Datafold is the data engineering automation platform. A major part of our business is delivering large-scale data engineering projects such as data platform migrations with AI, at fixed price and guaranteed timeline. We are not a typical services provider or SI – we are a venture-backed software company that reimagined automation from the ground up and has been delivering projects up to 6x faster than alternatives.
We partner heavily with leading data platforms, including Databricks and Snowflake, to deliver large-scale complex migrations.
Datafold is hiring a Forward Deployed Data Engineer to own the delivery of our AI-automated data platform migration projects. This is a high-ownership, customer-facing role at the intersection of data engineering, AI, and project leadership.
As a Forward Deployed Data Engineer leveraging Datafold's AI technology, you will own migration projects end-to-end, gain deep understanding of the customer's data platform, manage execution of the project, and remove any blockers on the way for a timely migration delivery.
Using our proprietary AI tooling to plan and deliver the migration projects, you will be doing the work equivalent to a full team of consultants.
Own 1–4 concurrent migration projects end-to-end: scoping, planning, execution, and customer handoff
Be the primary customer contact: run weekly check-ins, manage stakeholder expectations, and escalate risks early before they compound
Configure Datafold's Migration Agent and oversee the migration execution
Partner with Datafold's engineering team to execute migrations
Help refine and scale our product and delivery playbook as the team grows
3–6 years in data consulting, professional services, or a customer-facing data engineering role
Excellent communication skills — equally comfortable in an exec check-in and a technical design session
Strong grasp of the modern data stack: dbt, Snowflake, Databricks, orchestration tools, and major patterns (stored procedures, streaming, incremental processing)
Extreme ownership mentality — you identify, surface, and fix problems and rally the team to help without being told
AI power user — using AI every day and always learning and improving on how to use it more effectively
Exposure to legacy data stack and patterns (ETL, stored procedures, etc.) and data platform migration projects is a strong plus
Datafold is an equal opportunity employer and does not discriminate against any employee or applicant for employment based on race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, marital status, military status, or any other protected characteristic. We are committed to providing equal employment opportunities to all individuals. We strive to create an inclusive and diverse work environment where all employees are valued and unique perspectives are respected and celebrated.
","descriptionPlain":"ABOUT DATAFOLD\n\nDatafold is the data engineering automation platform. A major part of our business is delivering large-scale data engineering projects such as data platform migrations with AI, at fixed price and guaranteed timeline. We are not a typical services provider or SI – we are a venture-backed software company that reimagined automation from the ground up and has been delivering projects up to 6x faster than alternatives.\n\nWe partner heavily with leading data platforms, including Databricks and Snowflake, to deliver large-scale complex migrations.\n\n\nABOUT THE ROLE\n\nDatafold is hiring a Forward Deployed Data Engineer to own the delivery of our AI-automated data platform migration projects. This is a high-ownership, customer-facing role at the intersection of data engineering, AI, and project leadership.\n\nAs a Forward Deployed Data Engineer leveraging Datafold's AI technology, you will own migration projects end-to-end, gain deep understanding of the customer's data platform, manage execution of the project, and remove any blockers on the way for a timely migration delivery.\n\nUsing our proprietary AI tooling to plan and deliver the migration projects, you will be doing the work equivalent to a full team of consultants.\n\n\nWHAT YOU'LL DO\n\n - Own 1–4 concurrent migration projects end-to-end: scoping, planning, execution, and customer handoff\n\n - Be the primary customer contact: run weekly check-ins, manage stakeholder expectations, and escalate risks early before they compound\n\n - Configure Datafold's Migration Agent and oversee the migration execution\n\n - Partner with Datafold's engineering team to execute migrations\n\n - Help refine and scale our product and delivery playbook as the team grows\n\n\nWHAT WE'RE LOOKING FOR\n\n - 3–6 years in data consulting, professional services, or a customer-facing data engineering role\n\n - Excellent communication skills — equally comfortable in an exec check-in and a technical design session\n\n - Strong grasp of the modern data stack: dbt, Snowflake, Databricks, orchestration tools, and major patterns (stored procedures, streaming, incremental processing)\n\n - Extreme ownership mentality — you identify, surface, and fix problems and rally the team to help without being told\n\n - AI power user — using AI every day and always learning and improving on how to use it more effectively\n\n - Exposure to legacy data stack and patterns (ETL, stored procedures, etc.) and data platform migration projects is a strong plus\n\n\n\nDatafold is an equal opportunity employer and does not discriminate against any employee or applicant for employment based on race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, marital status, military status, or any other protected characteristic. We are committed to providing equal employment opportunities to all individuals. We strive to create an inclusive and diverse work environment where all employees are valued and unique perspectives are respected and celebrated."},{"id":"5b68673e-e56b-429e-918c-4fa652f668ca","title":"Forward Deployed Data Engineer - EU","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Europe","secondaryLocations":[],"publishedAt":"2026-06-19T11:03:40.090+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"European Union","addressLocality":"Europe"}},"jobUrl":"https://jobs.ashbyhq.com/datafold/5b68673e-e56b-429e-918c-4fa652f668ca","applyUrl":"https://jobs.ashbyhq.com/datafold/5b68673e-e56b-429e-918c-4fa652f668ca/application","descriptionHtml":"Datafold is the data engineering automation platform. A major part of our business is delivering large-scale data engineering projects such as data platform migrations with AI, at fixed price and guaranteed timeline. We are not a typical services provider or SI – we are a venture-backed software company that reimagined automation from the ground up and has been delivering projects up to 6x faster than alternatives.
