Location: Montpellier, France
Workplace: Hybrid
We’re a team of experts pushing the limits of what’s possible, united by our common goal to unlock true freedom through digital ownership, making technology accessible for all. We believe in a world where users, creators and enterprises manage their value with ownership and freedom. Our curiosity drives us to innovate, empowering individuals on a global scale. We believe change is constant and our team moves forward as one, with a culture of problem-solving where every employee is empowered and supported to challenge tradition and create solutions. Our mission is simple: to make self-custody accessible and give people the keys to their own financial futures. If you want to make a true impact, we want you to join us at Ledger.
At Ledger, we’re proud to be the global platform for digital assets and Web3, with over 20% of the world’s crypto assets secured through our Ledger devices. With our headquarters in Paris, and offices in Vierzon, Grenoble, Montpellier, London, Portland, Geneva, Zurich and Central Singapore, we have a team of around 600 professionals developing a variety of products and services to enable individuals and companies to securely buy, store, swap, grow and manage crypto assets – including the Ledger hardware wallets line with more than 7.5 millions units already sold in 200 countries.
The team
To sustain the company's growth, Ledger is looking for an Engineering Manager to lead the Cloud Wallet team. This team is responsible for the backend services that power blockchain account management, transaction processing, and on-chain data aggregation across all Ledger wallet surfaces, from Ledger Live to the Ledger Enterprise platform. We believe in the power of functional programming to build robust and scalable platforms. We take time to share, challenge, and grow together through bi-weekly knowledge-sharing sessions, meetups, conferences, and open source contributions.
What you’ll be doing
- Lead and grow your team. Own hiring, onboarding, performance management, and the professional development of your engineers. Run regular 1:1s, support career growth, and build a high-performing, engaged team.
- Drive technical delivery. Own the team's roadmap and PI planning commitments. Ensure on-time, high-quality delivery across the team's service portfolio and ongoing architectural initiatives while coordinating across dependencies with Coin Integration, Ledger Enterprise, Ledger Live, and Infrastructure teams.
- Maintain operational excellence. Own SLIs/SLOs for team services. Lead incident response posture and observability standards for production-critical systems.
- Architect for scale and reliability. Partner with tech leads and staff engineers to drive sound technical decisions on a polyglot stack (TypeScript, Scala) handling high throughput, multi-chain complexity, and strict reliability requirements. Review ADRs and ensure architectural coherence.
- Champion engineering practices. Drive strong standards on CI/CD, testing (including end-to-end on testnets), code review quality, technical debt management, and AI-assisted engineering workflows.
- Contribute to org-level initiatives. Participate in cross-BU architectural working groups, PI planning, and engineering efficiency programs.
You will collaborate cross-functionally with:
- The Blockchain platform team for data model alignment, indexing and event streaming
- The Coin Integration team for coin module ownership and new blockchain integrations
- The Ledger Enterprise team for enterprise wallet features and operational alignment
- The Ledger Live / Wallet XP teams as consumers of the team's backend APIs
- The Infrastructure and SRE teams for platform reliability and scalability
- The Product team for roadmap prioritization and customer-driven requirements
- The Security team for vulnerability analysis and compliance
What we’re looking for
- Proven experience (3+ years) managing backend engineering teams in a product-driven, distributed environment
- Strong technical background in backend systems. You can credibly challenge architectural decisions, review design documents, and unblock engineers on hard technical problems
- Experience operating services at scale and familiarity with high-availability architectures, event-driven systems, and observability tooling (RabbitMQ, PostgreSQL, Flink, NATS, Datadog or equivalent)
- Comfortable with polyglot stacks. The team works across TypeScript and Scala; you don't need to be an expert in both but need enough depth to lead effectively
- Track record of navigating complex multi-team dependencies and influencing across organizational boundaries without direct authority
- Excellent written and verbal communication skills in English
- Bonus points: exposure to blockchain or crypto infrastructure (account indexing, transaction lifecycle, UTXO vs account-based models), and a genuine interest in the Web3 space
Location: Worldwide
Workplace: hybrid
Watch Specialist
Reports to: Shop Manager
Job Description:
· Promotes a variety of watches and timepieces to guests.
· Provides advice to guests relating to the onboard watch product range.
· Meets and exceeds sales target objectives consistently through expert and proven consultative selling skills.
· Ensures that presentation of products is visually appealing and merchandised in a manner that maximizes sales.
· Informs guests of special offers, new products and promotions.
· Assist guests to find the goods and products they are looking for.
· Handles guests’ complaints and queries.
· Processes payments.
· Ensures items are correctly priced and keeps the shop layout attractive and tidy, in line with the direction of the Shop manager and Heinemann guidelines.
· Conduct cycle counts, SKU checks and inventory preparation.
· Monitors stock levels and properly replenishes in a timely manner.
· Be accountable for ensuring that there is an optimal supply of products and recommend additional inventory when necessary; especially of products that have been identified as “best sellers”.
· Assists with stock control and inventory management, including receiving and storing the delivery of large amounts of stock, with an emphasis on asset protection.
· Reports discrepancies and problems to the supervisor.
· Keeps the store tidy and clean, this includes hovering and mopping.
· Keeps up to date with special promotions and putting up displays.
· Maintains responsibility for the organization of the shop and storage areas, as it relates to shop cleanliness and organization.
· Prepares to multitask and take on additional duties as needed (including vessel safety duties).
Profile:
· Fluent in English, oral and written. Ability to speak multiple languages preferred, but not required.
· High School graduation certificate.
· At least 2 years’ experience in the Watch Specialist position in a fast pace retail environment.
· Previous shipboard retail experience highly preferred.
· Strong customer service, communication and negotiation skills.
· Knowledge of products and inventory techniques.
· Ability to stand for extended periods of time and move boxes weighing up to 50lbs.
Length of contract:
6 Months on/ 2 Months off
Location: Worldwide
Workplace: hybrid
Sales Associate
Reports to: Shop Manager
Job Description:
· Creates memorable moments for guests through delivering unrivalled service, demonstrating a high level of product knowledge to effectively promote and sell products.
· Works under the direction of the Shop Manager to ensure that presentation of products is visually appealing and merchandised in a manner that maximizes sales.
· Informs guests of special offers, new products and promotions.
· Assist guests to find the goods and products they are looking for.
· Handles guests’ complaints and queries.
· Processes payments.
· Ensures items are correctly priced and keeps the shop layout attractive and tidy, in line with the direction of the Shop manager and Heinemann guidelines.
· Conduct cycle counts, SKU checks and inventory preparation.
· Monitors stock levels and properly replenishes in a timely manner.
· Regularly checks that products are within their sell-by date and respects the FIFO products life-cycle (for perishable selling goods).
· Assists with stock control and inventory management, including stocking shelves with merchandise, receiving and storing the delivery of large amounts of stock, with an emphasis on asset protection.
· Reports discrepancies and problems to the supervisor.
· Keeps the store tidy and clean, this includes hovering and mopping.
· Keeps up to date with special promotions and putting up displays.
· Maintains responsibility for the organization of the shop and storage areas, as it relates to shop cleanliness and organization.
