About the Team 

A highly scalable and highly available real-time advertising platform is crucial for supporting and growing Roku's advertising business. The mission of the Ad Engineering Team is to build this platform. We are hiring a Senior Software Engineer for the Advertising Platform to play a vital role in this mission. If you bring extensive experience building complex systems, love great technology at scale, enjoy mentoring, jumping in, and figuring things out in any system, this role is for you! 

About the Role 

Roku pioneered TV streaming and continues to innovate, leading the industry. The Roku Channel has us well-positioned to help shape the future of streaming. Continued success relies on investing in Advertising Engineering. The ideal candidate will possess endless curiosity and be able to pair a global mindset with locally relevant execution. The successful candidate will demonstrate a balance of hard and soft skills, including the ability to respond promptly to evolving business needs.

Building a real-time, highly scalable, and available advertising platform is critical for our success. Our team’s mission is to build a best-in-class advertising platform to support and grow Roku’s exploding ad business. Our platforms are highly performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy.

For California Only - The estimated annual salary for this position is between $195,000 - $408,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. 

What You'll Be Doing

• Work alongside a highly skilled engineering team to design, develop, and maintain large-scale, highly performing, real-time applications 
• Own building features, driving directly with the product, and other engineering teams 
• Demonstrate excellent communication skills in working with technical and non-technical audiences 
• Be an evangelist for best practices across all functions – developers, QA, and infrastructure/ops 
• Be an evangelist for platform innovation and reuse 
• Deliver top-quality software in a timely fashion 

We're Excited If You Have

• 10+ years of experience building large-scale and low-latency distributed systems
• Command of Java or C++
• Solid understanding of algorithms, data structures, performance optimization techniques, object-oriented programming, multi-threading, and real-time programming 
• Experience with distributed caching, SQL/NoSQL, and other databases is a plus 
• Experience with Big Data and cloud services such as AWS/GCP is a plus
• Experience in the advertising domain is a big plus 
• B.S. or M.S. degree in Computer Science, Engineering, or equivalent 
• Self-motivated individual with a high level of accountability and ownership
• Critical thinking and practical decision-making
• Can do, results-oriented mindset
• Nonpolitical, collaborative, and team-oriented
• Desire to win in a highly competitive industry
• AI literacy and curiosity. You have either 1) tried Gen AI in your previous work or outside of work or 2) are curious about Gen AI and have explored it
  
  

#LI-SSC

About the Team 

A highly scalable and highly available real-time advertising platform is crucial for supporting and growing Roku's advertising business. The mission of the Ad Engineering Team is to build this platform. We are hiring a Senior Software Engineer for the Advertising Platform to play a vital role in this mission. If you bring extensive experience building complex systems, love great technology at scale, enjoy mentoring, jumping in, and figuring things out in any system, this role is for you! 

About the Role 

Roku pioneered TV streaming and continues to innovate, leading the industry. The Roku Channel has us well-positioned to help shape the future of streaming. Continued success relies on investing in Advertising Engineering. The ideal candidate will possess endless curiosity and be able to pair a global mindset with locally relevant execution. The successful candidate will demonstrate a balance of hard and soft skills, including the ability to respond promptly to evolving business needs.

Building a real-time, highly scalable, and available advertising platform is critical for our success. Our team’s mission is to build a best-in-class advertising platform to support and grow Roku’s exploding ad business. Our platforms are highly performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy.

For New York Only - The estimated annual salary for this position is between $195,000 - $408,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. 

What You'll Be Doing

• Work alongside a highly skilled engineering team to design, develop, and maintain large-scale, highly performing, real-time applications 
• Own building features, driving directly with the product, and other engineering teams 
• Demonstrate excellent communication skills in working with technical and non-technical audiences 
• Be an evangelist for best practices across all functions – developers, QA, and infrastructure/ops 
• Be an evangelist for platform innovation and reuse 
• Deliver top-quality software in a timely fashion 

We're Excited If You Have

• 10+ years of experience building large-scale and low-latency distributed systems
• Command of Java or C++
• Solid understanding of algorithms, data structures, performance optimization techniques, object-oriented programming, multi-threading, and real-time programming 
• Experience with distributed caching, SQL/NoSQL, and other databases is a plus 
• Experience with Big Data and cloud services such as AWS/GCP is a plus
• Experience in the advertising domain is a big plus 
• B.S. or M.S. degree in Computer Science, Engineering, or equivalent 
• Self-motivated individual with a high level of accountability and ownership
• Critical thinking and practical decision-making
• Can do, results-oriented mindset
• Nonpolitical, collaborative, and team-oriented
• Desire to win in a highly competitive industry
• AI literacy and curiosity. You have either 1) tried Gen AI in your previous work or outside of work or 2) are curious about Gen AI and have explored it

About the Team 

A highly scalable and highly available real-time advertising platform is crucial for supporting and growing Roku's advertising business. The mission of the Ad Engineering Team is to build this platform. We are hiring a Senior Software Engineer for the Advertising Platform to play a vital role in this mission. If you bring extensive experience building complex systems, love great technology at scale, enjoy mentoring, jumping in, and figuring things out in any system, this role is for you! 

About the Role 

Roku pioneered TV streaming and continues to innovate, leading the industry. The Roku Channel has us well-positioned to help shape the future of streaming. Continued success relies on investing in Advertising Engineering. The ideal candidate will possess endless curiosity and be able to pair a global mindset with locally relevant execution. The successful candidate will demonstrate a balance of hard and soft skills, including the ability to respond promptly to evolving business needs.

Building a real-time, highly scalable, and available advertising platform is critical for our success. Our team’s mission is to build a best-in-class advertising platform to support and grow Roku’s exploding ad business. Our platforms are highly performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy.

For Massachusetts Only - The estimated annual salary for this position is between $195,500 - $352,100 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What You'll Be Doing

• Work alongside a highly skilled engineering team to design, develop, and maintain large-scale, highly performing, real-time applications 
• Own building features, driving directly with the product, and other engineering teams 
• Demonstrate excellent communication skills in working with technical and non-technical audiences 
• Be an evangelist for best practices across all functions – developers, QA, and infrastructure/ops 
• Be an evangelist for platform innovation and reuse 
• Deliver top-quality software in a timely fashion 

We're Excited If You Have

• 10+ years of experience building large-scale and low-latency distributed systems
• Command of Java or C++
• Solid understanding of algorithms, data structures, performance optimization techniques, object-oriented programming, multi-threading, and real-time programming 
• Experience with distributed caching, SQL/NoSQL, and other databases is a plus 
• Experience with Big Data and cloud services such as AWS/GCP is a plus
• Experience in the advertising domain is a big plus 
• B.S. or M.S. degree in Computer Science, Engineering, or equivalent 
• Self-motivated individual with a high level of accountability and ownership
• Critical thinking and practical decision-making
• Can do, results-oriented mindset
• Nonpolitical, collaborative, and team-oriented
• Desire to win in a highly competitive industry
• AI literacy and curiosity. You have either 1) tried Gen AI in your previous work or outside of work or 2) are curious about Gen AI and have explored it

#LI-SSC

ABOUT THE TEAM

The People Analytics team is at the forefront of transforming how we understand and optimize our workforce. We are a dynamic group of analytical thinkers and storytellers who leverage advanced analytics and robust methodologies to create strategic insights from complex HR data. Collaborating closely with HR Business Partners, Program Management Teams, Business Operations, Talent Acquisition and various cross functional stakeholders we provide actionable insights that drive informed decisions across the entire employee lifecycle; from optimizing talent acquisition and development to enhancing engagement and retention. Our work directly shapes a thriving employee experience, fuels organizational growth, and ensures our people strategy is truly data-driven.

ABOUT THE JOB

This role is central to our People Data & Analytics team, where you will be instrumental in building and maintaining the robust data infrastructure that powers our strategic insights. You'll own the full data lifecycle, from ensuring accurate ingestion and integration of diverse HR data sources, to designing, developing, and optimizing data models and pipelines. Your primary objective will be to transform raw, disparate information into clean, reliable, and analytics-ready datasets, empowering our People Analysts and business stakeholders to unlock deeper understanding of our workforce, enhance employee experience, and drive data-driven decision-making. Success in this role requires a strong technical foundation, meticulous attention to data quality, and a passion for crafting efficient data solutions.

WHAT YOU'LL DO

• Design, build, and optimize robust ETL/ELT pipelines to reliably ingest, integrate, and transform diverse people data from various HR systems (HRIS, ATS, LMS, etc.) into our data platform.
• Develop, maintain, and govern scalable and secure data models, schemas, and ontologies specifically for people analytics, ensuring data quality, consistency, and accessibility for downstream consumption.
• Contribute to the strategic design, development, and evolution of our people data platform and tooling, advocating for engineering best practices, automation, and a scalable analytics ecosystem (e.g., leveraging SQLMesh, Iceberg, Flyte).
• Partner closely with People Analysts, HR Business Partners, and other stakeholders to understand their analytical needs and translate them into robust data solutions, providing well-structured, documented, and reliable datasets.
• Implement and monitor data quality checks, identify discrepancies, troubleshoot data issues, and ensure the reliability and integrity of people data across all systems.
• Continuously monitor the performance of data pipelines and models, identifying bottlenecks and implementing solutions to ensure the efficiency and scalability of our people data infrastructure.
• Create and maintain comprehensive documentation for data pipelines, models, and processes, and champion data engineering best practices (e.g., version control, testing, CI/CD) within the team.
• Implement and enforce strict data security measures and ensure all data handling practices comply with internal policies and external regulations (e.g., GDPR, CCPA) related to employee data privacy.
• Collaborate with broader enterprise analytics and data engineering teams to align on data architecture standards, integrate people data with other business domains, and contribute to the overall evolution of the company's data platform.

REQUIRED QUALIFICATIONS

• 5-7 years of progressive experience in Data Engineering, Analytics Engineering, or a similar role focused on building and optimizing data pipelines and data infrastructure.
• Expert-level proficiency in SQL for complex data manipulation and querying, and advanced Python for scripting, data processing, and automation.
• Extensive experience with cloud-based data warehousing solutions (e.g., Snowflake, Google BigQuery, AWS Redshift, Databricks/Delta Lake) and data lake technologies (e.g., AWS S3, Azure Data Lake Storage).
• Deep understanding and proven experience in designing, implementing, and maintaining robust data models (e.g., dimensional modeling, Kimball methodology) for analytical purposes.
• Hands-on experience building and optimizing complex ETL/ELT processes and data pipelines using modern tools such as dbt, Apache Airflow, Flyte, Dagster, or similar orchestration platforms.
• Excellent communication skills, both written and verbal, with the ability to translate technical concepts for non-technical stakeholders and collaborate effectively across diverse teams.
• Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field.
• Strong technical foundation in data engineering, with expertise in SQL, Python, and experience working with cloud-based data platforms (e.g., AWS, GCP, Azure).

Preferred Qualifications:

• Experience with big data processing frameworks (e.g., Apache Spark, Flink) and advanced data warehousing features like schema evolution or time travel (e.g., Apache Iceberg, Delta Lake).
• Direct hands-on experience with tools mentioned in our stack like Palantir Foundry, SQLMesh, Flyte, or similar cutting-edge data orchestration and transformation platforms.
• Relevant professional certifications from major cloud providers (e.g., AWS Certified Data Analytics - Specialty, Google Cloud Professional Data Engineer).
• Experience with tools like Terraform, CloudFormation, Docker, or Kubernetes for managing data infrastructure and deploying applications.
• Familiarity with integrating data pipelines with leading BI tools (e.g., Tableau, Power BI, Looker) to optimize dashboard performance and data accessibility for end-users.
• Deep expertise working with data from specific enterprise HRIS systems like Rippling, Workday, and Oracle HCM Cloud including their data models and APIs.
• Solid understanding of HR data concepts, metrics, and common HR systems (HRIS, ATS, LMS), with a strong interest in People Analytics.

About the opportunity

Candidates must be located in the eastern time zone

Contentful strives to build a secure and safe service and commits considerable effort and resources to security. Our Security team supports organization-wide information security management programs and collaborates closely with internal teams. We believe that Security must be anchored by DevOps principles with strong repeatable processes.

We are looking for a committed and driven manager who is passionate about solving complex security problems in innovative and scalable ways. As a Manager of Security Engineering, you will own security engineering across Contentful’s corporate systems, including the tooling and platforms that support the internal security team. While this role does not own security for the customer facing product, you will partner closely with product security teams within the security organization on shared responsibilities.

You will balance people leadership with hands-on technical execution, including designing, building, and operating security controls and tooling at scale, with a particular focus on areas such as identity and access management, data security, and SaaS platforms. You will provide strategic guidance and lead initiatives while remaining directly involved in implementation. You may work independently at times, but will more often collaborate closely with security, IT, and cross-functional partners to align strategies, execute shared initiatives, and ensure comprehensive risk mitigation while minimizing impact on end users across the organization.

What to expect?

• Develop a team, providing coaching, mentorship, goal setting, and performance feedback.
• Define roles and make hiring decisions to grow the team in line with department needs.
• Remain hands on, balancing technical leadership with direct implementation work.
• Own execution and prioritization across projects and operations, using agile delivery practices.
• Scale and mature effectiveness and efficiency by improving processes and tooling.
• Champion continuous improvement across all aspects of the security program.
• Continuously improve effectiveness and efficiency by evolving processes and tooling.
• Communicate risks and technical concepts with clarity to leadership and stakeholders.
• Collaborate with security leadership to execute business aligned, risk reduction roadmaps.
• Shape work scope, sequencing, and success criteria inline with department and company needs.
• Drive security processes, standards, and best practices across information technology assets.
• Partner with stakeholders to evolve security awareness and specialized training across all functions.
• Mature capabilities across endpoint, SaaS, and cloud configuration.
• Own strategy evolution of corporate capabilities, including configuration, IAM, and data security.
• Enhance tooling, automation, and integrations to improve visibility and reduce manual effort.
• Support and guide security incident response efforts as a technical leader.
• Support cross functional vulnerability management while advancing the program capabilities.
• Define and maintain metrics to measure impact, optimize execution, and guide investment.
• Partner with cross-functional teams for security enhancement and drive risk reduction.
• Accelerate adoption of AI, balancing practicality enablement, and risk management.
• Stay current on threats, vulnerabilities, and tactics, translating insights into actionable strategies.

What you need to be successful?

• 8+ years of progressive engineering and security experience.
• 3+ years managing people and security engineering teams.
• Comfort operating in ambiguity, balancing strategic thinking, security, and practicality.
• Expertise with AWS, GCP, and Azure.
• Strong hands-on experience designing, implementing, and operating security controls at scale.
• Demonstrated experience securing endpoint, SaaS, and cloud environments.
• Experience working within identity and access management and data security programs.
• Software development experience in modern programming language (Python, Go, etc)
• Hands-on experience using Terraform and infrastructure-as-code.
• Experience applying modern practices to improve efficiency and scalability or security programs.
• Passion for solving complex security problems in innovative and scalable ways.
• Experience using metrics to measure impact, optimize execution, and guide investment decisions.
• Strong communication skills with the ability to explain technical topics to non technical audiences.
• Ability to support occasional off-hours incident response efforts.
• Familiarity with attacker techniques in cloud-native and traditional environments.
• Hands-on experience owning security technologies (e.g., EDR, AntiVirus, etc.)
• Proven ability to lead cross-functional initiatives and influence outcomes without direct authority.
• Experience owning end to end security programs, proactively driving incremental improvement.
• Strong systems thinking, with the ability to design security solutions that scale through efficiency.

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

Massachusetts Salary Statement: The salary range displayed is specifically for those potential hires who will work or reside in the state of Massachusetts if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD/technology), for example.

Massachusetts Salary Range: $187,000 - $253,00

#LI-Remote 

About the Opportunity

We are hiring a Senior Personalization Solution Architect with deep domain expertise in personalization and experimentation to join Contentful’s Professional Services team. This role is designed for a practitioner who has built, operated, and scaled personalization programs in production, and who also brings the hands-on technical skills required to implement those programs in modern, composable architectures.

This is not a generalist Solution Architect role with light exposure to personalization. Success in this role requires strong opinions and real-world experience across audience strategy, decisioning, experimentation, and measurement—paired with the ability to design and deliver high-quality technical implementations using Contentful Personalization.

You will work directly with customer engineering, product, and marketing teams to design and implement advanced personalization and experimentation solutions, while also serving as a customer-facing extension of Contentful’s Product and Engineering teams. Your work will help reduce implementation risk, accelerate time to value, and create tighter feedback loops into product development—specifically for complex personalization use cases.

What to expect? 

Personalization & Experimentation Domain Leadership 

• Own the end-to-end design of personalization and experimentation programs, including:
• audience and segmentation strategies grounded in behavioral, contextual, and first-party data
• experience decisioning models that balance relevance, performance, and governance
• experimentation frameworks (A/B, multivariate, holdouts) with clear hypotheses and success criteria
  
  
• Design personalization strategies that scale responsibly, including:
• guardrails to prevent over-personalization, bias, and degraded user experience
• approaches for global, multi-brand, or multi-region deployments
• tradeoffs between targeting precision, latency, and operational complexity
  
  
• Define measurement approaches that connect:
• user behavior → decisioning logic → exposure → business outcomes
  
  
• Act as a domain authority for personalization and experimentation in customer engagements, confidently guiding technical and non-technical stakeholders through best practices, limitations, and tradeoffs.

Technical Solution Architecture & Hands-On Delivery

• Architect and implement end-to-end personalization solutions using Contentful Personalization, including:
• user identification and profile stitching
• audience evaluation and decisioning
• personalized content and experience delivery
  experimentation and uplift measurement
  
  
• Lead hands-on implementation activities such as:
• building proof-of-concepts and reference implementations
• configuring personalization models and decision logic
• developing integration services and APIs
• supporting production deployments and performance optimization
  
  
• Integrate personalization solutions with enterprise platforms including:
• CDPs (Segment, Tealium, mParticle, etc.)
• CRMs (Salesforce, Dynamics)
• analytics platforms (GA4, Adobe Analytics, Snowplow)
• identity, consent, and privacy tooling
  
  
• Design personalization delivery patterns across modern rendering strategies:
• SSR, CSR, SSG, ISR
• edge and CDN-based personalization
• hybrid static + runtime personalization approaches
  
  
• Ensure solutions meet enterprise requirements for:
• performance and scalability
• reliability and fallback behavior
• security and privacy compliance

Technical Discovery & Customer Enablement

• Lead technical discovery sessions to assess customer readiness across:
• data quality, identity maturity, and event instrumentation
• architectural constraints (latency, caching, edge delivery)
• content model alignment and operational workflows
  
  
• Translate personalization requirements into detailed technical designs, including:
• integration patterns and API contracts
• data and event schemas
• deployment and observability considerations
  
  
• Enable customer teams through:
• implementation workshops and pair-programming
• architecture and code reviews
• developer documentation and operational runbooks

Cross-Functional Collaboration & Feedback Loops

• Partner closely with Contentful Product and Engineering teams to:
• surface implementation challenges and recurring customer pain points
• provide feedback that influences roadmap, developer experience, and documentation
• validate new personalization capabilities against real customer use cases
  
  
• Contribute to internal enablement by:
• mentoring Solution Architects and delivery team members
• developing reusable accelerators, patterns, and reference architectures
• supporting Sales and Solution Engineering with technical expertise in complex personalization opportunities

What you need to be successful?

