-level buyers.
Comfort handling a steady volume of leads and choosing where to spend your time.
Strong plus:
Experience selling AI/ML, data or cloud services.
Experience working partner-referred leads from Anthropic, AWS, GCP or Azure.
Why this role is worth your time:
Leads arrive every day, so your time goes into closing rather than prospecting.
You learn enterprise AI consulting sales in two regulated industries.
You close with support: our architects scope the work with you, and the Chief Commercial Officer joins larger negotiations.
The delivery team can execute what you sell: 350+ people, 150+ certified architects, and 100+ customers in production.
Work at the intersection of two AI partnerships: Anthropic and AWS.
High-impact role with direct visibility to leadership.
Compensation and benefits:
Base $90–120K + commission, OTE range $140–170K.
The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data.
B2B contract model or full-time model.
Unlimited vacation policy.
Generous health, vision, and dental insurance, and life insurance.
401(k) matching plan.
Our process:
A 30/45-minute call with our recruiter.
An interview with the AE about a deal you closed.
An interview with the Chief Commercial Officer.
An interview with the CEO.
Location: San Francisco; New York City
Workplace: Remote
About Pinecone:
Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io http://pinecone.io.
What We Are Looking For:
We are looking for individuals who are accustomed to solving the enterprise market’s most complex problems. In this role you will work directly with the sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support Proof of Concepts, and ultimately close business.
About the Role:
As a Pinecone Solutions Engineer, you must share our passion about reinventing the Data Cloud space, thrive in a dynamic environment and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with officials and talking shop with technical audiences.
In this role, you will:
- Present Pinecone technology and vision to officials and technical contributors at prospects and customers
- Work hands-on with prospects and customers to demonstrate and communicate the value of Pinecone technology throughout the sales cycle, from demo to proof of concept to design and implementation
- Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Pinecone in relation to them.
- Collaborate with Product Management, Engineering and Marketing to continuously improve Pinecone’s products and marketing
Preferred Background:
- 5-7 years of enterprise experience in a customer and prospect facing pre-sales role
- Outstanding presenting skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
- Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies
- Hands-on expertise with SQL and SQL analytics
- Ability to connect a customer’s specific business problems and Pinecone’s solutions
- Broad knowledge of cloud platforms; AWS, Azure & GCP is preferred
- University degree in computer science, engineering, mathematics or related fields or equivalent experience preferred
- Skills in Data Science and Data Applications Development, including knowledge of; Scala, Python and JavaScript is a bonus
Perks & Benefits:
- Comprehensive health coverage including Medical, Dental, Vision
- Free mental health therapy sessions; free One Medical, Tela-doc, and Health Advocate subscriptions
- Equity award
- 401(k)
- Flexible time off
- Paid parental leave
- Annual Department Retreat
- WFH Equipment Stipend
Diversity, Equity, Inclusion and Belonging (DEIB) are the cornerstone of everything we do at Pinecone. Studies have shown that women and people of color are less likely to apply for jobs unless they believe they meet every one of the qualifications in a job description. Our top priority is finding the best candidate for the job and if you are interested in the position, we would encourage you to apply, even if you don’t believe you meet every one of the qualifications listed in this posting. All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.
We are hiring an engineer to own the document processing pipelines end to end: design, benchmarking, experimenting with new architectures and tools, threshold required for deploying a new pipeline, etc. Design the pipelines.
УдалённоseniorСША; Small team, direct access to large datasets, weekly planning, daily standup, everyone remote in US timezones
Location: Pennsylvania; Massachusetts; Maryland; Connecticut; New Jersey; Delaware; Rhode Island
Workplace: remote
Provectus is an AI consultancy founded in 2010 and led by its founders. As an AWS Premier Partner and an Anthropic Preferred Partner, we help Financial Services & Insurance and Healthcare & Life Sciences companies design, build, and operate production AI systems. With offices across North America, LATAM, and EMEA, we work with clients worldwide.
We are hiring an Account Executive to turn incoming enterprise leads into signed consulting engagements. Clients buy multi-month consulting engagements. You won't build pipeline from scratch. Anthropic and AWS share qualified enterprise leads with us.
Your job has four parts:
Qualify those leads quickly.
Run discovery with buyers at banks, insurers and life sciences companies.
Scope the work with our architects.
Close.
What you'll do:
Pick up new leads as they arrive, decide which to pursue, and be able to explain why.
Run discovery calls with business and technology leaders. Map their process, data, regulatory constraints, budget and decision path.
Work with delivery leads and architects to scope proposals and SOWs that we can deliver. You are selling consulting engagements, not software licenses.
Negotiate and close to a signed SOW, with the Chief Commercial Officer joining larger deals.
Run the full sales cycle: discovery, solution scoping, proposal, negotiation, close.
Translate Anthropic's product roadmap and partnership incentives into the client propositions.
Keep Anthropic and AWS partner reps informed on the leads they share, and take part in joint pipeline reviews.
Keep the CRM current and forecast your deals accurately.
Bring buyer objections and patterns from each industry back to leadership and marketing.
Travel for client meetings, up to 30% of your time.
What You Need:
2+ years in a client-facing commercial role in a consulting or IT services firm where you closed deals yourself, such as account executive, account manager, or consultant who owned client sales. Be ready to share the specifics: what you closed, at what size, and how long each deal took.
