Acryl Data
Overview
DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides in-depth context of AI and data assets with best-in-class scalability and extensibility.
The company's enterprise SaaS offering, DataHub Cloud, delivers a fully managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance, enabling AI & data to work together and bring order to data chaos.
AI Tech Lead, San Francisco Bay Area Role Overview We're seeking an experienced AI Technical Lead to spearhead our AI initiatives within DataHub, focusing on intelligent metadata management and shaping our AI infrastructure strategy. This role combines hands-on technical leadership in implementing AI-powered features with strategic thinking about how enterprises deploy and manage AI systems at scale. You'll work at the intersection of data catalog systems and modern AI infrastructure, helping organizations navigate the complexities of enterprise AI deployment while ensuring robust governance and efficiency.
Key Responsibilities AI Features & Implementation Lead the technical implementation of AI-powered features in DataHub, including automated data classification, PII detection, and sensitive data identification Architect and implement scalable ML pipelines for continuous learning and model updates Design and implement systems for model monitoring, validation, and performance tracking Guide the team in implementing privacy-preserving ML techniques and ensuring compliance with data protection standards Shape the metadata framework needed to support enterprise AI systems, including model cards, lineage tracking, and deployment metadata Define standards for capturing and managing AI-related metadata, including training data versioning, model provenance, and deployment configurations Design systems to track and manage AI assets across the development lifecycle Develop best practices for AI observability and governance in enterprise settings
Technical Leadership Lead architectural decisions for AI systems integration within DataHub Mentor team members on ML engineering best practices and AI system design Collaborate with product management to define AI feature roadmap Work with customers to understand their AI infrastructure needs and challenges
Required Qualifications 8+ years of software engineering experience, with at least 4 years focused on ML/AI systems Strong experience with modern ML frameworks (PyTorch, TensorFlow) and MLOps tools Deep understanding of LLM deployment, fine-tuning, and operational considerations Experience with AI governance, including model monitoring, bias detection, and fairness metrics Strong background in data privacy and security, particularly in AI contexts Experience with enterprise AI deployment and infrastructure management Proficiency in Python and modern AI development tools Understanding of vector databases, embedding systems, and semantic search Experience with distributed systems and scalable architecture
Preferred Qualifications Experience working with DataHub is a huge plus! Experience building AI-powered features in enterprise SaaS products Background in data catalog or metadata management systems Familiarity with AI governance frameworks and standards Experience with AI infrastructure cost optimization Knowledge of regulatory requirements around AI systems Track record of building production ML systems
Essential Knowledge Areas Deep understanding of enterprise AI infrastructure components, including training infrastructure and AI governance tools Familiarity with key considerations for enterprise AI deployment, including security requirements, compliance, performance monitoring, resource management, and model versioning/rollback
Why Join Us DataHub is at a rare inflection point: we’ve achieved product-market fit, earned the trust of leading enterprises, and secured backing from top-tier investors like Bessemer Venture Partners and 8VC. The context platform market is expected to grow from $1B to $9B in the next five years—and we’re leading the way.
By joining our team, you’ll:
Tackle high-impact challenges at the heart of enterprise AI infrastructure Ship production systems that power real-world use cases at global scale Collaborate with a high-caliber team of builders who’ve scaled some of the most influential data tools in the world Build the next generation of AI-native data systems, including conversational agents, intelligent classification, automated governance, and more
If you're passionate about technology, enjoy working with customers, and want to be part of a fast-growing company changing the industry, we want to hear from you!
Benefits and Perks We invest in people so they can do their best work and enjoy doing it. Our benefits reflect the way we build: practical, thoughtful, and designed to support long-term growth.
Competitive compensation
We offer salaries that reflect your skills, experience, and the impact you make. You bring value—we make sure you're recognized for it.
Equity for everyone
Every team member receives an ownership stake in the company. When we grow, you grow with us.
Remote Work
All roles are remote unless otherwise specified in the job description. Review the job description to confirm if the role you are interested in is remote or hybrid.
Location flexibility
Home office, coworking space, or something in between? We support your ideal setup. You’ll receive a monthly coworking stipend to use whenever you need a change of pace or in-person collaboration time.
Your well-being matters. We cover 99% of medical, dental, and vision premiums employees, and 65% for dependents.
Flexible savings accounts
We offer FSAs to help cover planned or unexpected healthcare costs. You can also opt into a Dependent Care FSA to support family needs.
Support for every path to parenthood
Through Carrot Fertility, we provide inclusive fertility benefits and family-forming support. All U.S. employees have access, regardless of age, gender identity, or family structure.
Time off that works for you
We trust you to take the time you need. Our unlimited PTO and sick leave policy is designed for flexibility, rest, and real life.
Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is voluntary. The information will be recorded and maintained in a confidential file. DataHub’s Equal Employment Opportunity policy states that we do not discriminate on the basis of any protected status.
Voluntary Self-Identification of Disability Form CC-305
OMB Control Number 1250-0005
Expires 04/30/2026
Why are you being asked to complete this form?
We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years.
Completing this form is voluntary, and your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp.