Required: Personalization & Experimentation Domain Expertise

• Demonstrated, hands-on experience designing and operating personalization and experimentation programs in production, including:
• ownership of audience strategy and decisioning logic
• designing and running A/B or multivariate experiments beyond basic UI testing
• interpreting experiment results and translating them into iterative improvements
  
  
• Strong understanding of personalization challenges such as:
• identity resolution and anonymous vs known users
• data sparsity and cold-start scenarios
• experimentation validity, bias, and statistical tradeoffs
• privacy, consent, and regulatory constraints

Required: Technical & Architectural Skills

• Advanced proficiency with modern web technologies:
  • JavaScript / TypeScript
  • React with Next.js (preferred), or Vue/Nuxt, Angular
  • REST and GraphQL APIs
    
    
• Deep understanding of web rendering and delivery patterns:
  • SSR, CSR, SSG, ISR
  • caching strategies and personalization at scale
• Strong experience integrating SaaS platforms and enterprise systems via APIs
• Experience designing or implementing cloud-native architectures (AWS, Azure, or GCP), including:
  • serverless or microservices-based systems
  • event-driven or streaming architectures

Professional Services & Collaboration Skills

• Experience delivering customer-facing technical engagements in a consulting or professional services context
• Comfortable leading technical deep dives with engineering teams and explaining experimentation concepts to non-technical stakeholders
• Strong written communication skills, especially technical documentation

Nice to Have

• Experience with CDPs, tag management systems, and event pipelines
• Familiarity with ML-driven personalization approaches (e.g., propensity models, recommenders), even if models are externally managed
• Experience working in composable DXP ecosystems (CMS, personalization, experimentation, commerce)

What Success Looks Like

• Customers successfully deploy production-grade personalization and experimentation programs using Contentful Personalization.
• Personalization solutions you design are:
• measurable and outcome-driven
• performant at enterprise scale
• governed and extensible over time
• Customer engineering teams trust your guidance because you bring deep personalization domain expertise backed by hands-on implementation experience.
• Product and Engineering teams benefit from clear, actionable feedback rooted in real customer implementations.
• Contentful is consistently seen as a credible personalization partner, not just a technology vendor.

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

Massachusetts Salary Statement: The salary range displayed is specifically for those potential hires who will work or reside in the state of Massachusetts if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD/technology), for example.

Massachusetts Salary Range: $153,000 - $207,000 (80/20 split)

Position Overview

We are seeking a detail-oriented Director, Compliance to join Iterative Health's growing team in New York, NY or Cambridge, MA. This role will be instrumental in leading the strategic development of compliance programs to ensure our clinical trial optimization solutions meet all regulatory requirements across healthcare, clinical trials, and data privacy domains. The ideal candidate will have deep expertise in healthcare compliance frameworks and the ability to operationalize complex regulatory requirements in a fast-paced health tech environment.

Key Responsibilities

Regulatory Compliance & Risk Management

• Experienced with the compliance aspects of clinical trial & clinical research
• Maintain comprehensive compliance with GDPR, HIPAA, and other applicable data privacy regulations
• Lead SOC 2 Type II audit preparation and ongoing compliance, including controls documentation and evidence collection
• Develop and implement compliance policies and procedures specific to clinical trial technologies and healthcare AI solutions
• Ensure adherence to Anti-Kickback Statute, Stark Law, and PhRMA Code requirements in all business relationships
• Monitor evolving AI regulations and their impact on clinical trial optimization platforms

Quality Management & Documentation

• Oversee Quality Management System (QMS) in partnership with other team members, for maintenance and contractual compliance 
• Establish and maintain comprehensive record retention policies across clinical, regulatory, and business functions
• Manage document control processes for clinical protocols, compliance documentation, and regulatory correspondence
• Coordinate with clinical operations team to ensure GCP compliance in trial management and data collection

Contract & Vendor Compliance

• Review and negotiate compliance terms in customer agreements, vendor contracts, and clinical trial agreements
• Conduct vendor risk assessments and ongoing compliance monitoring for third-party service providers
• Ensure contract compliance with healthcare customer requirements, including BAAs and data processing agreements
• Support commercial team with compliance aspects of customer onboarding and due diligence processes

Training & Cross-Functional Support

• Develop and deliver compliance training programs for employees across all functions
• Serve as primary compliance liaison with external auditors, regulators, and certification bodies
• Collaborate with legal, clinical, and product teams on regulatory strategy and risk mitigation
• Maintain compliance calendar and ensure timely completion of regulatory filings and renewals

Required Qualifications

Education & Experience

• Bachelor’s degree in Life Sciences, Business, or a related field plus 8+ years of compliance experience in healthcare, biotech, or clinical research organizations; advanced degree preferred
• OR Juris Doctor (JD) or other advanced degree plus 5+ years of compliance experience in healthcare, biotech, or clinical research organizations
• Direct experience with clinical trial regulations and GCP requirements
• Proven track record managing compliance programs in regulated industries

Technical Expertise

• Employment law and HR compliance expertise, including workplace privacy, salary transparency, employee data protection, and regulatory training requirements
• Corporate governance and general business compliance including anti-corruption, export controls, and corporate record-keeping requirements
• Privacy program management across all business functions, including vendor privacy assessments and cross-border data transfer compliance
• Financial compliance awareness including regulatory reporting requirements
• Deep knowledge of GDPR and HIPAA requirements and implementation
• Hands-on experience with SOC 2 audits and information security compliance frameworks
• Familiarity with clinical research regulations (GCP, ICH guidelines, 21 CFR Part 11)
• Understanding of AI/ML regulatory landscape in healthcare and clinical trials

Core Competencies

• Strong analytical and problem-solving skills with ability to translate complex regulations into actionable policies
• Excellent written and verbal communication skills for regulatory correspondence and training delivery
• Project management experience with ability to manage multiple compliance initiatives simultaneously
• Detail-oriented approach with strong documentation and process improvement capabilities

Preferred Qualifications

• Professional certifications (CIPP, CISA, CCEP, CHRC, or similar compliance credentials)
• Experience with international regulations (EU Clinical Trials Regulation, other global markets)
• Background in clinical research or pharmaceutical compliance
• Familiarity with AI ethics and algorithmic bias considerations in healthcare
• Experience with healthcare technology or SaaS compliance programs

FEQ227R295

While candidates in the listed location(s) are encouraged to apply for this role, exceptionally well-qualified candidates in other East Coast locations will also be considered.

Mission

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales teams and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for:

• 4+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

About Formlabs:

Do you want to change how the world creates?

At Formlabs, we’re building the tools that make it possible for anyone to bring their ideas to life, from cutting-edge products to life-saving medical devices. Our 3D printing technology powers innovation at more than 50,000 industry leaders worldwide, including Apple, Google, Tesla, New Balance, and NASA. Together, we’re helping everyone design, prototype, and manufacture faster than ever before.

We’re a team of hands-on builders, engineers, and innovators reinventing how the world makes physical things. If you’re ready to shape the future of fabrication, come build it with us.

Your Impact: 

As a Digital Systems Engineer at Formlabs, you will play a crucial role in designing, enhancing, and maintaining applications in our digital landscape: eCommerce, CRM, Marketing, and Sales/Service. You will build new features, facilitate new integrations with other business systems, and ensure the performance, stability, and scalability of our digital environment. You will collaborate closely with business stakeholders and peer Systems teams to deliver impactful solutions that support our growth and improve operational efficiency.

This is an exciting opportunity for a motivated digital engineer who can span across multiple platforms and technologies, thrives in a fast-paced, collaborative environment, and is passionate about driving business growth and excellence through technology.

This role is based in our Budapest, Hungary office or in our Somerville, Massachusetts, USA office and is a full-time position.

The Job:

• Architect, develop, configure, and customize the back-end Shopify B2B Commerce platform, including creating/enhancing Shopify Apps, Shopify Functions & Extensions, and Shopify APIs. (This is not a front-end Shopify role.)
• Design and develop complex B2B capabilities that go beyond Shopify B2B’s standard features, both inside and outside Shopify B2B, and with relevant integration capabilities throughout Formlabs digital landscape.
• Partner with the headless front-end teams and provide backend expertise, data, and API endpoints that serve blazing-fast, SEO-optimized user experiences.
• Partner with the Salesforce team to architect and develop key integrations, features, and functions to enable sales and service excellence, through both assisted and self-service capabilities.
• Collaborate and drive enterprise integrations between Shopify, Salesforce, ERP, DWH, and other internal/external systems using APIs and middleware.
• Develop and contribute to various other digital roadmap initiatives, such as marketing automation, AI-driven tools for sales and service, and vendor solutions.
• Utilize modern software development practices to deliver well-documented, clean, efficient code: version/branch control, QA practices, CI/CD, deployment keys, etc.
• Collaborate with stakeholders and technical partners to define and understand requirements and translate to scalable technical solutions.
• Contribute to the strategic direction of Formlabs’ digital landscape.

You:

• 5+ years of professional experience as a full-stack engineer building eCommerce or digital platforms for a B2B business
• Proven proficiency and experience in Shopify B2B, Shopify Apps, Shopify Functions & Extensions, and Shopify APIs from a back-end perspective in a headless context (this is not a front-end role)
• Experience and understanding of enterprise integration and the complexities of integrating Shopify, Salesforce, ERP, and DWH in a fast-moving business
• Experience with Salesforce ecosystem and understanding of Apex, Lightning, Flow, Validation rules, Automations, and APIs Skills
• Data savviness: ability to write SQL queries from scratch, and knowledge of data warehouse concepts and tools (i.e. BigQuery, etc.)
• Experience with software development and deployment tools: GitHub, Gearset, Kubernetes, etc.
• Excellent problem-solving, analytical, and communication skills
• Ability to work in a collaborative, fast-paced environment, and the ability to learn and implement new technologies quickly
• Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.

Bonus Points:

• Shopify Verified Skills and Badges (Shopify B2B: Launch and Customization, Shopify B2B: Foundations, Discovery and Solution Design, etc.)
• Salesforce Developer certifications (e.g., Platform Developer I/II), Apex experience.
• Experience with iPaaS middleware or cloud-based integration functions (AWS Lambda/GCP Cloud Functions).
• Ability to effectively leverage AI coding tools
• Familiarity with various ERP, CRM, Marketing Automation, Data Analytics, and Business Intelligence systems and tools.

Our Benefits & Perks:

• Robust equity program to build future wealth through RSUs
• Comprehensive healthcare coverage (Medical, Dental, Vision)
• 401K matching and access to financial advisors
• Generous paid Parental Leave (up to 16 weeks)
• Tenure-based paid Sabbatical Leave (up to 6 weeks)
• Flexible Out of Office Plan – Take time when you need it
• Ample on-site parking & pre-tax commuter benefits
• Healthy on-site lunches, snacks, beverages, & treats
• Regular sponsored professional development opportunities
• Many opt-in culture events across our diverse community
• And of course… unlimited 3D prints

We are an equal opportunity employer and value diversity at our company.  We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.  

Even if you don't check every box, but see yourself contributing, please apply. Help us build an inclusive community that will change the face of 3D printing.

About Formlabs:

Do you want to change how the world creates?

At Formlabs, we’re building the tools that make it possible for anyone to bring their ideas to life, from cutting-edge products to life-saving medical devices. Our 3D printing technology powers innovation at more than 50,000 industry leaders worldwide, including Apple, Google, Tesla, New Balance, and NASA. Together, we’re helping everyone design, prototype, and manufacture faster than ever before.

We’re a team of hands-on builders, engineers, and innovators reinventing how the world makes physical things. If you’re ready to shape the future of fabrication, come build it with us.

Your Impact: 

As a Senior Shopify Engineer at Formlabs, you will play a crucial role in designing, enhancing, and maintaining applications in our digital landscape: eCommerce, CRM, Marketing, and Sales/Service. You will build new features, facilitate new integrations with other business systems, and ensure the performance, stability, and scalability of our digital environment. You will collaborate closely with business stakeholders and peer Systems teams to deliver impactful solutions that support our growth and improve operational efficiency.

This is an exciting opportunity for a motivated digital engineer who can span across multiple platforms and technologies, thrives in a fast-paced, collaborative environment, and is passionate about driving business growth and excellence through technology.

This role is based in our Budapest, Hungary office or in our Somerville, Massachusetts, USA office and is a full-time position.

The Job:

• Architect, develop, configure, and customize the back-end Shopify B2B Commerce platform, including creating/enhancing Shopify Apps, Shopify Functions & Extensions, and Shopify APIs. (This is not a front-end Shopify role.)
• Design and develop complex B2B capabilities that go beyond Shopify B2B’s standard features, both inside and outside Shopify B2B, and with relevant integration capabilities throughout Formlabs digital landscape.
• Partner with the headless front-end teams and provide backend expertise, data, and API endpoints that serve blazing-fast, SEO-optimized user experiences.
• Partner with the Salesforce team to architect and develop key integrations, features, and functions to enable sales and service excellence, through both assisted and self-service capabilities.
• Collaborate and drive enterprise integrations between Shopify, Salesforce, ERP, DWH, and other internal/external systems using APIs and middleware.
• Develop and contribute to various other digital roadmap initiatives, such as marketing automation, AI-driven tools for sales and service, and vendor solutions.
• Utilize modern software development practices to deliver well-documented, clean, efficient code: version/branch control, QA practices, CI/CD, deployment keys, etc.
• Collaborate with stakeholders and technical partners to define and understand requirements and translate to scalable technical solutions.
• Contribute to the strategic direction of Formlabs’ digital landscape.

You:

• 5+ years of professional experience as a full-stack engineer building eCommerce or digital platforms for a B2B business
• Proven proficiency and experience in Shopify B2B, Shopify Apps, Shopify Functions & Extensions, and Shopify APIs from a back-end perspective in a headless context (this is not a front-end role)
• Experience and understanding of enterprise integration and the complexities of integrating Shopify, Salesforce, ERP, and DWH in a fast-moving business
• Experience with Salesforce ecosystem and understanding of Apex, Lightning, Flow, Validation rules, Automations, and APIs Skills
• Data savviness: ability to write SQL queries from scratch, and knowledge of data warehouse concepts and tools (i.e. BigQuery, etc.)
• Experience with software development and deployment tools: GitHub, Gearset, Kubernetes, etc.
• Excellent problem-solving, analytical, and communication skills
• Ability to work in a collaborative, fast-paced environment, and the ability to learn and implement new technologies quickly
• Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.

Bonus Points:

• Shopify Verified Skills and Badges (Shopify B2B: Launch and Customization, Shopify B2B: Foundations, Discovery and Solution Design, etc.)
• Salesforce Developer certifications (e.g., Platform Developer I/II), Apex experience.
• Experience with iPaaS middleware or cloud-based integration functions (AWS Lambda/GCP Cloud Functions).
• Ability to effectively leverage AI coding tools
• Familiarity with various ERP, CRM, Marketing Automation, Data Analytics, and Business Intelligence systems and tools.

Our Benefits & Perks:

• Robust equity program to build future wealth through RSUs
• Comprehensive healthcare coverage (Medical, Dental, Vision)
• 401K matching and access to financial advisors
• Generous paid Parental Leave (up to 16 weeks)
• Tenure-based paid Sabbatical Leave (up to 6 weeks)
• Flexible Out of Office Plan – Take time when you need it
• Ample on-site parking & pre-tax commuter benefits
• Healthy on-site lunches, snacks, beverages, & treats
• Regular sponsored professional development opportunities
• Many opt-in culture events across our diverse community
• And of course… unlimited 3D prints

We are an equal opportunity employer and value diversity at our company.  We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.  

Even if you don't check every box, but see yourself contributing, please apply. Help us build an inclusive community that will change the face of 3D printing.

THE ROLE:

Are you passionate about driving innovation in the cyber resilience space? Are you skilled in crafting technical solutions that exceed customer expectations? If so, we have an exciting opportunity for you! Everpure (formerly Pure Storage), a leader in the data storage and flash technology space, is seeking a talented and motivated Senior Pre-Sales Systems Engineer within a Pod model for an emerging business positioned for high growth

As a Senior Pre-Sales Systems Engineer, you will play a crucial role in understanding our customers' unique challenges and tailoring solutions to meet their specific needs. Collaborating closely with the sales team, you will act as a technical expert during the sales process, helping to showcase the value of our products and services.

WHAT YOU’LL DO:

• Develop an exhaustive understanding of what drives a customer’s business and what motivates their decision making
• Delight customers and teammates with your technical leadership and domain expertise in Disaster Recovery and Cyber Resilience, storage products, and competitive offerings in the DR and Cyber Resilience product spaces
• Connect the dots from technology solutions, inclusive of the Everpure portfolio and others from the ecosystem, to measurable customer business outcomes
• Partner closely with account managers, specialists and channel partners to create a seamless and holistic customer experience and strategy to drive revenue growth and net new business
• Take control of evaluations, benchmarks and system configurations
• Build and deliver technical product and architecture presentations with vigor to customers and lock in the technical win with clients and prospective accounts
• Capture requirements and translate Customer’s business needs into innovative solutions to accelerate their growth and capacity
• Seek out and spur new opportunities for interoperability, functional, and performance testing/validation
• Promote mutual roadmap and planning exchanges
• Liaise with product and technical marketing to produce materials (i.e. whitepaper, web presentations) that support overall alliance plans and objectives
• Stay current with the competition and ensure that materials accurately reflect the latest, differentiated solution positioning
• Move with market trends and competitive landscape to promote thought leadership within our organization
• Lead by example living the Everpure Values:  Persistence, Creativity, Teamwork, Ownership and Customer-first  

WHAT YOU BRING:

• Pre-sales experience is required
• 5 or more years of relevant experience, mixed among technology, design, and communications required. Experience supporting the sales of enterprise software, SaaS, storage, or cloud to enterprise accounts preferred
• Deep understanding of the architecture, design and implementation of multi-tiered Cyber Resilience and Disaster Recovery solutions
• Prior experience in targeting new prospects and converting them into clients
• Contribute significant portions and/or lead responses to RFPs, RFQs and RFIs
• Working knowledge of applications relevant for DR/Cyber Recovery including Active Directory, DNS, Layer 2/3 networking
• Working knowledge of VMware (vCenter, ESX, virtualized storage and networking)
• Working knowledge of AWS (EC2, EBS), Azure, GCP, containers, k8s and microservices architectures a plus
• Strong focus on understanding how to speed up PoCs to move pipeline opportunities from validation to late-stage/deal close
• Curiosity and passion around technology and explaining and showing new technology platforms and concepts to customers
• Excellent verbal and written interpersonal skills

{INCLUDE ONE OF THE BELOW FOR POSTING LOCATION IDENTIFICATION}

#LI-REMOTE

ABOUT THE TEAM

Anduril's Detection and Response team is looking for a Security Operations Analyst to be the watchtower for Anduril's critical defense technologies. As a SecOps Analyst on the detection and response team, you'll be responsible for monitoring and responding to adversarial activity while helping incorporate key detection feedback loops with the detection engineering team. As a Senior SecOps Analyst, you will serve as an incident commander alongside other senior analysts. When not responding to threats, you'll be asking questions of our data sets, conducting threat hunting and data normalization operations across the organization to understand user behavior and identify anomalies. 