We partner heavily with leading data platforms, including Databricks and Snowflake, to deliver large-scale complex migrations.
Datafold is hiring a Forward Deployed Data Engineer to own the delivery of our AI-automated data platform migration projects. This is a high-ownership, customer-facing role at the intersection of data engineering, AI, and project leadership.
As a Forward Deployed Data Engineer leveraging Datafold's AI technology, you will own migration projects end-to-end, gain deep understanding of the customer's data platform, manage execution of the project, and remove any blockers on the way for a timely migration delivery.
Using our proprietary AI tooling to plan and deliver the migration projects, you will be doing the work equivalent to a full team of consultants.
Own 1–4 concurrent migration projects end-to-end: scoping, planning, execution, and customer handoff
Be the primary customer contact: run weekly check-ins, manage stakeholder expectations, and escalate risks early before they compound
Configure Datafold's Migration Agent and oversee the migration execution
Partner with Datafold's engineering team to execute migrations
Help refine and scale our product and delivery playbook as the team grows
3–6 years in data consulting, professional services, or a customer-facing data engineering role
Excellent communication skills — equally comfortable in an exec check-in and a technical design session
Strong grasp of the modern data stack: dbt, Snowflake, Databricks, orchestration tools, and major patterns (stored procedures, streaming, incremental processing)
Extreme ownership mentality — you identify, surface, and fix problems and rally the team to help without being told
AI power user — using AI every day and always learning and improving on how to use it more effectively
Exposure to legacy data stack and patterns (ETL, stored procedures, etc.) and data platform migration projects is a strong plus
Competitive salary + equity
Datafold is an equal opportunity employer and does not discriminate against any employee or applicant for employment based on race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, marital status, military status, or any other protected characteristic. We are committed to providing equal employment opportunities to all individuals. We strive to create an inclusive and diverse work environment where all employees are valued and unique perspectives are respected and celebrated.
","descriptionPlain":"ABOUT DATAFOLD\n\nDatafold is the data engineering automation platform. A major part of our business is delivering large-scale data engineering projects such as data platform migrations with AI, at fixed price and guaranteed timeline. We are not a typical services provider or SI – we are a venture-backed software company that reimagined automation from the ground up and has been delivering projects up to 6x faster than alternatives.\n\nWe partner heavily with leading data platforms, including Databricks and Snowflake, to deliver large-scale complex migrations.\n\n\nABOUT THE ROLE\n\nDatafold is hiring a Forward Deployed Data Engineer to own the delivery of our AI-automated data platform migration projects. This is a high-ownership, customer-facing role at the intersection of data engineering, AI, and project leadership.\n\nAs a Forward Deployed Data Engineer leveraging Datafold's AI technology, you will own migration projects end-to-end, gain deep understanding of the customer's data platform, manage execution of the project, and remove any blockers on the way for a timely migration delivery.\n\nUsing our proprietary AI tooling to plan and deliver the migration projects, you will be doing the work equivalent to a full team of consultants.\n\n\nWHAT YOU'LL DO\n\n - Own 1–4 concurrent migration projects end-to-end: scoping, planning, execution, and customer handoff\n\n - Be the primary customer contact: run weekly check-ins, manage stakeholder expectations, and escalate risks early before they compound\n\n - Configure Datafold's Migration Agent and oversee the migration execution\n\n - Partner with Datafold's engineering team to execute migrations\n\n - Help refine and scale our product and delivery playbook as the team grows\n\n\nWHAT WE'RE LOOKING FOR\n\n - 3–6 years in data consulting, professional services, or a customer-facing data engineering role\n\n - Excellent communication skills — equally comfortable in an exec check-in and a