· Prepares to multitask and take on additional duties as needed (including vessel safety duties).
Profile:
· Fluent in English, oral and written. Ability to speak multiple languages preferred, but not required.
· High School graduation certificate.
· At least 2 years’ experience in a fast pace retail environment.
· Previous shipboard retail experience highly preferred.
· Strong customer service, communication and negotiation skills.
· Knowledge of products and inventory techniques.
· Ability to stand for extended periods of time and move boxes weighing up to 50lbs.
Length of Contract:
6 Months on / 2 Months off
Location: Worldwide
Workplace: hybrid
Shop Manager
Reports to : Shipboard Operations Manager
Job description:
· Leads, coaches, and mentors shop staff with the support of Shop Assistant Manager, while ensuring regular presence on the shop floor.
· Analyzes and understand sales figures, guest needs, identify shopping trends, and areas of deficiency in staff performance, product assortment, or other areas impacting sales and recommends execution of strategy for improvement to corporate office.
· Motivates and coaches shop staff to achieve or exceed sales targets, promotional targets, and high quality retailing standards.
· Ensures the shops are hitting sales targets and meeting performance expectations.
· Prepares promotional planner and event schedule to drive product sales and guest traffic, in partnership with corporate marketing team and Cruise Director to identify cross promotional opportunities and to promote scheduled shop promotions.
· Develops strong relationships with ship’s leadership team, other shipboard vendors and cruise partner staff to execute events and drive guest traffic to store.
· Provides guidance and coaching to shop staff about their performance, on a regular basis, including evaluating performance and taking disciplinary action in accordance with Heinemann standards by partnering closely with corporate HR.
· Trains shop staff on Heinemann’s standards, product knowledge, selling techniques, asset protection and guest service.
· Responsibility for oversight of the receiving process in compliance with Heinemann process, and managing inventory emphasis on asset protection, counts and stock control through the Assistant Manager
· and Inventory Specialist.
· Maintains inventory oversight, tracking of the inventory balances, and leading discrepancy investigation process.
· Maintains excellent visual merchandising standards with high-converting displays; optimize retail sales space for maximum revenue.
· Handles guests’ complaints and queries.
· Must be prepared to multitask and take on additional duties as needed (including vessel safety duties).
Profile:
· At least 2 years’ shipboard retail experience in the Shop Manager position, or 4 years’ experience as a shipboard Assistant Shop Manager, required.
· Excellent ability to identify guest needs and preferences, while possessing excellent customer service skills.
· Excellent ability to identify staff performance issues and decline in morale. Ability to coach and mentor staff.
· Ability to analyze sales figures and trends and recommend strategy based on analysis.
· Fluent in English, oral and written. Ability to speak multiple languages preferred, but not required.
· High School graduation certificate.
· Strong customer service, communication and negotiation skills.
· Knowledge of products
· Knowledge of inventory techniques.
· Ability to stand for extended periods of time and move boxes weighing up to 50lbs.
Length of contract:
4 Months on / 2 Months off
Location: USA - New York
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 and dbt are building the open data infrastructure that powers AI agents you can trust.
Fivetran is looking for a Staff R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh.
This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. At this level, you’re expected to be a trusted expert beyond your own team — defining technical direction that other teams build on, taking high-level direction and turning it into concrete plans with a high degree of independence, and using sound judgment to decide what deserves your attention. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range and ambiguity rather than staying in one lane.
Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that:
Builds Infrastructure Agents Can Trust
— join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start.
Embraces Open Standards
— help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute.
Scales Without Breaking
— work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled.
We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript.
This is a full-time hybrid position based out of our New York, NY office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes
What You’ll Do
Research emerging techniques in retrieval, reasoning, and agentic AI, and decide what’s actually worth pursuing for Fivetran AI’s roadmap — then convince others
Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features
Define technical direction that spans multiple teams within Fivetran AI, ensuring architecture decisions made in one area don’t create problems in another
Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI
Drive the AISQL capability forward: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse
Take ownership of production reliability across the platform: on-call rotation, incident response, and SRE work to keep the system trustworthy at scale
Set the bar for testing and QA practices, and do hands-on QA work yourself when it matters most
Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human
Take high-level direction from product and leadership and independently define and execute the concrete plan to get there
Mentor other engineers and raise the technical bar across the Fivetran AI team
Contribute to hiring by participating in and helping shape the interview process
Skills We’re Looking For
8+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work
Considered a trusted expert beyond your own team, able to exert influence and define technical direction across multiple teams
Comfortable reading AI/ML research and turning promising findings into working prototypes, then production systems
Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype
Track record of taking ambiguous, high-level direction and independently defining and executing the concrete work to deliver it
Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar)
Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand
Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements
Experience using coding agents or similar AI tooling to speed up day-to-day engineering work
Demonstrated ability to mentor other engineers and influence technical decisions beyond your immediate team
Thrives in a startup-like environment with shifting priorities and a high degree of ownership
Bonus Skills
Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks
Familiarity with semantic layers — dbt, LookML, Sigma, or similar
Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations
Background in site reliability engineering — monitoring, alerting, incident response
Experience in data processing (ETL, ELT) and/or building data connectors
Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker
Contributions to open source AI or data projects
#LI-HYBRID #LI-AM1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
New York Pay Range
$196,033
—
$245,041.50 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.
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 and dbt are building the open data infrastructure that powers AI agents you can trust.
Fivetran is looking for a Staff R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh.
This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. At this level, you’re expected to be a trusted expert beyond your own team — defining technical direction that other teams build on, taking high-level direction and turning it into concrete plans with a high degree of independence, and using sound judgment to decide what deserves your attention. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range and ambiguity rather than staying in one lane.
Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that:
Builds Infrastructure Agents Can Trust
— join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start.
Embraces Open Standards
— help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute.
Scales Without Breaking
— work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled.
We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript.
This is a full-time hybrid position based out of our Denver, CO office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes
What You’ll Do
Research emerging techniques in retrieval, reasoning, and agentic AI, and decide what’s actually worth pursuing for Fivetran AI’s roadmap — then convince others
Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features
Define technical direction that spans multiple teams within Fivetran AI, ensuring architecture decisions made in one area don’t create problems in another
Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI
Drive the AISQL capability forward: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse
Take ownership of production reliability across the platform: on-call rotation, incident response, and SRE work to keep the system trustworthy at scale
Set the bar for testing and QA practices, and do hands-on QA work yourself when it matters most
Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human
Take high-level direction from product and leadership and independently define and execute the concrete plan to get there
Mentor other engineers and raise the technical bar across the Fivetran AI team
Contribute to hiring by participating in and helping shape the interview process
Skills We’re Looking For
8+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work
Considered a trusted expert beyond your own team, able to exert influence and define technical direction across multiple teams
Comfortable reading AI/ML research and turning promising findings into working prototypes, then production systems
Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype
Track record of taking ambiguous, high-level direction and independently defining and executing the concrete work to deliver it
Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar)
Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand
Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements
Experience using coding agents or similar AI tooling to speed up day-to-day engineering work
Demonstrated ability to mentor other engineers and influence technical decisions beyond your immediate team
Thrives in a startup-like environment with shifting priorities and a high degree of ownership
Bonus Skills
Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks
Familiarity with semantic layers — dbt, LookML, Sigma, or similar
Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations
Background in site reliability engineering — monitoring, alerting, incident response
Experience in data processing (ETL, ELT) and/or building data connectors
Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker
Contributions to open source AI or data projects
#LI-HYBRID #LI-AM1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Denver Pay Range
$183,711
—
$229,638.75 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: USA - Austin (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.