WHAT YOU'LL DO

• Triage and respond to alerts / incidents covering multiple disciplines including, but not limited to, phishing, endpoints, cloud infrastructure and services, and SaaS applications
• Build and optimize tailored detection signatures, response playbooks, and response automation using detection-as-code principles
• As the frontline of DNR, you will lead the feedback loop for detections, ensuring alerts are fine tuned to reduce false positives
• Participate in threat modeling scenarios with cross-functional partners to understand weaknesses across Cloud, Mobile, Endpoints, and other environments incorporating findings into security controls and/or detection signatures
• Organize and conduct threat hunting and data baselines to identify anomalous patterns in data
• Participate in an on-call rotation responding to security events and conducting incident response investigations while effectively communicating findings to key stakeholders. As a Senior SecOps Analyst, you will serve as an incident commander as necessary.
• Proactively collaborate with a wide range of stakeholders, guiding detection and response maturity of key worlds, leading incidents and large-scale data baselines, and being responsible with mentoring and guiding junior analysts.

REQUIRED QUALIFICATIONS

• Experience in security monitoring, log analysis, and detection engineering within large data sets across endpoint, network, and a wide variety of application log sources
• Experience in Python development, specifically contributing to a shared codebase used for automating SOC operations
• Must have experience with one or more SIEM languages (SPL, KQL, SQL)
• Experience conducting analysis in a data lake environment
• Broad range of practical security knowledge across the spectrum of endpoint, network, identity, application, and cloud infrastructure
• Knowledge of attacker tactics, techniques, and procedures (TTPs) across Windows, Linux, MacOS, AWS/Azure, etc.
• Strong communication skills and experience collaborating with internal and external stakeholders
• Must be able to obtain and hold a U.S. Top Secret security clearance

PREFERRED QUALIFICATIONS

• Experience conducting incident response in the Cloud (AWS, Azure, GCP)
• Digital Forensics and/or reverse engineering experience is a plus!

Mission Summary:

As a Staff Engineer within the Platform Engineering team, you will be a hands-on technical leader driving the evolution of Motional's global cloud and hybrid infrastructure. Operating as a senior individual contributor, you'll tackle our hardest platform problems directly — designing systems, creating code, and setting technical direction for initiatives that span multiple teams. Your work will help transform our R&D environment into a hardened, cost-efficient, and scalable commercial backbone, and ensure our internal platforms deliver the developer velocity required for rapid AV deployment.

What you'll be doing:

• Design and build major components of our cloud architecture — including networking, storage, compute abstraction layers. You'll own the technical design end-to-end and create code where it matters most
• Drive technical evolution of our Kubernetes-based developer platform. Identify the highest-leverage improvements to scalability, cost attribution, access control, and developer ergonomics — then design and implement them to reduce configuration complexity and accelerate engineering velocity
• Raise the reliability bar across Platform Engineering. Define and implement standards for SLIs, SLOs, observability, and failover, and partner with peer teams to roll them out across platform-layer services
• Drive FinOps practices — cost visibility, attribution, accountability as well as optimization recommendations
• Design and ship AI-native developer experiences by integrating LLM-powered tooling into CI, build systems, monitoring platforms, and local development workflows to remove friction and boost engineering throughput
  
  

What we're looking for:

• Bachelor's or Master's in Computer Science, Engineering, or a related field (or equivalent practical experience)
• 9 years in Software or Infrastructure Engineering, with significant experience in a senior IC capacity
• Deep, expert-level knowledge of Kubernetes internals and ecosystem (Operators (Crossplane, ArgoWorkflow/Airflow, KubeRay), Kubecost/OpenCost, Service Mesh, GitOps and other CNCF projects)
• Proven track record of designing or migrating complex workloads between on-prem data centers and major cloud providers (AWS, GCP, other)
• Experience with Infrastructure-as-Code (Terraform/CloudFormation, Terraform Cloud/Spacelift/Atlantis) and advanced observability tooling (OpenTelemetry, Prometheus/VictoriaMetrics, Grafana, Datadog)
• Expert in architecting AI-driven operations, leveraging LLMs and agentic workflows to automate incident response, predictive scaling, and intelligent system observability
• Demonstrated ability to influence technical roadmaps across an entire engineering organization and mentor senior technical staff
  
  

Bonus points (not required):

• Proven expertise in CI/CD orchestration, build systems (Bazel, RBE), frameworks
• Prior experience with large-scale machine learning training pipelines
• Experience leading technical projects in a globally distributed team
• Open-source contributions to Kubernetes, observability, or infrastructure tooling ecosystems

Here at ZoomInfo, we encourage creativity, value innovation, demand teamwork, expect accountability and cherish results. If you are a take charge, take initiative, get stuff done individual, we want to talk to you! We have high aspirations for the company and are looking for the right people to help fulfill the dream. We strive to continually improve every aspect of the company and use cutting-edge technologies and processes to delight our customers and rapidly increase revenues.

About the Role

This is a rare opportunity to architect and own ZoomInfo's global Solutions Partner Program from the ground up. As the founding voice of this program, you'll shape how ZoomInfo's consulting and implementation partners deliver, scale, and succeed — directly influencing customer outcomes worldwide.

This is a high-impact individual contributor role with significant visibility and cross-functional influence across ZoomInfo's Partner, Sales, Services, and Executive teams. Reporting to the Sr. AVP of Partnerships, you will work closely with ZoomInfo's Solutions Team to ensure the program is built in alignment with ZoomInfo's overall partner strategy.

If you're a self-starter who thrives on building structure where none exists and wants to make a measurable impact on how ZoomInfo's partners succeed globally — we'd love to hear from you.

What You’ll Do:

• Buld and own ZoomInfo's global Solutions Partner Program, recruiting new partners and establishing the frameworks that drive partner-led implementation quality and customer adoption
• Elevate partners' technical competency and mature their ZoomInfo services practice through structured enablement and repeatable delivery frameworks
• Contribute actively to the evolution of ZoomInfo's broader partner program and go-to-market strategy
• Collect qualitative and quantitative data to measure and report on individual partner performance, ensuring a high standard of implementation quality across top partners
• Drive partner business planning, QBRs, and performance assessments to maintain strategic alignment and accountability
• Own and manage partner interactions across ZoomInfo's internal teams — including Marketing, Product, Pre-Sales, Sales, Services, Enablement, Customer Success, Partner Operations, and Executive Leadership
• Work with the partner team, delivery, and account teams to ensure the proper program elements, resources, and processes are in place to support solutions partners' success
• Serve as a trusted advisor and player/coach to ZoomInfo's solutions partners as the program scales
• Maintain accurate partner records and CRM hygiene across Salesforce and internal tools to ensure operational excellence
• Support partners and internal stakeholders with ad-hoc requests as needed, including legal agreement support, webinars, and collateral development

Core systems and tools: Salesforce, Jira, Confluence, GSuite, Netsuite, Snowflake, GCP, AWS, and additional tools within these ecosystems

What you Bring:

• 5–8 years of experience working with and managing solutions partners in a SaaS environment
• Experience building or scaling a partner program, enablement curriculum, or implementation methodology from an early stage
• Demonstrated success driving partner-sourced or partner-influenced revenue growth
• Existing SI partner relationships and an established network within the ecosystem
• Strong strategic business and marketing planning capabilities
• Excellent interpersonal skills with a proven ability to build positive relationships and influence outcomes through partners
• Proven ability to work cross-functionally across Sales, Services, Product, and Executive stakeholders
• Self-motivated with strong self-management skills and demonstrated leadership qualities as an individual contributor
• Familiarity with SaaS go-to-market motions and the partner ecosystems that support them

What Working at ZoomInfo Brings You:

• Build something that matters: define a program with global reach and lasting impact on how ZoomInfo's partners succeed
• Visibility and influence: Direct access to executive leadership and cross-functional strategy at a market-leading SaaS company
• A culture that is independently driven with a strong team mentality, where your work is recognized and valued
• Competitive compensation and benefits, including a comprehensive package designed to reward high performers
• A clear path to expand your scope and influence within the Partnerships organization as the program scales

About us: 

Built over 20 years ago, ZoomInfo Powered by DiscoverOrg has become the go-to-market standard for over 13,500 companies worldwide. Designed to be the single source of truth, the ZoomInfo platform offers best-in-class technology paired with unrivaled data coverage, accuracy, and depth of contacts, companies, and opportunities essential to empower sales, marketing and recruiting professionals to hit their numbers. Deeply embedded into business workflows and technology stacks-- including integrations with the leading CRM, Sales Engagement, Marketing Automation, and Talent Management applications - ZoomInfo is capable of delivering more predictable, accelerated, and sustainable growth than any stand-alone solution. ZoomInfo’s investors include TA Associates, The Carlyle Group and 22C Capital.

For more information about our leading marketing and sales intelligence solution, visit www.zoominfo.com.

All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, religion, gender, national origin, disability and protected veterans status or any other personal characteristic protected by law

#LI-EB1

#LI-Hybrid

ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen–fast.

As a Senior Software Engineer on the API & MCP Platform team, you'll be at the forefront of building and scaling ZoomInfo's API infrastructure that handles millions of API calls weekly and powers integrations across our platform. You'll work with Java and NestJS to develop robust, secure, and high-performance API services that enable seamless connectivity for our customers and partners.

You'll design and implement scalable API architectures, establish best practices for API security and authentication, and build infrastructure that enables partners and customers to leverage ZoomInfo's data at scale. Your expertise in API design, OAuth 2.0, and emerging technologies like Model Context Protocol (MCP) will be essential in creating world-class developer experiences.

Our engineering culture values diversity, intellectual curiosity, problem-solving, and openness. We encourage collaboration, big thinking, and calculated risk-taking in a blame-free environment. You'll have the autonomy to work on meaningful projects while receiving the support and mentorship needed to grow your career.

What you will do :

• Design, develop, and maintain scalable RESTful APIs using Java and NestJS framework
• Build APIs that power company and contact data enrichment, search, and intelligence capabilities
• Architect and implement secure authentication and authorization systems using OAuth 2.0
• Build high-performance API gateways with advanced rate limiting, throttling, and quota management
• Design and implement MCP (Model Context Protocol) tools and servers to enable AI-powered integrations
• Establish and enforce API design standards, versioning strategies, and best practices across the organization
• Optimize API performance, caching strategies, and response times for high-volume traffic (millions of calls daily)
• Design and implement comprehensive API documentation, SDKs, and developer tools
• Create MCP tool schemas, implement prompt best practices, and optimize tool discovery patterns
• Collaborate with product and integration teams to define API contracts and service-level agreements (SLAs)
• Implement monitoring, logging, and analytics for API usage patterns and performance metrics
• Participate in code reviews and mentor team members on API and MCP best practices
• Troubleshoot and resolve production issues in distributed API systems
• Contribute to technical architecture decisions for API platform evolution. 

What you bring:

• Bachelor's degree in Computer Science, a related field, or equivalent practical experience
• 5+ years of experience in software development with strong focus on API development
• 3+ years of experience designing and implementing RESTful APIs and microservices at scale
• Strong expertise in Java frameworks (Spring Boot, Spring Security, Maven/Gradle)
• Strong expertise in NestJS framework
• Deep understanding of OAuth 2.0, OpenID Connect, JWT, and API security best practices
• Experience with API gateway technologies 
• Proficiency with API design patterns, versioning, and documentation (OpenAPI/Swagger)
• Strong knowledge of rate limiting, throttling, and API scalability strategies
• Understanding of distributed systems and high-availability architectures
• Experience with MCP (Model Context Protocol) tool creation and implementation. 

Preferred Qualifications:

• Experience releasing production MCP tools and servers
• Deep knowledge of MCP best practices, prompt engineering, and tool design patterns
• Familiarity with AI/LLM integration patterns and context management
• Experience with cloud platforms (AWS, GCP, or Azure)
• Knowledge of containerization and orchestration (Docker, Kubernetes)
• Experience with CI/CD pipelines and automated API testing
• Familiarity with message queuing systems (Kafka, RabbitMQ)
• Experience building developer portals and API documentation platforms
• Background in platform engineering or developer experience (DX) initiatives
• Active contributions to open-source API projects or MCP tool repositories

#LI-SK1

#LI-Hybrid

Datadog is seeking a motivated and experienced Security Sales Engineer to join our dynamic enterprise sales engineering team. In this role, you will play a critical part in driving our security sales efforts by providing technical expertise and delivering compelling solutions to our customers. You will work closely with our enterprise sales engineers and sales team to identify customer needs, craft go to market strategy, demonstrate the value of Datadog's security solutions, and ensure customer satisfaction.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What you will do:

• Support the Enterprise Security Sales team in driving adoption of Datadog’s security offering within target strategic accounts. 
• Collaborate with the broader sales team to identify and understand security requirements across Datadog’s Enterprise customer base. 
• Conduct detailed product demonstrations and presentations, showcasing the capabilities and benefits of Datadog's security solutions.
• Provide technical expertise and support throughout the sales cycle, including during customer evaluations and proof-of-value initiatives.
• Develop and maintain a deep understanding of Datadog's security products, industry trends and current vulnerabilities, staying updated with the latest features and enhancements.
• Assist in the creation of technical proposals, documentation, and other sales materials.
• Work closely with the product management and engineering teams to relay customer feedback and influence product development.
• Participate in industry events, conferences, and webinars to promote Datadog's security solutions..

Who You Are:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Deep experience with SIEM platforms and detection pipelines, SOC workflows (alert triage, investigation, response), endpoint security (EDR/MDR), and the deployment and tuning of security controls in live customer environments.
• Expert knowledge of the developer and DevOps ecosystems and application security best practices. 
• Strong understanding of security principles and best practices.
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and related security tools and technologies.
• Excellent presentation and communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
• Strong problem-solving skills and the ability to think critically and creatively.
• Willingness to travel up to 30% to meet with customers and attend industry events.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Remote

The Senior Partner Program Manager will play a strategic role in the Zoominfo Partnerships Organization responsible for design, delivery, and execution of programs that will create a best-in-class partner ecosystem aligned to Zoominfo goals and objectives. The Senior Partner Program Manager is responsible for building and supporting multiple partner programs, such as Channel Sales, Technology, and Solutions, as we rapidly scale our Partner Ecosystem. We are looking for a self-starter who is comfortable dealing with ambiguity and has an entrepreneurial drive but can operate as part of a larger team and business. You are comfortable making recommendations based on data analysis and anecdotal feedback and willing to experiment with new ideas. You have a proven track record in taking on end-to-end ownership while working collaboratively with multiple stakeholders and successfully delivering results in a fast-paced and dynamic business environment. This role will report to the SVP of Partnerships to ensure the partner programs align with ZoomInfo’s overall corporate strategy.

What You’ll Do:

• Work with sales leadership and partnerships management, delivery and account teams to ensure the proper program elements, resources, and processes are put in place to support partner program success.
• Lead program management of high-visibility strategic programs, which includes designing a decision framework, executing strategy, and building a roadmap 
• Work collaboratively with Partners and internal ZoomInfo teams to develop repeatable frameworks 
• Play an active role in contributing to the evolution of ZoomInfo’s overall partner program and strategy
• Play a key role in partner recruitment and selection, engaging with strategic partners to ensure alignment and fast time-to-value.
• Help define goals/metrics to measure the success of our program
• Analyze key metrics, identify gaps, and create plans to mitigate and drive closure
• Collaborate with cross-functional teams taking responsibility for driving alignment and delivery
• Handle administrative functions related to Partner Programs, ensuring internal tools are updated, and sales hygiene is maintained
• Support Partners and internal stakeholders’ ad-hoc requests and jump in where needed (eg, legal agreement support, operations support, collateral building, etc.)

Core systems and tools you may be working with: Salesforce, Jira, Confluence, GSuite, Netsuite, Snowflake, GCP, AWS, plus multiple other peripheral software tools in these ecosystems.

What You Bring:

• 5+ years of Partner Program management experience
• Experience using data and metrics to determine and drive improvements
• Experience owning program strategy, end-to-end delivery, and communicating results to senior leadership
• Excellent interpersonal skills and a confirmed capacity to build positive relationships, manage partners to defined goals and objectives, and close business with partners
• Proven ability to work cross-functionally
• Must be self-motivated, have strong self-management skills and should demonstrate basic leadership qualities

Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process.

We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here.

#LI-EB1

#LI-Hybrid

Shopmonkey's vision is to help every shop thrive by equipping them with the tools they need to run and grow their business. Our cloud based all-in-one shop management software takes owners and technicians from quote to cashing out a satisfied customer. Our software has a modern and intuitive UI and our backend is powered by the latest technologies so our clients can focus on the things they do best. As a Senior ML Engineer at Shopmonkey, you will be a part of a globally distributed engineering team working closely with your product and design counterparts. You will have the chance to work on the frontier of ML modeling, data pipelines, MLOps, and agentic AI systems to meet real-world auto shop needs. Shopmonkey has the structured data, workflows, and operational maturity to deliver ML powered systems that are not only intelligent but trusted and useful. You’ll move fast to bring ML systems from discovery all the way through production, helping to shape the future of the automotive care experience. For any Bay area based candidates, this would be hybrid with 2-3 days/week office at our Morgan Hill, CA office for collaboration. 

What you will do:

• Design, build, and ship production-ready ML models across a range of problem spaces: regression, classification, clustering, ranking, and recommendation systems.
• Conduct end-to-end development of ML systems: data gathering, experimentation, feature engineering, model training, evaluation, deployment, and monitoring.
• Define and track model performance metrics, run A/B tests, and iterate based on real-world feedback.
• Help design and implement shared feature stores so that reusable features can serve multiple models consistently in both batch and real-time contexts.
• Work within a modern MLOps environment to ensure scalable and reliable deployment of models.
• Contribute to training infrastructure, model versioning, and CI/CD pipelines for ML workflows.
• Work closely with data scientists and data engineers to develop data driven solutions that are high impact for businesses.
• Translate complex ML workflows into digestible updates for cross-functional stakeholders.
• Contribute to backlog velocity by owning appropriate tickets and delivering high-impact work in a collaborative, fast-paced environment.
• Implement NLP and LLM-powered components for sentiment analysis, real-time conversation evaluation, and behavior optimization.
• Contribute to analytics and predictive features such as no-show prediction and sentiment dashboards.
• Help build and ship AI agents that help automate key auto-shop business processes.