OR experience with banks, insurers, or pharma/biotech companies in one of these roles: selling services or technology to them (including smaller deals you closed yourself or larger deals where you supported the lead); working on client projects at a consulting firm, including proposals or scoping; or working inside one of these companies on projects where you helped evaluate and select outside vendors.
Working knowledge of Financial Services (banking, insurance, capital markets) or Life Sciences (pharma, biotech). You have worked in the industry or sold into it, and you can discuss a buyer's process and regulatory constraints in their terms.
Experience selling services engagements or complex B2B deals with several stakeholders.
Clear written and spoken communication with director-, VP- and C-level buyers.
Comfort handling a steady volume of leads and choosing where to spend your time.
Strong plus:
Experience selling AI/ML, data or cloud services.
Experience working partner-referred leads from Anthropic, AWS, GCP or Azure.
Why this role is worth your time:
Leads arrive every day, so your time goes into closing rather than prospecting.
You learn enterprise AI consulting sales in two regulated industries.
You close with support: our architects scope the work with you, and the Chief Commercial Officer joins larger negotiations.
The delivery team can execute what you sell: 350+ people, 150+ certified architects, and 100+ customers in production.
Work at the intersection of two AI partnerships: Anthropic and AWS.
High-impact role with direct visibility to leadership.
Compensation and benefits:
Base $90–120K + commission, OTE range $140–170K.
The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data.
B2B contract model or full-time model.
Unlimited vacation policy.
Generous health, vision, and dental insurance, and life insurance.
401(k) matching plan.
Our process:
A 30/45-minute call with our recruiter.
An interview with the AE about a deal you closed.
An interview with the Chief Commercial Officer.
An interview with the CEO.
Location: New York, New York; Manhattan, New York; Brooklyn, New York; Trenton, New Jersey; Yonkers, New york; New York City Metropolitan Area; Newark, New Jersey
Workplace: remote
Provectus is an AI consultancy founded in 2010 and led by its founders. As an AWS Premier Partner and an Anthropic Preferred Partner, we help Financial Services & Insurance and Healthcare & Life Sciences companies design, build, and operate production AI systems. With offices across North America, LATAM, and EMEA, we work with clients worldwide.
We are hiring an Account Executive to turn incoming enterprise leads into signed consulting engagements. Clients buy multi-month consulting engagements. You won't build pipeline from scratch. Anthropic and AWS share qualified enterprise leads with us.
Your job has four parts:
Qualify those leads quickly.
Run discovery with buyers at banks, insurers and life sciences companies.
Scope the work with our architects.
Close.
What you'll do:
Pick up new leads as they arrive, decide which to pursue, and be able to explain why.
Run discovery calls with business and technology leaders. Map their process, data, regulatory constraints, budget and decision path.
Work with delivery leads and architects to scope proposals and SOWs that we can deliver. You are selling consulting engagements, not software licenses.
Negotiate and close to a signed SOW, with the Chief Commercial Officer joining larger deals.
Run the full sales cycle: discovery, solution scoping, proposal, negotiation, close.
Translate Anthropic's product roadmap and partnership incentives into the client propositions.
Keep Anthropic and AWS partner reps informed on the leads they share, and take part in joint pipeline reviews.
Keep the CRM current and forecast your deals accurately.
Bring buyer objections and patterns from each industry back to leadership and marketing.
Travel for client meetings, up to 30% of your time.
What You Need:
2+ years in a client-facing commercial role in a consulting or IT services firm where you closed deals yourself, such as account executive, account manager, or consultant who owned client sales. Be ready to share the specifics: what you closed, at what size, and how long each deal took.
OR experience with banks, insurers, or pharma/biotech companies in one of these roles: selling services or technology to them (including smaller deals you closed yourself or larger deals where you supported the lead); working on client projects at a consulting firm, including proposals or scoping; or working inside one of these companies on projects where you helped evaluate and select outside vendors.
Working knowledge of Financial Services (banking, insurance, capital markets) or Life Sciences (pharma, biotech). You have worked in the industry or sold into it, and you can discuss a buyer's process and regulatory constraints in their terms.
Experience selling services engagements or complex B2B deals with several stakeholders.
Clear written and spoken communication with director-, VP- and C-level buyers.
Comfort handling a steady volume of leads and choosing where to spend your time.
Strong plus:
Experience selling AI/ML, data or cloud services.
Experience working partner-referred leads from Anthropic, AWS, GCP or Azure.
Why this role is worth your time:
Leads arrive every day, so your time goes into closing rather than prospecting.
You learn enterprise AI consulting sales in two regulated industries.
You close with support: our architects scope the work with you, and the Chief Commercial Officer joins larger negotiations.
The delivery team can execute what you sell: 350+ people, 150+ certified architects, and 100+ customers in production.
Work at the intersection of two AI partnerships: Anthropic and AWS.
High-impact role with direct visibility to leadership.
Compensation and benefits:
Base $90–120K + commission, OTE range $140–170K.
The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data.
B2B contract model or full-time model.
Unlimited vacation policy.
Generous health, vision, and dental insurance, and life insurance.
401(k) matching plan.
Our process:
A 30/45-minute call with our recruiter.
An interview with the AE about a deal you closed.
An interview with the Chief Commercial Officer.
An interview with the CEO.