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 and dbt are building the open data infrastructure that powers AI agents you can trust.
Fivetran is looking for a Staff R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh.
This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. At this level, you’re expected to be a trusted expert beyond your own team — defining technical direction that other teams build on, taking high-level direction and turning it into concrete plans with a high degree of independence, and using sound judgment to decide what deserves your attention. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range and ambiguity rather than staying in one lane.
Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that:
Builds Infrastructure Agents Can Trust
— join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start.
Embraces Open Standards
— help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute.
Scales Without Breaking
— work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled.
We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript.
This is a full-time hybrid position based out of our Austin, TX office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes
What You’ll Do
Research emerging techniques in retrieval, reasoning, and agentic AI, and decide what’s actually worth pursuing for Fivetran AI’s roadmap — then convince others
Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features
Define technical direction that spans multiple teams within Fivetran AI, ensuring architecture decisions made in one area don’t create problems in another
Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI
Drive the AISQL capability forward: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse
Take ownership of production reliability across the platform: on-call rotation, incident response, and SRE work to keep the system trustworthy at scale
Set the bar for testing and QA practices, and do hands-on QA work yourself when it matters most
Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human
Take high-level direction from product and leadership and independently define and execute the concrete plan to get there
Mentor other engineers and raise the technical bar across the Fivetran AI team
Contribute to hiring by participating in and helping shape the interview process
Skills We’re Looking For
8+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work
Considered a trusted expert beyond your own team, able to exert influence and define technical direction across multiple teams
Comfortable reading AI/ML research and turning promising findings into working prototypes, then production systems
Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype
Track record of taking ambiguous, high-level direction and independently defining and executing the concrete work to deliver it
Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar)
Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand
Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements
Experience using coding agents or similar AI tooling to speed up day-to-day engineering work
Demonstrated ability to mentor other engineers and influence technical decisions beyond your immediate team
Thrives in a startup-like environment with shifting priorities and a high degree of ownership
Bonus Skills
Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks
Familiarity with semantic layers — dbt, LookML, Sigma, or similar
Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations
Background in site reliability engineering — monitoring, alerting, incident response
Experience in data processing (ETL, ELT) and/or building data connectors
Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker
Contributions to open source AI or data projects
#LI-HYBRID #LI-AM1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Pay Range
$183,711
—
$229,638.75 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: Oakland, 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 and dbt are building the open data infrastructure that powers AI agents you can trust.
Fivetran is looking for a Staff R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh.
This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. At this level, you’re expected to be a trusted expert beyond your own team — defining technical direction that other teams build on, taking high-level direction and turning it into concrete plans with a high degree of independence, and using sound judgment to decide what deserves your attention. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range and ambiguity rather than staying in one lane.
Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that:
Builds Infrastructure Agents Can Trust
— join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start.
Embraces Open Standards
— help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute.
Scales Without Breaking
— work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled.
We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript.
This is a full-time hybrid position based out of our Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes
What You’ll Do
Research emerging techniques in retrieval, reasoning, and agentic AI, and decide what’s actually worth pursuing for Fivetran AI’s roadmap — then convince others
Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features
Define technical direction that spans multiple teams within Fivetran AI, ensuring architecture decisions made in one area don’t create problems in another
Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI
Drive the AISQL capability forward: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse
Take ownership of production reliability across the platform: on-call rotation, incident response, and SRE work to keep the system trustworthy at scale
Set the bar for testing and QA practices, and do hands-on QA work yourself when it matters most
Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human
Take high-level direction from product and leadership and independently define and execute the concrete plan to get there
Mentor other engineers and raise the technical bar across the Fivetran AI team
Contribute to hiring by participating in and helping shape the interview process
Skills We’re Looking For
8+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work
Considered a trusted expert beyond your own team, able to exert influence and define technical direction across multiple teams
Comfortable reading AI/ML research and turning promising findings into working prototypes, then production systems
Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype
Track record of taking ambiguous, high-level direction and independently defining and executing the concrete work to deliver it
Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar)
Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand
Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements
Experience using coding agents or similar AI tooling to speed up day-to-day engineering work
Demonstrated ability to mentor other engineers and influence technical decisions beyond your immediate team
Thrives in a startup-like environment with shifting priorities and a high degree of ownership
Bonus Skills
Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks
Familiarity with semantic layers — dbt, LookML, Sigma, or similar
Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations
Background in site reliability engineering — monitoring, alerting, incident response
Experience in data processing (ETL, ELT) and/or building data connectors
Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker
Contributions to open source AI or data projects
#LI-HYBRID #LI-AM1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$196,033
—
$245,041.50 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: Remote - US
Workplace: remote
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.
At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.
Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.
**Travel to Office expectations**
For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.
For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.
Position Summary
We are looking for a Senior Salesforce Architect, reporting to the Sr Manager- AI & Platform Architecture, to design, deliver, and continuously improve our Product-to-Cash landscape on Salesforce. This is a coaching and mentoring–focused role: you will guide engineers and solution designers, raise architectural standards, and bring deep hands-on expertise in Revenue Cloud Advanced (RCA), the billing system, and the broader quote-to-cash lifecycle.
Working in close partnership with other Architects, you will help solve complex business and technical challenges and ensure solutions are designed to best serve the evolving needs of the company. The ideal candidate pairs strong Salesforce architecture experience with an AI-first mindset, applying Agentforce and Claude-based solutions to solve problems, and the ability to identify and resolve process and technology gaps across the Product-to-Cash value chain, ensuring solutions align to their core business domains and to the enterprise taxonomy framework that underpins domain roadmaps and technology transformation.