technical design session\n\n - Strong grasp of the modern data stack: dbt, Snowflake, Databricks, orchestration tools, and major patterns (stored procedures, streaming, incremental processing)\n\n - Extreme ownership mentality — you identify, surface, and fix problems and rally the team to help without being told\n\n - AI power user — using AI every day and always learning and improving on how to use it more effectively\n\n - Exposure to legacy data stack and patterns (ETL, stored procedures, etc.) and data platform migration projects is a strong plus\n\n\nCOMPENSATION\n\n - Competitive salary + equity\n\n\n\nDatafold is an equal opportunity employer and does not discriminate against any employee or applicant for employment based on race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, marital status, military status, or any other protected characteristic. We are committed to providing equal employment opportunities to all individuals. We strive to create an inclusive and diverse work environment where all employees are valued and unique perspectives are respected and celebrated."},{"id":"efd1fb41-9c95-475a-94a2-313a196ebaa4","title":"Forward Deployed Data Engineer - Latin America","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"South America","secondaryLocations":[],"publishedAt":"2026-09-10T04:22:10.901+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"South America"}},"jobUrl":"https://jobs.ashbyhq.com/datafold/efd1fb41-9c95-475a-94a2-313a196ebaa4","applyUrl":"https://jobs.ashbyhq.com/datafold/efd1fb41-9c95-475a-94a2-313a196ebaa4/application","descriptionHtml":"Datafold is the data engineering automation platform. A major part of our business is delivering large-scale data engineering projects such as data platform migrations with AI, at fixed price and guaranteed timeline. We are not a typical services provider or SI – we are a venture-backed software company that reimagined automation from the ground up and has been delivering projects up to 6x faster than alternatives.
We partner heavily with leading data platforms, including Databricks and Snowflake, to deliver large-scale complex migrations.
Datafold is hiring a Forward Deployed Data Engineer to own the delivery of our AI-automated data platform migration projects. This is a high-ownership, customer-facing role at the intersection of data engineering, AI, and project leadership.
As a Forward Deployed Data Engineer leveraging Datafold's AI technology, you will own migration projects end-to-end, gain deep understanding of the customer's data platform, manage execution of the project, and remove any blockers on the way for a timely migration delivery.
Using our proprietary AI tooling to plan and deliver the migration projects, you will be doing the work equivalent to a full team of consultants.
Own 1–4 concurrent migration projects end-to-end: scoping, planning, execution, and customer handoff
Be the primary customer contact: run weekly check-ins, manage stakeholder expectations, and escalate risks early before they compound
Configure Datafold's Migration Agent and oversee the migration execution
Partner with Datafold's engineering team to execute migrations
Help refine and scale our product and delivery playbook as the team grows
3–6 years in data consulting, professional services, or a customer-facing data engineering role
Excellent communication skills — equally comfortable in an exec check-in and a technical design session
Strong grasp of the modern data stack: dbt, Snowflake, Databricks, orchestration tools, and major patterns (stored procedures, streaming, incremental processing)
Extreme ownership mentality — you identify, surface, and fix problems and rally the team to help without being told
AI power user — using AI every day and always learning and improving on how to use it more effectively
Exposure to legacy data stack and patterns (ETL, stored procedures, etc.) and data platform migration projects is a strong plus
Datafold is an equal opportunity employer and does not discriminate against any employee or applicant for employment based on race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, marital status, military status, or any other protected characteristic. We are committed to providing equal employment opportunities to all individuals. We strive to create an inclusive and diverse work environment where all employees are valued and unique perspectives are respected and celebrated.