We are looking for people who have:

• Minimum of 5+ years of industry experience in applied machine learning; advanced degrees (Master’s or PhD) may offset years of experience.
• Proven experience shipping models into production (not just proof-of-concepts or notebooks).
• Proficiency in Python; experience with ML frameworks like PyTorch or Tensorflow.
• Strong foundations in classical ML/DL. Including some of the following: regression, classification, clustering, ranking, feature engineering, model evaluation, and experimentation.
• Bachelor’s degree in a STEM field, or equivalent practical experience.
• Strong collaboration and communication skills—comfortable working with PMs, designers, engineers and other cross functional team members.

Nice to have:

Candidates should have some experience in one or more of the following areas.

• Understanding of MLOps principles: model versioning, orchestration, evaluation, monitoring, model serving, and CI/CD for ML. 
• Understanding of MLOps, and experience with modern tooling like MLFlow, DVC, Airflow, etc.
• Experience with LLMs and NLP frameworks (e.g., TensorFlow, Hugging Face, LangChain).
• Experience with/interest in LLM workflows and agentic workflows
• Cloud infrastructure experience, (e.g. GCP, AWS).
• Familiarity with vector databases (e.g. Pinecone, pgvector) and embedding-based retrieval or similarity search.
• Strong SQL skills for working with large-scale data.
• Experience designing or contributing to feature stores (e.g. Feast, VertexAI Feature Store, Tecton) for shared, reusable feature pipelines.

Bonus Points:

• Prior experience working at a high growth startup.
• Experience building consumer-facing agents in vertical SaaS, in the automotive industry (business or consumers).
• Background in data processing or real-time analytics.
• Experience with Snowflake or other large-scale data warehouse solutions.

In the United States, the range is typically a salary of $165,000 to $200,000 + bonus + equity + benefits. The range provided is Shopmonkey’s reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. In addition to this base compensation company stock options and benefits as outlined below are included.

We are looking for a Senior Clinical Data Engineer to join our Research Operations team, which drives the end-to-end execution of studies that drive new feature development and validation. You’ll manage the data that forms the foundation of our clinical trials—ensuring that data pipelines are fast, transparent, and comply with all applicable regulations. 

In this role, you’ll work at the frontier of R&D health sensing and gain hands-on experience with every part of the clinical database lifecycle: from design and validation through database lock and archival. Working closely with our regulatory, software, and science teams, you’ll raise the bar for how Oura runs clinical studies. 

This is a remote US role with a preference for candidates based on the East coast.

We have offices in San Francisco, San Diego and Los Angeles for those who prefer hybrid or office settings. Oura employees in other major cities (like Boston and New York) occasionally gather informally at local co-working locations.

What You’ll Do:

• Oversee the clinical data lifecycle for a portfolio of studies: ensuring timelines and data integrity are maintained.
• Work closely with research project managers, algorithm developers, data engineers, and external vendors to align data management activities with broader trial objectives.
• Identify data-related risks and implement mitigation strategies, while driving process improvements and adopting emerging technologies as needed.
• Lead data quality management, query analysis, optimization, deduplication, auditing, and validation of regulated data ecosystems.
• Develop and oversee the design of Case Report Forms (CRFs) and electronic data capture (EDC) systems to ensure accurate, complete, and protocol-compliant data collection.
• Build the Clinical Data Repository that will form the backbone of all research and regulatory work at Oura

We would love to have you on our team if you have:

• 7+ years of industry experience with clinical data management
• Fluency with regulations such as ICH GCP, 21 CFR Part 11, and standards such as CDISC (SDTM/ADaM)
• Proficiency in an industry-standard EDC system (e.g. Medidata Rave, Castor, REDCap) and data engineering tools (e.g. AWS S3, Glue, Athena; Databricks; Dagster; dbt)
• Experience bridging clinical data management and research with enterprise practices and standards
• Comfort with building dashboards using tools like Tableau or Databricks
• Flexibility with scheduling to enable calls with global collaborators

Benefits 

At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.

What we offer:

• Competitive salary and equity packages
• Health, dental, vision insurance, and mental health resources
• An Oura Ring of your own plus employee discounts for friends & family
• 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
• Paid sick leave and parental leave

Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.

• Region 1 $172,550 - $203,000
• Region 2 $158,950 - $187,000
• Region 3 $147,900 - $174,000

A recruiter can determine your zones/tiers based on your US location.

We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI)

Are you looking to combine your passion for technology with your penchant for strategic problem solving? Appian Customer success is obsessed with great customer outcomes. We deliver mission-critical business impact fast and are directly responsible for partnering with our customers to bring their best ideas to life. Joining the Customer Success team provides you with the support and growth you need to strengthen and evolve your consulting skills while driving next-generation, AI-powered digital transformations..

We are seeking a Technical Implementation Consultant to join our Customer Success team. In this role, you will be engaging with our customers post-sales to develop software solutions on the Appian platform. These applications help companies drive digital transformation and competitive differentiation. Your primary responsibility will be to work throughout the entire project life-cycle to define, design, develop and implement custom software and AI solutions using Appian’s platform for our commercial clients. This includes working within an agile environment to understand our client’s business processes and technical needs, launch new relational data models in production, and developing APIs to integrate with multiple systems. You’ll brainstorm AI use cases and implement  Appian’s AI tools by applying retrieval augment generation (RAG), agentic workflows, prompt engineering and the latest generative models as a part of transforming how customers run their organization. You will also collaborate with client’s technical teams and business users as needed throughout the entire software and development life cycle and drive adoption by empowering clients to become self-sufficient with building process applications on their own.

To be successful in this role, you need:

• The ability to work with clients to define business processes and gather functional and technical system requirements
• Excellent communication skills, passion for technology and continuous learning, and an affinity for asking “why” and solving the right problems
• History of success on cross-functional teams; experience building products using agile methodologies (pair programming, stand-ups, planning sessions, and sprints)
• Knowledge of software testing practices (test-driven development, automated test suites within a continuous integration framework); integrations experience using APIs such as REST and SOAP, JDBC connections, and web services; familiarity with Amazon Web Services (AWS), Artificial Intelligence (AI), Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic Containers (preferred)

Basic qualifications:

• 1+ years of experience with hands-on software development or technical consulting
• Experience with object oriented programming, experience working with relational databases and database design/data modeling, and SQL skills (writing queries, joins, views, etc)
• B.S./B.A. in Engineering, Computer Science, Information Systems, Mathematics or related field/degree
• Willingness to travel; 20% to support customer engagement

#LI-KC1

The base salary for this role is between $75,000-$125,000 per year and represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate’s relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance.

In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. 

Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans.

About the Role >>> Associate Director, GCP Quality Assurance   

As the Associate Director, GCP Quality Assurance, reporting to the Senior Director GCP Quality Assurance, you will be partnering with Clinical Development/Operations, Pharmacovigilance and Safety in cross-functional study teams to drive GCP/GVP compliance. This will include identifying and communicating clinical trial-related risks and opportunities for process improvement, as well as reviewing / approving study-related documents and plans and supporting audits.  

This hybrid role is based out of either our San Francisco, CA or Cambridge, MA office and requires up to 20% travel. 

Your work will primarily encompass: 

• Performs internal and external audits as assigned to ensure compliance with GCP/GVP regulations and guidelines 
• Provide GCP/GVP auditing activities, including audit preparation, execution, report preparation, and follow-up to any findings/observations, including corrective and preventive actions (CAPAs), communicate audit results to internal stakeholders  
• Partner with QA leadership during regulatory authority inspections and drive  GxP inspection readiness activities 
• Oversees quality aspects related to clinical study start-up, execution, and close-out by providing leadership, guidance, and direction to staff consistent with GCP/GVP 
• Prepare for health authority inspections, suppliers and or clinical sites 
• Oversee clinical compliance and quality within the context of cross-functional study teams 
• Continue to improve/refine Olema’s risk-based GCP compliance approach globally 
• Manage Quality Management System (QMS) including, but not be limited to, the following activities: QA review/approval of deviations, CAPAs and change controls 
• Draft, review, and approve policies, procedures, and work instructions 

Ideal Candidate Profile >>> Key Requirements 

A love of challenging, important work. We are a pragmatic team, driven to imagine and develop meaningful therapies for improving lives. All employees within our company play a unique and crucial role in our success, both in accomplishing our mission and building a positive company culture. As such, we are looking for someone with the right combination of knowledge, experience, and attributes for this role. 

Knowledge: 

• Bachelor’s Degree or higher in a scientific discipline 
• Strong understanding of clinical trials and pharmacovigilance reporting  
• In-depth knowledge of and ability to interpret and apply GCP, EU, FDA, and ICH regulations and guidelines 
• Understanding of industry quality management tools, quality systems (e.g., QMS, eTMF, EMRs, EDC, etc.) 

Experience: 

• A minimum of 8 years of relevant experience in Quality Assurance or related role in a pharmaceutical, biotechnology, or related environment 
• Demonstrated experience leading and/or conducting internal and external QA audits developing and executing risk-based audit plans 
• Demonstrated ability to develop and foster positive, collaborative relationships with internal staff as well as with external, third-party vendors 
• Hands-on experience with regulatory inspections and inspection readiness activities 
• Experience writing and reviewing SOPs 
• Experience using QMS (Veeva systems preferred) 
• Knowledge and experience in Good Clinical Practice (GCP), Good Pharmacovigilance Practice (GVP) regulations. In addition, preferred Good Laboratory Practice (GLP) experience 
• Ability to interpret and apply GCP, EU, FDA, and ICH regulations and guidelines 

Attributes: 

• Excellent verbal and written communication skills 
• Ability to work independently and collaboratively, as required, in a fast-paced, matrixed, team environment consisting of internal and external team members 
• Analytical thinker with excellent problem-solving skills and the ability to adapt to changing priorities and deadlines 
• Excellent planning, organization, and time management skills including the ability to support and prioritize multiple projects 
• Ability to work hands-on and be a strong individual contributor 

The base pay range for this position is expected to be $190,000 - $205,000 annually, however the base pay offered may vary depending on location, market, job related knowledge, skills and capabilities, and experience. The total compensation package for this position also includes equity, bonus, and benefits. 

#LI-CK1

We're looking for a Software Engineer III to join the Contributory Network team within Data Acquisition - one of ZoomInfo's most strategically important initiatives.

The Contributory Network is building the infrastructure that powers a new generation of intelligence products by ingesting, transforming, and processing first-party data contributed by thousands of customers through their CRM, email, and recording provider integrations.

In this role, you'll build the data pipelines that ingest and transform massive volumes of contributed data, as well as contribute to front-end experiences that give internal teams and customers visibility into the platform. You'll work across the full stack, with a strong emphasis on backend data engineering and a meaningful front-end component.

What You'll Do

• Design and build data pipelines that ingest, validate, and transform first-party data from customer integrations (CRM systems, email providers, recording platforms)
• Develop and maintain ETL/ELT workflows for processing contributed contact information, opportunity metadata, and engagement signals at scale
• Build and enhance front-end interfaces for monitoring, configuration, and data quality dashboards using Angular
• Work with streaming and batch processing technologies to handle real-time and scheduled data flows
• Collaborate closely with product managers to translate business requirements into technical solutions
• Ensure data quality and integrity across the pipeline - from ingestion through enrichment and delivery
• Contribute to observability and monitoring for pipeline health, throughput, and error rates
• Partner with cross-functional teams (Data Quality, Platform, Product) to deliver impactful features

Must-Have Qualifications

Data Engineering

• 3+ years of professional software engineering experience
• Solid experience building and operating data pipelines (ETL/ELT) at scale
• Proficiency in Java
• Experience with data processing frameworks such as Apache Beam, Apache Airflow or Spark
• Hands-on experience with streaming technologies (Kafka, Pub/Sub, or similar)
• Familiarity with cloud platforms, preferably GCP (BigQuery, GKE, Dataflow/DataProc)
• Understanding of data modeling, schema design, and data quality practices

Front-End Development

• Working experience with modern front-end frameworks, ideally Angular
• Ability to build functional, clean UIs for internal tools, dashboards, and configuration screens
• Comfortable working with REST APIs and integrating front-end with backend services

General

• Bachelor's degree in Computer Science, Software Engineering, or a related field
• Strong problem-solving skills and attention to detail
• Ability to find the right balance between perfection and getting the job done
• Effective communicator who works well in a collaborative, cross-functional environment

Nice to Have

• Experience with Kubernetes (GKE/EKS) for distributed workloads
• Familiarity with Snowflake, BigQuery, or similar cloud data warehouses
• Experience with Terraform or infrastructure-as-code tools
• Exposure to data integration patterns involving CRM systems or email/calendar APIs
• Experience in a B2B data company or data-as-a-product environment

Why This Role Matters

The Contributory Network is a cornerstone of ZoomInfo's long-term strategy. By building the data infrastructure that processes first-party contributions from thousands of companies, you'll directly power intelligence products - from competitive benchmarking to buyer committee insights to market timing signals - that no other source in the world can offer.

You'll be joining at a pivotal moment: the initiative is high-visibility, the team is growing, and the opportunity to shape how contributory data flows through ZoomInfo is yours to build.

#LI-AR2

#LI-HYBRID

What You’ll Do:

Reporting to the Senior Medical Director, Global Patient Safety and Pharmacovigilance (DSPV), the Medical Director will provide strategic, scientific, and tactical leadership for global medical safety evaluation and benefit-risk management for assigned Kailera products throughout their lifecycle with focus on patient well-being and compliance with applicable regulatory requirements.

This role is instrumental in ensuring patient safety, regulatory compliance, and robust characterization of benefit-risk in both clinical development and real-world use, including shaping risk-management strategies, integrated evidence generation planning, and real-world evidence approaches. 

The medical director will collaborate extensively across and within their own function to advance Kailera’s pharmacovigilance strategy to support the company’s evolving pipeline, innovation, and mission. 

Required location: Waltham, MA (hub-based, onsite 3-4 days per week)

Responsibilities:

• Provide expert medical interpretation of safety data from all sources (clinical, post-marketing, literature, and RWE) and perform medical review of Individual Case Safety Reports (ICSR) within the ARGUS database
• Oversee and execute safety signal detection and evaluation activities, ensuring timely, scientifically sound assessments and the optimization of signaling systems through data visualization and analysis tools
• Incorporate insights from real-world data (EHRs, claims, registries) into surveillance and benefit-risk assessments to support evidence-generation strategies
• Lead the development and oversight of global benefit-risk assessments and safety surveillance for clinical development programs and post-marketing phases
• Drive the lifecycle management of Risk Management Plans (RMPs) and other risk minimization strategies, ensuring proactive identification and mitigation of safety risks
• Lead the authoring and medical review of safety sections for regulatory documents (IBs, Protocols, DSURs, PSUR/PBRERs, and RMPs) and safety modules for marketing applications
• Support labeling decisions and contribute medical expertise to safety communications, risk materials, and scientific publications
• Collaborate with cross-functional stakeholders to integrate safety considerations into clinical development, post-marketing activities, and evidence-generation strategies
• Lead and inspire a team of PSPV MDs, scientists, and operational colleagues, fostering a culture of accountability, scientific excellence, and collaboration
• Partner with senior leadership (SVP/Medical Director) on departmental goals, organizational design, budgeting, and long-term pharmacovigilance planning
• Act as a Subject Matter Expert (SME) for safety technology strategies, identifying innovative technical or resourcing solutions to improve DSPV surveillance capabilities
• Contribute to the design, implementation, and enhancement of drug safety processes and systems to ensure high-performance PV operations
• Maintain the medical safety governance framework, ensuring the timely identification, assessment, and escalation of significant safety issues
• Represent the PSPV function during audits and inspections, leading the preparation of responses and managing deviations or CAPAs related to medical safety science.
• Drive the development of SOPs, work instructions, and "fit-to-purpose" pharmacovigilance training for internal and external partners

Required Qualifications:

• 8+ years of experience in global pharmacovigilance
• 2+ years of experience in clinical practice or academic medicine
• Proven experience in safety data analysis, signal management, and benefit-risk evaluation
• Working knowledge of safety databases (Argus, ArisG/LifeSphere Safety, or similar)
• Demonstrated ability to develop and implement drug safety strategies, risk management plans, and safety governance models
• Proven experience with authoring or contributing to clinical study and regulatory submission documents
• Thorough knowledge of relevant FDA and International Conference on Harmonization (ICH) guidelines, including Good Clinical Practices (GCP) guidelines
• Strong knowledge of global safety and pharmacovigilance regulations, guidelines, and industry standards (FDA, EMA, ICH, GVP)
• Experience in creating or managing working documents such as SOPs or Work Instructions
• Strong ability to proactively identify risks and initiate/manage risk minimization activities
• Strong ability to lead in a cross functional setting and work collaboratively with internal and external partners in a fast-paced environment
• Strong ability to prioritize, multitask, and deliver quality results that meet tight timelines
• Ability to influence and keep teams focused and motivated
• Strong ability to communicate complex issues clearly

Preferred Qualifications:

• Experience in pharmacoepidemiology, data science, or medical affairs is a plus

Education:

• MD, DO or equivalent medical degree required. Ph.D. degree is a plus

Job Title: Executive Medical Director, Clinical Development         

Location: Remote OR Hybrid 3 days/week if located near office in either Waltham, MA or Menlo Park, CA will be required.          .          

Role Overview: The Executive Medical Director of Clinical Development plays a key role in leading the design, execution, and oversight of clinical trials at an asset level, ensuring high-quality data generation to support the safety and efficacy of our pipeline products.  This role involves leading and developing a team and contributing to and influencing clinical development strategy across an asset, including study design, implementation, and data interpretation, while working cross-functionally to align clinical activities with overall development plans.  The Executive Medical Director collaborates closely with internal and external stakeholders to ensure trial execution meets regulatory, scientific, and business objectives in a fast-paced environment.  The role reports to the Vice President of Clinical Development. 