Key Responsibilities
Serve as the architectural coach and mentor for engineers and solution designers across the Product-to-Cash domain, building team capability in Revenue Cloud Advanced and billing
Partner closely with the Principal Salesforce Architect to align on architectural direction, solve complex business and technical challenges together, and ensure solutions are designed to best serve the evolving needs of the company
Produce High-Level Designs (HLD), Low-Level Designs (LLD), and conceptual diagrams that clearly communicate architecture to technical and business audiences
Manage architecture and system roadmaps, ensuring alignment with platform standards and the long-term direction of the Product-to-Cash landscape
Define, maintain, and enforce platform standards across the Salesforce ecosystem
Build Proof of Concepts (POCs) to prove out the architecture and validate design decisions before delivery
Actively participate in requirement gathering, clarifying scope and resolving ambiguity early in the lifecycle
Work with the integration team to design and govern integrations, ensuring seamless communication and data flow across systems
Provide hands-on Revenue Cloud Advanced (RCA)/CPQ coaching, including configuration patterns, design trade-offs, and implementation best practices
Own the end-to-end architecture of the Product-to-Cash lifecycle: quoting, contracting, ordering, fulfilment, billing, invoicing, revenue, customer success, and customer support
Architect and govern the billing system and billing platform, ensuring accurate invoicing, billing schedules, payment handling, dunning, and revenue recognition flows
Identify and resolve process gaps and technology gaps across Product-to-Cash, defining remediation approaches and driving them to resolution
Apply an AI-first mindset to problem solving, leveraging Agentforce and Claude-based solutions where they add value
Work with the development team to hand over designs cleanly, ensuring they have the context and clarity needed to build
During project execution, work with SMEs and Product Owners to address any requirement gaps and shape the right solution
Extend and mature the Product-to-Cash solution as business needs evolve, ensuring the architecture scales with new products, pricing models, and billing scenarios
Translate business requirements into well-architected solutions that best leverage the Salesforce platform and Revenue Cloud
Apply architectural and engineering concepts to meet operational requirements such as scalability, maintainability, security, reliability, extensibility, availability, and manageability
Conduct research and develop Proof of Concepts on emerging Salesforce and billing capabilities, recommending solutions that are functionally robust and cost-effective
Promote the adoption of design patterns and standard processes for solution design and development
Partner with data and integration architects to ensure data integrity, security, compliance, and seamless data flow between billing, ERP, and other systems
Work closely with solution architects to ensure individual solutions align with the overall enterprise architecture
Contribute to a learning community within the enterprise architecture discipline, fostering continuous improvement
Required Experience & Skills
Bachelor's or master's degree in computer science, Information Technology, or a related field
10+ years of Salesforce experience across implementation, configuration, and solution design
3–5 years of Salesforce architecture experience (minimum required)
Deep, hands-on expertise in Revenue Cloud Advanced (RCA)/ CPQ, with the ability to coach and mentor others on the platform
Proven experience producing HLD, LLD, and conceptual diagrams, and managing architecture and system roadmaps
Proven experience architecting and delivering end-to-end Product-to-Cash solutions: quoting, contracting, ordering, fulfilment, billing, revenue, customer success, and customer support
Strong experience with billing systems and billing platforms, including invoicing, billing schedules, payments, dunning, and revenue recognition
Experience working with integration teams to design and govern cross-system integrations
Demonstrated ability to identify and resolve process gaps and technology gaps across the Product-to-Cash value chain
An AI-first mindset, with exposure to Agent force and Claude-based solutions for solving business and technical problems
Experience working with Salesforce Connected Apps (applications from the Salesforce AppExchange)
Proven experience designing and delivering complex B2B SaaS Salesforce solutions
Familiarity with managed packages such as Gong, DocuSign CLM, Kantata, Gainsight, Showpad, Qualtrics, or similar enterprise apps is a plus
Strong understanding of Salesforce architecture capabilities and ecosystem, including Sales Cloud, Service Cloud, and Revenue Cloud
Strong leadership, coaching, and interpersonal skills, with the ability to communicate complex technical concepts to non-technical stakeholders
Salesforce certifications such as Salesforce Certified Application Architect or Salesforce Certified System Architect preferred
Familiarity with enterprise architecture frameworks (TOGAF, C4, ArchiMate, etc.)
Strong analytical, problem-solving, and communication skills
Understanding of security architecture principles and practices
#LI-AJ1
#LI-Remote
PointClickCare Benefits & Perks:
Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!
It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.
When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com
PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.
At PointClickCare, base salary is one of the many components that make up our total rewards package. The US base salary range for this position is $157,600-$175,100 + bonus + benefits. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all US locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.
Location: Mississauga, Ontario
Workplace: remote
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.
At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.
Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.
**Travel to Office expectations**
For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.
For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.
Position Summary
We are looking for a Senior Salesforce Architect, reporting to the Sr Manager- AI & Platform Architecture, to design, deliver, and continuously improve our Product-to-Cash landscape on Salesforce. This is a coaching and mentoring–focused role: you will guide engineers and solution designers, raise architectural standards, and bring deep hands-on expertise in Revenue Cloud Advanced (RCA), the billing system, and the broader quote-to-cash lifecycle.
Working in close partnership with other Architects, you will help solve complex business and technical challenges and ensure solutions are designed to best serve the evolving needs of the company. The ideal candidate pairs strong Salesforce architecture experience with an AI-first mindset, applying Agentforce and Claude-based solutions to solve problems, and the ability to identify and resolve process and technology gaps across the Product-to-Cash value chain, ensuring solutions align to their core business domains and to the enterprise taxonomy framework that underpins domain roadmaps and technology transformation.
Key Responsibilities
Serve as the architectural coach and mentor for engineers and solution designers across the Product-to-Cash domain, building team capability in Revenue Cloud Advanced and billing
Partner closely with the Principal Salesforce Architect to align on architectural direction, solve complex business and technical challenges together, and ensure solutions are designed to best serve the evolving needs of the company
Produce High-Level Designs (HLD), Low-Level Designs (LLD), and conceptual diagrams that clearly communicate architecture to technical and business audiences
Manage architecture and system roadmaps, ensuring alignment with platform standards and the long-term direction of the Product-to-Cash landscape
Define, maintain, and enforce platform standards across the Salesforce ecosystem
Build Proof of Concepts (POCs) to prove out the architecture and validate design decisions before delivery
Actively participate in requirement gathering, clarifying scope and resolving ambiguity early in the lifecycle
Work with the integration team to design and govern integrations, ensuring seamless communication and data flow across systems
Provide hands-on Revenue Cloud Advanced (RCA)/CPQ coaching, including configuration patterns, design trade-offs, and implementation best practices
Own the end-to-end architecture of the Product-to-Cash lifecycle: quoting, contracting, ordering, fulfilment, billing, invoicing, revenue, customer success, and customer support
Architect and govern the billing system and billing platform, ensuring accurate invoicing, billing schedules, payment handling, dunning, and revenue recognition flows
Identify and resolve process gaps and technology gaps across Product-to-Cash, defining remediation approaches and driving them to resolution
Apply an AI-first mindset to problem solving, leveraging Agentforce and Claude-based solutions where they add value
Work with the development team to hand over designs cleanly, ensuring they have the context and clarity needed to build
During project execution, work with SMEs and Product Owners to address any requirement gaps and shape the right solution
Extend and mature the Product-to-Cash solution as business needs evolve, ensuring the architecture scales with new products, pricing models, and billing scenarios
Translate business requirements into well-architected solutions that best leverage the Salesforce platform and Revenue Cloud
Apply architectural and engineering concepts to meet operational requirements such as scalability, maintainability, security, reliability, extensibility, availability, and manageability
Conduct research and develop Proof of Concepts on emerging Salesforce and billing capabilities, recommending solutions that are functionally robust and cost-effective
Promote the adoption of design patterns and standard processes for solution design and development
Partner with data and integration architects to ensure data integrity, security, compliance, and seamless data flow between billing, ERP, and other systems
Work closely with solution architects to ensure individual solutions align with the overall enterprise architecture
Contribute to a learning community within the enterprise architecture discipline, fostering continuous improvement
Required Experience & Skills
Bachelor's or master's degree in computer science, Information Technology, or a related field
10+ years of Salesforce experience across implementation, configuration, and solution design
3–5 years of Salesforce architecture experience (minimum required)
Deep, hands-on expertise in Revenue Cloud Advanced (RCA)/ CPQ, with the ability to coach and mentor others on the platform
Proven experience producing HLD, LLD, and conceptual diagrams, and managing architecture and system roadmaps
Proven experience architecting and delivering end-to-end Product-to-Cash solutions: quoting, contracting, ordering, fulfilment, billing, revenue, customer success, and customer support
Strong experience with billing systems and billing platforms, including invoicing, billing schedules, payments, dunning, and revenue recognition
Experience working with integration teams to design and govern cross-system integrations
Demonstrated ability to identify and resolve process gaps and technology gaps across the Product-to-Cash value chain
An AI-first mindset, with exposure to Agent force and Claude-based solutions for solving business and technical problems
Experience working with Salesforce Connected Apps (applications from the Salesforce AppExchange)
Proven experience designing and delivering complex B2B SaaS Salesforce solutions
Familiarity with managed packages such as Gong, DocuSign CLM, Kantata, Gainsight, Showpad, Qualtrics, or similar enterprise apps is a plus
Strong understanding of Salesforce architecture capabilities and ecosystem, including Sales Cloud, Service Cloud, and Revenue Cloud
Strong leadership, coaching, and interpersonal skills, with the ability to communicate complex technical concepts to non-technical stakeholders
Salesforce certifications such as Salesforce Certified Application Architect or Salesforce Certified System Architect preferred
Familiarity with enterprise architecture frameworks (TOGAF, C4, ArchiMate, etc.)