","descriptionPlain":"ABOUT DATAFOLD\n\nDatafold is the data engineering automation platform. A major part of our business is delivering large-scale data engineering projects such as data platform migrations with AI, at fixed price and guaranteed timeline. We are not a typical services provider or SI – we are a venture-backed software company that reimagined automation from the ground up and has been delivering projects up to 6x faster than alternatives.\n\nWe partner heavily with leading data platforms, including Databricks and Snowflake, to deliver large-scale complex migrations.\n\n\nABOUT THE ROLE\n\nDatafold is hiring a Forward Deployed Data Engineer to own the delivery of our AI-automated data platform migration projects. This is a high-ownership, customer-facing role at the intersection of data engineering, AI, and project leadership.\n\nAs a Forward Deployed Data Engineer leveraging Datafold's AI technology, you will own migration projects end-to-end, gain deep understanding of the customer's data platform, manage execution of the project, and remove any blockers on the way for a timely migration delivery.\n\nUsing our proprietary AI tooling to plan and deliver the migration projects, you will be doing the work equivalent to a full team of consultants.\n\n\nWHAT YOU'LL DO\n\n - Own 1–4 concurrent migration projects end-to-end: scoping, planning, execution, and customer handoff\n\n - Be the primary customer contact: run weekly check-ins, manage stakeholder expectations, and escalate risks early before they compound\n\n - Configure Datafold's Migration Agent and oversee the migration execution\n\n - Partner with Datafold's engineering team to execute migrations\n\n - Help refine and scale our product and delivery playbook as the team grows\n\n\nWHAT WE'RE LOOKING FOR\n\n - 3–6 years in data consulting, professional services, or a customer-facing data engineering role\n\n - Excellent communication skills — equally comfortable in an exec check-in and a technical design session\n\n - Strong grasp of the modern data stack: dbt, Snowflake, Databricks, orchestration tools, and major patterns (stored procedures, streaming, incremental processing)\n\n - Extreme ownership mentality — you identify, surface, and fix problems and rally the team to help without being told\n\n - AI power user — using AI every day and always learning and improving on how to use it more effectively\n\n - Exposure to legacy data stack and patterns (ETL, stored procedures, etc.) and data platform migration projects is a strong plus\n\n\n\nDatafold is an equal opportunity employer and does not discriminate against any employee or applicant for employment based on race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, marital status, military status, or any other protected characteristic. We are committed to providing equal employment opportunities to all individuals. We strive to create an inclusive and diverse work environment where all employees are valued and unique perspectives are respected and celebrated."},{"id":"5d341aa7-6bc2-4ba2-99d0-10eac34f0335","title":"Data Scientist - Migration Intelligence ","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"USA","secondaryLocations":[],"publishedAt":"2026-10-02T19:44:13.100+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":" ","addressCountry":"USA","addressLocality":" "}},"jobUrl":"https://jobs.ashbyhq.com/datafold/5d341aa7-6bc2-4ba2-99d0-10eac34f0335","applyUrl":"https://jobs.ashbyhq.com/datafold/5d341aa7-6bc2-4ba2-99d0-10eac34f0335/application","descriptionHtml":"Data Scientist - Migration Intelligence
Datafold, Inc. - Brooklyn, NY
May telecommute from the continental U.S.
Evaluate third-party tools, platforms, and emerging technologies relevant to data migration, data infrastructure, and AI-assisted workflows, including technical benchmarking and integration feasibility analysis, and build-versus-buy assessment.
Develop and apply quantitative models and analytical frameworks to assess migration risk, predict data quality issues, and validate data consistency across source and target database environments throughout migration project delivery.
Coordinate end-to-end delivery of customer data migration projects, including scoping, sequencing, milestone planning, risk identification, dependency management, and cross-functional execution across internal teams, customers, and external partners.
Design, build, and maintain internal data pipelines and supporting infrastructure that integrate diverse structured and unstructured data sources for analytics and reporting and operational use cases.
Develop repeatable analytical playbooks, migration frameworks, and data-driven operational accelerators based on hands-on project delivery experience.
Implement data quality monitoring, automated regression validation, and lineage analysis workflows using Python and SQL to support platform development and customer migration engagements.
Evaluate cloud and multi-cloud data environments for cost efficiency, reliability, and integration risk, producing analytical recommendations that inform architectural and sourcing decisions.
Implement data models, dashboards, and internal reporting structures that unify multiple sources of information into actionable insights for product, sales, and operational teams.
Support technology partnerships and external cooperation efforts by assessing integration opportunities and coordinating the technically sound implementation of partner solutions.
Act as an internal subject matter resource for data pipeline evaluation and migration methodologies, validating analytical workflows on internal data and translating operational findings into structured product feedback.
Master's Degree in Data Science, Applied Mathematics, or a closely related quantitative field.
At least 2 years of previous experience in Data Science, Technology Evaluation, or Applied Analytical roles. Experience must include performance assessment of AI/ML technologies.
$155,000.00/Year
Datafold is an equal opportunity employer and does not discriminate against any employee or applicant for employment based on race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, marital status, military status, or any other protected characteristic. We are committed to providing equal employment opportunities to all individuals. We strive to create an inclusive and diverse work environment where all employees are valued and unique perspectives are respected and celebrated.