Key Responsibilities:

• Strategic Leadership:
• Drives the clinical development strategy for one or more assets
• Identifies critical clinical development milestones and ensures team alignment and accountability toward meeting timelines
• Provides leadership to the clinical team’s contribution to clinical study reports, key clinical documents, and regulatory submissions
• Directly manages and/or mentors Medical Directors, Clinical Scientists and other team members as appropriate
• Clinical Trial Design and Oversight:
• Leads and contributes to the development of clinical trial protocols, including patient selection criteria, study endpoints, and data collection methods
• Oversees the conduct of clinical trials, ensuring adherence to protocols and good clinical practice (GCP) guidelines, working closely with CROs and external partners to ensure efficient execution
• Reviews and interprets clinical data to assess the safety and efficacy of the investigational drug, driving timely, data-driven decisions
• Manages the clinical contribution to documents required during development (including but not limited to: Clinical Study Protocols, Investigator Brochures, Clinical Study Reports)
• Medical Expertise:
• Provides deep medical and scientific expertise in the therapeutic area, disease state, and potential drug effects 
• Reviews clinical data to identify and analyze safety concerns and adverse events, working with the pharmacovigilance team on continual benefit-risk assessment
• Stays current with relevant medical literature and clinical trial methodologies

• Contributes medical expertise to external interactions, including KOL engagement, advisory boards, and regulatory interactions as appropriate

• Cross-Functional Collaboration:
• Works closely with other functions including clinical operations, regulatory affairs, medical affairs, biometrics, pharmacovigilance, pre-clinical and project management teams to ensure alignment between clinical strategy and execution in a fast-paced environment
• Presents clinical data to internal and external stakeholders as appropriate
• People Leadership & Team Development:
• Leads and develops a high-impact team
• Provides coaching, mentorship, and performance management
• Fosters a culture of accountability, collaboration, and scientific rigor
• Supports hiring and resource planning in partnership with leadership

Qualifications:

• Medical degree (MD) ideally with board certification in a relevant specialty
• Extensive experience in clinical research and development, including within the pharmaceutical industry with progression of career demonstrating clinical leadership
• Proven people leadership experience, including managing and developing direct reports in small or growing teams
• Strong understanding of clinical trial design, GCP guidelines, and regulatory requirements, ideally with Phase 2 and 3 clinical study experience
• Excellent communication, leadership, and analytical skills
• Demonstrated ability to contribute to and influence clinical strategy while driving hands-on execution 

Experience working in a small or emerging biotech environment, with comfort operating in a fast-paced setting

Compensation:

• An appropriate financial package will be developed for the successful candidate to include a competitive base salary and equity, with a performance-related bonus opportunity.
• The anticipated salary range for candidates is $331,000 to $368,000. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and length of experience within the job, type and length of experience within the industry, education, etc. Oruka is a multi-state employer and this salary range may not reflect positions that work in other states.

We're looking forward to hearing how you can contribute to our team and mission. Join us in shaping the future of our company and making a real impact every day.

The ML Data Service team is seeking a highly experienced and motivated Staff Tech Lead Manager (TLM) to lead the development and operation of our core machine learning data infrastructure. This critical role requires a blend of deep technical expertise in machine learning systems, large-scale data processing, and proven leadership ability to manage both individual contributors and technical direction.

The ML Data Service team is responsible for providing reliable, high-quality, and easily accessible data for all ML use cases. As owners of the "Data Engineering" phase of the ML lifecycle, they manage the most critical input to any ML system: the data itself. Our infrastructure supports hundreds of data pipelines and petabytes of data, directly enabling the success of our flagship products.

What You'll Do

Technical Leadership and Strategy

• Define and drive the technical roadmap and long-term strategy for the ML Data Service platform, ensuring it meets the evolving needs of ML engineers across the company.
• Serve as the top technical expert for the team, architecting complex, highly scalable, and fault-tolerant systems for data ingestion, transformation, and serving.
• Lead the technical vision for the provision of diverse training data sources, including ingestion from real-world drive logs, resimulation outputs, autolabelling pipelines, and human labelling efforts.
• Drive the implementation of robust mechanisms for monitoring data quality, tracking data lineage, and ensuring overall data governance and compliance.
• Provide hands-on technical guidance, design reviews, and mentorship to engineers, ensuring the adoption of best practices, high code quality, and operational excellence.

Management and Team Growth

• Manage a team of software engineers, including performance reviews, career development, coaching, and mentoring.
• Act as a technical leader-manager hybrid, balancing 50% management duties with 50% technical leadership, architecture, and hands-on coding/design.
• Drive hiring and recruitment efforts to attract, onboard, and retain top engineering talent, fostering a diverse and inclusive team culture.
• Champion engineering excellence, operational rigor, and a strong sense of ownership within the team.

Collaboration and Execution

• Collaborate closely with ML model teams and Infrastructure teams to understand data needs and deliver solutions that accelerate ML development cycles.
• Lead the execution of major projects, ensuring on-time delivery and alignment with business objectives.
• Communicate complex technical concepts and strategic direction effectively to both technical and non-technical stakeholders, including executive leadership.

What We're Looking For

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 8+ years of experience in software engineering, with a strong focus on large-scale data systems, distributed systems, or ML infrastructure.
• 3+ years of experience managing engineering projects with a track record of delivering efficient tools and infra. Manger experience  of building and scaling high-performing teams is a strong plus (including mentoring, performance management, and career development).
• Deep expertise in data processing technologies (e.g., Spark, Flink, Beam, distributed databases) and experience with cloud platforms (e.g., AWS, GCP, Azure).
• Demonstrated experience designing, implementing, and operating production-grade ML data pipelines or feature stores.

This role is hybrid from our Boston and Pittsburgh offices and requires two in-office days per week, ideally Tuesday and Thursday.

The ML Data Service team is seeking a highly experienced and motivated Staff Tech Lead Manager (TLM) to lead the development and operation of our core machine learning data infrastructure. This critical role requires a blend of deep technical expertise in machine learning systems, large-scale data processing, and proven leadership ability to manage both individual contributors and technical direction.

The ML Data Service team is responsible for providing reliable, high-quality, and easily accessible data for all ML use cases. As owners of the "Data Engineering" phase of the ML lifecycle, they manage the most critical input to any ML system: the data itself. Our infrastructure supports hundreds of data pipelines and petabytes of data, directly enabling the success of our flagship products.

What You'll Do

Technical Leadership and Strategy

• Define and drive the technical roadmap and long-term strategy for the ML Data Service platform, ensuring it meets the evolving needs of ML engineers across the company.
• Serve as the top technical expert for the team, architecting complex, highly scalable, and fault-tolerant systems for data ingestion, transformation, and serving.
• Lead the technical vision for the provision of diverse training data sources, including ingestion from real-world drive logs, resimulation outputs, autolabelling pipelines, and human labelling efforts.
• Drive the implementation of robust mechanisms for monitoring data quality, tracking data lineage, and ensuring overall data governance and compliance.
• Provide hands-on technical guidance, design reviews, and mentorship to engineers, ensuring the adoption of best practices, high code quality, and operational excellence.

Management and Team Growth

• Manage a team of software engineers, including performance reviews, career development, coaching, and mentoring.
• Act as a technical leader-manager hybrid, balancing 50% management duties with 50% technical leadership, architecture, and hands-on coding/design.
• Drive hiring and recruitment efforts to attract, onboard, and retain top engineering talent, fostering a diverse and inclusive team culture.
• Champion engineering excellence, operational rigor, and a strong sense of ownership within the team.

Collaboration and Execution

• Collaborate closely with ML model teams and Infrastructure teams to understand data needs and deliver solutions that accelerate ML development cycles.
• Lead the execution of major projects, ensuring on-time delivery and alignment with business objectives.
• Communicate complex technical concepts and strategic direction effectively to both technical and non-technical stakeholders, including executive leadership.

What We're Looking For

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 8+ years of experience in software engineering, with a strong focus on large-scale data systems, distributed systems, or ML infrastructure.
• 3+ years of experience managing engineering projects with a track record of delivering efficient tools and infra. Manger experience  of building and scaling high-performing teams is a strong plus (including mentoring, performance management, and career development).
• Deep expertise in data processing technologies (e.g., Spark, Flink, Beam, distributed databases) and experience with cloud platforms (e.g., AWS, GCP, Azure).
• Demonstrated experience designing, implementing, and operating production-grade ML data pipelines or feature stores.

This role is hybrid from our Boston office and requires two in-office days per week, ideally Tuesday and Thursday.

Job Title: Senior Software Engineer
Locations: Houston, TX; Boston, MA  
Reports to: Manager, Software Engineering 

 A quick snapshot… 

As a Senior Software Engineer, you’ll be a key member in a team responsible for the development of scalable, reliable, and innovative AI/GenAI solutions. You’ll contribute to high-priority projects, ensuring maintainable code and producing high-quality, production-ready applications. You’ll operate with a high degree of technical expertise, strategic thinking, effective collaboration across diverse teams, while helping to mentor and elevate others to meet a very high technical bar.    

Why it’s a big deal…   

You will be a key contributor to delivering Conga’s AI roadmap, ensuring solutions meet high quality standards and timelines. You’ll be a core member of the team that will implement complex, large-scale AI systems. You’ll also have the opportunity to work cross-functionally to resolve issues, mentor junior members, and help to foster a culture of continuous learning and technical excellence. All of this adds up to an exciting, challenging, and always interesting place to work, where complex problems are found and solved every day. 

Here's what we’re looking for… 

Related Experience. You have 7+ years of professional software development experience, including 3+ years in AI/ML or GenAI. You have a proven track record of developing and deploying scalable, production-grade AI solutions.  

Technical expertise. You have:   

• Experience in Python and frameworks such as TensorFlow, PyTorch, FastAPI, LangChain, LangGraph, and KubeFlow.   
• Knowledge of AI/ML algorithms, generative models, and LLMs.  
• Proficiency with cloud platforms (e.g., GCP, AWS, Azure) and modern DevOps practices.  
• Strong understanding of distributed systems, microservices architecture, and database systems (SQL/NoSQL).  

  Education. A bachelor’s degree in engineering or equivalent. 

 Here’s what will give you an edge… 

Effective communication and interpersonal skills. You’re comfortable initiating and engaging in collaborative discussions. You are skilled at reading and adapting to different communication styles. When you speak, you are clear and concise. Your strong listening skills help to build trust and foster connections with our clients. They also ensure you collect the right information so you can resolve issues most expediently. 

Initiative. You do not wait around for things to happen or for someone to tell you what to do. You are not only proactive about completing your own work, but when you sense the need to introduce a project that will benefit the team or the organization -- even if it’s outside your scope of work -- you put a proposal together, talk to the team about it, and own it. And that also goes back to having an entrepreneurial spirit. 

Passionate Problem Solver. Proactive, self-driven, and enjoys solving complex problems, not just in the primary area of responsibility but across boundaries. Identify and implement best practices for coding as well as development processes and perform as a trusted contributor requiring little to no supervision and demonstrating the ability to meet deadlines, exceed goals, and create benchmarks for success. 

#LI-BR1

Role: Senior Software Engineer 
Reports to: Sr. Manager, Software Engineering 
Location: Houston, TX; Boston, MA; 

A quick snapshot…
As a Senior Software Engineer at Conga, you will be a key contributor to the design, development, and deployment of advanced AI and generative AI-based products. You will drive technical innovation, lead complex projects, and collaborate closely with cross-functional teams to deliver high-quality, scalable, and maintainable solutions. This role requires a strong background in software development, AI/ML techniques, and DevOps practices, along with the ability to mentor junior engineers and contribute to strategic technical decisions.

Why it’s a big deal…
As a Senior Software Engineer, you will play a critical role in shaping the future of Conga’s AI-powered product portfolio. You’ll lead the development of scalable, production-grade solutions that bring generative AI capabilities to life, while influencing architecture, engineering best practices, and delivery execution. Your work will directly impact product innovation, platform reliability, and the ability of our teams to build intelligent, high-performing solutions at scale.

Are you the person we’re looking for?   

Related experience.

At least 6 years of professional software development experience, including significant experience building AI/ML or generative AI applications. Demonstrated success developing scalable, production-grade software solutions and leading complex technical initiatives from design through deployment.

Technical Expertise:

• Advanced proficiency in Python, FastAPI, PyTest, Celery, and other Python frameworks
• Deep understanding of software design patterns, object-oriented programming, and concurrency
• Strong experience with cloud technologies such as GCP, AWS, or Azure
• Experience with containerization and orchestration tools such as Docker and Kubernetes
• Familiarity with CI/CD practices, version control systems such as GitHub, and work tracking tools such as JIRA
• Knowledge of generative AI frameworks such as LangChain and LangGraph, along with MLOps and AI lifecycle management
• Experience deploying and monitoring AI models in cloud environments
• Bachelor’s degree in Computer Science, Engineering, or a related technical field; Master’s degree preferred

Education: A bachelor’s degree in Computer Science, Engineering or equivalent 

Here’s what will give you an edge… 

• Hands-on experience with advanced machine learning algorithms, including generative models, NLP, and transformers
• Knowledge of industry-standard AI frameworks such as TensorFlow and PyTorch
• Experience with data preprocessing, model evaluation, and AI model optimization
• Proficiency with relational and NoSQL databases such as MongoDB, MSSQL, and PostgreSQL
• Experience with analytics platforms such as BigQuery, Snowflake, or Tableau
• Familiarity with messaging systems such as Kafka
• Experience with test automation tools and CI/CD tooling, including Terraform and GitHub Actions
• Advanced knowledge of GCP technologies such as Vertex AI, BigQuery, GKE, GCS, and Dataflow, particularly for deploying AI models at scale 

Responsibilities:

• Design, develop, and optimize high-quality code for complex software applications and systems, maintaining high standards of performance, scalability, and maintainability
• Lead end-to-end development of generative AI solutions, from data collection and model training to deployment and optimization
• Experiment with cutting-edge generative AI techniques to enhance product capabilities and performance
• Take ownership of architecture and technical decisions for AI/ML projects
• Mentor junior engineers, review code for adherence to best practices, and promote technical excellence across the team
• Lead execution and delivery of features, managing project scope, timelines, and priorities in collaboration with product managers
• Proactively identify and mitigate risks to support successful, on-time delivery
• Contribute to architectural design and planning for new features, ensuring solutions are scalable, reliable, and maintainable
• Conduct rigorous code reviews and provide actionable feedback that supports team growth and software quality
• Design and implement robust test suites to ensure code quality and system reliability
• Advocate for test automation and CI/CD pipelines to streamline testing and maintain service health
• Monitor and maintain the health of deployed services using telemetry and performance indicators
• Perform root cause analysis for incidents and drive preventive measures to improve system reliability
• Operate in a DevOps model, taking end-to-end ownership of features and services in production
• Create and maintain thorough documentation for code, processes, and technical decisions
• Contribute to knowledge sharing and continuous improvement across the engineering organization

#LI-BR1

Job Title: Software Engineer
Locations: Houston, TX; Boston, MA  
Reports to: Manager, Software Engineering 

 A quick snapshot…
We are seeking a talented and motivated Software Engineer to join our engineering team and contribute to the development of next-generation AI and Generative AI–powered products and solutions. In this role, you will work on cutting-edge SaaS technologies and help build scalable software used by enterprises worldwide. You will contribute to the design, development, testing, deployment, and maintenance of software systems while collaborating with cross-functional teams to deliver reliable and innovative product capabilities.

Why it’s a big deal…  
As a Software Engineer, you will contribute to the development of Conga’s AI-powered platform by helping build scalable applications and services that support intelligent automation and advanced analytics for global customers. 

Here's what we’re looking for… 

Related Experience. 

Software Development. Write clean, maintainable, and efficient code for software applications and distributed systems while adhering to engineering best practices.

GenAI Product Development. Participate in the AI development lifecycle including data preparation, model experimentation, evaluation, and deployment of generative AI solutions.

Technical Contribution. Collaborate with engineering teams to develop and enhance software features that meet performance, scalability, and reliability requirements.

Feature Delivery. Work closely with product managers and engineering teams to deliver features and improvements on schedule while maintaining high quality standards.

Architectural Participation. Contribute to technical design discussions and architecture reviews to ensure solutions are scalable, reliable, and maintainable.

Code Review. Participate in peer code reviews and maintain a high standard of technical quality across the engineering team.

Testing & Quality. Develop testable software, write unit tests, and participate in automated testing processes using modern testing tools and frameworks.

Service Health & Reliability. Monitor service performance and assist in troubleshooting issues. Participate in root cause analysis and improvements to enhance system reliability.

DevOps Collaboration. Work within a DevOps model to help deploy, monitor, and maintain applications in production environments.

Documentation. Document features, enhancements, and fixes while contributing to knowledge sharing and internal documentation.

Education. A bachelor’s degree in engineering or equivalent. 

• Bachelor’s degree in Computer Science, Engineering, or related technical field (or equivalent practical experience)
• 4+ years of professional software development experience
• Strong proficiency in Python and modern Python frameworks
• Experience with FastAPI, PyTest, Celery, or similar technologies
• Familiarity with software development practices, version control systems such as GitHub, and work tracking tools such as JIRA
• Understanding of cloud technologies and DevOps principles

Here’s what will give you an edge… 

• Experience with object-oriented programming, concurrency, and REST APIs
• Familiarity with AI/ML, Generative AI, and MLOps concepts
• Experience with LangChain, LangGraph, or similar AI frameworks
• Experience working with SQL and NoSQL databases such as MongoDB, MSSQL, or PostgreSQL
• Experience with CI/CD pipelines and tools such as Terraform and GitHub Actions
• Experience with Docker and Kubernetes
• Familiarity with GCP technologies such as VertexAI, BigQuery, GKE, GCS, and DataFlow
• Experience with additional languages such as C#, Java, or Scala is a plus

#LI-BR1

Responsibilities

We are seeking a visionary Chief Strategic Architect to serve as Workato's technical authority and strategic advisor to our most critical prospects, customers, and the broader market within their assigned region. The Chief Strategic Architect operates at the nexus of technical credibility, executive influence, and market thought leadership, acting as the external-facing voice of Workato's innovation and technical vision.

This is not a sales role. It is a strategic, hybrid operator-advisor-influencer position. You will act as an extension of the executive team in the field, elevating conversations with senior leaders and positioning Workato as the essential platform for enterprise integration, AI orchestration, and intelligent automation.

This role is accountable for building technical trust across the customer lifecycle - from initial engagement through strategic expansion - while simultaneously shaping how the market understands enterprise integration, AI orchestration, and intelligent automation. The Chief Strategic Architect influences deal outcomes, product direction, and industry perception, ensuring Workato is recognized as the definitive leader in Enterprise Orchestration.