Strong analytical, problem-solving, and communication skills
Understanding of security architecture principles and practices
#LI-AJ1
#LI-Remote
PointClickCare Benefits & Perks:
Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!
It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.
When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com
PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.
At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $125,500-$139,400 + bonus + benefits. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all CAD locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.
Location: Remote - London
MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data.
The European cloud landscape is undergoing a massive structural shift. Specialized GPU cloud providers, alternative infrastructure platforms, and sovereign cloud consortiums—collectively known as
NeoClouds
—are scaling exponentially to fuel the generational demand for enterprise AI/ML training and inference.
As an Account Executive for the NeoCloud market in Europe, you will own MinIO’s commercial footprint across this hyper-growth sector.
This role is open as a remote role in any Major European AI Hub for a qualified candidate.
You will be selling a revolutionary AI data infrastructure portfolio, headlined by:
MinIO AIStor:
Our exascale AI data store purpose-built for massive concurrency, sub-10ms latency, and high-throughput training pipelines.
MinIO MemKV:
Our purpose-built context memory store that eliminates the inference "recompute tax" by turning NVMe flash into a shared memory tier that GPU pods access at microsecond speeds over RDMA.
Why this role matters:
AI infrastructure cannot achieve true efficiency using legacy storage frameworks. By positioning MinIO at the foundation of European NeoClouds, you will directly enable cloud providers to maximize GPU utilization (95%+), collapse time-to-first-token latencies from seconds to milliseconds, and drastically lower operational costs for their enterprise tenants.
What You Will Do
Drive Revenue & Market Share:
Execute a strategic enterprise sales motion to identify, sign, and expand high-value commercial partnerships with European NeoClouds, specialized AI hosters, and sovereign cloud providers.
Value-Based Portfolio Positioning:
Lead complex technical and business conversations illustrating how MinIO products meet current and future requirements.
Full Sales Lifecycle Management:
Actively manage the end-to-end sales pipeline, from prospecting and initial technical qualification to executive alignment, pilot orchestration, pricing architecture, and contract closure.
Cross-Functional Alignment:
Collaborate closely with MinIO Solution Architects, Product Engineering, and corporate leadership to handle demanding infrastructure environments involving S3 over RDMA, PCIe Gen6, and NVIDIA reference architectures (e.g., Spectrum-X Ethernet, BlueField-4 STX).
Ecosystem Amplification:
Leverage alliances with key physical hardware and networking providers (e.g., NVIDIA, regional data center developers) to position MinIO as the foundational storage choice for modern AI deployment blueprints.
Your Skills and Experience
Proven Infrastructure Sales Record:
10+ years of quota-carrying enterprise software sales experience, with a documented history of successfully selling to cloud service providers (CSPs), telcos, managed services providers (MSPs), or high-performance computing (HPC) hubs.
Familiarity with NVIDIA ecosystem: AI Factory architecture and experience selling with NVIDIA field teams is a huge plus.
Deep AI/ML Infrastructure Literacy:
Fluency in the mechanics of modern AI infrastructure stacks. You can confidently discuss GPUs, Kubernetes operators, high-speed networking fabrics (RDMA/InfiniBand), KV Cache eviction challenges in LLMs, and modern data platforms like Apache Iceberg.
Strategic Deal Architect:
Proven ability to navigate complex, multi-layered corporate accounts, building deep trust with everyone from infrastructure engineers to executive decision-makers (CTOs, CEOs, Heads of AI Infrastructure).
European Landscape Expertise:
Strong understanding of regional dynamics within European tech markets (UK, DACH, France, Benelux, Nordics) and the data sovereignty requirements reshaping the continent's infrastructure policies.
Entrepreneurial Engine:
A proactive, self-motivated operator who thrives in high-velocity, high-innovation spaces and enjoys building a market segment from the ground up.
Equal Opportunity Policy (EEO)
MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
Location: Mississauga
Workplace: remote
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.
At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.
Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.
**Travel to Office expectations**
For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.
For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.
About the team:
This team provides solutions that streamline internal processes, improve implementations and deliver scalable, autonomous services across our employee facing corporate platforms. We work closely with senior leadership, solution architects, and product teams to bring LLM-driven agents and intelligent workflows into production across a dynamic healthcare SaaS environment.
Job Summary:
This role exists to bring AI-powered automation into real-world use across our corporate platform. This role exists to bring AI-powered automation into real-world use across our corporate platform. It focuses on building intelligent workflows with leading enterprise AI platforms (primarily Microsoft Azure, alongside model providers such as Anthropic Claude and OpenAI) to streamline operations and enhance delivery. The position connects IT and operations with AI innovation to deliver measurable impact in a rapidly evolving environment.
Key Responsibilities:
•Build and support AI agents and intelligent workflows using Microsoft Azure tools such as Azure OpenAI, AI Foundry, and Copilot Studio.
•Design and implement AI-powered orchestration and automation for use cases such as configuration streamlining, onboarding automation, and data migration.
•Collaborate with cross-functional teams (integration, implementation, product, support) to deliver high-quality, scalable AI-driven solutions.
•Develop APIs, scripts, and tools to connect LLM-based agents — using open integration standards such as the Model Context Protocol (MCP) — with existing enterprise systems.
•Support testing, evaluation, deployment, monitoring, and continuous improvement of AI workflows in production, including output-quality evaluation, guardrails, and responsible-AI safeguards.
•Stay current with the AI platform roadmaps of major providers (Microsoft, Anthropic, OpenAI, Google) and emerging industry trends.
•Contribute to the evolution of our internal AI delivery model and promote AI best practices across teams.