Location: Chicago, IL or Remote
CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the
multi-trillion-dollar
insurance economy
,
creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and
seamlessly. We’re
pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair
journey. Through
purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at
www.cccis.com
.
The Role
As a Senior AI Engineer you will own LLM-powered systems and agentic workflows for our customers. These systems automate the routine parts of a claim and guide customers on the rest, so they have to earn that trust with a measured accuracy you can defend as models change and usage grows. Agents run as steps inside deterministic workflows, and privacy and security are design baselines, not review gates. Agentic coding tools are how you move fast. What you add is what they are worst at: system architecture, code quality, security, and the debugging nobody else gets to the bottom of. You own a product area end to end and define the eval bar it ships against.
Salary range is:
$180,000 - 225,000
This position is bonus eligible.
Key Responsibilities:
Own the delivery of LLM-powered systems in Python and TypeScript, from an ambiguous customer problem, scoped with product managers and data scientists, through production operation.
Set the evals and guardrails strategy for your area: what gates a release, what production signals the team watches, and how a change is simulated against historical claims before it ships.
Raise the bar for how the team works with agentic coding tools: sharpen the specifications, instruction files, hooks, and permission policies they run under, and hold generated code to the same review standard before it merges.
Design the NLP pipelines that turn unstructured claim data into structured data customers can act on, choosing where semantic search, classical NLP, or an LLM fits.
Build and operate durable, event-driven, multi-tenant systems in which agents run as steps inside deterministic workflows, designing their failure modes, replay semantics, and cost profile before they show up under load.
Own tracing and audit for your area: every model call and agent step recorded, so any recommendation can be reconstructed and cited back to its sources by on-call and auditors alike.
Set the privacy and security baseline every system in your area starts from: tenant isolation, least-privilege access for agents and their tools, redaction, retention, and what data may reach a model provider.
Author the design documents for complex systems to get feedback and buy-in, review other engineers' designs and code with the same care, and mentor the engineers in your area.
Take part in a shared on-call rotation for the systems you own.
Requirements:
6+ years of professional software engineering experience, including an LLM-powered system you architected, shipped to external customers, and carried through at least one model or prompt migration.
Python and TypeScript at the level of setting a team's conventions: the async model, typing strictness, and test strategy for a shared codebase, plus a performance problem you profiled and fixed.
An evals and guardrails strategy you set for a product area others built in: where human approval was required, and how production corrections re-entered the evals.
A clear account of how you constrain an agentic coding tool's context and verify its output, from daily use of Claude Code, Cursor, GitHub Copilot, or similar on production work, plus changes you turned back, and why.
Pipelines you designed that blend LLMs, semantic search, and classical NLP, including a retrieval design you can defend and a case where a classical technique beat an LLM on cost, latency, or reliability.
Durable, event-driven systems you designed with deterministic orchestration around non-deterministic model steps: compensating actions, idempotency, backpressure, and event-sourced replay.
Data modeling and development across relational, document, and graph databases such as PostgreSQL, MongoDB, and Neo4j, including when each type fits and the partition-key, consistency, and tenant-isolation calls you made.
Systems architected and operated on Azure or AWS, with CI/CD and infrastructure as code, and hands-on time with a durable workflow engine such as Temporal or the Durable Task Scheduler.
Technical design documents you have authored for systems that span more than one team, used to get feedback and buy-in before building, and that those teams then built to.
Clear writing and discussion for technical and non-technical audiences: drawing out a customer's real problem and explaining the trade-offs back to them.
Even Better if You Have:
React and TypeScript experience, so you can deliver a full-stack feature end to end, especially chat, streaming, and citation-heavy AI experiences.
Experience with agent frameworks, LangGraph, PydanticAI, and the Microsoft Agent Framework among them, and with the ways agents reach their tools: the Model Context Protocol (MCP), the Agent2Agent (A2A) protocol, command-line tools, and microservices.
Experience with LLM observability and evaluation tooling such as LangSmith, Arize, or Braintrust, and with OpenTelemetry-based tracing.
Experience designing A/B tests for AI features.
Exposure to the insurance, claims, or automotive repair domains.
What Success Looks Like:
In your first six months, every model change in your area is gated by evals you designed, regressions are caught before a customer sees them, and you can show the accuracy number held or moved.
You are trusted with the high-stakes, ambiguous problems, and you turn them into a roadmap, a shipped system, and a number you can put in front of a customer.
You are energized by what agentic coding tools make possible. Your team ships more than its headcount suggests, and your specifications and reviews are why the output survives production.
You have a passion for systems that last: the ones you design have their failure modes understood in advance, and when one fails anyway, the trace says exactly where.
Privacy and security reviews of systems in your area find nothing that was not already designed in.
Standards you set for evals, reviews, and design documents outlive the project they started on.
Engineers you mentor ship LLM-powered features with evals and guardrails in place without your direct involvement.
You enjoy getting a product manager, a data scientist, and a customer's team into one room and coming out with a single agreed scope, and you can argue a position without needing to win it.
You embrace our ambitious, collaborative, and empathetic values, and you like problems where the answer has to be measured rather than argued.
Interview Policy & Privacy Notice:
A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available
HERE
.
About CCC's Commitment to Employees:
CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most.
At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC’s success.