First 90 Days

Learn & Align (Days 0-30)

• Deep immersion into Workato's AI vision, product roadmap, and GTM strategy

• Shadow at least 10 executive customer conversations

• Develop initial point of view for engagement with CIO/CTO/CDO personas

Engage & Formulate (Days 30-60)

• Lead first strategic engagements with enterprise accounts

• Co-develop executive playbooks with Sales and Product teams

• Establish feedback loops with Product and Engineering teams

Influence & Scale (Days 60-90)

• Cultivate trusted relationships with C-level executives in 5+ strategic accounts

• Co-create first AI-driven integration use cases with customers

• Establish thought leadership presence through content and speaking opportunities

Technical Trust & Executive Relationships

• Engage directly with C-level executives (CIOs, CTOs, Chief Data Officers, Chief AI Officers) at enterprise accounts to shape integration strategies that solve complex business challenges

• Serve as trusted technical advisor throughout the customer lifecycle - from initial engagement through expansion - providing strategic guidance rooted in real-world operator experience

• Build lasting peer-to-peer relationships that position you as the go-to expert on enterprise integration, AI orchestration, and automation at scale

• Act as technical closer in competitive deals, articulating why Workato's architecture differentiates us from competitors like MuleSoft and Boomi

• Influence enterprise architecture decisions and multi-year technology strategies at the executive level

AI, Agentic Automation & Enterprise MCP Strategy

• Shape and guide customers' AI and agentic automation journeys, leveraging Workato's AI capabilities and ecosystem

• Advise on the design and adoption of agent-based workflows, human-in-the-loop models, and decision automation frameworks

• Partner with customer executives to define enterprise MCP (Model Context Protocol) strategies including context management, secure AI orchestration, and governance

• Translate emerging AI capabilities into practical, scalable enterprise use cases that drive measurable business outcomes

• Position Workato as the integration and orchestration backbone for enterprise AI transformation

Domain Expertise & Thought Leadership

• Establish yourself as the recognized authority across iPaaS, API Management (APIM), data orchestration, EDI, and AI/Agentic automation

• Lead "Art of the Possible" workshops that fundamentally shift how customers think about enterprise integration and intelligent automation

• Represent Workato at industry conferences, customer advisory boards, analyst briefings, and partner events

• Create high-impact thought leadership content: blogs, white papers, webinars, reference architectures, and technical videos

• Shape industry narratives and best practices that establish Workato as the category leader

Deal Acceleration & Commercial Impact

• Accelerate deal velocity through technical validation, competitive differentiation, and executive trust-building

• Identify and shape strategic expansion opportunities by uncovering automation, integration, and AI-driven transformation initiatives

• Partner with Account Executives and Sales Leadership on account strategy, competitive positioning, and C-level engagement tactics

• Articulate compelling ROI narratives and business case frameworks that accelerate buying decisions

• Demonstrate measurable impact on win rates, deal size, and sales cycle length in strategic opportunities

Strategic Advisory & Technical Leadership

• Lead high-impact customer engagements requiring executive-level judgment, architectural vision, and industry expertise

• Guide prospects and customers through Enterprise Orchestration vision and roadmap development

• Develop prioritization frameworks for integration, automation, and AI use cases

• Lead technology evaluation and vendor selection processes with enterprise customers

• Design governance, scalability, and enterprise operating models for automation initiatives

Product Influence & Market Intelligence

• Act as the voice of the customer to Product and Engineering teams, channeling field insights into actionable roadmap input

• Identify capability gaps, competitive threats, and market opportunities based on executive-level customer conversations

• Develop and refine competitive positioning, objection handling, and differentiation strategies

• Define reusable patterns, reference architectures, and technical frameworks that accelerate customer success

• Influence industry analysts and thought leaders to strengthen Workato's market position

Internal Enablement & Team Development

• Educate and enable Sales Engineers, Account Executives, and Customer Success teams on complex technical capabilities and emerging trends

• Develop strategic frameworks, competitive positioning, and executive engagement playbooks for enterprise accounts

• Mentor technical team members, helping them develop deeper domain expertise and executive engagement skills

• Create scalable technical enablement content and programs that amplify your expertise across the field organization

• Drive customer reference creation and participation in case studies, speaking opportunities, and advisory boards

Requirements

Qualifications / Experience / Technical Skills

• Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience)

• 20+ years of technology transformation experience, including integration, middleware, or API management platforms

• 15+ years in an Enterprise Architect, CTO, VP Engineering, or similar senior architecture/leadership role

• Demonstrated experience advising C-level executives on technology strategy and enterprise transformation

• Strong understanding of enterprise security, governance, and operating models

• Proven track record of driving platform expansion and value realization in enterprise accounts

• Excellent executive communication skills, including board-level presentations and strategic documentation

• Ability to operate independently in complex, ambiguous environments and take ownership of outcomes

• Travel to client sites up to 50%, with flexibility based on regional needs

Soft Skills / Personal Characteristics

• Master's degree in Computer Science, Software Engineering, Business, or related field

• Deep knowledge of key enterprise applications: Salesforce, NetSuite, Workday, ServiceNow, SAP, Oracle

• Experience with cloud platforms: AWS, Azure, and GCP

• Hands-on experience with AI/ML platforms and agentic automation frameworks

• Experience in a high-growth startup or scale-up environment

• Established personal brand and thought leadership presence in the integration/automation space

Measures of Success

Long-term success for this leader will be measured by their ability to:

• Embed Workato at the heart of technology strategy conversations across the region's most influential enterprises

• Cultivate sustained engagement with senior technology and engineering leaders ensuring Workato becomes synonymous with Enterprise Orchestration and AI orchestration

• Create a robust pipeline of seven-figure opportunities tied to transformation initiatives

• Reframe Workato in the minds of decision-makers and analysts as the essential platform for AI-enabled enterprise integration

• Leave behind scalable playbooks and repeatable narratives that enable go-to-market teams to engage enterprise audiences with authority and credibility.

The estimated pay range for this role is between  $240,000 - $280,000 + Bonus, but candidates outside of this band are encouraged to apply.

Job Req ID: 2645

About the Role

We are seeking a highly motivated, proactive, strategic, and solution-focused Head of Clinical Operations. This hands-on position will lead and support all aspects of clinical trial operations including planning, implementation, execution, and management of clinical studies by overseeing day-to-day operations, including direct management of outside Clinical Research Organizations (CROs) for several clinical stage oncology assets. In this role, the Clinical Operations leader will manage multiple priorities in a fast-paced environment and enact quick problem solving to ensure the successful conduct of clinical trials and the timely delivery of high-quality data. This role will oversee early and late phase trials with an emphasis on proactivity and creative solutions to overcome regulatory and operational hurdles. The successful candidate will have experience, and interest in, working in a small, dynamic environment with broad responsibilities.

Responsibilities

• Develop and lead a team of clinical operations professionals to ensure high-quality execution of early and late phase clinical trials and the professional development of team members.
• Serve as subject matter expert in clinical operations, providing guidance and expertise to cross-functional teams, including clinical development, regulatory affairs, and data management.
• Provide operational expertise and strategic input to Clinical Development Plans and support the overall clinical strategy for clinical programs. 
• Proactively communicate study plans, progress, risks and mitigations with senior leaders.
• Develop, implement, and modify when needed a successful resource and outsourcing model to meet the evolving demands of an expanding clinical portfolio.
• Manage study site selection, qualification, initiation, and monitoring activities to ensure that clinical trials are conducted according to the study protocol and in compliance with regulatory requirements.
• Evaluate and negotiate budgets, oversee selection and provide oversight and management of CROs, consultants and vendors to ensure the effective and timely execution of clinical trials, with high quality (including inspection ready) and within agreed budget.
• Monitor progress of clinical activity and report on the progress of clinical trials including budget, timelines, enrollment, and data collection / review. 
• Participate in the creation, review, and finalization of clinical study-related documents such as protocols, protocol amendments, clinical study reports (CSRs), regulatory submissions and other publications as required.
• Coordinate the delivery of clinical trial supplies in collaboration with CRO and other company team members.
• Develop and maintain strong relationships with clinical investigators and study site staff to ensure site performance, patient enrollment, and data quality; perform periodic visits to sites and/or vendors to assess progress and compliance.
• Ensure clinical trials maintain an inspection readiness state throughout the lifecycle of the trial and provide subject matter expertise for regulatory inspections.
• Maintain knowledge across the clinical operations team of program specific therapeutic areas, current medical practice, and pharmaceutical regulations in order to ensure best practice across all activities and appropriate communication to study sites.
• Proactively implement process improvements and innovative approaches. Support the creation of clinical operations Standard Operating Procedures (SOPs), systems, and processes across the trials; ensures compliance with regulatory and other applicable standards and guidelines.

Qualifications:

• Bachelor’s degree (BA/BS) in a relevant scientific field (e.g. nursing, biology, biochemistry, or related areas); advanced degree preferred.
• At least 15 years of experience of successfully leading studies within clinical research operations. Experience with both small and large biotechnology companies is favorable.
• Experience in Phase I-III oncology clinical studies. Global experience preferred.
• Demonstrated expertise building and managing clinical operations teams.
• Excellent verbal and written skills, allowing for an open and effective dialogue throughout the company.
• Highly accountable for the results and outcomes of their responsibilities and understands the impact of their efforts, results, and attitudes on others.
• Experience with agency submissions and inspections, understands adherence to SOPs, ICH/GCP, and FDA and other health authorities’ regulations.
• Forward thinking mindset with ability to manage multiple projects, identify and resolve issues.
• Strong analytical, organizational, and time management skills with a track record of identifying and implementing novel solutions and problem-solving.
• Demonstrated agility and ability to navigate and be successful in a fast-paced, dynamic work environment.
• Proven hands-on leadership and communication skills (written and verbal).
• Team player who collaborates effectively with internal stakeholders as well as external contract organizations.
• Be a champion of a highly collaborative, transparent, data driven, “make it happen” culture.

This position is classified as exempt. The anticipated annual base salary range for candidates who will work in Watertown, MA is $319,333 - $375,665. The final base salary offered to the successful candidate will be dependent upon several factors that may include but are not limited to the type and length of experience within the job, type and length of experience within the job, education, and other factors. Treeline Biosciences is a multi-state employer, and this salary range may not reflect positions that work in other cities or states.

Recruitment fraud statement

Please be aware of recruitment fraud and related job scams, where scammers present themselves as recruiters but are seeking to steal money or personal information. Keep the following in mind to protect yourself:

• Treeline Biosciences will never ask for money from you as part of our recruitment process. Do not provide bank details or pay somebody for the promise of a job at Treeline.
• We do not conduct interviews through Skype or Telegram.
• Our job openings are first posted to treeline.bio/careers. If you locate a listing for a Treeline job on another site, please ensure it is also posted on our careers website.
• You can find more information about job scams at consumer.ftc.gov/articles/job-scams.
• To report job scams, head to ReportFraud.ftc.gov.

Mission Summary:

At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery.

As a Senior Machine Learning Engineer on the Data Mining team, your mission is to build the "Brain" of this engine: designing massive multimodal Teacher models that understand the world, and distilling them into hyper-efficient Student models that can scour exabytes of data in near real-time. You will work at the intersection of large-scale representation learning, retrieval optimization, and reasoning systems. Your work will directly influence how we compress knowledge into efficient encoders for fast search, and how we apply reinforcement learning to optimize data discovery workflows and intelligent querying. By building smarter mining tools, you will accelerate the entire model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation.

What You'll Do:

• Architect and Train Distilled Models: Design and implement teacher-student model frameworks for multimodal sensor data. Develop training pipelines for knowledge distillation. Ensure student models maintain high accuracy while drastically reducing inference latency and memory footprint.
• Reinforcement Learning for Data Discover: Build RL-based policy learning and reasoning systems for autonomous driving applications. Implement and scale RL training workflows (e.g., PPO, DQN, actor-critic methods) for simulation and real-world interaction. Explore reward shaping, environment modeling, and multi-agent RL where applicable.
• Optimize Model Deployment for Real-Time Inference: Collaborate with backend engineers to deploy distilled and RL models into production. Optimize for latency, throughput, and hardware efficiency across GPU/CPU clusters. Implement model versioning, A/B testing, and monitoring for performance regressions.
• Research and Integrate Agentic Systems: Explore and prototype agentic workflows for autonomous reasoning, chain-of-thought prompting, and goal-directed behavior. Integrate such systems into our broader autonomy stack as experimental or production components.
• Drive Production Reliability: Establish patterns for graceful degradation, fault tolerance, and cost optimization. Operate Omnitag as a mission-critical data platform serving the entire ML organization, with a focus on reliability, debuggability, and operational excellence.
• Mentor and Collaborate: Work closely with ML scientists, data engineers, and autonomy teams to translate research advances into scalable engineering solutions. Guide junior engineers in best practices for model training, evaluation, and deployment.

What We're Looking For:

• BS in Computer Science, Machine Learning, or related field, or equivalent professional experience.
• 6+ years of hands-on experience in machine learning engineering, with a focus on model post training, optimization, and deployment.
• Strong experience with model distillation or teacher-student training - practical knowledge of loss functions, training strategies, and evaluation of compressed models.
• Proven experience with reinforcement learning in production or research settings: policy optimization, reward design, simulation environments, and RL-based reasoning.
• Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX).
• Strong software engineering fundamentals: testing, CI/CD, containerization, and system design.
• Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for inference.
• Demonstrated ability to ship production-grade ML systems and mentor team members.
• Demonstrated track record of shipping robust, well-tested, production-grade systems and mentoring junior engineers

Bonus Points (Nice-to-Haves):

• MS/PhD in Computer Science, Machine Learning, or related field.
• Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning.
• Background in autonomous driving, robotics, or real-time decision-making systems.
• Familiarity with multimodal learning, sensor fusion, or embodied AI.
• Experience building active learning loops, using the model to find the data that breaks the model.
• Experience with ML-based data mining, active learning, or contrastive learning.
• Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms.
• Publications or open-source contributions in RL, distillation, or efficient ML.
  
  

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Mission Summary:

We are seeking an experienced and visionary Principle Level Tech Lead Manager to build and lead our new Machine Learning (ML) Acceleration team. This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating ML model training. The ultimate goal is to drastically reduce the development cycle for new ML models and enable rapid hot-patching for issues within our deployed autonomous vehicle services.

You will be a hands-on leader, blending deep technical expertise in ML systems and performance optimization with strong leadership and people management skills. You will recruit, mentor, and grow a high-performing team of engineers, fostering a culture of innovation, collaboration, and continuous improvement.

What you'll be doing:

• Team Leadership & Management:
• Build, lead, and manage a high-performing team of ML and infra engineers focused on acceleration.
• Provide technical guidance, mentorship, and career development opportunities to team members.
• Foster a collaborative and inclusive team environment.
• Define team goals, priorities, and roadmap in alignment with company objectives.
  
  
• Technical Strategy & Execution:
• Define the technical vision and strategy for ML acceleration across the organization.
• Identify and evaluate cutting-edge technologies and methodologies for speeding up ML training, including but not limited to data pipeline optimization, large scale distributed training, data loader optimization, hardware acceleration, and model optimization techniques.
• Design, develop, and implement scalable and efficient ML acceleration solutions.
  
  
• Cross-functional Collaboration:
• Collaborate closely with ML research, ML Training platform, and product teams to understand their needs and integrate acceleration solutions seamlessly.
• Communicate complex technical concepts and strategies to both technical and non-technical stakeholders.
• Act as a technical expert and advocate for ML acceleration initiatives across the company.
  
  
• Impact & Measurement:
• Regularly measure and report on the impact of acceleration efforts.
• Continuously seek opportunities for further optimization and innovation.
  
  

What we're looking for:

• Experience:
• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience
• 8+ years of experience in software engineering, with at least 5+ years focused on Machine Learning systems and model performance optimization.
• 3+ years of experience in a technical lead or management role, with a proven track record of building and leading high-performing teams.
• Extensive experience with large-scale ML model training and deployment, ideally in a production environment.
• Strong understanding of distributed systems and cloud computing platforms (e.g., AWS, GCP, Azure).
  
  
• Technical Skills:
• Deep expertise in ML frameworks such as PyTorch or JAX.
• Proficiency in performance profiling and optimization techniques for Deep Neural Networks.
• Strong programming skills in Python; C++ experience is a plus.
• Knowledge of MLOps principles and practices.
  
  
• Leadership Skills:
• Exceptional leadership, communication, and interpersonal skills.
• Ability to attract, hire, and retain top engineering talent.
• Proven ability to drive complex technical projects from conception to completion.
• Strong problem-solving skills and a proactive, results-oriented mindset.
• Ability to thrive in a fast-paced, dynamic environment.

Mission:

We are seeking a highly skilled and motivated Principal Engineer, Technical Lead to lead our large-scale AI model and software evaluation framework – Ground Truth Regression. The ideal candidate will have a strong background in data engineering, machine learning principals and leadership, with experience in developing and deploying advanced data analysis and large scale orchestration frameworks.

At Motional, large scale orchestration for data analysis plays a critical role in delivering our ML-centered autonomous driving vehicle. Our robo-taxi ML Models and software are developed by hundreds of developers and deployed multiple times a day – The Ground Truth Regression team provides the large scale perception analysis framework for validating all changes to perception which can impact the autonomous vehicle behavior. 

The GTRegression team validates the end impact of ML and software changes to the autonomous vehicle while those changes are in development, providing the tools for Root Cause Analysis, and safety consideration. We monitor for model errors, anomalies, rare objects & long-tail driving scenarios across thousands of driving hours. The team develops the full stack – AWS Kubernetes orchestration framework, ReSimulation, model metrics, regression reports, and deep dive analysis UI’s. The team works together with all other perception and ML teams to develop the metrics and analyze results.

What You'll Do: 

• Lead a team of engineers with a diverse skill set to deliver critical software supporting the development of the autonomous vehicle ML models and software.
• Drive innovation by researching and developing new large scale data warehousing and analysis.
• Own large-scale data analysis workflows that surface unexpected impacts of planned and unplanned changes to the ML models and software.
• Build high-quality datasets to improve ML products through training & edge case validation.
• Provide statistical depth on model performance & generalization through rigorous error and change analysis.
• Provide technical leadership and mentorship to the team, fostering a culture of collaboration and continuous improvement.
• Manage project timelines, resources, and deliverables to ensure successful project execution.

What We're Looking For:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Excellent leadership, communication, and problem-solving skills.
• Proven record leading a small diverse dedicated team supporting a large user base.
• Experience in machine learning, data mining, and statistical analysis.
• Proven experience in developing and deploying large scale cloud frameworks.
• Strong programming skills in Python.
• Experience with large-scale data processing and distributed computing technologies.
  
  

Bonus Points:

• Ph.D. in Computer Science or a related field.
• Experience with cloud platforms such as AWS, Google Cloud, or Azure.
• Experience with machine learning in the autonomous driving domain.
• Publications or contributions to the AI/ML community.

Mission:

We are seeking a highly skilled and motivated Senior Data Analysis Engineer for our large-scale AI model and software evaluation framework – Ground Truth Regression. The ideal candidate will have a strong background in data engineering, machine learning principals and statistical analysis. 

At Motional, large scale orchestration for data analysis plays a critical role in delivering our ML-centered autonomous driving vehicle. Our robo-taxi ML Models and software are developed by hundreds of developers and deployed multiple times a day – The Ground Truth Regression team provides the large scale perception analysis framework for validating all changes to perception which can impact the autonomous vehicle behavior. 

The GTRegression team validates the end impact of ML and software changes to the autonomous vehicle while those changes are in development, providing the tools for Root Cause Analysis, and safety consideration. We monitor for model errors, anomalies, rare objects & long-tail driving scenarios across thousands of driving hours. The team develops the full stack – AWS Kubernetes orchestration framework, ReSimulation, model metrics, regression reports, and deep dive analysis UI’s. The team works together with all other perception and ML teams to develop the metrics and analyze results.

What You'll Do:

• Work with ML Engineers and Autonomy Software Developers to develop new data analysis metrics and KPI’s for the validation of the autonomous vehicle performance.
• Drive innovation by researching and developing new large scale data analysis systems.
• Own large-scale data analysis workflows that surface unexpected impacts of planned and unplanned changes to the ML models and software.
• Build high-quality datasets to improve ML products through training & edge case validation.
• Provide statistical depth on model performance & generalization through rigorous error and change analysis.

What We're Looking For:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Strong programming skills in Python, SciPy, and related data analysis frameworks.
• Experience in machine learning, data mining, and statistical analysis.
• Experience with large-scale data processing and distributed computing technologies.
• Strong communication and software development skills: goal setting, design documentation, test frameworks, collaborative cross team development.
  