Your Key Strengths:
•Bachelor’s degree in computer science, Engineering, Information Systems, or equivalent practical experience.
•Experience building AI-powered workflows using Azure AI Foundry, Copilot Studio and/or Now Assist.
•3–5 years of experience in software or cloud engineering
•Exposure to AI agent orchestration or multi-agent systems
•Hands-on experience with Microsoft Azure services (Azure AI, Azure Functions, Logic Apps, Cognitive Services)
•Familiarity with retrieval-augmented generation (RAG) or vector database integration.
•Experience working with multiple LLMs (OpenAI GPT, Azure OpenAI, Gemini), prompt engineering, and AI-driven automation.
•Proficient in Python, C#, or JavaScript/Type Script
•3-5 years' experience working in SaaS or enterprise environments.
•Familiar with CI/CD pipelines, Git, and cloud deployment practices.
•Understanding of healthcare data formats (HL7, FHIR) is a strong plus.
•Strong problem-solving skills and eagerness to learn in a fast-moving environment.
Tech-D/P3
#LI-MG1
#LI-Remote
PointClickCare Benefits & Perks:
Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!
It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.
When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com
PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.
At PointClickCare, base salary is one of the many components that make up our total rewards package. The CA base salary range for this position is $115,000 - $130,000
Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all CA locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.
Location: Phoenix, Arizona
Workplace: hybrid
About the Opportunity:
IDT’s Retail division is looking for an energetic, hybrid Retail Account Manager (RAM). In this role, you won't just manage a route—you will be a growth partner for small businesses. You will drive revenue by selling our flagship National Retail Solutions (NRS) portfolio—including Point-of-Sale (POS) systems, credit card merchant services, and cash advances—while simultaneously managing and expanding our traditional telecom and financial services products (Boss Revolution) within your territory.
This role balances the thrill of direct, consultative sales with the stability of consistent account management.
In this role, you will:
Drive NRS Product Sales:
Prospect, pitch, and close sales for NRS Point-of-Sale (POS) devices, Merchant Services, and Cash Advances to new and existing retail accounts.
Manage an Assigned Route:
Develop and execute a weekly cycle to visit retail stores on a regular basis, ensuring high customer satisfaction and identifying upsell opportunities.
Open New Retail Doors:
Actively prospect and go door-to-door to expand IDT and NRS presence in your territory.
Onboard & Support Customers:
Drive the merchant application process, help store owners understand how to use our services effectively, and provide light troubleshooting/tech support on equipment.
Handle Operations & Inventory:
Manage sales, cash/payment collections, and telecom card inventory using IDT's accounting system.
What we are looking for:
Experience:
1–2 years of experience in retail sales, outside sales, or customer-facing roles. Prior exposure to Merchant Services, POS implementation, or route sales is a major plus.
Language:
Bilingual professionals with fluency in both
English and Spanish
are highly preferred to support our diverse customer base.
Mobility:
Must have a valid driver's license, a reliable car, and a willingness to travel door-to-door within your assigned territory daily.
Tech Savvy:
Comfortable using basic MS Office, CRM tools, tablets, and Bluetooth equipment.
Traits:
A resilient "people person" with sharp attention to detail, strong presentation skills, and the ability to multitask in a fast-paced entrepreneurial environment.
We offer you:
Competitive Base Salary + uncapped commission structure.
Comprehensive mileage and gas reimbursement program.
Paid on-the-job training on both NRS tech products and IDT telecom services.
Excellent benefits package (Medical, Dental, Vision, Life Insurance, 401k with employer match, and PTO).
At IDT, we understand the challenge of being apart from those who matter most. Communicating, transferring money, and mobile phone service must be safe, simple, and affordable. Our flagship brand, Boss Revolution, which includes our International Calling, Mobile Top Up, and Money Transfer services, as well as our Boss Revolution Mobile, net2phone, National Retail Solutions, IDT Express, and IDT Carrier Services divisions all, support IDT’s mission of enabling our customers to keep in touch and share resources with their friends and family around the world.
IDT is listed on the NYSE, employs over 1800 people across 20+ countries, and has revenues in excess of $1.5 billion. Since 1990, IDT Telecom has remained a pioneer in Prepaid VoIP and UCaaS telephony. Today, we are an industry leader in prepaid communication and payment services and are one of the world's largest international voice carriers.
Our National Retail Solutions brand provides a sales management system and POS equipment for small and medium-sized businesses. With the help of NRS, business owners can address a management problem: the product integrates advertising, data analysis, and payment processing.
Company: IDT Corporation / National Retail Solutions (NRS) Location: [Insert Territory/Location] Compensation: Competitive Base Salary + Commissions + Mileage/Gas Reimbursement & Full Benefits
Location: Brussels, Belgium
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As part of the Technology Distribution team of Tether Data, we are seeking an Engagement Manager to lead the implementation of AI-driven initiatives powered by QVAC, Tether’s SDK for local AI and delegated inference. The role focuses on orchestrating complex, multi-stakeholder deployments of decentralized AI solutions across enterprise, government, and institutional environments.
This position combines client engagement, technical coordination, and delivery oversight to ensure successful onboarding and execution of AI use cases, ranging from edge AI deployments to privacy-preserving inference systems. The Engagement Manager plays a central role in aligning client objectives with product capabilities, coordinating internal and external stakeholders, and driving implementations from initial scoping through production rollout.
Responsibilities
Client & Partner Engagement
Act as the primary point of contact for clients and partners during AI implementation initiatives, ensuring clear communication, expectation alignment, and structured execution.
Guide clients in translating business requirements into AI deployment strategies leveraging QVAC capabilities (local inference, delegated compute, privacy-preserving architectures).
Support Expansion team in shaping AI-related opportunities by providing input on feasibility, integration complexity, and delivery approach.
Identify opportunities to extend implementations across additional use cases, geographies, or Tether technologies.
Implementations Oversight
Lead end-to-end coordination of QVAC-based implementations from kickoff through production deployment.
Define implementation roadmaps, milestones, and dependencies across AI models, infrastructure, and integration layers.
Ensure alignment between client expectations and actual product capabilities, avoiding scope drift or mispositioning.
Track progress across multiple concurrent AI deployments, ensuring timely delivery and readiness for production environments.
Cross-functional Coordination
Coordinate closely with product, engineering, and research teams to align on QVAC capabilities, limitations, and roadmap evolution.
Facilitate integration between client systems and QVAC components, including model deployment pipelines, APIs, and compute environments.
Work with legal and compliance teams where required, particularly in sensitive AI deployments involving data locality or privacy constraints.
Maintain structured communication flows across all stakeholders involved in the implementation lifecycle.
Governance & Reporting
Establish and maintain governance frameworks including implementation plans, risk tracking, and decision logs.
Produce executive-level updates summarizing progress, risks, blockers, and next steps.
Ensure documentation of implementation architectures, deployment patterns, and key learnings for reuse across future projects.
Support escalation management and ensure timely resolution of technical or operational challenges.
Core Experience
5+ years of experience in program management, technical account management, or delivery roles within AI, data infrastructure, or complex technology environments.