","descriptionPlain":"ABOUT THE ROLE\n\nData Scientist - Migration Intelligence\nDatafold, Inc. - Brooklyn, NY\nMay telecommute from the continental U.S.\n\n\n\n\nWHAT YOU’LL DO\n\n - Evaluate third-party tools, platforms, and emerging technologies relevant to data migration, data infrastructure, and AI-assisted workflows, including technical benchmarking and integration feasibility analysis, and build-versus-buy assessment.\n\n - Develop and apply quantitative models and analytical frameworks to assess migration risk, predict data quality issues, and validate data consistency across source and target database environments throughout migration project delivery.\n\n - Coordinate end-to-end delivery of customer data migration projects, including scoping, sequencing, milestone planning, risk identification, dependency management, and cross-functional execution across internal teams, customers, and external partners.\n\n - Design, build, and maintain internal data pipelines and supporting infrastructure that integrate diverse structured and unstructured data sources for analytics and reporting and operational use cases.\n\n - Develop repeatable analytical playbooks, migration frameworks, and data-driven operational accelerators based on hands-on project delivery experience.\n\n - Implement data quality monitoring, automated regression validation, and lineage analysis workflows using Python and SQL to support platform development and customer migration engagements.\n\n - Evaluate cloud and multi-cloud data environments for cost efficiency, reliability, and integration risk, producing analytical recommendations that inform architectural and sourcing decisions.\n\n - Implement data models, dashboards, and internal reporting structures that unify multiple sources of information into actionable insights for product, sales, and operational teams.\n\n - Support technology partnerships and external cooperation efforts by assessing integration opportunities and coordinating the technically sound implementation of partner solutions.\n\n - Act as an internal subject matter resource for data pipeline evaluation and migration methodologies, validating analytical workflows on internal data and translating operational findings into structured product feedback.\n\n\nREQUIREMENTS\n\n - Master's Degree in Data Science, Applied Mathematics, or a closely related quantitative field.\n\n - At least 2 years of previous experience in Data Science, Technology Evaluation, or Applied Analytical roles. Experience must include performance assessment of AI/ML technologies.\n\n\nSALARY\n\n$155,000.00/Year\n\n\n\nDatafold is an equal opportunity employer and does not discriminate against any employee or applicant for employment based on race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, marital status, military status, or any other protected characteristic. We are committed to providing equal employment opportunities to all individuals. We strive to create an inclusive and diverse work environment where all employees are valued and unique perspectives are respected and celebrated."},{"id":"40ff3cd0-aac1-4215-b308-cc22bc6f9e07","title":"Enterprise Account Executive – US","department":"Sales","team":"Sales","employmentType":"FullTime","location":"USA","secondaryLocations":[],"publishedAt":"2026-10-07T18:09:48.130+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":" ","addressCountry":"USA","addressLocality":" "}},"jobUrl":"https://jobs.ashbyhq.com/datafold/40ff3cd0-aac1-4215-b308-cc22bc6f9e07","applyUrl":"https://jobs.ashbyhq.com/datafold/40ff3cd0-aac1-4215-b308-cc22bc6f9e07/application","descriptionHtml":"About Datafold
Datafold is the data engineering automation platform. A major part of our business is delivering large-scale data engineering projects — such as data platform migrations — with AI, at a fixed price and a guaranteed timeline. We are not a typical software vendor or SI: we are a venture-backed company that reimagined automation from the ground up and delivers projects up to 6x faster than alternatives, disrupting the IT Services industry.
We partner deeply with data platforms such as Databricks and Snowflake to source, co-sell, and deliver migrations at scale.
About the role
Datafold is hiring an experienced Account Executive to own new business across the Eastern & Central regions of the US & Canada. This is a high-ownership, partner-led role. You'll sell a product where the outcome — a completed migration, on time, at a fixed price — is the contract. That's a fundamentally different conversation from traditional software sales, and it requires someone who can earn trust at both the technical and executive levels simultaneously.
You will build and run your own pipeline through our data platform partnerships, own the full sales cycle from first call to signed contract, and work closely with our Forward Deployed Engineers to ensure a seamless handoff and customer experience.