Disability Status select...
PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete.
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The company's enterprise SaaS offering, DataHub Cloud, delivers a fully managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance, enabling AI & data to work together and bring order to data chaos.
AI Tech Lead, San Francisco Bay Area Role Overview We're seeking an experienced AI Technical Lead to spearhead our AI initiatives within DataHub, focusing on intelligent metadata management and shaping our AI infrastructure strategy. This role combines hands-on technical leadership in implementing AI-powered features with strategic thinking about how enterprises deploy and manage AI systems at scale. You'll work at the intersection of data catalog systems and modern AI infrastructure, helping organizations navigate the complexities of enterprise AI deployment while ensuring robust governance and efficiency.
Key Responsibilities AI Features & Implementation Lead the technical implementation of AI-powered features in DataHub, including automated data classification, PII detection, and sensitive data identification Architect and implement scalable ML pipelines for continuous learning and model updates Design and implement systems for model monitoring, validation, and performance tracking Guide the team in implementing privacy-preserving ML techniques and ensuring compliance with data protection standards Shape the metadata framework needed to support enterprise AI systems, including model cards, lineage tracking, and deployment metadata Define standards for capturing and managing AI-related metadata, including training data versioning, model provenance, and deployment configurations Design systems to track and manage AI assets across the development lifecycle Develop best practices for AI observability and governance in enterprise settings
Technical Leadership Lead architectural decisions for AI systems integration within DataHub Mentor team members on ML engineering best practices and AI system design Collaborate with product management to define AI feature roadmap Work with customers to understand their AI infrastructure needs and challenges
Required Qualifications 8+ years of software engineering experience, with at least 4 years focused on ML/AI systems Strong experience with modern ML frameworks (PyTorch, TensorFlow) and MLOps tools Deep understanding of LLM deployment, fine-tuning, and operational considerations Experience with AI governance, including model monitoring, bias detection, and fairness metrics Strong background in data privacy and security, particularly in AI contexts Experience with enterprise AI deployment and infrastructure management Proficiency in Python and modern AI development tools Understanding of vector databases, embedding systems, and semantic search Experience with distributed systems and scalable architecture
Preferred Qualifications Experience working with DataHub is a huge plus! Experience building AI-powered features in enterprise SaaS products Background in data catalog or metadata management systems Familiarity with AI governance frameworks and standards Experience with AI infrastructure cost optimization Knowledge of regulatory requirements around AI systems Track record of building production ML systems
Essential Knowledge Areas Deep understanding of enterprise AI infrastructure components, including training infrastructure and AI governance tools Familiarity with key considerations for enterprise AI deployment, including security requirements, compliance, performance monitoring, resource management, and model versioning/rollback
Why Join Us DataHub is at a rare inflection point: we’ve achieved product-market fit, earned the trust of leading enterprises, and secured backing from top-tier investors like Bessemer Venture Partners and 8VC. The context platform market is expected to grow from $1B to $9B in the next five years—and we’re leading the way.
By joining our team, you’ll:
Tackle high-impact challenges at the heart of enterprise AI infrastructure Ship production systems that power real-world use cases at global scale Collaborate with a high-caliber team of builders who’ve scaled some of the most influential data tools in the world Build the next generation of AI-native data systems, including conversational agents, intelligent classification, automated governance, and more
If you're passionate about technology, enjoy working with customers, and want to be part of a fast-growing company changing the industry, we want to hear from you!
Benefits and Perks We invest in people so they can do their best work and enjoy doing it. Our benefits reflect the way we build: practical, thoughtful, and designed to support long-term growth.
Competitive compensation
We offer salaries that reflect your skills, experience, and the impact you make. You bring value—we make sure you're recognized for it.
Equity for everyone
Every team member receives an ownership stake in the company. When we grow, you grow with us.
Remote Work
All roles are remote unless otherwise specified in the job description. Review the job description to confirm if the role you are interested in is remote or hybrid.
Location flexibility
Home office, coworking space, or something in between? We support your ideal setup. You’ll receive a monthly coworking stipend to use whenever you need a change of pace or in-person collaboration time.
Your well-being matters. We cover 99% of medical, dental, and vision premiums employees, and 65% for dependents.
Flexible savings accounts
We offer FSAs to help cover planned or unexpected healthcare costs. You can also opt into a Dependent Care FSA to support family needs.
Support for every path to parenthood
Through Carrot Fertility, we provide inclusive fertility benefits and family-forming support. All U.S. employees have access, regardless of age, gender identity, or family structure.
Time off that works for you
We trust you to take the time you need. Our unlimited PTO and sick leave policy is designed for flexibility, rest, and real life.
Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is voluntary. The information will be recorded and maintained in a confidential file. DataHub’s Equal Employment Opportunity policy states that we do not discriminate on the basis of any protected status.
Voluntary Self-Identification of Disability Form CC-305
OMB Control Number 1250-0005
Expires 04/30/2026
Why are you being asked to complete this form?
We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years.
Completing this form is voluntary, and your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp.
Disability Status select...
PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete.
#J-18808-Ljbffr