Proven experience managing cross-functional implementations involving multiple stakeholders (internal teams, clients, external partners).
Strong ability to operate at the intersection of technical and business domains.
Technical Understanding
Familiarity with AI/ML deployment concepts, including model inference, edge/local AI, and distributed compute architectures.
Understanding of APIs, SDK integrations, and system architecture patterns.
Ability to engage in technical discussions with engineering teams while maintaining business-level clarity with clients.
Communication & Execution
Strong communication and stakeholder management skills, including experience working with enterprise or government entities.
Structured approach to project tracking, documentation, and governance.
Ability to manage ambiguity and operate in fast-evolving, early-stage environments.
Nice to Have
Experience with decentralized technologies, blockchain, or privacy-preserving systems.
Exposure to AI infrastructure tooling or MLOps workflows.
Experience in regulated industries or public sector projects.
Basic familiarity with programming or scripting environments (Python, APIs, CLI tools).
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: Paris, France
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As part of the Technology Distribution team of Tether Data, we are seeking an Engagement Manager to lead the implementation of AI-driven initiatives powered by QVAC, Tether’s SDK for local AI and delegated inference. The role focuses on orchestrating complex, multi-stakeholder deployments of decentralized AI solutions across enterprise, government, and institutional environments.
This position combines client engagement, technical coordination, and delivery oversight to ensure successful onboarding and execution of AI use cases, ranging from edge AI deployments to privacy-preserving inference systems. The Engagement Manager plays a central role in aligning client objectives with product capabilities, coordinating internal and external stakeholders, and driving implementations from initial scoping through production rollout.
Responsibilities
Client & Partner Engagement
Act as the primary point of contact for clients and partners during AI implementation initiatives, ensuring clear communication, expectation alignment, and structured execution.
Guide clients in translating business requirements into AI deployment strategies leveraging QVAC capabilities (local inference, delegated compute, privacy-preserving architectures).
Support Expansion team in shaping AI-related opportunities by providing input on feasibility, integration complexity, and delivery approach.
Identify opportunities to extend implementations across additional use cases, geographies, or Tether technologies.
Implementations Oversight
Lead end-to-end coordination of QVAC-based implementations from kickoff through production deployment.
Define implementation roadmaps, milestones, and dependencies across AI models, infrastructure, and integration layers.
Ensure alignment between client expectations and actual product capabilities, avoiding scope drift or mispositioning.
Track progress across multiple concurrent AI deployments, ensuring timely delivery and readiness for production environments.
Cross-functional Coordination
Coordinate closely with product, engineering, and research teams to align on QVAC capabilities, limitations, and roadmap evolution.
Facilitate integration between client systems and QVAC components, including model deployment pipelines, APIs, and compute environments.
Work with legal and compliance teams where required, particularly in sensitive AI deployments involving data locality or privacy constraints.
Maintain structured communication flows across all stakeholders involved in the implementation lifecycle.
Governance & Reporting
Establish and maintain governance frameworks including implementation plans, risk tracking, and decision logs.
Produce executive-level updates summarizing progress, risks, blockers, and next steps.
Ensure documentation of implementation architectures, deployment patterns, and key learnings for reuse across future projects.
Support escalation management and ensure timely resolution of technical or operational challenges.
Core Experience
5+ years of experience in program management, technical account management, or delivery roles within AI, data infrastructure, or complex technology environments.
Proven experience managing cross-functional implementations involving multiple stakeholders (internal teams, clients, external partners).
Strong ability to operate at the intersection of technical and business domains.
Technical Understanding
Familiarity with AI/ML deployment concepts, including model inference, edge/local AI, and distributed compute architectures.
Understanding of APIs, SDK integrations, and system architecture patterns.
Ability to engage in technical discussions with engineering teams while maintaining business-level clarity with clients.
Communication & Execution
Strong communication and stakeholder management skills, including experience working with enterprise or government entities.
Structured approach to project tracking, documentation, and governance.
Ability to manage ambiguity and operate in fast-evolving, early-stage environments.
Nice to Have
Experience with decentralized technologies, blockchain, or privacy-preserving systems.
Exposure to AI infrastructure tooling or MLOps workflows.
Experience in regulated industries or public sector projects.
Basic familiarity with programming or scripting environments (Python, APIs, CLI tools).
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: Bucharest, Romania
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As part of the Technology Distribution team of Tether Data, we are seeking an Engagement Manager to lead the implementation of AI-driven initiatives powered by QVAC, Tether’s SDK for local AI and delegated inference. The role focuses on orchestrating complex, multi-stakeholder deployments of decentralized AI solutions across enterprise, government, and institutional environments.
This position combines client engagement, technical coordination, and delivery oversight to ensure successful onboarding and execution of AI use cases, ranging from edge AI deployments to privacy-preserving inference systems. The Engagement Manager plays a central role in aligning client objectives with product capabilities, coordinating internal and external stakeholders, and driving implementations from initial scoping through production rollout.
Responsibilities
Client & Partner Engagement
Act as the primary point of contact for clients and partners during AI implementation initiatives, ensuring clear communication, expectation alignment, and structured execution.
Guide clients in translating business requirements into AI deployment strategies leveraging QVAC capabilities (local inference, delegated compute, privacy-preserving architectures).
Support Expansion team in shaping AI-related opportunities by providing input on feasibility, integration complexity, and delivery approach.
Identify opportunities to extend implementations across additional use cases, geographies, or Tether technologies.
Implementations Oversight
Lead end-to-end coordination of QVAC-based implementations from kickoff through production deployment.
Define implementation roadmaps, milestones, and dependencies across AI models, infrastructure, and integration layers.
Ensure alignment between client expectations and actual product capabilities, avoiding scope drift or mispositioning.
Track progress across multiple concurrent AI deployments, ensuring timely delivery and readiness for production environments.
Cross-functional Coordination
Coordinate closely with product, engineering, and research teams to align on QVAC capabilities, limitations, and roadmap evolution.
Facilitate integration between client systems and QVAC components, including model deployment pipelines, APIs, and compute environments.
Work with legal and compliance teams where required, particularly in sensitive AI deployments involving data locality or privacy constraints.
Maintain structured communication flows across all stakeholders involved in the implementation lifecycle.
Governance & Reporting
Establish and maintain governance frameworks including implementation plans, risk tracking, and decision logs.
Produce executive-level updates summarizing progress, risks, blockers, and next steps.
Ensure documentation of implementation architectures, deployment patterns, and key learnings for reuse across future projects.
Support escalation management and ensure timely resolution of technical or operational challenges.
Core Experience
5+ years of experience in program management, technical account management, or delivery roles within AI, data infrastructure, or complex technology environments.
Proven experience managing cross-functional implementations involving multiple stakeholders (internal teams, clients, external partners).
Strong ability to operate at the intersection of technical and business domains.
Technical Understanding
Familiarity with AI/ML deployment concepts, including model inference, edge/local AI, and distributed compute architectures.
Understanding of APIs, SDK integrations, and system architecture patterns.
Ability to engage in technical discussions with engineering teams while maintaining business-level clarity with clients.
Communication & Execution
Strong communication and stakeholder management skills, including experience working with enterprise or government entities.
Structured approach to project tracking, documentation, and governance.
Ability to manage ambiguity and operate in fast-evolving, early-stage environments.
Nice to Have
Experience with decentralized technologies, blockchain, or privacy-preserving systems.
Exposure to AI infrastructure tooling or MLOps workflows.
Experience in regulated industries or public sector projects.
Basic familiarity with programming or scripting environments (Python, APIs, CLI tools).
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: Amsterdam, Netherlands
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As part of the Technology Distribution team of Tether Data, we are seeking an Engagement Manager to lead the implementation of AI-driven initiatives powered by QVAC, Tether’s SDK for local AI and delegated inference. The role focuses on orchestrating complex, multi-stakeholder deployments of decentralized AI solutions across enterprise, government, and institutional environments.
This position combines client engagement, technical coordination, and delivery oversight to ensure successful onboarding and execution of AI use cases, ranging from edge AI deployments to privacy-preserving inference systems. The Engagement Manager plays a central role in aligning client objectives with product capabilities, coordinating internal and external stakeholders, and driving implementations from initial scoping through production rollout.
Responsibilities
Client & Partner Engagement
Act as the primary point of contact for clients and partners during AI implementation initiatives, ensuring clear communication, expectation alignment, and structured execution.
Guide clients in translating business requirements into AI deployment strategies leveraging QVAC capabilities (local inference, delegated compute, privacy-preserving architectures).
Support Expansion team in shaping AI-related opportunities by providing input on feasibility, integration complexity, and delivery approach.
Identify opportunities to extend implementations across additional use cases, geographies, or Tether technologies.
Implementations Oversight
Lead end-to-end coordination of QVAC-based implementations from kickoff through production deployment.
Define implementation roadmaps, milestones, and dependencies across AI models, infrastructure, and integration layers.
Ensure alignment between client expectations and actual product capabilities, avoiding scope drift or mispositioning.
Track progress across multiple concurrent AI deployments, ensuring timely delivery and readiness for production environments.
Cross-functional Coordination
Coordinate closely with product, engineering, and research teams to align on QVAC capabilities, limitations, and roadmap evolution.
Facilitate integration between client systems and QVAC components, including model deployment pipelines, APIs, and compute environments.
Work with legal and compliance teams where required, particularly in sensitive AI deployments involving data locality or privacy constraints.
Maintain structured communication flows across all stakeholders involved in the implementation lifecycle.
Governance & Reporting
Establish and maintain governance frameworks including implementation plans, risk tracking, and decision logs.
Produce executive-level updates summarizing progress, risks, blockers, and next steps.
Ensure documentation of implementation architectures, deployment patterns, and key learnings for reuse across future projects.
Support escalation management and ensure timely resolution of technical or operational challenges.
Core Experience
5+ years of experience in program management, technical account management, or delivery roles within AI, data infrastructure, or complex technology environments.
Proven experience managing cross-functional implementations involving multiple stakeholders (internal teams, clients, external partners).
Strong ability to operate at the intersection of technical and business domains.
Technical Understanding
Familiarity with AI/ML deployment concepts, including model inference, edge/local AI, and distributed compute architectures.
Understanding of APIs, SDK integrations, and system architecture patterns.
Ability to engage in technical discussions with engineering teams while maintaining business-level clarity with clients.
Communication & Execution
Strong communication and stakeholder management skills, including experience working with enterprise or government entities.
Structured approach to project tracking, documentation, and governance.
Ability to manage ambiguity and operate in fast-evolving, early-stage environments.
Nice to Have
Experience with decentralized technologies, blockchain, or privacy-preserving systems.
Exposure to AI infrastructure tooling or MLOps workflows.
Experience in regulated industries or public sector projects.
Basic familiarity with programming or scripting environments (Python, APIs, CLI tools).
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: Lisbon, Portugal
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As part of the Technology Distribution team of Tether Data, we are seeking an Engagement Manager to lead the implementation of AI-driven initiatives powered by QVAC, Tether’s SDK for local AI and delegated inference. The role focuses on orchestrating complex, multi-stakeholder deployments of decentralized AI solutions across enterprise, government, and institutional environments.
This position combines client engagement, technical coordination, and delivery oversight to ensure successful onboarding and execution of AI use cases, ranging from edge AI deployments to privacy-preserving inference systems. The Engagement Manager plays a central role in aligning client objectives with product capabilities, coordinating internal and external stakeholders, and driving implementations from initial scoping through production rollout.
Responsibilities
Client & Partner Engagement
Act as the primary point of contact for clients and partners during AI implementation initiatives, ensuring clear communication, expectation alignment, and structured execution.
Guide clients in translating business requirements into AI deployment strategies leveraging QVAC capabilities (local inference, delegated compute, privacy-preserving architectures).
Support Expansion team in shaping AI-related opportunities by providing input on feasibility, integration complexity, and delivery approach.
Identify opportunities to extend implementations across additional use cases, geographies, or Tether technologies.
Implementations Oversight
Lead end-to-end coordination of QVAC-based implementations from kickoff through production deployment.
Define implementation roadmaps, milestones, and dependencies across AI models, infrastructure, and integration layers.
Ensure alignment between client expectations and actual product capabilities, avoiding scope drift or mispositioning.
Track progress across multiple concurrent AI deployments, ensuring timely delivery and readiness for production environments.
Cross-functional Coordination
Coordinate closely with product, engineering, and research teams to align on QVAC capabilities, limitations, and roadmap evolution.
Facilitate integration between client systems and QVAC components, including model deployment pipelines, APIs, and compute environments.
Work with legal and compliance teams where required, particularly in sensitive AI deployments involving data locality or privacy constraints.
Maintain structured communication flows across all stakeholders involved in the implementation lifecycle.
Governance & Reporting
Establish and maintain governance frameworks including implementation plans, risk tracking, and decision logs.
Produce executive-level updates summarizing progress, risks, blockers, and next steps.
Ensure documentation of implementation architectures, deployment patterns, and key learnings for reuse across future projects.
Support escalation management and ensure timely resolution of technical or operational challenges.
Core Experience
5+ years of experience in program management, technical account management, or delivery roles within AI, data infrastructure, or complex technology environments.
Proven experience managing cross-functional implementations involving multiple stakeholders (internal teams, clients, external partners).
Strong ability to operate at the intersection of technical and business domains.
Technical Understanding
Familiarity with AI/ML deployment concepts, including model inference, edge/local AI, and distributed compute architectures.
Understanding of APIs, SDK integrations, and system architecture patterns.
Ability to engage in technical discussions with engineering teams while maintaining business-level clarity with clients.
Communication & Execution
Strong communication and stakeholder management skills, including experience working with enterprise or government entities.
Structured approach to project tracking, documentation, and governance.
Ability to manage ambiguity and operate in fast-evolving, early-stage environments.
Nice to Have
Experience with decentralized technologies, blockchain, or privacy-preserving systems.
Exposure to AI infrastructure tooling or MLOps workflows.
Experience in regulated industries or public sector projects.
Basic familiarity with programming or scripting environments (Python, APIs, CLI tools).
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
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.