  

Bonus Points:

• Ph.D. in Computer Science or a related field.
• Experience with cloud platforms such as AWS, Google Cloud, or Azure.
• Experience with machine learning in the autonomous driving domain.
• Publications or contributions to the AI/ML community.

This is a full-time hybrid position (3 days a week) in our Somerville – Assembly Row, Massachusetts office.

SUMMARY 

Manage Quality Approval (qualification) of vendors including R&D, GMP and treatment centers (apheresis collection centers and cell therapy labs) by performing qualification audits and routine (requalification) audits.

Oversee R&D compliance for Genetix clinical studies and Support other Quality Compliance functions, which may include but are not limited to:

• Planning and conducting internal audits
• Assisting with inspection readiness efforts
• Supporting GxP inspection readiness and regulatory inspections

RESPONSIBILITIES

• Collaborate with internal stakeholders (e.g., Apheresis Operations, Commercial, and Clinical Development) and external stakeholders to coordinate and prioritize audits
• Schedule and execute external and internal audits
• Ensure audit observations are communicated, tracked, and remediated in compliance with internal policies and applicable regulatory requirements
• Update approved vendor list, vendor and audit records and develop risk-based audit schedules
• Support annual budget development for outsourced audits
•  Manage Investigator Site Audit Plans for clinical studies
• Develop and present vendor metrics at Management Review
• Oversee R&D quality related activities
• Serve as QA contact for QMS records such as external and internal QMS records and lead investigations, deviations, change controls, and CAPAs, especially those involving CGT clinical operations, analytical activities, or site compliance related
• Serve as compliance lead for clinical studies
• Ensure QA supporting documentation is submitted to the TMF, as applicable
• Serve as QA contact for review and approval of Clinical SOPs
• Perform Regulatory Document Reviews, as applicable
• Provide quality oversight across CGT clinical studies, ensuring GCP compliance, data integrity, and proper documentation throughout clinical execution
• Ensure clinical trial sites are inspection‑ready and provide quality guidance to external partners, CROs, and CGT clinical facilities, ensuring alignment with internal quality standards and regulatory requirements.
• Act as the SME and primary point of contact for inspection management, providing real‑time regulatory guidance.
• Partner with Clinical Operations, Regulatory, and Vendor Management teams to identify and mitigate study specific quality risks throughout the trial lifecycle

QUALIFICATIONS

• 8-10 years of experience in gene therapy/cell therapy/biotech/or other related and regulated industry
• 8–10+ years of experience in R&D Quality
• Experience auditing investigator sites, GMP and R&D vendors and apheresis collection centers and cell therapy labs
• Knowledge of FACT/JACIE requirements
• Demonstrated experience in GCP compliance, clinical trial oversight, inspection readiness, and regulatory interaction
• Direct experience leading clinical deviations, CAPAs, change controls, and investigations
• Experience partnering with Clinical Operations, Regulatory, and cross‑functional stakeholders to manage clinical quality risks

 Preferred Qualifications

• Experience with CGT‑specific clinical QA such as:
• Apheresis and cell handling
• Chain‑of‑custody / chain‑of‑identity systems
• Strong understanding of CGT‑specific analytical and technical quality processes and technical Quality oversight.
• Excellent communication and stakeholder influence skills to support global, cross‑functional clinical programs

Position Summary:

The Director of Scientific Communications & Evidence Generation will be responsible for developing a plan for disseminating the company’s scientific data (manuscripts, abstracts, posters, presentations); as well as identifying clinical evidence gaps, overseeing non-registrational research, and collaborating with cross-functional teams to generate real-world evidence (RWE), health economics and outcomes research (HEOR), and investigator-sponsored research (ISR) to support product value and safety profiles. This role requires strong scientific writing skills, advance understanding of industry best practices related to publication-related and research-related compliance, as well as cross-functional leadership savvy.

Key Responsibilities:

Scientific Communications & Publication Planning

• Develop and maintain and 18-month publication plan and lead the publication review process (abstracts, posters, oral presentations, manuscripts, review articles, etc) in compliance with GPP (Good Publication Practice) and ICMJE authorship criteria, as well as data transparency, and fair balance.
• Utilize innovative formats (micro‑learning, interactive pathways, patient‑friendly visuals) and ensure accessibility for diverse audiences
• Maximize the scientific impact of company data via the strategic selection of journals and congresses
• Collaborate with internal/external expertsand vendors to draft content and ensure the scientific accuracy of all data to be presented.
• Maintain the enterprise scientific lexicon and core claims matrix; ensure consistency across materials and channels.

Data Generation: 

• Lead the development of an integrated evidence generation plan (IEGP) aligned with overall medical affairs goals to address unmet needs in collaboration with Clinical Development, Regulatory, HEOR, and Commercial teams to avoid duplicative efforts. 
• Evaluate and acquire new data sources (clinical trials, RWD, registries) to support evidence plans.
• Create processes for synthesizing feedback from various sources, including field insights and advisory boards and analyze the data to uncover trends and actionable insights to guide scientific communication and strategic decision-making designed to effect change.
• Conceptualize and execute non‑promotional education for multidisciplinary audiences (hematology, BMT/transplant, apheresis, transfusion medicine, genetic counseling, nursing), including webinars, symposia, workshops, and digital learning modules.
• Establish content measurement frameworks (reach, engagement, knowledge lift, practice intent) and continuous improvement loops.
• Provide operational management for Medical Affairs-led research, including RWE, HEOR, and ISR, including monitoring the contractual commitments of vendors and collaborators to ensure quality and timeline adherence.
• Ensure all evidence generation activities follow ICH-GCP guidelines, SOPs, and compliance requirements for post-marketing research.

Cross‑Functional Partnership

• Collaborate within Medical Affairs and with Clinical Development, Regulatory, Pharmacovigilance, Commercial, Market Access, and Patient Advocacy to ensure accuracy and balance across communications.
• Develop and deliver scientific training programs for internal teams (e.g., onboarding for MSLs/field medical; refresher modules on gene therapy mechanisms, safety monitoring, LTFU requirements)..

Associated Responsibilities:

• Own Med Affairs content as well as related SOPs and work processes.
• Ensure adherence to policies and procedures via audits.
• Develop and deliver monthly and quarterly updates to track progress and align on key priorities.
• Develop and manage department budget
• Lead or co‑lead medical review for scientific materials; partner with Legal/Compliance/Regulatory on clear SOPs and guardrails.

Qualifications:

• MD, PharmD, PhD in a biomedical field; experience in hematology or Oncology or cell and gene therapy strongly preferred.
• 8+ years in Medical Affairs/Scientific Communications within biopharma, including publication planning and medical education leadership.
• Understanding of hemoglobinopathies (SCD, β‑thalassemia), cell‑based gene therapy modalities, safety monitoring (including long‑term follow‑up), and registry/RWE experience is preferred
• Experience building omnichannel education programs.
• Fluency with compliance frameworks (GPP, ICMJE, ACCME, OIG, PhRMA Code) and medical review processes.
• Exceptional scientific writing, editorial judgment, and stakeholder management; comfortable engaging with KOLs, investigators, and advocacy leaders.

Position Overview:

This position has design, development and maintenance responsibility for the software programs, databases and processes associated with our core business environments. This would include working with a small team to support a broad range of applications in research, investments, front office and trading applications.  The role requires direct interaction with end users and excellent analytical and communication skills. 

Acadian supports a hybrid work environment; employees are on-site in the Boston office 3 days a week.

What You’ll Do:

• Work on an engineering team to design and develop applications to support the business units
• Assume responsibility for ongoing maintenance of existing core business applications
• Work collaboratively within IT and various business units across the firm

We’re Looking for Teammates With:

• B.S. or M.S. in computer science or equivalent
• 10+ years experience in software development
• 5+ years experience in financial management / services
• Solid knowledge of modern software design principles, concepts, and practices
• Significant experience with Python and associated technologies
• Significant experience with relational databases and SQL
• Knowledge of C# / Microsoft stack a plus
• Experience leading a technical team a plus
• Experience with cloud-based development (AWS preferred)
• Experience with a major cloud provider (e.g., AWS, Azure, or GCP)
• Building and deploying applications in a cloud environment
• Infrastructure as code (Terraform, CloudFormation, etc.)
• Containers and orchestration (Docker, Kubernetes)
• Monitoring, logging, and basic cloud security practices

The base salary range for this role is $190,000 – $215,000 per year. Actual compensation will be determined based on a candidate’s skills, qualifications, and relevant experience. In addition to base pay, this position may be eligible for discretionary incentive compensation and includes participation in Acadian’s comprehensive benefits program, which includes health, retirement, and wellness offerings.

FEQ327R7

While candidates in the listed location(s) are encouraged to apply for this role, exceptionally well-qualified candidates in other East Coast locations will also be considered.

Mission

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for:

• 7+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

Are you looking to combine your passion for technology with your penchant for strategic problem solving? Appian Customer Success is obsessed with great customer outcomes. We deliver mission-critical business impact fast and are directly responsible for partnering with our customers to bring their best ideas to life. Joining the Customer Success team provides you with the support and growth you need to strengthen and evolve your consulting skills while driving next-generation, AI-powered digital transformations.

We are seeking a Senior Technical Consultant to join our Customer Success team. In this role, you will be engaging with our customers post-sales to develop software solutions on the Appian platform. These applications help companies drive digital transformation and competitive differentiation. Your primary responsibility will be to work throughout the entire project life-cycle to define, design, develop and implement custom software and AI solutions using Appian’s platform for our commercial clients. This includes working within an agile environment to understand our client’s business processes and technical needs, launch new relational data models in production, and developing APIs to integrate with multiple systems. You’ll brainstorm AI use cases and implement  Appian’s AI tools by applying retrieval augment generation (RAG), agentic workflows, prompt engineering and the latest generative models as a part of transforming how customers run their organization. You will also collaborate with client’s technical teams and business users as needed throughout the entire software and development life cycle and drive adoption by empowering clients to become self-sufficient with building process applications on their own.

To be successful in this role, you need:

• Passion for mentoring/developing others and experience leading small teams through post-sale software implementation
• Ability to work with clients to define business processes and gather functional and technical system requirements
• Excellent communication skills, passion for technology and continuous learning, and affinity for asking “why” and solving the right problems
• History of success on cross-functional teams; experience building products using agile methodologies (pair programming, stand-ups, planning sessions, and sprints)
• Basic understanding of object oriented programming, experience working with relational databases and database design/data modeling, and SQL skills (writing queries, joins, views, etc)
• Knowledge of software testing practices (test-driven development, automated test suites within a continuous integration framework); integrations experience using APIs such as REST and SOAP, JDBC connections, and web services; familiarity with Amazon Web Services (AWS), Artificial Intelligence (AI), Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic Containers (preferred)

Basic qualifications:

• 3+ years of experience with hands-on software development or technical consulting
• B.S./B.A. in Engineering, Computer Science, Information Systems, Mathematics or related field/degree
• Willingness to travel; 20% to support customer engagement

The base salary for this role is between $100,000-$150,000 per year and represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate’s relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance.

In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. 

Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans.

Iterative Health is pioneering the use of artificial intelligence-based precision medicine in cardiology, with the aim of helping to optimize clinical trials. Ultimately, the company aims to establish more meaningful endpoints to serve as better predictors of both therapeutic response and disease outcomes. This is an exciting time in the Clinical Research industry! Our team is driving the advancement of research by implementing streamlined processes, with a mission of getting treatment options to patients in a faster, more efficient way.

The Clinical Research Systems Specialist is responsible for supporting our clinical trial service operations through the development, maintenance, and quality assurance of administrative clinical trial materials. 

What you’ll be doing: 

• Perform and maintain study builds within CTMS system(s) 
• Support clinical research sites within their CTMS 
• Support Clinical Research Specialists & clinical research sites in EHR prescreening and management of Patient Findings Report 
• Conduct quality review and user acceptance testing of study builds to ensure alignment with protocol, sponsor requirements, and internal standards
• Maintain databases/spreadsheets as necessary to facilitate tracking/documentation of departmental activities 
• Provide QC support for budget and contract team 
• Attend project meetings as needed 
• Read and understand each assigned protocol 
• Provide regular reports to advise leadership of quality issues and to guide process corrections & improvements 
• Perform administrative duties in conformity with company policies and procedures
• Partner cross-functionally with clinical operations, regulatory, finance, and site teams to support study launch and execution.

Required Skills: 

• Clinical Research Coordinator experience
• Experience with CRIO, RealTime CTMS or similar clinical research technology platforms
• Attention to detail and thorough follow-up skills 
• Capable of handling and interacting with data in a confidential and compliant manner 
• Ability to competently use and learn software such as internet browsers, Adobe, Microsoft Office (Word, Excel, PowerPoint, Outlook, Teams) and clinical trial management system (CTMS) 
• Intellectually curious 
• Hardworking, forward-thinking, credible, conscientious, and creative 
• Thrives when working within a high-paced, fluid environment 
• Excellent time management, planning, and organizational skills are required 
• Excellent written and verbal communication skills 
• High level of tact, integrity, and professionalism 

Preferred Qualifications: 

• Experience within a healthcare start-up preferable 
• Experience reading and understanding clinical research manuscripts and protocols
• Experience with vendor management 
• Familiarity with ICH GCP/GDP guidelines
• Familiarity with the following study documents: Budgets, CTAs, eCRF guidelines, lab manuals, pharmacy manuals, informed consent forms, annotated CRFs, etc.

Role Summary

Babel Street is building an AI-native, agent-ready, API-first intelligence platform where computer vision, NLP, and document enrichment continuously produce signals about people, places, organizations, and events. The knowledge graph transforms those signals into a coherent, queryable representation of the world.

We are hiring a Knowledge Graph Engineer to help design, build, and operate the entity resolution and graph layer that connects our multimodal pipelines. You will work closely with the Director of Computer Vision and collaborate with ML, platform, and data engineering teams to connect mentions in text, objects in images, locations in geotagged media, and entities in structured sources into a unified graph.

This is a hands-on engineering role where you will contribute to production systems, grow your expertise in graph modeling and entity resolution, and help shape a platform that is still evolving. This will be a hybrid role based out of either our Reston, VA or Somerville, MA office.

Key Responsibilities

• Implement and evolve graph schemas and entity models for people, locations, organizations, images, and events
• Build and maintain entity resolution pipelines that reconcile entities across NLP outputs (GLiNER, spaCy), computer vision outputs (object detection, OCR, face recognition, geolocation), and structured data sources
• Develop ingestion pipelines that write resolved entities into graph systems such as ArangoDB and Spanner Graph or BigQuery Graph
• Contribute to cross-modal linkage between text, images, and geospatial data, including confidence scoring and provenance tracking
• Collaborate with computer vision engineers to integrate visual entity outputs into the graph layer
• Help build graph-backed APIs and services used by downstream products and workflows
• Write tests, contribute to design discussions, and support improvements to data quality and pipeline reliability

Why This Role Matters

The knowledge graph is where Babel Street’s signals become usable intelligence. A detected landmark, a name extracted from text, an organization mentioned online, and a face identified in an image all become more valuable when they resolve to a shared representation of an entity.

In this role, you will help:

• Connect multimodal signals into a unified graph
• Improve the accuracy and consistency of entity resolution
• Enable downstream search, analytics, and agent workflows

Required Qualifications

• 2–5 years of professional software engineering experience (or equivalent experience through internships and projects)
• Proficiency in Python and at least one typed language (Java, Go, C#, or TypeScript)
• Familiarity with at least one graph database or graph processing framework (ArangoDB, Neo4j, TigerGraph, JanusGraph, NetworkX, or similar)
• Solid understanding of SQL and core data modeling concepts (keys, normalization, joins, indexing)
• Ability to work across teams, incorporate feedback, and make steady progress in ambiguous problem spaces

Preferred Qualifications

• Exposure to entity resolution, record linkage, or deduplication
• Familiarity with semantic modeling or schema design (RDF, OWL, property graphs, JSON-LD)
• Experience with cloud platforms such as GCP (Spanner, BigQuery, Cloud Run)
• Interest in computer vision, NLP, geospatial data, or multimodal systems
• Experience testing data pipelines, implementing data quality checks, or working with observability tools
• Exposure to search, ranking, or retrieval-based systems

What Success Looks Like (First Six Months)

• Month 1–2: Ramp up on the graph stack, contribute to existing pipelines, and ship initial changes
• Month 3–4: Take ownership of a component or pipeline with guidance, including testing and documentation
• Month 5–6: Deliver improvements to entity resolution quality, graph ingestion, or cross-modal linkage, and contribute to design discussions

Benefits at Babel Street (just to name a few...)

• Health Benefits: Babel Street covers 85-100% monthly premium costs for Medical, Dental, Vision, Life & Disability insurances – for you and your family!
• Retirement Plans: Babel Street offers both a Traditional and Roth 401(K) with a very competitive match.
• Unlimited Flexible Leave: We trust our employees to manage their own time and balance their personal and work lives.
• Holidays: Babel Street provides employees with 12 paid Federal Holidays
• Tuition Reimbursement: We are committed to investing in our employees. One way we do that is with our Tuition Reimbursement Program for continuing education.                 

Babel Street is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Further, Babel Street will not discriminate against applicants for inquiring about, discussing or disclosing their pay or, in certain circumstances, the pay of their co‐worker, Pay Transparency Nondiscrimination. In addition, Babel Street's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request, we will provide you with more information about such accommodations.

Job Title: Associate Director, Clinical Operations

Location: Waltham, MA.  Hybrid 3 days/week onsite.

Role Overview:

We are seeking an exceptionally nimble and flexible Associate Director of Clinical Operations who has a track record of achievement across all aspects of trial setup and execution in a fast paced small biotech with limited infrastructure and resources.  The individual will successfully lead and optimize activity across multiple studies for Oruka Therapeutics and will support the Director of Clinical Operations in a specific therapeutic indication. This critical role demands a strategic leader who possesses a keen ability to "zoom in" on intricate operational details while simultaneously "zooming out" to maintain a holistic view of program progress and timelines. The successful candidate will be a proactive problem-solver, adept at navigating complexities, anticipating challenges, and implementing agile solutions to ensure our clinical trials remain on schedule and within budget. We are looking for a candidate that can demonstrate a high degree of integrity, pragmatism and is laser focused on commitment to study goals.  You should be comfortable being a ‘player/coach’ taking on tactical tasks as required in support of the program.

Our environment is dynamic, and each day presents new challenges and opportunities for growth.  This is a “hands-on” role, and the successful candidate will be able to work alongside team members, regardless of levels, to drive results.