What you'll do
Own the full sales cycle for new logos across Eastern & Central US and Canada: discovery, technical qualification, proposal, negotiation, and close
Build and develop pipeline through our partner ecosystem (Databricks, Snowflake, GCP, dbt, Microsoft), including field co-sell, joint account planning, and partner-sourced introductions
Run compelling discovery and value conversations with both data engineering leaders and executive buyers (VP/CTO level)
Collaborate with Forward Deployed Data Engineers to scope migration projects, build SOWs, and set customer expectations on delivery
Represent Datafold at partner events, field meetups, and customer briefings across the US & Canada
Feed market and competitive intelligence back into product and GTM — you are close to customers and partners; your input shapes how we evolve
What we're looking for
5+ years in enterprise software sales, with at least 2 years selling into the data/analytics space (data platforms, ETL/ELT, data engineering tooling, or adjacent)
Proven track record closing new enterprise logos in the US & Canada
Experience with a partner-led or co-sell motion
Comfort with technical buyers: you don't need to write SQL, but you need to hold a credible conversation with a data engineering lead about migration complexity, risk, and timelines
Outcome-based or professional services sales experience is a strong plus — selling a fixed-price deliverable is different from selling a SaaS license, and you understand why
Self-starter with a builder mentality — we have a motion that works, but this is still an early EMEA team and you'll help define how it scales
Compensation
Competitive base salary + uncapped commission and equity
Datafold is an equal opportunity employer and does not discriminate against any employee or applicant for employment based on race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, marital status, military status, or any other protected characteristic. We are committed to providing equal employment opportunities to all individuals. We strive to create an inclusive and diverse work environment where all employees are valued and unique perspectives are respected and celebrated.
","descriptionPlain":"About Datafold\n\nDatafold is the data engineering automation platform. A major part of our business is delivering large-scale data engineering projects — such as data platform migrations — with AI, at a fixed price and a guaranteed timeline. We are not a typical software vendor or SI: we are a venture-backed company that reimagined automation from the ground up and delivers projects up to 6x faster than alternatives, disrupting the IT Services industry.\n\nWe partner deeply with data platforms such as Databricks and Snowflake to source, co-sell, and deliver migrations at scale.\n\n \n\nAbout the role\n\nDatafold is hiring an experienced Account Executive to own new business across the Eastern & Central regions of the US & Canada. This is a high-ownership, partner-led role. You'll sell a product where the outcome — a completed migration, on time, at a fixed price — is the contract. That's a fundamentally different conversation from traditional software sales, and it requires someone who can earn trust at both the technical and executive levels simultaneously.\n\nYou will build and run your own pipeline through our data platform partnerships, own the full sales cycle from first call to signed contract, and work closely with our Forward Deployed Engineers to ensure a seamless handoff and customer experience.\n\n \n\nWhat you'll do\n\n - Own the full sales cycle for new logos across Eastern & Central US and Canada: discovery, technical qualification, proposal, negotiation, and close\n\n - Build and develop pipeline through our partner ecosystem (Databricks, Snowflake, GCP, dbt, Microsoft), including field co-sell, joint account planning, and partner-sourced introductions\n\n - Run compelling discovery and value conversations with both data engineering leaders and executive buyers (VP/CTO level)\n\n - Collaborate with Forward Deployed Data Engineers to scope migration projects, build SOWs, and set customer expectations on delivery\n\n - Represent Datafold at partner events, field meetups, and customer briefings across the US & Canada\n\n - Feed market and competitive intelligence back into product and GTM — you are close to customers and partners; your input shapes how we evolve\n\nWhat we're looking for\n\n - 5+ years in enterprise software sales, with at least 2 years selling into the data/analytics space (data platforms, ETL/ELT, data engineering tooling, or adjacent)\n\n - Proven track record closing new enterprise logos in the US & Canada\n\n - Experience with a partner-led or co-sell motion\n\n - Comfort with technical buyers: you don't need to write SQL, but you need to hold a credible conversation with a data engineering lead about migration complexity, risk, and timelines\n\n - Outcome-based or professional services sales experience is a strong plus — selling a fixed-price deliverable is different from selling a SaaS license, and you understand why\n\n - Self-starter with a builder mentality — we have a motion that works, but this is still an early EMEA team and you'll help define how it scales\n\nCompensation\n\nCompetitive base salary + uncapped commission and equity\n\n\n\nDatafold is an equal opportunity employer and does not discriminate against any employee or applicant for employment based on race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, marital status, military status, or any other protected characteristic. We are committed to providing equal employment opportunities to all individuals. We strive to create an inclusive and diverse work environment where all employees are valued and unique perspectives are respected and celebrated."}],"apiVersion":"1"}