CCC offers competitive compensation and benefits to support you and your families, including:
401K Match
Paid time off
Annual Incentive Plan Performance Bonus
Comprehensive health insurance
Adoption Assistance
Tuition Reimbursement
Wellness Programs
Stock Purchase Plan options
Employee Resource Groups
For more information about our benefits, please check out our
careers site
.
Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture
here
Location: Chicago, IL or Remote
CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the
multi-trillion-dollar
insurance economy
,
creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and
seamlessly. We’re
pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair
journey. Through
purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at
www.cccis.com
.
The Role
As an AI Engineer you will build and ship LLM-powered features and agentic workflows for our customers. These features automate the routine parts of a claim and guide customers on the rest, so they have to earn that trust with measured accuracy, not a convincing demo. Agents run as steps inside deterministic workflows, and privacy and security are design baselines, not review gates. Agentic coding tools are how you move fast. What you add is what they are worst at: system design, security, and hard debugging. You own features end to end.
Salary range is:
$170,000 - 195,000
This position is bonus eligible.
Key Responsibilities:
Ship LLM-powered features and agentic workflows in Python and TypeScript, from a problem scoped with product managers and data scientists through production traffic, and help set the metrics you will be measured against.
Write the evals, guardrails, and feedback loops that make your features trustworthy, and hold them to explicit token and latency budgets.
Use agentic coding tools every day, and own the review of what they produce: catch the correctness, security, and design problems in generated code before you open the pull request.
Maintain and extend the NLP pipelines that turn unstructured claim data into structured data customers can act on, blending semantic search, classical NLP, and LLMs.
Build and operate durable, event-driven services in which agents run as steps inside deterministic workflows, with checkpointed model outputs so a retry does not re-invoke a completed LLM step.
Trace every model call and agent step so a recommendation can be reconstructed and audited, with citations back to the source documents, and wire that tracing into your alerts.
Model and query claims data across relational, document, and graph stores.
Design privacy and security in from the start: tenant isolation, least-privilege access for agents and their tools, and a clear rule for what data may reach a model provider.
Write a technical design document before any significant change, and use it to get feedback and buy-in from the team before you build.
Take part in a shared on-call rotation for the services you build.
Requirements:
3+ years of professional software engineering experience, including at least one LLM-powered feature you shipped and then operated in production.
Python and TypeScript: typed, tested, async code in both, and real depth in one.
Evals you have designed for LLM output, plus guardrails you have shipped.
A clear account of how you constrain an agentic coding tool's context and verify its output, from daily use of Claude Code, Cursor, GitHub Copilot, or similar on production work.
Pipelines that blend LLMs with semantic search and classical NLP: structured output, tool calling, embedding-based retrieval, and a case where a classical technique beat an LLM.
Services built on message- or event-driven architectures, including long-running workflows with retries, idempotent handlers, and event-sourced state, plus an LLM or agent step you ran inside one.
Data modeling and development across relational, document, and graph databases such as PostgreSQL, MongoDB, and Neo4j, including when each type fits and the partition-key, consistency, and tenant-isolation calls you made.
Backend services built and operated on Azure or AWS, and exposure to a durable workflow engine such as Temporal or the Durable Task Scheduler.
Technical design documents you have written to get feedback and buy-in from a team before building, and that the team then built to.
Clear writing and discussion for technical and non-technical audiences, and code review you can give as well as take.
Even Better if You Have:
React and TypeScript experience, so you can deliver a full-stack feature end to end. Chat, streaming, and citation-heavy AI experiences especially.
Experience with CI/CD pipelines and infrastructure as code such as Terraform or Bicep.
Experience with agent frameworks, LangGraph and the Microsoft Agent Framework among them, and with the ways agents reach their tools: the Model Context Protocol (MCP), the Agent2Agent (A2A) protocol, command-line tools, and microservices.
Experience with LLM observability and evaluation tooling such as LangSmith, Arize, or Braintrust, and with OpenTelemetry-based tracing.
Experience designing A/B tests for AI features, or what-if simulations that replay historical claims through a proposed change before it ships.
Exposure to the insurance, claims, or automotive repair domains.
What Success Looks Like:
In your first six months you ship an LLM-powered feature, its evals run in CI, and you can name the metric it moved.
When a model migration or prompt change causes a regression, the evals you wrote catch it before a customer does.
You take ownership from concept to production with light direction, asking the right questions early.
You care that things hold up: the services you build survive retries, partial failures, and model migrations without incidents a customer can see.
When something goes wrong in production, the trace tells you which step and which model call, and you can show an auditor the same thing.
Privacy and security reviews of your features find nothing that was not already designed in.
You enjoy the craft, and it shows: engineers pick up your patterns without being told to.
You enjoy the back-and-forth that gets a feature scoped, and you can argue a position without needing to win it.
You embrace our ambitious, collaborative, and empathetic values, and you like problems where the answer has to be measured rather than argued.
Interview Policy & Privacy Notice:
A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available
HERE
.
About CCC's Commitment to Employees:
CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most.
At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC’s success.
CCC offers competitive compensation and benefits to support you and your families, including:
401K Match
Paid time off
Annual Incentive Plan Performance Bonus
Comprehensive health insurance
Adoption Assistance
Tuition Reimbursement
Wellness Programs
Stock Purchase Plan options
Employee Resource Groups
For more information about our benefits, please check out our
careers site
.
Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture
here
Location: Denmark - Remote
Who is Tenable?
Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey!
What makes Tenable such a great place to work?
Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together!
Your Role:
At Tenable, we seek a passionate and skilled Presales Security Engineer covering Denmark and Norway to join our team. In this role, you’ll be crucial in driving sales success and enhancing our customers' experience through your technical expertise. You'll work alongside Sales Representatives and a talented team to set Tenable apart from the competition, build lasting customer relationships, and create enthusiastic advocates for our solutions. You must speak
Fluent/Native Danish and English.
What You'll Do:
Deliver Technical Excellence:
Present technical demonstrations of Tenable’s platform products, showcasing their value and differentiation to potential customers.
Manage Evaluations:
Oversee enterprise software trials and "Proof of Value" evaluations, ensuring they align with customer goals.
Solve Real Problems:
Address customer challenges and business needs with consultative security and compliance expertise.
Engage and Educate:
Answer technical questions and provide insights, occasionally presenting at local events and conferences.
Support Sales Efforts:
Work closely with sales representatives to achieve or exceed revenue targets, support local partners in enterprise deals, and respond to RFIs and RFPs.
What We’re Looking For:
Technical Expertise:
Experience with Nessus or other network scanning
technologies and solid foundational knowledge of TCP/IP and network security concepts.
Cyber Security & Cloud Knowledge:
Familiarity with the Cyber Security ecosystem both on-prem and in the Cloud, including CMDB, Ticketing, Patch Management, PAM, etc.
Compliance Awareness:
Understanding of international & local compliance standards (e.g., NIS2, DORA, PCI, FISMA, SOX, NERC, CIS, DIS STIG).
Effective Communicator:
Excellent communication and presentation skills, with the ability to adapt based on the audience and effectively frame problems and solutions. Strong teamwork skills are essential, as collaboration is at the heart of this role’s success.
Flexibility:
Willingness to travel as needed within your territory (up to 25%).
Relationship:
Build a good relationship with customers, partners and your peers.
Drive Activities:
Demo’s, Workshop’s, Technical Meetings for customers & partners, Events and Webinars, Capture the Flag activities.
Bonus Points For:
Experience:
5-7 years of direct Pre-Sales Engineer experience.
Certifications:
Cloud certifications in AWS, GCP &/or Azure. CISSP or equivalent.
Network Knowledge:
Understanding of TCP/IP and network security concepts.
System Experience:
Experience with enterprise-class operating systems at the security admin level.
Embracing AI:
Experience and Creative in using AI capabilities.
DevOps Skills:
Proficiency in Docker, DevOps, API scripting, and Python SDK.
Proactive Attitude:
A self-starter who stays up to date with current technologies.
Interview Process
Recruiter Interview – 1st Stage - Virtual
Hiring Manager Interview – 2nd Stage – Virtual
Tech Assessment
- 3rd Stage - Virtual
Job Skills Interview - 4th Stage - Face to Face
Senior Stakeholder Panel Interview – Final Stage - Virtual
Apply Today!
If you’ve read this far and are still unsure if you should apply, we encourage you to go for it! At Tenable, we believe there’s no such thing as a perfect candidate. Whether you meet all the listed qualifications or just a few, we welcome your application. We value diverse perspectives and backgrounds and are excited to see what you can bring to our team.
Join us at Tenable, where your passion and expertise can make a real difference
every day.
#LI-JG1
#LI-Remote
This is the expected salary range for this position in the primary job location, depending on experience and qualifications. Compensation for the role will depend on a number of factors, including the candidate's qualifications, skills, competencies, location and experience, and may fall outside of the range shown. Employees are also eligible for variable compensation in addition to base pay (commission for sales roles, bonus for non-sales roles), depending on company and individual performance. Tenable also offers a variety of Competitive wellness and financial benefits.
EU Pay Range
725.000 kr.
—
965.000 kr. DKK
We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels. If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact
Recruiting@Tenable.com
for further assistance.
Tenable Data Consent Statement
Tenable is committed to protecting the privacy and security of your personal data. Depending on your location, one or more of the following notices may apply to you:
General Applicant Privacy Notice
California Applicant Privacy Notice
EU/EEA/UK Applicant Privacy Notice
- Построение и развитие процессов CI/CD для проектов на платформе 1С:Предприятие. - Автоматизация сборки, тестирования, проверки качества и поставки конфигураций и расширений 1С.
Location: Amsterdam, Netherlands; Remote - Europe
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.
#LI-IV1
The role
The Service Desk IT Operations Lead is the senior individual contributor on the Service Desk path and the senior technical escalation point for Service Desk across
EMEA
and
APAC
. The role owns and improves Service Desk processes, runbooks, escalation paths, the employee hardware lifecycle and new-hire IT onboarding, administers Service Desk tooling on behalf of its owners, and leads improvement initiatives and cross-functional projects. It acts as the bridge between the Service Desk and Infrastructure, Enterprise Applications and Security, and leads through expertise, judgment and influence rather than formal authority. It carries no line-management responsibility.
Your responsibilities will include:
Serve as the final technical escalation point within Service Desk for high-severity, high-complexity and business-critical issues, before engagement of Infrastructure, Enterprise Applications, Security or vendors; coordinate major-incident response, communication and post-incident follow-through with the relevant teams.
Act as consultation point for L1/L2 on complex or unusual cases: advise on troubleshooting approach, ownership, escalation path and resolution before issues are escalated.
Act as subject matter expert for the end-user computing environment: endpoints (Windows, macOS), mobile devices, identity and access (Entra ID / Active Directory,
SSO
,
MFA
), Microsoft 365,
MDM
, collaboration tools and meeting-room technology.
Administer and configure Service Desk tooling (e.g. Jira Service Management workflows and automation, device enrolment and
MDM
policy, hardware asset management tooling) as agreed with the tool and platform owners, and propose and implement improvements, including request workflows and automations used by adjacent functions. Ownership of the tools and platforms sits with IT leadership and platform owners.
Administer selected corporate IT systems and services according to operational requirements, including access and permissions management, service configuration and automation.
Maintain and improve Service Desk procedures, runbooks, escalation paths and knowledge base; propose technical standards for approval by Service Desk management and maintain them once approved; advise on operational priorities.
Contribute to creating and updating documentation: runbooks, process documents, technical standards and knowledge-base articles, setting the standard for documentation quality across the team.
Analyze ticket, escalation and
SLA
data to identify systemic issues and contribute to
SLA
reporting; lead root-cause analysis and problem management; design process, tooling and automation changes that improve first-time resolution and reduce escalation volume.
Assess proposed solutions and operational changes for supportability and user impact; advise management and partner teams on the support implications of technology decisions.
Provide organizational context on existing and legacy IT processes, systems, decisions and ownership structures; apply it when evaluating current processes, and improve legacy practices where appropriate.
Identify gaps or ambiguities in operational ownership and work with the relevant stakeholders to establish practical solutions.
Own and improve employee-lifecycle processes, including hardware provisioning and, with Onboarding and People teams, new-hire IT onboarding across
EMEA
and
APAC
.
Recommend standards for company-provided laptops, peripherals and other end-user equipment, balancing business need, supportability, lifecycle and market availability; maintain the approved standards.
Own employee hardware lifecycle processes, provisioning, replacement, reuse, return, disposal and employee resale, and provide demand forecasts and regional requirements (including Bill & Hold) to IT Supply Chain and Procurement; recommend routine purchases against agreed standards, approving only within a documented delegated spend limit.
Lead and continuously improve equipment reuse and employee resale, including TechShop.
Contribute to forecasting and budget planning for employee technology and Service Desk requirements.
Support Service Desk contracts, renewals and licensing; maintain working relationships with hardware and Service Desk vendors.
Lead Service Desk projects, system migrations, new technology rollouts, process optimization, and contribute Service Desk expertise to company initiatives such as regional expansion, office launches, organizational changes and onboarding improvements, working with Infrastructure, Enterprise Applications, Security, HR/People, Onboarding, Recruiting, Procurement, Workplace/Facilities and the
AV
/Builds team.
Advise partner functions on Service Desk capabilities, procedures, requirements and dependencies, and work with them to define and improve shared operational processes (e.g. joiner/mover/leaver with People, office launches with Workplace).
Act as technical interviewer in Service Desk recruitment, providing structured feedback and hiring recommendations to management, and technical input to role requirements.
Deliver technical onboarding for new team members and mentor L1 and L2 through joint troubleshooting, coaching and knowledge transfer, documenting approaches to reduce reliance on individual knowledge.
Stay hands-on: support the IT Bar, queue and events alongside L1/L2 when needed, and lead by example on ticket quality and communication.
Provide operational evidence for audits and compliance (including equipment lifecycle and offboarding); follow security, access-governance and procurement requirements; escalate material concerns to the appropriate owner.
We expect you to have:
Bachelor’s degree in Information Technology or related field, or equivalent experience.
5+ years of IT support or service desk experience with demonstrated progression in responsibility.
Advanced technical certifications (Microsoft 365, Azure,
ITIL
Intermediate, Security+, etc.) strongly preferred.
Deep knowledge of enterprise IT systems, networks, and security practices.
Strong leadership, coaching, and collaboration skills.
Proven ability to manage high-priority incidents and lead cross-functional troubleshooting efforts.
Related Competencies
Knowledge & Skills
Recognised expert in end-user computing and support operations, with breadth across endpoints, identity, collaboration, device management and security touch points.
Diagnoses ambiguous, cross-platform issues; experienced in root-cause analysis and process optimisation.
Translates complex issues into clear guidance for technical and non-technical audiences.
Autonomy
Operates with a high degree of independence and trusted judgment.
Takes the most sensitive escalations from intake to follow-up.
Independently identifies improvements and drives them to completion; proactively pitches projects within the Service Desk domain.
Advises management and partner teams on the support implications of technology decisions. Significant spend, strategic or organisational changes, and decisions outside delegated authority are aligned with management.
Complexity
Handles the most complex technical and operational problems in the support function: multiple systems, conflicting signals, incomplete data, elevated business risk.
Leads escalations, often coordinating multiple IT functions.
Designs and improves workflows and procedures where no precedent exists.
Impact
Broad impact on service reliability,
SLA
performance, support maturity and user experience across
EMEA
and
APAC
.
Reduces downtime, repeat incidents and escalation volume.
Shapes employee technology from onboarding through equipment return; ensures knowledge transfer and team readiness.
People / Leadership
Leads through expertise, coordination and example, not formal authority.
Escalation point and mentor for L1 and L2; shapes team capability over time. Technical interviewer.
No line management: hiring decisions, performance, compensation and other people-management accountabilities sit with Service Desk management.
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.
Задачи:
— Лидировать виртуальную команду поддержки и эксплуатации (3-я линия поддержки), которая занимается развитием продукта и его эксплуатацией для большого количества клиентов и партнеров;
— Обеспечивать доступность (SLA, SLO, SLI) платформы для конечных пользователей;
— Отвечать за надежность облачных сервисов Cloud.ru Evolution для клиентов и партнеров;
— Управлять жизненным циклом запуска продуктов (private preview, public preview, general availability);
— Отвечать за процессы Change Management, Problem Management в рамках платформы собственной разработки;
— Работать вместе с командой разработки (4 продуктовых направлений) над стабильностью и эффективностью сервисов Облачной платформы;
— Внедрять изменения в платформу для повышения NPS продуктов.
Требования:
— Готовность брать на себя ответственность за запуск технически сложных продуктов и обеспечивать их сопровождение;
— Понимание процессов поддержки и опыт управления инженерами в линейной или матричной структуре;
— Знание работы PaaS-сервисов и отказоустойчивой инфраструктуры продуктов;
— Опыт построения процессов поддержки и эксплуатации, включая автоматизацию и мониторинг;
— Понимание значения метрик SAT/CSAT, NPS, SLO, SLA;
— Опыт работы и понимание архитектуры микросервисов;
— Знакомство с современными подходами к разработке и сопровождению ПО (CI/CD, DevOps, SRE);
— Навыки работы с инструментами автоматизации (Ansible, Terraform) и контейнерами с оркестрацией (Docker, Kubernetes);
— Опыт работы с услугами облачных провайдеров (Google Cloud, AWS, Azure, Yandex Cloud, VK Cloud) будет плюсом;
— Опыт работы с крупными клиентами, использующими облачные сервисы.
Location: Novi Sad, South Bačka, Serbia, EMEA
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
We’re looking for a Senior Software Engineer to join
Cloud Signals
, the team behind the systems that measure, bill, and talk to our customers across the dbt platform and, more and more, the combined Fivetran + dbt product.
Cloud Signals owns:
Billing and usage metering:
turning product activity into accurate, auditable usage and billing data, including the integration of Fivetran and dbt billing into one consolidated system.
Vortex, our telemetry and event pipeline:
high-volume event ingestion that feeds the warehouse, product analytics, and downstream systems.
The Notification System:
the shared service that sends transactional and product notifications (email, in-app, Slack) for teams across the platform.
Usage and admin reporting:
giving customers clear visibility into consumption as we move toward consumption-based pricing.
As a Senior engineer you’ll own major features and components of these systems from design to production. You’ll be a go-to technical voice on the team and help shape how we build.
Technologies You’ll Use
Python and TypeScript for backend services and APIs (Rust, Go, or Java experience also welcome)
Relational databases (PostgreSQL) and cloud data warehouses (Snowflake)
Event streaming and messaging systems (Kafka or similar)
AWS (plus exposure to GCP or Azure), Docker, and Kubernetes
Terraform for infrastructure as code
Datadog for observability, alerting, and on-call
Third-party billing and payment platforms, plus internal and public REST APIs
AI coding assistants and agents (e.g., Claude Code) as part of everyday development
What You’ll Do
Design, build, and run features across billing, usage metering, telemetry, and notifications, writing high-quality, well-tested code that holds up in production.
Own technical projects from start to finish: break down requirements, write design docs, estimate and plan the work, and see it through rollout.
Help deliver the Fivetran + dbt billing integration, with a focus on correct usage data, reliable pipelines, and smooth migrations.
Improve Vortex and the Notification System by onboarding new event types and use cases, making them more reliable, and lowering cost.
Work closely with Product, Finance, Data, and partner engineering teams, filling gaps in specs and prototyping to test ideas before you commit.
Take part in on-call, investigate and resolve production issues, contribute to postmortems, and improve alerting and runbooks.
Mentor early-career engineers, give thoughtful, constructive code reviews, and push for good engineering practices on the team.
Skills We’re Looking For
5+ years building and operating production software, with a passion for solving complex engineering problems
Strong experience designing and building backend services and APIs, with attention to correctness, reliability, and data integrity
Experience with distributed systems and event-driven architectures; exposure to streaming or messaging systems (e.g., Kafka) is a plus
Solid knowledge of relational databases and data modeling; experience with a cloud data warehouse such as Snowflake is a plus
Ability to independently lead the design of a feature or service to meet project requirements, and to spot and fix design flaws in existing systems
Hands-on experience with at least one major cloud provider (AWS preferred) and containerization (Docker, Kubernetes)
Familiarity with CI/CD, infrastructure as code (Terraform), and observability tools (Datadog, Grafana, or similar)
Experience with code reviews, testing, and troubleshooting, and with being on-call
Clear written and verbal communication, including writing design docs and working with cross-functional partners
Fluency with AI code assistants and coding agents for building features, fixing bugs, testing, and investigation, and with conversational AI (Claude, ChatGPT, internal chatbots) for researching, writing, and reviewing SDLC artifacts like TDDs, PRDs, postmortems, test plans, and proposals
Bonus Skills
Experience with billing, metering, or usage-based pricing systems (e.g., Metronome, Stripe)
Experience building telemetry or analytics pipelines (e.g., Snowplow, Iceberg)
Experience with notification or messaging platforms (email, in-app, webhooks)
Experience with data processing (ETL/ELT), dbt, or other modern data stack tools
Experience working on SaaS platforms at scale
#LI-IM1
#LI-HYBRID
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: Novi Sad, South Bačka, Serbia, EMEA
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
We’re looking for a Senior Software Engineer to join
Cloud Signals
, the team behind the systems that measure, bill, and talk to our customers across the dbt platform and, more and more, the combined Fivetran + dbt product.
Cloud Signals owns:
Billing and usage metering:
turning product activity into accurate, auditable usage and billing data, including the integration of Fivetran and dbt billing into one consolidated system.
Vortex, our telemetry and event pipeline:
high-volume event ingestion that feeds the warehouse, product analytics, and downstream systems.
The Notification System:
the shared service that sends transactional and product notifications (email, in-app, Slack) for teams across the platform.
Usage and admin reporting:
giving customers clear visibility into consumption as we move toward consumption-based pricing.
As a Senior engineer you’ll own major features and components of these systems from design to production. You’ll be a go-to technical voice on the team and help shape how we build.
Technologies You’ll Use
Python and TypeScript for backend services and APIs (Rust, Go, or Java experience also welcome)
Relational databases (PostgreSQL) and cloud data warehouses (Snowflake)
Event streaming and messaging systems (Kafka or similar)
AWS (plus exposure to GCP or Azure), Docker, and Kubernetes
Terraform for infrastructure as code
Datadog for observability, alerting, and on-call
Third-party billing and payment platforms, plus internal and public REST APIs
AI coding assistants and agents (e.g., Claude Code) as part of everyday development
What You’ll Do
Design, build, and run features across billing, usage metering, telemetry, and notifications, writing high-quality, well-tested code that holds up in production.
Own technical projects from start to finish: break down requirements, write design docs, estimate and plan the work, and see it through rollout.
Help deliver the Fivetran + dbt billing integration, with a focus on correct usage data, reliable pipelines, and smooth migrations.
Improve Vortex and the Notification System by onboarding new event types and use cases, making them more reliable, and lowering cost.
Work closely with Product, Finance, Data, and partner engineering teams, filling gaps in specs and prototyping to test ideas before you commit.
Take part in on-call, investigate and resolve production issues, contribute to postmortems, and improve alerting and runbooks.
Mentor early-career engineers, give thoughtful, constructive code reviews, and push for good engineering practices on the team.
Skills We’re Looking For
5+ years building and operating production software, with a passion for solving complex engineering problems
Strong experience designing and building backend services and APIs, with attention to correctness, reliability, and data integrity
Experience with distributed systems and event-driven architectures; exposure to streaming or messaging systems (e.g., Kafka) is a plus
Solid knowledge of relational databases and data modeling; experience with a cloud data warehouse such as Snowflake is a plus
Ability to independently lead the design of a feature or service to meet project requirements, and to spot and fix design flaws in existing systems
Hands-on experience with at least one major cloud provider (AWS preferred) and containerization (Docker, Kubernetes)
Familiarity with CI/CD, infrastructure as code (Terraform), and observability tools (Datadog, Grafana, or similar)
Experience with code reviews, testing, and troubleshooting, and with being on-call
Clear written and verbal communication, including writing design docs and working with cross-functional partners
Fluency with AI code assistants and coding agents for building features, fixing bugs, testing, and investigation, and with conversational AI (Claude, ChatGPT, internal chatbots) for researching, writing, and reviewing SDLC artifacts like TDDs, PRDs, postmortems, test plans, and proposals
Bonus Skills
Experience with billing, metering, or usage-based pricing systems (e.g., Metronome, Stripe)
Experience building telemetry or analytics pipelines (e.g., Snowplow, Iceberg)
Experience with notification or messaging platforms (email, in-app, webhooks)
Experience with data processing (ETL/ELT), dbt, or other modern data stack tools
Experience working on SaaS platforms at scale
#LI-IM1
#LI-HYBRID
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.
УдалённоRemote, New York, United States, AMER
leadNew York, New York, United States
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоNew York City Metropolitan Area; Manhattan, New York; New Jersey; Brooklyn, New York; Boston, Massachusetts; Connecticut; Pennsylvania; Trenton, New Jersey; Newark, New Jersey
УдалённоSan Francisco; New York City
УдалённоPennsylvania; Massachusetts; Maryland; Connecticut; New Jersey; Delaware; Rhode Island
УдалённоNew York, New York; Manhattan, New York; Brooklyn, New York; Trenton, New Jersey; Yonkers, New york; New York City Metropolitan Area; Newark, New Jersey
seniorChicago, IL or Remote
Chicago, IL or Remote
seniorDenmark - Remote
leadAmsterdam, Netherlands; Remote - Europe; Own employee hardware lifecycle processes, provisioning, replacement, reuse, return, disposal and employee resale, and provide demand forecasts and regional requirements (including Bill & Hold) to IT Supply Chain and Procurement; recommend routine purchases against agreed standards, approving only within a documented delegated spend limit
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