Key Responsibilities:

Drive Study Execution

• Help plan and run clinical trials from startup through close-out
• Stay close to study timelines, milestones, and deliverables to keep things on track
• Identify risks early and work with the team to address them before they become bigger issues
• Step in where needed—whether that’s reviewing documents, following up with vendors, or troubleshooting site challenges

Work Closely with CROs and Vendors

• Partner with CROs and vendors on day-to-day execution
• Track performance and timelines, and follow up when things are off track
• Contribute to vendor selection and help ensure we’re getting what we need from external partners

Stay Close to the Details

• Review key study documents and plans with an operational lens
• Make sure studies are being run in line with GCP, SOPs, and regulatory expectations
• Support inspection readiness—keeping documentation organized and audit-ready

Help Keep the Program Moving

• Track study budgets and timelines at a working level
• Flag issues early and escalate when needed
• Help coordinate across functions (clinical, regulatory, data, etc.) so teams stay aligned

Be a Strong Team Contributor

• Work as part of a small, collaborative team where everyone contributes
• Take ownership of your areas and follow through on commitments
• Bring a practical, solutions-oriented mindset to challenges
• Willing to mentor within the Clinical Operations organization

This position will require travel up to 35% (Domestically and internationally)

Qualifications:

• BA/BS required in a scientific/medical field preferred
• A minimum of 8-10+ years of experience in managing global clinical trials at all stages of development
• Experience in immunological and dermatologic disease areas welcome
• Capable of managing direct reports from afar and study team members across multiple time zones and cultures-minimum of 1-2 years of line management experience
• Demonstrated ability to successfully manage and deliver clinical trials from start-up through close-out, including all financial tracking and reporting activities
• Demonstrated successful management and oversight of CROs and other service providers
• Deep understanding of clinical trial design, protocol development/ review, and running the clinical trial meetings
• Significant experience with cross-functional leadership and clinical teams, including leading data review, protocol deviation review, database lock, CSR development, and study reporting activities
• Strong vendor management experience required
• Experience in the management and maintenance of EDC, CTMS, IRT, ePRO, etc.
• Minimum of 5 years of project management experience.
• Experience with Quality Assurance, SOP and Study Plans writing, CAPA preparation, and closure
• Experience with a submission-ready eTMF, regulatory inspections and/or inspection-readiness activities
• Strong knowledge of GCP and working knowledge in ICH GCP E6 R2 regulations
• Strong project management experience and skills is preferred
• Demonstrate strong leadership, decision making ability, collaboration and cross-functional management skills, ability to multi-task in a dynamic and fast-paced environment
• Strong interpersonal, negotiation, influencing, problem-solving skills
• Excellent written and verbal skills required
• Proficient user of standard MS Office suite (e.g., Word, Excel), experience using electronic document management systems, and document review tools desirable-Smartsheet experience a plus
• Strong computer and database skills
• Clear and concise oral and written communication skills
• Excellent organizational skills and experience prioritizing conflicting demands
• Critical thinking, problem solving, ability to work independently.
• Consistently operate with urgency, clarity and conciseness
• Communicate effectively and articulate complex ideas in an easily understandable way

Compensation:

• An appropriate financial package will be developed for the successful candidate to include a competitive base salary and equity, with a performance-related bonus opportunity.
• The anticipated salary range is $182,000 - $208,000. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and length of experience within the job, type and length of experience within the industry, education, etc. Oruka is a multi-state employer and this salary range may not reflect positions that work in other states.

Job Location:                                        

• Waltham, MA. Hybrid 3 days/week onsite

We are looking for a Clinical Data Manager to join our Research Operations team, which drives the end-to-end execution of studies that drive new feature development and validation.  

In this role, you will be part of the full lifecycle of clinical study data — from database build and validation through database lock and archival — ensuring that data is compliant, traceable, and inspection-ready. You will also take a hands-on role in building data quality monitoring reports and dashboards using programming languages and analytics tools to provide real-time visibility into study health.

You’ll work closely with Clinical Operations, Regulatory, Biostatistics, Science, Data Engineering, and external vendors to ensure that our data management practices meet FDA, ICH-GCP, and internal quality standards while enabling speed and scalability.

This is a remote US role with a preference for candidates based on the East coast.

We have offices in San Francisco, San Diego and Los Angeles for those who prefer hybrid or office settings. Oura employees in other major cities (like Boston and New York) occasionally gather informally at local co-working locations.

What You’ll Do:

• Develop and maintain data quality monitoring frameworks, including defining key data quality metrics and thresholds
• Build and maintain quality dashboards and reports using programming languages (e.g., SQL, Python) and BI tools to provide near real-time study insights
• Oversee data validation, coding, reconciliation (e.g., safety, device, external vendor data), and risk-based review processes
  
• Ensure compliance with ICH-GCP, 21 CFR Part 11, HIPAA, and applicable FDA expectations for regulated SaMD trials
• Partner with Engineering and Data teams to support ingestion, transformation, and traceability of multi-source clinical datasets (e.g., wearable data, ePRO, device integrations, CRO exports)
• Manage CRO and vendor data management deliverables, ensuring sponsor oversight and quality standards are met
• Identify data-related risks early and drive mitigation strategies
• Contribute to SOP development and help standardize scalable, repeatable data management practices across Research Operations

We would love to have you on our team if you have:

• 3+ years of industry experience in clinical data management within medical device, digital health (SaMD), biotech, or CRO environments
• Experience supporting regulated clinical trials and regulatory submissions (e.g., 510(k), De Novo, CE/MDR)
• Hands-on experience with industry-standard EDC systems (e.g., Medrio, REDCap, Rave, TrialKit)
• Strong working knowledge of ICH-GCP, 21 CFR Part 11, and data privacy regulations
• Experience managing database builds, edit checks, UAT, query resolution, and database lock activities
• Proficiency in SQL and/or Python, with demonstrated experience building data quality reports, dashboards, and validation queries
• Experience working with structured clinical datasets and familiarity with CDISC standards (SDTM/ADaM) preferred
• Experience collaborating cross-functionally with Clinical Operations, Biostatistics, Regulatory, Engineering, and CRO partners
• Comfort operating in a fast-paced, product-driven environment with multiple concurrent studies
• Flexibility with scheduling to support global collaborators when needed

Benefits 

At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.

What we offer:

• Competitive salary and equity packages
• Health, dental, vision insurance, and mental health resources
• An Oura Ring of your own plus employee discounts for friends & family
• 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
• Paid sick leave and parental leave

Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.

• Region 1 $151,300 - $178,000
• Region 2 $138,550 - $163,000
• Region 3 $127,500 - $150,000

A recruiter can determine your zones/tiers based on your US location.

We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI)

About the Role >>> Vice President, Quality Assurance  

The Vice President, Quality Assurance serves as the senior leader accountable for defining and driving Olema’s global quality strategy, systems, and governance across the full product lifecycle, including clinical development, manufacturing, pharmacovigilance, and commercial. This leader is the primary voice of Quality at the executive level and ensures a phase-appropriate, risk-based approach to quality that reflects the needs of oncology drug development, where patient safety, data integrity, and speed are critical.  

Operating with appropriate independence, this role partners cross-functionally and leads an established Quality leadership team across GCP, GMP, and GPV - aligning priorities, strengthening execution, and ensuring inspection readiness as Olema advances toward late-stage development.

This role is based out of our either our San Francisco, CA or Boston, MA office and will require some travel as needed.  

As Vice President, Quality Assurance, your work will primarily encompass:

Quality Strategy & Leadership  

• Define and drive a pragmatic, phase-appropriate and unified Quality strategy aligned with Olema’s pipeline and corporate objectives   
• Serve as the senior Quality leader, establishing clear governance, decision-making frameworks, and escalation pathways   
• Lead and develop Quality leadership across GCP, GMP, and GPV, enabling strong execution and maintaining clear accountability   
• Foster a culture of quality, integrity, and patient focus across the organization   
• Act as escalation point for significant quality, compliance, and patient safety risks   
• Ensure ongoing inspection readiness across clinical, manufacturing, and safety domains 

Quality Systems & Governance  

• Set expectations and direction for a scalable, integrated, and sustainable Quality Management framework spanning clinical through commercial stages   
• Ensure effectiveness and evolution of Quality systems through oversight of functional leaders across the QA function   
• Drive consistency in quality processes, risk management approaches, and data integrity standards across the organization   
• Establish clear quality metrics and reporting to enable risk visibility and informed decision-making 

Clinical Quality (GCP)  

• Ensure Quality approaches appropriately support the execution of oncology clinical trials   
• Provide oversight of clinical quality and CRO management to ensure patient safety and data integrity   
• Partner with Clinical and Regulatory to support inspection-ready programs and submissions

Manufacturing & Commercial Readiness (GMP)  

• Ensure Quality strategy supports manufacturing scale-up and readiness for late-stage development and commercialization   
• Oversee GMP Quality through established leadership, ensuring appropriate CMO/CDMO oversight and inspection preparedness   
• Provide Quality input into CMC, validation, and supply chain readiness activities

Pharmacovigilance Quality (GPV)  

• Oversee the pharmacovigilance quality framework, ensuring compliance, data integrity, and effective safety surveillance   
• Ensure PV systems and vendors are appropriately governed and inspection-ready   
• Partner cross-functionally to support ongoing evaluation of benefit-risk

Inspection, Audit & Risk Management  

• Lead the Company’s approach to regulatory inspections, including preparation and execution   
• Ensure risk-based audit programs across GCP, GMP, and GPV   
• Drive proactive identification and mitigation of quality and compliance risks

Cross-Functional Leadership  

• Partner with Executive Leadership, Regulatory, Clinical, and Manufacturing, to embed quality across the organization   
• Provide clear, actionable Quality perspectives to support business decisions   
• Represent Quality in executive discussions and external engagements as needed   

Ideal Candidate Profile >>>  

A love of challenging, important work. We are a pragmatic team, driven to imagine and develop meaningful therapies for improving lives. All employees within our company play a unique and crucial role in our success, both in accomplishing our mission and building a positive company culture. As such, we are looking for someone with the right combination of knowledge, experience, and attributes for this role.

Knowledge

• Advanced degree in Life Sciences or related discipline (PhD, PharmD, MS) 
• Deep knowledge of FDA, EMA, ICH, and global GxP and pharmacovigilance (GPV) regulatory requirement 
• Expertise across GCP, GMP, and GPV Quality domains 
• Strong understanding of Quality systems, governance, and inspection readiness practices 
• Working knowledge of oncology drug development

Experience

• Minimum of 15+ years of Quality experience in biotech/pharma with increasing scope and responsibility 
• Significant people management and leadership experience, including leading senior team members 
• Experience overseeing global vendor networks, including CROs, CMOs, CDMOs, and PV vendors 
• Demonstrated experience across GCP, GMP, and GPV environments 
• Proven track record supporting programs from clinical development through late-stage or commercial readiness 
• Experience leading regulatory inspections and interacting with global health authorities 
• Experience implementing and maintaining Quality systems and compliance frameworks

Attributes

• Strong leadership capability with ability to lead through and develop senior leaders 
• Effective communicator with executive presence and influencing skills 
• Sound judgment and decision-making in complex, risk-based environments 
• Ability to operate effectively in a fast-paced, evolving biotech environment 
• Commitment to quality, compliance, and patient safety 

The base pay range for this position is expected to be $315,000 - $340,000 annually, however the base pay offered may vary depending on location, market, job related knowledge, skills and capabilities, and experience. The total compensation package for this position also includes equity, bonus, and benefits. 

#LI-AD1

Job Summary

This Senior Full Stack Engineer engineer role in which you lead technical efforts across multiple teams or subsystems, owning system architecture and development across the stack. A Senior Software Engineer drives technical innovation, acts as a mentor and process advocate, driving improvements that scale beyond a single team. You will exercise high discretion over technical decisions and influence department-level business outcomes. Providing strong leadership within and across scrum teams to align execution with architectural vision.

Essential Duties and Responsibilities

• Proactively research, prototype, and introduce new technologies or architectural approaches that improve team or org-wide capabilities.
• Own the reliability, observability, and operational excellence of key systems—ensuring they meet or exceed defined SLAs.
• Actively mentor and sponsor engineers across levels, fostering career growth and encouraging broader technical participation.
• Continuously evolve team processes, driving scalable improvements in delivery, quality, and collaboration.
• Drive impact at the team and cross-team level.
• Provide strong technical leadership across one or more scrum teams, aligning execution with architectural vision and business goals.

Education, Experience, Knowledge, Skills, and Abilities

• 6-8 years of experience of software development experience
• Bachelor’s degree in Computer Science, Software Engineering, or related field.
• Strong proficiency in TypeScript and modern JavaScript.
• Extensive experience with React and JavaScript web development frameworks (Next.js preferred)
• Familiarity with OAuth2, JWT, and other authentication/authorization frameworks.
• Experience with CI/CD pipelines and cloud deployment platforms (Vercel, AWS, Azure, or GCP)
• Experience with ORM frameworks and relational databases (Prisma, Drizzle, PostgreSQL)
• Strong understanding of integration patterns (pub/sub, webhook, ETL, etc.).
• Excellent debugging, analytical, and problem-solving skills.

Preferred Experience

• Hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) and AI application development
• Experience building AI automation workflows with n8n or similar platforms (Make, Zapier, Temporal)
• Experience with embeddings, prompt engineering, and semantic search
• Familiarity with AI orchestration frameworks and agent-based systems

Working Conditions and Physical Requirements

The ideal candidate must be able to complete all physical requirements of the job with or without reasonable accommodation.
Sitting and / or standing - Must be able to remain in a stationary position 50% of the time
Carrying and / or lifting - Must be able to carry / move laptop as needed throughout the work day.
Environment - remote, work-from-home 100% of the time with travel to client sites

Pay Range Disclosure

At Bugcrowd, we strive for fairness, equality and to create an environment that allows our people to perform at their very best. Our compensation philosophy is to foster a collaborative community that rewards, attracts and retains the best possible talent. The provided salary details are based on US national averages and we retain the flexibility to tailor to the needs of the business.

The national estimate for the current base range for the position of Senior Full Stack Engineer is: $140,400 - $175,500.

This position may also be eligible to participate in a discretionary bonus program or commission plan, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

We're looking for a Senior Software Engineer to join the Contributory Network team within Data Acquisition - one of ZoomInfo's most strategically important initiatives.

The Contributory Network is building the platform that ingests, transforms, and processes first-party data contributed by thousands of customers through their CRM, email, and recording provider integrations. This data powers a suite of intelligence products - from competitive benchmarking and buyer committee insights to predictive market timing - that are impossible to build any other way.

This role demands a driver. We need someone who takes ownership, pushes through ambiguity, unblocks themselves and others, and relentlessly moves work forward. You won't wait for perfect specs or complete clarity - you'll carve the path, make decisions, and deliver. If you thrive when given a hard problem and the autonomy to solve it, this is your role.

What You'll Do

• Own and drive the design and implementation of large-scale data pipelines that ingest, validate, transform, and enrich first-party contributed data from CRM systems, email providers, and recording platforms
• Architect resilient ETL/ELT pipelines handling massive volumes of contact data, opportunity metadata, engagement signals, and activity patterns
• Take initiative on complex technical challenges - identify problems proactively, propose solutions, and execute with urgency
• Build streaming and batch processing systems for real-time and scheduled data flows using Kafka, Pub/Sub, Apache Beam, or similar
• Establish data quality frameworks, ensuring accuracy, consistency, and completeness across contributed data
• Define and implement observability, monitoring, and alerting for pipeline health, throughput, cost, and data quality metrics
• Drive technical design decisions and guide implementations from concept to production
• Mentor and elevate other engineers on the team through code reviews, pairing, and knowledge sharing
• Partner with product, platform, and data science teams to deliver high-impact features on tight timelines
• Influence technical direction across the Contributory Network initiative and the broader Data Acquisition organization

Must-Have Qualifications

Data Engineering & Pipelines

• 5+ years of professional software engineering experience with a strong focus on data engineering
• Proven track record of building and operating production data pipelines at scale
• Deep experience with Python and/or Java
• Hands-on expertise with data processing technologies: Apache Beam, Apache Airflow, Spark, Google Dataflow, or DataProc
• Strong experience with streaming systems (Apache Kafka, Google Pub/Sub, or similar)
• Experience with cloud platforms, preferably GCP (BigQuery, GKE, Dataflow)
• Solid understanding of data modeling, schema evolution, and data quality management
• Experience designing and operating large-scale ETL/ELT pipelines processing terabytes of data

Technical Leadership & Drive

• Demonstrated ability to drive complex technical initiatives end to end - from scoping through delivery
• Track record of operating with high autonomy and a bias toward action
• Ability to push through ambiguity, make pragmatic decisions under uncertainty, and unblock progress
• Experience influencing technical direction within a team or across teams
• Strong code review and technical mentorship skills
• Proven ability to balance quality with velocity - you ship, iterate, and improve

General

• Bachelor's degree in Computer Science, Software Engineering, or a related field
• Exceptional interpersonal skills with a proven ability to build productive cross-departmental relationships
• Strong communicator who can explain complex systems to diverse audiences
• Entrepreneurial mindset - comfortable pioneering new capabilities and wearing multiple hats

Nice to Have

• Experience with Kubernetes (GKE/EKS) for running distributed workloads
• Familiarity with multi-cloud environments (GCP + AWS)
• Experience with Snowflake, BigQuery, Starburst/Trino, or similar query engines
• Experience with Terraform or infrastructure-as-code
• Knowledge of data integration patterns with CRM systems, email providers, or recording platforms
• Exposure to AI/LLM-based data processing approaches
• Experience in a B2B data company or data-as-a-product environment
• Experience with Apache Spark at expert level

What Sets This Role Apart

This isn't a role where you maintain existing systems and wait for tickets. The Contributory Network is a greenfield strategic initiative - you'll be building foundational infrastructure that directly powers intelligence products worth six figures from consulting firms, products that literally cannot exist without the data platform you build.

We need someone who goes through walls, not around them. Someone who sees a blocker and finds a way. Someone whose default mode is action, not analysis paralysis.

Why This Role Matters

The Contributory Network is ZoomInfo's strategic moat. It's how we pull away from competitors permanently by harnessing first-party data from thousands of companies to create intelligence no other source can offer. The data pipelines you build will power performance benchmarking, buyer committee intelligence, market timing signals, verified intent scoring, and fraud prevention - all at scale.

You'll be joining at a pivotal moment: the initiative is high-visibility, the team is growing, and the opportunity to define how contributory data acquisition is done at ZoomInfo is yours to shape.

#LI-AR2

#LI-Hybrid

#LI-AW2

About the Role >>> Director, Clinical Monitoring Oversight 

As the Director, Clinical Monitoring Oversight, reporting to the Senior Director, Clinical Operations, you will provide strategic and operational leadership for global clinical site monitoring activities across Olema’s clinical programs. You will ensure that clinical monitoring – whether by internal teams, through Functional Service Providers (FSPs), or outsourced to Clinical Research Organizations (CROs) – is executed with high standards of quality and consistency while maintaining compliance with GCP regulations. You will oversee Olema’s Clinical Monitoring Oversight Leads, regional monitoring teams, and site performance. As the Director, Clinical Monitoring Oversight, you will develop and implement monitoring oversight strategies and standards for Olema’s clinical monitoring execution worldwide—driving operational excellence, data integrity, and inspection readiness across all trials with an emphasis on risk-based, data driven processes. 

This role is based out of either our Boston, MA or San Francisco, CA office and will require about travel 15% travel.  

Your work will primarily encompass: