Data Engineer, Encounters Intelligence

AcuityMD is a software and data platform that accelerates access to medical technologies. We help MedTech companies understand how their products are used, why customers vary, and identify opportunities for physicians to better serve their patients. Each year, the FDA approves ~6,000 new medical devices. Our solution helps MedTech companies get these products to physicians more effectively so they can improve patient care with the latest technology. We're backed by Benchmark, Redpoint, ICONIQ Growth, and Ajax Health. We're a high-growth AI and Data company scaling rapidly.

We are a team of agentic builders who rely heavily on AI development practices to accelerate our ability to deliver value to our customers. We believe in extreme ownership and agency, where every engineer takes responsibility for working throughout the organization to land impact with customers. We're a close-knit team that enables high levels of autonomy by constantly communicating our intentions, sharing problems and learnings, and helping each other learn and grow.

In this role, you will help lead the evolution of AcuityMD’s core healthcare data assets . You will build new data and intelligence products, improve the quality and interpretability of existing data products, and deliver high confidence and repeatable intelligence that fuels our MedTech-specific modules. You will identify new approaches and new data that improve the quality of our data assets. You will report to the Engineering Manager, Data, and work cross-functionally with engineering, product, and commercial organizations.

We are hiring for multiple levels!

Team Mission

The Data Team is on a mission to represent medical reality by transforming raw data into assets that directly generate sales for our customers and help to bring cutting edge medical technology to the patients that need it most. We thrive on the challenge of turning complexity into simplicity and driving the continuous growth of our products. We acquire terabytes of data from diverse sources, and refine them with modern data processing tools and machine learning algorithms. This shapes the future of our products and delivers value to the customers.

Responsibilities

• Transform , model, and integrate raw data of varying quality from a wide range of data sources into usable, documented and high quality data and intelligence products by applying data modeling and statistical techniques
• Identify, research, and develop new statistical approaches and new types of data to improve and extend our core healthcare data products
• Lead feature and product development cycles from defining Customer problem statements through to delivering solutions
• Work directly with product managers and cross-functional stakeholders to influence and build our Product development plans and roadmap
• Provide thought leadership on data science techniques and mentoring to junior data engineers
• Document and communicate technical and quantitative concepts, schemas, and data product usage guidelines with appropriate levels of detail for internal and external stakeholders

Your Profile

• You have 4+ years of experience working in a data science or similar role, delivering analytic models as Data Products or Data Solutions
• You have professional experience working with time series, geospatial, and/or demographic datasets to make forecasts or predictions.
• You are excited by extracting signals and information from messy, real-world datasets
• You can translate and explain technical requirements, recommendations and code clearly and concisely for non-technical audiences.
• You are opinionated about statistical techniques or Python libraries

Nice to Haves

• Familiarity across our data stack - BigQuery, Google Cloud Storage, dbt & Dagster
• Familiarity with insurance billing and other healthcare datasets
• Familiarity with incorporating large language models into development workflows

AcuityMD is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, market data and may vary from the range provided. Base salary range: $155,000-$220,000

You must have an eligible work permit in the USA to be considered for this position.

We Offer:

• Ground floor opportunity: Join a high-growth startup, backed by world-class investors across Enterprise SaaS and Medical Devices (Benchmark, Redpoint Ventures, and Ajax Health).
• Learning Budget: Reimbursements for relevant learning and up-skilling opportunities.
• Remote work: AcuityMD is committed to supporting full-remote flexibility for employees in the US. We provide a work-from-home stipend for all employees.
• Flexible PTO: Generous time off and flexible hours give you the freedom to do your best work.
• Paid Health, Dental, and Vision Plans: We offer 100% paid health, dental, and vision plans for all employees and 75% paid for our employees' dependents.
• Home Office Stipend: $1,000 to invest in remote office equipment and WiFi reimbursement.
• Optional Team Retreats: We meet in-person multiple times per year for co-working and social gatherings.
• Parental Leave: 8-16 weeks of fully-paid, flexible parental leave.

Who We Are:

The Company: We are builders, who are inspired by our mission to expand patient access to cutting-edge medical technologies. We value working collaboratively to solve hard problems for our customers with simple, innovative solutions. We push ourselves to learn with empathy. We foster an active culture of mentorship and inclusion, and we welcome new team members that share our values.

We're backed by Benchmark, Redpoint Ventures, Ajax Health, and several other leading software and medical device investors. Since Acuity launched in 2020, we've brought on customers ranging from publicly traded Fortune 500 companies to innovative growth-stage companies and regional medical device distributors.

The Product: AcuityMD uses data and software to help teams collaborate around the complex relationships they have with the users of medical technologies: doctors. Our platform empowers medical technology companies to see how their products are used, understand why outcomes vary, and identify opportunities where physicians or sites of care can better serve their patients.

AcuityMD is an Equal Opportunity Employer

AcuityMD is seeking to create a diverse work environment because all teams are stronger with different perspectives and life experiences. We strongly encourage people of all backgrounds to apply. We do not discriminate on the basis of race, gender, religion, color, national origin, sexual orientation, age, marital status, veteran status, or disability status. All employees and contractors of AcuityMD are responsible for maintaining a work culture free from discrimination and harassment by treating others with kindness and respect.

The Role

Fusion is a global electronics distributor building a modern data platform on top of a 20 year old legacy system. Palantir Foundry is a core part of that stack. We use it to deliver unified views of our customers, products, and operations, and we are leaning hard into AIP and agent driven workflows to compress delivery cycles. We are looking for a senior engineer who can work hands on in Foundry: building pipelines, ontology models, agents, and applications alongside our external Palantir consultants today, and progressively taking ownership as the platform matures.

This is an execution focused role with real autonomy. You will design and build solutions, work directly with business stakeholders, and have a voice in how the platform evolves.

What You’ll Do

• Build and maintain data pipelines: Design, build, and optimize batch and streaming pipelines in Foundry (Pipeline Builder with AI assist, Code Repositories, Code Workbook) that ingest data from internal and external source systems.
• Develop ontology models: Create and maintain ontology objects, relationships, link types, functions, and actions that represent business domains and power downstream applications, agents, and AIP workflows.
• Build AI native experiences with AIP: Use AIP Logic to compose AI driven functions, AIP Agent Studio to stand up domain agents, and AIP Threads or AIP Assist to embed conversational interfaces into Workshop apps. Use AIP Evals to validate prompt and agent behavior before promotion to production.
• Leverage AIP Analyst and FDE AI for delivery acceleration: Use AIP Analyst for ad hoc analytical work directly against the ontology, and lean on FDE AI and Solution Designer to scaffold ontology objects, pipelines, and starter applications. Refine the AI generated output, harden it for production, and bring it under proper change control.
• Deliver Foundry applications: Build and iterate on Workshop, Quiver, and Contour applications that give sales, operations, and leadership actionable views of the business, including embedded agentic actions and write back through Ontology Actions.
• Work alongside external consultants: Collaborate closely with our Palantir implementation partners to understand existing designs, validate data flows, and progressively take on more of the day to day Foundry work.
• Connect Foundry to the broader data platform: As the data modernization team builds out medallion layer domain stores and DBT based pipelines on Azure, help align Foundry’s ontology and ingestion paths so the platform can transition from legacy sources to the new architecture cleanly.
• Integrate with external systems: Build and maintain OSDK based integrations and APIs that connect Foundry to internal services and third party platforms.
• Engage stakeholders directly: Gather requirements from business teams, demo solutions, train end users, and incorporate feedback into iterations.
• Ensure data quality and observability: Implement validation, lineage tracking, health checks, and monitoring within Foundry pipelines. Build automated data quality checks, including AIP assisted ones, to keep data accurate and reliable.
• Apply AI tooling to your own workflow: Use AIP and AI assisted development practices to accelerate pipeline work, code review, and documentation.

What You Bring

Data Engineering Foundations

These are the bedrock skills we expect every senior data engineer on this team to have, regardless of platform. Foundry is the surface; these are the muscles underneath.

• 7+ years building production data pipelines in modern stacks.
• Strong SQL, including window functions, CTEs, set operations, and query optimization on large datasets. You can read an execution plan and explain the cost.
• Solid grasp of dimensional modeling (Kimball, star schema), Data Vault, or equivalent. You can defend a modeling choice with reasoning, not dogma.
• Experience designing for slowly changing dimensions, idempotent loads, late arriving data, backfills, and incremental processing.
• Proficiency in Python, including PySpark and pandas for transformation work.
• Working knowledge of the Spark execution model: partitioning, shuffles, skew, broadcast joins, and tuning.
• Experience with ETL and ELT patterns, CDC pipelines, and workflow orchestration.
• Familiarity with modern transformation frameworks such as DBT, including tests, documentation, snapshots, and incremental materializations.
• Understanding of columnar formats (Parquet, Delta, Iceberg), table formats, and partitioning strategies.
• Practical experience implementing data quality frameworks, data contracts, and SLAs between producers and consumers.
• Comfort with Git workflows, code review, branching strategies, and CI/CD for data platforms.

Palantir Foundry and AIP

• 2+ years hands on Palantir Foundry experience with delivered work you can describe in detail.
• Strong knowledge of core Foundry capabilities: Ontology Manager, Ontology Functions and Actions, Pipeline Builder, Code Repositories, Code Workbook, Workshop, Builds, and platform security (branching, resource allocation, rollbacks).
• Experience with Foundry analytical and integration tools: Quiver, Contour, OSDK, and Marketplace products.
• Hands on experience with AIP for augmenting data workflows: AIP Logic, AIP Assist and Threads, and AIP assisted Pipeline Builder.
• Familiarity with newer AIP surfaces is a strong plus: AIP Agent Studio, AIP Analyst, FDE AI and Solution Designer, AIP Evals, and Automate.
• Understanding of how to evaluate, guardrail, and version AI driven functions and agents in a production context.

Cloud, Architecture, and Stakeholder Skills

• Proficiency with Azure data services, or equivalent depth in AWS or GCP with willingness to work in Azure.
• Solid understanding of data modeling across relational, analytical, and document paradigms.
• Ability to translate business requirements into technical designs and explain trade offs to non technical stakeholders.
• Self directed work style. You identify what needs doing and get it done without waiting for direction.

Nice to Have

• Production experience with DBT on Azure (Synapse, Fabric, or Databricks).
• Experience with medallion architecture (Bronze, Silver, Gold) or lakehouse patterns on Databricks, Snowflake, or equivalent.
• Experience evaluating LLM powered features: prompt design, eval harnesses, hallucination guardrails, and cost or latency tuning.
• Experience building or operating real time pricing, recommendation, or scoring engines.
• Familiarity with electronics distribution, supply chain, or ERP data, particularly Dynamics GP and Great Plains.
• Background in domain driven design or microservices architecture.
• TypeScript or C# for OSDK consumers and downstream services.
• Exposure to CRM, payment, or logistics API integrations.

Why Fusion

• Greenfield meets legacy: You’ll help build a modern data platform while keeping a 20 year business running. Real engineering problems, not toy projects.
• Real impact, small team: A lean team where your work is visible and your judgment matters. No layers of approval.
• AI first engineering culture: We use AIP and AI tooling aggressively. One engineer with the right tools does the work of three.
• Global scale: Fusion operates across the US, Singapore, and Hong Kong. The platform serves users worldwide.

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 role

Starburst is looking for an experienced Staff Software Engineer to sit at the intersection of software engineering and data engineering — building the internal platforms, pipelines, and data products that power how we understand our customers and our business. You'll work across Starburst Enterprise and Starburst Galaxy, using our own technology to solve real problems at scale, while also contributing software that other teams depend on.

Because data engineers are one of our primary target personas, you'll bring a uniquely valuable perspective: you'll use our products daily and feed that experience directly back into how we build and improve them. You'll work closely with a dynamic, talented, globally distributed team, writing production-quality software alongside building reliable data systems — with a consistent emphasis on quality, maintainability, and speed to insight.

As a Staff Software Engineer at Starburst you will:

• Design, build, and operate a high-quality data lake and the software systems that feed it, supporting product management, finance, customer support, and engineering
• Write production-grade software — services, APIs, tooling, and automation — that enables data workflows and integrations at scale
• Find innovative ways to use Trino and Starburst to solve complex data management and software architecture challenges
• Collaborate with technical leads, product managers, and data analysts to build robust data products and analytics
• Leverage AI to democratize access to datasets for users throughout Starburst, including building and maintaining the software infrastructure that makes this possible
• Enable dataset preparation and model evaluation for Starburst's AI projects
• Define and evolve engineering processes and best practices that span both software and data domains, with a focus on reliability and actionable results
• Work closely with leaders across teams to iterate on data architecture and the software systems that implement it, keeping quality high at every layer
• Identify emerging patterns in data management and software engineering, and work with Starburst's product teams to bring those innovations to market

Some of the things we look for

• A Trino enthusiast looking to push the bounds in an AI future
• At least 7 years of combined experience in software engineering and/or data engineering, with genuine depth in both
• Strong software engineering fundamentals: writing clean, testable, well-reviewed code in Java, Python, or Scala
• Experience building and optimizing data pipelines using Trino, Spark, dbt, and related frameworks
• Experience designing and building backend services, APIs, and data platform components
• Experience managing data and application infrastructure in public clouds, particularly AWS (EMR, EC2, S3, IAM); multi-cloud experience (GCP/Azure) is a plus
• Experience using and managing orchestration frameworks such as Apache Airflow or Dagster
• Knowledge of RAG and other design patterns for AI-powered applications
• Fluency in SQL and comfort moving between SQL and general-purpose programming as the task demands
• Experience building API integrations for extracting data from third-party sources
• Knowledge of data modeling techniques appropriate for modern data lakes
• Proficiency with Configuration-as-Code and Infrastructure-as-Code tools such as Pulumi, Terraform, and/or Ansible
• A track record of shipping reliable software and data systems on time, with disciplined practices around testing, code quality, and review
• Strong written and verbal communication skills, with the organizational ability to coordinate across teams

Where could this role be based?

• San Francisco, US

Position Overview:

We’re looking for a Senior Data Implementation Engineer to help lead and accelerate Acadian’s data transformation efforts. This role is central to reimagining and rebuilding our data platform so that we can continue to scale our investment research, production data workflows, and operational capabilities in a rapidly evolving landscape.

You’ll be hands-on in designing and implementing modern data pipelines and platform capabilities using tools such as Apache Arrow, Polars, Dagster, and other emerging technologies. You’ll also help shape how we use AI-assisted development tools, such as Claude & ChatGPT, and related automation approaches, to improve the speed, quality, and maintainability of data pipeline development.

This is a senior engineering role for someone who can operate across both strategy and execution: deeply understanding existing systems, designing pragmatic transition paths, mentoring others, and building reliable, scalable, high-performance data infrastructure that directly supports Acadian’s quantitative investment process.

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

What You’ll Do

• Lead Data Pipeline Design and Implementation
  • Design, build, and optimize robust data pipelines that are reliable, scalable, observable, and performant. Use modern data engineering tools and patterns to support investment research, production workflows, and downstream analytics.
• Drive System Modernization
  • Deeply understand existing data systems, identify architectural limitations, and lead the transition toward more modern, maintainable, and efficient data architectures.
• Shape Technical Direction
  • Partner with Data Platform Engineering, Data Analysis, and investment teams to define implementation patterns, pipeline standards, and architectural approaches that can scale across the organization.
• Apply AI Tooling to Engineering Workflows
  • Use AI-assisted development tools such as Claude, ChatGPT, or similar technologies to accelerate pipeline development, automate repetitive workflows, improve documentation, generate tests, and enhance developer productivity.
• Mentor and Lead Others
  • Provide technical guidance to junior and mid-level engineers. Help raise the engineering bar through code reviews, design discussions, pairing, documentation, and thoughtful mentorship. Lead small project teams or workstreams when needed.
• Improve Reliability and Operational Excellence
  • Develop systems with strong testing, monitoring, lineage, data quality checks, and operational supportability. Help ensure that data pipelines are resilient, transparent, and easy to maintain.
• Collaborate Across Teams
  • Work closely with stakeholders across technology, data, research, and investment teams to understand requirements, resolve ambiguity, and deliver solutions that create measurable business value.
• Continuously Improve the Platform
  • Identify opportunities to simplify, automate, and improve the data ecosystem. Champion practical innovation while balancing speed, stability, maintainability, and long-term architectural quality.

We’re Looking for Teammates With

• Bachelor’s degree in a relevant field

• A strong background in data engineering, data platform implementation, or data-intensive software engineering, ideally with 5+ years of experience in a financial, investment, or technology-driven environment.
• Deep experience building production-grade data pipelines, including ingestion, transformation, validation, orchestration, monitoring, and deployment.
• Strong Python programming skills, with relevant experience working with Dagster, Airflow or similar technologies.
• Experience with modern data architecture patterns such as data lakehouse, Medallion architecture, composable data systems, microservices, and event-driven or workflow-oriented architectures.
• Familiarity with Data Mesh concepts, including decentralized data ownership, domain-oriented data products, governance, and discoverability.
• Experience with orchestration, workflow, and data transformation tools such as dbt, Polars, Pandas, Apache Arrow, or comparable technologies.
• Practical experience using AI-assisted development tools such as Claude, ChatGPT, GitHub Copilot, or similar platforms to support data pipeline development, automation, testing, documentation, and engineering productivity.
• Demonstrated ability to mentor engineers, lead technical workstreams, and influence engineering practices across a team.
• A strong sense of ownership and the ability to operate effectively in ambiguous environments, balancing tactical delivery with long-term architectural thinking.
• A passion for building systems that are efficient, scalable, reliable, observable, and easy for others to use.
• An understanding of how data infrastructure supports the broader investment process, and a desire to deliver solutions that improve outcomes for clients and create meaningful business impact.

The base salary range for this role is $175,000 – $200,000 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.

Software Engineer II - Analytics Data Engineering | AI & Analytics Data Enablement

Location: Boston, MA

About the Role

Data is the lifeblood of Klaviyo. As a Data Engineer on this team, you will sit at the intersection of infrastructure and intelligence. You won’t just be moving data; you’ll be building the foundations that power our next generation of AI-driven features and enterprise-scale analytics.

You will bridge the gap between data engineering and product impact. Your work will involve developing scalable Spark pipelines, tuning our storage and query patterns to ensure low-latency performance for our enterprise customers, and modeling the high-impact datasets that drive Klaviyo's analytics and machine learning engines.

What You’ll Do

• Build Production-Grade Foundations: Develop and maintain scalable data pipelines and core tables using PySpark, Airflow, and dbt. You will implement the foundational datasets that power our AI, ML, and Analytics products.
• Optimize for Enterprise Performance: Tune Spark jobs and storage patterns to ensure low-latency data retrieval. You will help implement materialized views and efficient partitioning strategies to support high-performance reporting at scale.
• Treat Data as a Product: Contribute to the full lifecycle of datasets. This includes defining clear data contracts with upstream teams, writing maintainable code via peer reviews, and ensuring every asset is well-documented and trusted by downstream users.
• Drive Operational Excellence: Ensure the reliability of our data engine by monitoring for freshness, volume anomalies, and schema changes. You will be responsible for ensuring that when a customer loads a dashboard, the data is accurate and on time.
• Partner Cross-Functionally: Collaborate with Product, Engineering, and AI/ML teams to define consistent metrics that align with business goals. You will act as a bridge to ensure new features land with robust data support.
• Innovate with AI: Look for opportunities to put AI at the center of your workflow, whether it is using AI to generate tests, detect data anomalies, or accelerate complex analysis.

Who You Are

• The Experience: 2+ years of experience in data engineering or a data-intensive software engineering role. You’ve moved past the "beginner" phase and are comfortable taking a project from a design doc to a production deployment.
• Fluent in SQL and Python: You have a solid grasp of SQL for high-performance querying and are comfortable using Python for data manipulation and automation. You focus on writing code that balances speed with reliability.
• Distributed Systems Knowledge: You have hands-on experience with Spark (PySpark/SparkSQL) and understand how to tune jobs for performance in a cloud environment (AWS/EMR).
• Modeling Intuition: You understand the difference between a "raw table" and a "semantic layer." You’ve worked with modern modeling tools (like dbt) and understand partitioning, schema evolution, and lakehouse concepts (Iceberg/Delta).
• Performance Minded: You care about latency. You enjoy the challenge of making a query run faster and understand how to use materialized views and caching effectively.
• Collaborative & Curious: You’re an inclusive collaborator who enjoys working with Product and Data Science. You’re excited to experiment with AI tools to make your own engineering workflow more efficient.

Nice to Haves

• Experience with Iceberg table maintenance and compaction.
• Exposure to Terraform or other Infrastructure-as-Code tools.
• A background in Martech or SaaS platforms dealing with high-frequency event data.
• Experience building data products that directly power customer-facing UI components and/or support AI/ML features.
• Experience building near real-time or streaming pipelines for user-facing analytics or monitoring.
• Hands-on work with analytics engineering tools and practices (e.g., dbt, metrics layers, semantic models).
• Familiarity with statistical modeling and machine learning.

We are looking for a Staff Security Software Engineer who is passionate about detecting and mitigating abuse in the Cloud. 

As a Staff Security Software Engineer at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. This role reports to the Senior Manager of Security Engineering within the Security organization. You should have experience developing and maintaining software systems in a complex, high-scale environment, analyzing outcomes and communicating insights to stakeholders, and rapidly devising solutions that are in alignment with overall business goals. Our team is focused on enabling DigitalOcean to scale safely by building systems that detect and prevent abuse on our platform. We highly value collaboration and growth, and work closely with other teams in the Security organization to deliver high quality solutions and also build tooling to boost their efficiency.

Our customers trust us with their data and operations, and we take that responsibility seriously. Security at DO means solving highly complex problems on a large scale that have real impact for our customers, our products, and for the larger internet community.

What You’ll Do:

• Design, develop, and deploy resilient services and tooling that provide security capabilities at scale, primarily in Go, with some work in Javascript and Python.
• Research and design automated approaches to detecting and actioning abuse and misuse of DigitalOcean products and services.
• Work with product and engineering teams to design and implement secure architectures.
• Design and build internal tools that enable our Security Operations Center to do more, faster.
• Measure the efficacy of our services and tools, using logs, metrics, and audit records, to drive reporting and decision-making, leading to iterative and transformative security improvements as DigitalOcean scales. All while being mindful that security should be an efficiency enabler for the business, not an obstacle.

What You’ll Add to DigitalOcean:

• 8+ years of hands-on experience in software engineering projects, ideally with a security focus, in a complex, high-scale SaaS or IaaS environment. You are an expert in writing robust code with good test coverage and demonstrated success in delivering projects.
• Understanding of cloud-native services and infrastructure provisioning (e.g. compute, storage, networking).
• Deep familiarity with cloud services & infrastructure—compute, storage, network, managed services—and related abuse tactics, including DDoS, spamming, phishing, cryptomining, and bot networks.
• Strong analytical and reporting skills, with proficiency in SQL and data warehouse querying (e.g., Snowflake, Redshift, BigQuery)
• A customer-first mindset—you aim to maximize abuse prevention while avoiding false-positives that could impact high-value customers.
• Excellent communication and documentation skills; you can clearly articulate patterns, mitigation strategies, and tradeoffs to both technical and non-technical stakeholders. You have a record of partnering with internal engineering teams and non-technical stakeholders to gather requirements and tackle security problems across an entire stack with empathy and creativity.
• High integrity, strong judgment, and a track record of working independently on high-impact investigations and policy decisions.

Bonus qualifications:

• Experience with microservice architectures, asynchronous and event-driven processing, and synchronous gRPC/HTTP-based requests.
• Experience in building secure by default services and applications.
• Familiarity with technologies such as gRPC, Docker, Elasticsearch, Prometheus/VictoriaMetrics, Kubernetes, and GitHub Actions.
• Experience with Looker, Snowflake, dbt, and Airflow

Compensation Range: 

• $166,400 - $208,000

*This is a remote role

#LI-Remote

We are building an AI-native Data Cloud and need a VP of Engineering who owns architecture, execution, and business outcomes end-to-end. The buck stops with this role for platform reliability, developer experience, and Data Cloud adoption.

DigitalOcean’s Data Cloud will power AI applications end-to-end—from data ingestion to real-time inference—enabling developers to build production-grade RAG systems, AI agents, and analytics workflows on a single, integrated platform. This role is responsible for delivering that platform by leveraging and extending DigitalOcean’s existing infrastructure, PaaS, and AI capabilities.

This is not a traditional data platform role. You will define and execute the strategy to move DigitalOcean up the stack—from infrastructure provider to a differentiated AI application and inference platform. Success will be measured through roadmap velocity, system reliability, developer adoption, and measurable business impact.

We are looking for a leader who translates strategy into shipped systems, with clear accountability for outcomes.

What You’ll Do:

Data Cloud Platform

Architecture and delivery of a unified platform spanning:

• Ingestion (connectors, CDC, streaming)
• Storage (object, OLAP, vector, graph)
• Processing (ELT pipelines, real-time and batch)
• Query & analytics (SQL, hybrid search, RAG)
• Governance (catalog, lineage, versioning, access control)

AI-Native Capabilities

• Knowledgebase-as-a-Service (RAG pipelines)
• Vector and hybrid retrieval systems
• Feature and embedding pipelines
• Real-time inference data paths

Product & Execution

• Deliver GA-grade services with strong SLAs, cost efficiency, and simplicity
• Drive roadmap aligned to Digital Native Enterprise (DNE) customers
• Establish and manage clear metrics: adoption, retention, ARPU, performance, reliability

Organizational Leadership

• Build and scale a high-performing global organization (US and India)
• Implement single-threaded ownership (STO) across services
• Partner deeply with Product, GTM, and Platform Engineering

What Success Looks Like (12 months)

• Launch a cohesive Data Cloud platform—not a collection of fragmented services
• Achieve meaningful adoption across AI-native workloads (RAG, inference, analytics)
• Reduce developer time-to-value from weeks to hours
• Establish clear differentiation versus hyperscalers on simplicity and cost

What You’ll Bring:

• Proven track record of building and operating cloud-scale data platforms (OLAP, lakehouse, streaming, or ML systems), with strong architectural judgment across storage, processing, and query layers
• Experience integrating open-source ecosystems (e.g., Spark, Airflow, dbt) into managed cloud services at scale
• Experience with AI/ML data pipelines (feature stores, embeddings, RAG)
• Demonstrated ability to operate in ambiguity, make high-quality decisions with incomplete data, and drive multi-quarter execution with measurable outcomes
• Proven experience scaling engineering organizations and delivering under real-world constraints

Critical requirement:
You have personally driven complex distributed systems from concept to production—not just managed teams that did.

Why This Role Matters

The Data Cloud is the control plane for AI applications. If DigitalOcean gets this right, it becomes the platform where developers build and scale intelligent applications—not just where infrastructure runs. If not, it remains an interchangeable infrastructure.

Compensation Range: 

• $279,200.00 - $349,000

*This is a remote role

JR: 2026-7683

#LI-Remote

Who We Are

Amae Health is a Series B, venture-backed Public Benefit Corporation that delivers specialty outpatient care for people living with severe mental illness, including schizophrenia, schizoaffective disorder, bipolar I disorder, and treatment-resistant depression. We design and operate high-acuity, in-person clinics across the United States.

Our model integrates psychiatry, therapy, primary care, dietitians, and community health workers under one roof to deliver coordinated, longitudinal care for a population that has historically been fragmented across systems.

Leading health systems collaborate with Amae to bring this model to their communities, including Mass General Brigham, New York-Presbyterian, Cedars-Sinai, Novant Health, and CommonSpirit Health.

Why We Are Different

• Integrated care, not a referral network. Psychiatrists, therapists, primary care providers, dietitians, and community health workers work side-by-side and share responsibility for the same patients.
• Practice at the top of your license. Manageable caseloads, meaningful clinical depth, and purpose-built tools designed for this population.
• Continuous learning. Through our collaboration with Mass General Brigham, clinicians receive ongoing training, supervision, and mentorship in evidence-based SMI care.
• Advancing the field. Our clinicians contribute to new outcomes frameworks and research shaping the future of severe mental illness care.
• A model built for sustainability. Team-based care, thoughtful caseloads, and strong infrastructure make this work meaningful—and sustainable over time.

The Role

We are hiring a Mental Health Therapist to join our soon-to-open Boston, MA clinic, as part of an interdisciplinary team dedicated to delivering personalized, compassionate, high-quality care for individuals with SMI. As an Amae Health employee, this role will deliver care in a clinic owned and operated by Massachusetts General Hospital (MGH).

What You Will Work On

• Provide individual and group therapy to a panel of complex SMI patients
• Provide continuous, regular support as patients navigate recovery, both in person and occasionally virtually
• Deliver evidence-based care in a holistic, wrap-around care model
• Collaborate with patient care teams and behavioral health providers to ensure an integrated, cohesive approach to care
• Address medical needs to mitigate negative impacts of social determinants of health
• Provide consultation to therapists on the treatment team, including licensed therapists and trainees; assist with program development

What You'll Have

• Active Licensed Psychologist in Massachusetts, LICSW, LMHC, LMFT, or LPC license in the state of Massachusetts with active NPI and Medicaid/Medicare enrollment required. Associate level welcome to apply with onsite supervision available
• Thrives in a collaborative team environment and establishes positive relationships with other medical professionals
• Experience and interest in working with adults and at least 1 year of experience working with patients with severe mental illness
• Experience in evidence-based interventions, including CBT, DBT, or MI
• Ability to navigate challenging situations with professionalism
• Thorough understanding of confidentiality and appropriate documentation standards
• Technologically savvy, with the ability to learn and navigate new tools and technologies
• Highly organized with the ability to work autonomously
• Strong listening skills and excellent verbal communication capabilities

What We're Building

As a clinician at Amae, you are not adjacent to this work. You are essential to it.

• A national care delivery model for the highest-acuity patients in behavioral health.
• Precision medicine for SMI. Individualized treatment informed by multimodal clinical, behavioral, and social data.
• A clinical operating system that puts longitudinal data, real-time patient signals, and purpose-built tools into a single decision layer for care teams.
• Frontier science and measurement: defining and validating the outcomes frameworks that this field has never had. Hospitalizations avoided, days stable, functional improvement, and more.
• A collaboration model with the country's leading health systems that proves coordinated SMI care can work at scale.

Compensation & Benefits

Amae Health is committed to fair and equitable compensation practices. Base salary range for this role is $65,000–$100,000 per year based on a full-time schedule. Comprehensive medical, dental, and vision coverage. Parental leave and programs built around well-being. We'll share specifics during the interview process.

If you want to practice at the top of your license, learn from the best in academic medicine, contribute to research that is defining a new field, and do it all inside a team that was actually built for this work, we'd like to talk.

Who We Are

Amae Health is a Series B, venture-backed Public Benefit Corporation that delivers specialty outpatient care for people living with severe mental illness, including schizophrenia, schizoaffective disorder, bipolar I disorder, and treatment-resistant depression. We design and operate high-acuity, in-person clinics across the United States.

Our model integrates psychiatry, therapy, primary care, dietitians, and community health workers under one roof to deliver coordinated, longitudinal care for a population that has historically been fragmented across systems.

Leading health systems collaborate with Amae to bring this model to their communities, including Mass General Brigham, New York-Presbyterian, Cedars-Sinai, Novant Health, and CommonSpirit Health.

Why We Are Different

• Integrated care, not a referral network. Psychiatrists, therapists, primary care providers, dietitians, and community health workers work side-by-side and share responsibility for the same patients.
• Practice at the top of your license. Manageable caseloads, meaningful clinical depth, and purpose-built tools designed for this population.
• Continuous learning. Through our collaboration with Mass General Brigham, clinicians receive ongoing training, supervision, and mentorship in evidence-based SMI care.
• Advancing the field. Our clinicians contribute to new outcomes frameworks and research shaping the future of severe mental illness care.
• A model built for sustainability. Team-based care, thoughtful caseloads, and strong infrastructure make this work meaningful—and sustainable over time.

The Role

We are hiring a Psychologist to join our soon-to-open Boston, MA clinic, as part of an interdisciplinary team dedicated to delivering personalized, compassionate, high-quality care for individuals with SMI. As an Amae Health employee, this role will deliver care in a clinic owned and operated by Massachusetts General Hospital (MGH).

What You Will Work On

• Provide individual and group therapy to a panel of complex SMI patients
• Provide continuous, regular support as patients navigate recovery, both in person and occasionally virtually
• Deliver evidence-based care in a holistic, wrap-around care model
• Collaborate with patient care teams and behavioral health providers to ensure an integrated, cohesive approach to care
• Address medical needs to mitigate negative impacts of social determinants of health
• Provide consultation to therapists on the treatment team, including licensed therapists and trainees; assist with program development

What You'll Have

• Active Licensed Psychologist in Massachusetts, with active NPI and Medicaid/Medicare enrollment required
• Thrives in a collaborative team environment and establishes positive relationships with other medical professionals
• Experience and interest in working with adults and at least 1 year of experience working with patients with severe mental illness
• Experience in evidence-based interventions, including CBT, DBT, or MI
• Ability to navigate challenging situations with professionalism
• Thorough understanding of confidentiality and appropriate documentation standards
• Technologically savvy, with the ability to learn and navigate new tools and technologies
• Highly organized with the ability to work autonomously
• Strong listening skills and excellent verbal communication capabilities

What We're Building

As a clinician at Amae, you are not adjacent to this work. You are essential to it.

• A national care delivery model for the highest-acuity patients in behavioral health.
• Precision medicine for SMI. Individualized treatment informed by multimodal clinical, behavioral, and social data.
• A clinical operating system that puts longitudinal data, real-time patient signals, and purpose-built tools into a single decision layer for care teams.
• Frontier science and measurement: defining and validating the outcomes frameworks that this field has never had. Hospitalizations avoided, days stable, functional improvement, and more.
• A partnership model with the country's leading health systems that proves coordinated SMI care can work at scale.

Compensation & Benefits

Amae Health is committed to fair and equitable compensation practices. Base salary range for this role is $125,000–$155,000 per year based on a full-time schedule. Comprehensive medical, dental, and vision coverage. Parental leave and programs built around well-being. We'll share specifics during the interview process.

If you want to practice at the top of your license, learn from the best in academic medicine, contribute to research that is defining a new field, and do it all inside a team that was actually built for this work, we'd like to talk.

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)

About the Company:

About the Role:

Octave is hiring Licensed Clinicians to work within an organizational structure to provide high-quality behavioral health care to our clients. Octave Clinicians will join a diverse clinical team in providing therapy in a collaborative, client-centered, evolving environment. Octave Clinicians demonstrate strong clinical service thinking, informed by evidence-informed therapies. It is our effort to drive quality access and customize mental health treatment plans and service delivery for our clients. You will treat adult clients with stress, depression, anxiety, or other mental health concerns via video, using short-term, evidence-based therapies. Candidates must be licensed in Massachusetts at the master's or doctoral level, well-versed in evidence-based therapies, like CBT or DBT, and an expert in the delivery of culturally responsive care.

We are seeking out Licensed Clinicians who are willing to work both in-person and remotely, but an office space is required to start. As a Clinician with Octave, you will be able to build out a caseload that gives your clients the option to see you virtually or in-person. It is required that you already have a commercial clinical space that you can operate from to see clients in person through Octave. At this time, we are not providing an office space within the state of Massachusetts. You can see clients in person from your home office or commercial office setting.

You are a good fit if you are:

• Passionate about expanding access to high-quality mental health care.
• Skilled at providing short-term, evidence-based therapies to a diverse range of adult clients.
• Adept at building and maintaining a strong therapeutic alliance.
• Willing to deliver feedback-informed care using standardized measures.
• Expert at providing culturally responsive and culturally competent care.
• Open to learning from your colleagues and clients.
• Someone who thrives in a culture of thoughtful feedback and transparency.

Qualifications:

• LMFT, LMHC, LICSW, PsyD
• Current License in Massachusetts.
• Master’s Degree or higher from an accredited school of Social Work, Psychology, Counseling or Marriage, or Family and Child Counseling.
• Must be licensed and in good standing with your governing licensing board.
• Preferred 1 year of related post-license clinical experience required. 
• At least 2 years of experience preferred in one or more of the following areas:
  • CBT for depression or anxiety
  • DBT for emotion dysregulation
  • Unified Protocol for emotional distress
  • CPT or PE for trauma
• Must have your own office space and are willing to provide in-person services in the Boston area.

Octave's Company Values: 

The below values drive our day-to-day operations.

• We’re human beings first. We operate with empathy and kindness – with our clients, with our collaborators, and with ourselves.
• People deserve better than status quo. We’re willing to tackle the intractable problems, no matter how big, because someone should. We ask big questions, we craft big solutions, and we challenge ourselves and others to make it happen.
• No bystanders. No stars. No tourists. Each person has been selected to be here, and with that comes a responsibility to bring your expertise, share your ideas, and help make this company better.
• Partnership paves the path ahead. We don’t operate in a silo, internally or externally. To transform the system, we believe in working with others to create something bigger, better, and stronger.
• Quality is crucial at scale. Quality is core to our business, and we refuse to sacrifice it as we grow.
• Progress is a process. In the pursuit of progress, we iterate, reflect, learn, adjust – and always leave things better than we found them.
• There are people behind every data point. We recognize that numbers tell only one part of the story, and we also do the work to understand impacts at the individual level.

Physical Requirements: 

• Prolonged periods sitting at a desk and working on a computer. 
• Must be able to frequently communicate with others through virtual meeting applications such as Zoom and Google Meet. 
• Must be able to observe and communicate information on laptop. 
• Move up to 10 pounds on occasion. 
• Must be eligible to work in the United States without sponsorship now or in the future.
• Octave’s policy requires that all clinical sessions be conducted while you are physically located in the United States.

System Requirements: 

• Computers that are Mac OS (Ventura or later) and Windows OS (10/11)
• Computers kept up with the most recent security updates
• An unmanaged device (a device not provided to you by another company/organization)

Compensation: 

Starting pay for qualified applicants will depend on a combination of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected salary range for this role is set forth below and this range may be modified in the future.

The hourly compensation range for this role is listed below dependent on licensure:

In-Person Rates: 
$83-$133/hour for master's level license.
$93-$143/hour for doctoral level license.

Virtual Rates: 
$80-$130/hour for master's level license.
$90-$140/hour for doctoral level license.

How We Use Technology in Hiring:

As part of our hiring process, we may use technology tools, including AI-supported systems, to assist with reviewing applications or documenting interviews. These tools are designed to support our team, not replace human judgment, and final hiring decisions are always made by our team.

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

Senior Software Engineer, AI & Analytics Data Enablement

Location: Boston, MA

As a Senior Software Engineer on Klaviyo’s AI & Analytics Data Enablement team, you’ll build and own the data foundations that power our Analytics & AI engine. You’ll design resilient pipelines and analytics models that turn billions of events and domain objects into trusted, actionable insights for Analytics and AI product features. “Your work will help our customers understand the performance of their marketing and power AI & Analytics experiences for our customers.”

About the Role

You’ll join a cross-functional R&D team focused on the availability, quality, and usability of AI and Analytics data for our customers. In this Senior-level role, you’ll lead complex software and data engineering projects across multi-component systems, from shaping requirements to design, implementation, and long-term operation. You’ll be a go-to expert for AI and analytics data, collaborating with product managers, AI, analytics, and other engineering teams to ensure our data is accurate, observable, and ready to drive insights and enable AI/ML products at scale.

You’ll also help evolve our technical standards for data engineering, raising the bar on data modeling, performance, and reliability, while mentoring other engineers on best practices and modern data tooling.

What You’ll Do

Lead the design and implementation of robust, scalable data pipelines and core tables for Klaviyo. These pipelines are crucial for powering customer facing analytics features and powering AI models to unlock the next stage of Klaviyo's products

Partner with Product, Engineering, and AI/ML teams to define clear, consistent metrics and data contracts that align to business goals and product outcomes.

Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up for example, using AI to generate tests, detect anomalies, summarize data issues, or accelerate analysis.

Mentor other engineers in data engineering best practices, code quality, observability, and system design; contribute to shared libraries, patterns, and tooling that improve developer velocity across R&D.

Who You Are

6+ years of software engineering with at least 4 or those being data engineering experience, with a strong track record building and operating data pipelines and analytics models in production.

Deep proficiency in large-scale SQL and data modeling for analytics. 

Strong programming skills in a modern language commonly used for data engineering (e.g. Python), and familiarity with orchestration and transformation tooling (e.g., Airflow, EMR, Spark/pyspark, or equivalents).

Experience working with modern data platforms (e.g., columnar data warehouses, object storage) and processing frameworks (batch and/or streaming).

Demonstrated ability to lead complex projects spanning multiple components and engineers—driving clarity, making tradeoffs, and delivering measurable impact on reliability, performance, or business outcomes.

Comfortable owning systems in production: you think about observability, incident response, incremental rollouts, and long-term maintainability as part of the design.

Excellent communication skills; you can explain data tradeoffs and constraints to non-technical partners and influence decisions with clear reasoning.

You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.

Inclusive, low-ego collaborator who values diverse perspectives and is motivated by helping the team succeed, not just shipping your own code.

Nice to Haves

Experience in a product-led SaaS environment with large-scale event data

Experience in a customer facing data engineering role supports AI/ML features and Analytics Dashboards.

Hands-on work with analytics engineering tools and practices (e.g., dbt, metrics layers, semantic models).

Experience building near real-time or streaming pipelines for user-facing analytics or monitoring.

Domain experience in martech, marketing automation, or customer engagement platforms.

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

About the Position

We're looking for a Data Engineer to join the Scientific Data Intelligence (SDI) team at Formation Bio to help build and scale the data infrastructure that powers our drug development platform. In this role, your primary focus will be supporting the Data Science team — building the coherent, well-structured data models, feature engineering pipelines, and evidence layers that underpin their scientific work. You'll also be responsible for ingesting data from a wide variety of sources—APIs, files, databases, and licensed third-party datasets—and transforming it into clean, analytics-ready assets using modern data tooling.

This is a foundational engineering role for someone who takes pride in building things right: reliable pipelines, well-structured data models, and systems that others can trust and build on. You'll work closely with Data Scientists and other engineers across the SDI team to ensure that high-quality data is consistently available where and when it's needed — and structured in a way that directly accelerates scientific discovery.

The ideal candidate is deeply fluent in Snowflake and dbt, has strong opinions about data modeling best practices, and has experience handling large and complex datasets across diverse ingestion patterns. You thrive in environments where data quality and engineering rigor are treated as first-class concerns.

Responsibilities

• Partner closely with Data Scientists and other teams to build coherent data models, feature engineering pipelines, and structured evidence layers that directly support scientific analysis and machine learning workflows.
• Design and build scalable ingestion pipelines to onboard data from diverse sources including REST APIs, flat files, relational databases, and licensed third-party datasets.
• Develop and maintain robust data models in dbt, adhering to best practices around modularity, testing, documentation, and layered architecture (staging, intermediate, mart).
• Orchestrate pipelines using Dagster to ensure reliable, observable, and maintainable workflows.
• Implement data quality checks, validation frameworks, and monitoring to ensure trustworthiness of datasets across the platform.
• Collaborate with Data Scientists and analysts to understand data needs and translate them into well-structured, reusable models.
• Handle large-scale data movement and transfer scenarios, applying appropriate tooling and patterns to ensure efficiency and reliability at scale.
• Document data models, pipeline logic, and transformation assumptions to support discoverability and data governance.

About You

• You have 5+ years of experience in data engineering, with a strong track record of building and maintaining production-grade pipelines.
• You are deeply fluent in dbt and follow best practices rigorously—including modular model design, sources and refs, testing (schema + data), documentation, and environment management.
• You have hands-on expertise with Snowflake, including schema design, performance tuning, and data governance patterns.
• You have experience with at least one modern orchestration tool—we use Dagster, but experience with Airflow or Prefect is equally welcome.
• You have broad ingestion experience across source types: REST APIs, flat files (CSV, JSON, Parquet), relational databases, and vendor-licensed datasets.
• You have worked with large datasets (TB -> PB scale) and understand the engineering considerations that come with scale—partitioning, incremental loading, efficient data movement, and storage optimization.
• You're a strong data modeler who thinks carefully about how data is structured, named, and layered for downstream usability.
• You value documentation, testability, and building things others can maintain and extend.
• You can balance upfront design with speed to execution, slowing down when it counts without getting stuck in the details.
• Bonus: You have experience with data quality and observability tooling such as Elementary, Great Expectations, or similar frameworks — and you treat data quality as a first-class engineering concern, not an afterthought.
• Bonus: You have experience with Spark, Databricks for large-scale data processing workloads.
• Bonus: You have experience with large-scale data transfer tooling such as AWS DataSync, AWS S3 Transfer Acceleration, or equivalent cloud-native data movement services.
• Bonus: You have experience in healthcare or life sciences data environments, including familiarity with EHR, claims, or other biomedical datasets.

Total Compensation Range: $177,500 - $232,000

About the Position

We're looking for a Senior Data Engineer to join the Scientific Data Intelligence (SDI) team at Formation Bio to help transform Real World Data (RWD)—spanning electronic health records, claims, and other longitudinal patient data sources—into structured, analytics-ready assets. In this role, you'll be partnering closely with our Data Science team not only to model and transform data, but also to actively analyze it: answering research questions, generating evidence, and supporting scientific decision-making across our drug portfolio.

This position sits at the intersection of healthcare data engineering, real-world evidence analysis, and generative AI. While a strong foundation in building reliable, scalable pipelines is essential, you'll be equally expected to roll up your sleeves and work directly with the data—constructing cohorts, running analyses, and translating findings into actionable insights for scientific and business stakeholders.

The ideal candidate is a hybrid of data engineer and applied scientist: someone who can build the infrastructure and then use it, with familiarity in RWD study design, GenAI fluency (e.g., LLM-based entity extraction, summarization, classification), and strong technical expertise with modern data tooling. You'll play a key role in shaping how real-world patient data becomes discoverable, structured, and impactful across the organization.

Responsibilities

• Model and transform raw EHR and claims data into clean, canonical, and analytics-ready datasets using SQL, Python, and clinical standards like OMOP.
• Build and manage scalable data pipelines using Dagster for orchestration, dbt for transformation, and Snowflake as the primary compute and storage engine.
• Conduct hands-on RWD analyses to answer scientific and strategic research questions—including disease epidemiology, treatment patterns, patient journey characterization, and comparative effectiveness.
• Partner with Data Scientists and clinical leads to design and execute observational studies, translating scientific questions into well-structured, reproducible analyses.
• Implement data validation, completeness, and observability frameworks to ensure real-world datasets are accurate, comprehensive, and trustworthy for downstream research and product use.
• Apply Generative AI techniques within transformation and analysis layers to accelerate data structuring and insight generation.
• Communicate findings clearly to both technical and non-technical stakeholders, including summaries for portfolio teams and leadership.

About You

• You have 5+ years of experience in data engineering, ideally with at least 2 years working in healthcare or life sciences, including direct exposure to EHR or claims datasets.
• You have experience with ontologies and biomedical schemas (e.g. UMLS, LOINC, ICD9/10, MeSH) and understand the modalities found within RWD — billing claims, lab results, visit notes.
• You're fluent in SQL and Python, and you've built and maintained production-grade pipelines that support analytics or scientific workflows.
• You have experience building longitudinal patient cohorts from EHR or claims data, including index date logic, washout periods, and follow-up window construction.
• You have a solid understanding of the causal inference frameworks such as potential outcomes and target trial emulation. 
• You have working familiarity with real-world evidence study design concepts—such as active comparator new user designs, time-to-event outcomes, confounder adjustment, and causal discovery algorithms—sufficient to partner effectively with Data Scientists on causal inference workflows.
• You value clarity, documentation, and structured thinking—especially when working with complex healthcare data.
• You have hands-on expertise with modern data infrastructure, such as Snowflake, dbt, and Dagster.
• You can balance upfront design with speed to execution, slowing down when it counts without getting stuck in the details.
• Bonus: You've worked in regulated or privacy-sensitive data environments and are familiar with governance models for PHI or sensitive data.
• Bonus: You have prior experience working with commercial RWD vendors (e.g. Truveta, Optum, Komodo, IQVIA) and understand the nuances of licensed claims and EHR datasets, including longitudinal patient journey construction and line-of-therapy sequencing.

Total Compensation Range: $204,500 - $267,000

Data is at the heart of every decision at Klaviyo. Our Analytics Engineering team sits within a hub-and-spoke model, partnering closely with Go-To-Market (GTM), Product, Engineering, and Business Intelligence teams to build scalable, trusted data systems. You’ll work at the intersection of business and engineering, owning core data models, enabling self-service analytics, and ensuring our data ecosystem is reliable, scalable, and compliant.

About the Role

We’re looking for a Senior Analytics Engineer to own end-to-end data pipelines and modeling across GTM (Sales) and Product domains. You’ll build and maintain the source of truth for operational and product data, enabling leadership, analysts, and product teams to answer complex questions with confidence. This role combines deep technical execution with high-impact business partnership, requiring you to translate ambiguous needs into scalable data products. You will operate as a trusted, embedded partner to stakeholders while leveraging the broader Data Engineering organization’s standards, tooling, and best practices. You’ll help build the foundation that powers everything from forecasting and compensation to product insights and experimentation. Please note that this is a hybrid role that requires 3 days/week in our Boston office. Fully remote candidates will not be considered at this time. 

How You’ll Make a Difference

• Own and deliver end-to-end data pipelines and models that power Sales and Product analytics
• Build curated, governed data marts that enable fast, reliable decision-making
• Design dimensional data models (dbt) for core entities such as accounts, pipeline, performance, and product usage
• Partner with Sales, Product, and Analytics teams to create holistic views of the customer and product lifecycle
• Raise the bar on data quality, testing, monitoring, and documentation
• Enable reverse ETL workflows to operationalize insights into business systems
• Act as a data ambassador across Product, Engineering, BI, and Legal, ensuring alignment on data contracts and governance
• Lead and mentor others through design reviews, best practices, and technical guidance
• Evolve internal tooling and infrastructure to improve developer and analyst productivity

What You’ll Do

• Data Modeling & Pipelines: Build and maintain production-grade dbt models in Snowflake
• Integrations & Ingestion: Own ingestion from systems like Salesforce, ERP, and product data sources
• Reverse ETL: Push high-value data models into downstream tools and workflows
• Data Quality & Governance: Implement testing frameworks, monitoring, and documentation to ensure trust and compliance
• Cross-Functional Partnership: Work closely with Sales Ops, Product Managers, Engineering, Finance, and GTM teams
• Repository Stewardship: Maintain dbt codebase, enforce best practices, and ensure scalability
• Tooling & Infrastructure: Contribute to Airflow, Terraform, AWS, and other platform tools as needed

Who You Are

• 5+ years of experience in analytics or data engineering in a modern data stack (Snowflake, BigQuery, or Redshift)
• Strong expertise in SQL and dbt, with a focus on building scalable, production-grade data models
• Proficiency in Python (or similar) for orchestration or tooling
• Experience owning end-to-end data workflows, from ingestion to business impact
• Ability to translate ambiguous business needs into structured data solutions
• Strong communication skills with the ability to partner with non-technical stakeholders
• Experience implementing data testing, monitoring, and governance frameworks
• Proven ability to lead cross-functional projects with minimal guidance

Nice to Have

• Experience with Sales Operations, compensation, or GTM analytics
• Familiarity with reverse ETL tools and workflows
• Experience with Airflow, Fivetran, Workato, or similar tools
• AWS experience (S3, EC2, Lambda) and infrastructure-as-code (Terraform)
• Exposure to experimentation frameworks or product analytics systems
• Experience with data privacy controls (masking, role-based access, compliance)

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit careers.klaviyo.com to see how we empower creators to own their own destiny.

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Role overview

As a core member of the Data Systems Analysis team, the Associate Business Systems Analyst will support the design, implementation, and ongoing improvement of our data and analytics systems. This role acts as a bridge between business stakeholders and the technical capabilities of our modern data stack, with a growing focus on how we can responsibly apply AI to improve our work. The ideal candidate is eager to learn and explore the new technology in the industry and comfortable working under the guidance of senior analysts and managers to translate business needs into clear, actionable requirements. You will collaborate closely with cross-functional partners across Data, Engineering, and Business teams to document processes, support solution design, and help ensure our systems effectively enable day-to-day operations and strategic decision making.

What you'll do

• Requirements design & analysis: Support requirements gathering sessions with business stakeholders, capturing notes and translating them into clear user stories under the guidance of senior team members. Partner with senior analysts and Technical Product Managers to refine requirements into implementable work items for the engineering team.
• Documentation: Help document current-state and future-state business processes, identifying gaps and pain points. Maintain and update document templates, runbooks, and training materials so that documentation stays current as systems and processes evolve.
• System & data analysis: Assist in analyzing data and system behavior to understand how existing solutions support business processes. Help identify opportunities for process or system improvements, documenting findings and recommendations for review by senior team members.
• Implementation support: Collaborating with engineers, data teams, and product partners to deliver changes that meet documented requirements. Assist with coordination between business stakeholders and technical teams to clarify questions and resolve minor issues.
• AI exploration & enablement: Explore and evaluate AI (ideally build as well) tools and techniques that can improve operational processes, efficiency tracking, and coding workflows for data teams. Prototype small, low-risk AI-assisted workflows and document learnings, limitations, and best practices for the team. Partner with senior analysts and engineers to translate AI opportunities into concrete requirements or proof-of-concept implementations.
• User Acceptance Testing: Help define and document UAT scenarios and test cases based on requirements and business workflows. Coordinate with business stakeholders to schedule UAT, track feedback, and record defects and retest results. 
• Continuous improvement: Support process and documentation clean-up efforts, including template standardization, version control, and knowledge management. Stay up to date on industry concepts and best practices in business analysis and data/analytics and bring relevant ideas back to the team.

What you'll bring

• 1+ year of experience as a Business Analyst, Business Systems Analyst, Data Analyst, or similar role, or relevant internship/project experience.
• A self-starter mindset with strong curiosity and willingness to learn from feedback and mentorship.
• Analytical problem-solving skills and comfort breaking larger problems into smaller, structured questions.
• Ability to navigate ambiguity by asking clarifying questions, documenting assumptions, and escalating risks appropriately.
• Strong written and verbal communication skills, including:
  • Clear meeting notes and action items
  • Well-structured requirements and documentation
  • Ability to explain findings in straightforward business language
• A collaborative working style, with the ability to partner across business, data, and engineering teams and incorporate input from multiple stakeholders.
• Experience or exposure to tools like Snowflake, dbt, and BI platforms
• Experience using related AI tools such as Cursor, Claude, Glean. 
• Strong SQL skills.
• Comfort working in an Agile / scrum environment (e.g., user stories, backlogs, sprints) or a strong desire to learn.
• Business outcome oriented.

Overview 

Velir x Brooklyn Data is seeking a Director of Data & AI Alliances to build and scale strategic partnerships across the modern data and AI ecosystem. This role will drive joint go-to-market initiatives, co-sell motions, and revenue growth with leading data platform providers. 

As a data and AI-led digital agency, Velir x Brooklyn Data partners with organizations to unify data, activate AI, and deliver intelligent digital experiences. This role will be responsible for strengthening Velir x Brooklyn Data's position within the data ecosystem and translating partner relationships into meaningful pipeline and revenue. 

The ideal candidate is both strategic and commercially driven, with deep experience building alliances with leading data, analytics, and AI platforms.

Responsibilities

Strategic Alliance Development 

• Build and manage Velir x Brooklyn Data’s strategic partnerships with leading data and AI platform providers, including Snowflake, Databricks, Domo, and dbt. 
• Identify and develop new alliance opportunities within the modern data stack ecosystem. 
• Strengthen Velir x Brooklyn Data’s positioning as a preferred services partner within partner ecosystems. 
• Identify and pursue “first-to-market” opportunities, including early adoption of new partner features, products, or capabilities. 

Revenue and Pipeline Generation 

• Develop and execute joint go-to-market strategies that generate pipeline and new business opportunities. 
• Work closely with Velir x Brooklyn Data’s sales and growth teams to support co-selling initiatives and partner-led opportunities. 
• Proactively track and register opportunities to ensure the organization receives appropriate credit for sourced opportunities and client consumption growth. 

Partner Relationship Management 

• Serve as the primary Velir x Brooklyn Data liaison with key partner executives and alliance leaders. 
• Establish and nurture executive relationships across partner organizations. 
• Maintain strong collaboration between Velir’s sales, marketing, and delivery teams and partner counterparts. 

Partner Event & Ecosystem Strategy 

• Lead Velir x Brooklyn Data’s strategy and execution for data and AI partner conferences, summits, and ecosystem events. 
• Identify and prioritize the most impactful partner events including Snowflake Summit, Databricks Data + AI Summit, Domo Palooza, and dbt Coalesce. 
• Develop pre-event go-to-market strategies to drive pipeline generation, partner alignment, and client engagement. 
• Coordinate internal preparation across sales, marketing, and delivery teams to ensure Velir x Brooklyn Data is positioned effectively throughout event preparation, execution, and follow up 
• Oversee execution of Velir x Brooklyn Data’s presence at partner events including executive meetings, speaking opportunities, joint marketing initiatives, and partner engagement activities. 
• Ensure strong post-event follow-up and pipeline conversion from meetings, leads, and partner introductions generated at these events. 

Joint Marketing & Market Positioning 

• Identify opportunities to showcase Velir x Brooklyn Data’s expertise in data, AI, and modern digital experience transformation. 
• Drive the development of early case studies and success stories that support partner adoption and strengthen market positioning. 
• Maintain visibility into partner product and feature roadmaps to proactively identify opportunities for early testing, case studies, and joint go-to-market efforts 

Enablement & Internal Alignment 

• Ensure teams are enabled on partner technologies and value propositions. 
• Align internal stakeholders on partner priorities and initiatives. 
• Support joint solution development and partner-aligned service offerings

Qualifications

Required Experience 

• 7+ years of experience in technology alliances, partnerships, or ecosystem leadership 
• Experience working with data platforms, analytics, or AI technology ecosystems 
• Proven success driving partner-sourced or partner-influenced revenue 
• Experience building joint GTM strategies and co-sell motions 

Preferred Experience 

• Background in data platforms, analytics, AI, or digital transformation services 
• Experience working with platforms including, but not limited to: 
  • Snowflake 
  • Databricks 
  • Domo 
  • dbt 
• Experience working in consulting, agency, or professional services environments 

Skills & Attributes

• Strategic partnership development 
• Executive relationship building 
• Revenue-focused alliance management 
• Strong communication and storytelling 
• Deep understanding of the modern data stack 
• Demonstrated curiosity about emerging data technologies. 
• Ability to work cross-functionally with sales, marketing, and delivery teams 

Physical Requirements 

• Frequent sitting at a desk performing work on a computer. 
• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 
• Travel will be required  

Please note that compensation packages are finalized after the interview process is concluded. We use a competency-based approach to base pay, which means it is based on the competencies and skills demonstrated for this role.

Job Summary: The Senior Data Engineer is responsible for software development and data engineering projects. Identifies and executes tasks in the software development life cycle, reviews and debugs codes. They are responsible for ensuring the quality and functionality of software solutions. Collaborate with internal teams and provide technical guidance to deliver successful products. 

Duties/Responsibilities:

• Write well-designed, testable, efficient code
• Produce specifications and determine operational feasibility
• Integrate software components into a fully-functional software system
• Develop software verification plans and quality assurance procedures
• Document and maintain software functionality and APIs
• Configure and deploy software tools, processes and metrics
• Adhere to industry standards and regulations
• Embrace and evolve our agile development practices

Required Skills/Abilities: 

• Expert at developing complex software and data pipelines in Python, Airflow, DBT, Databricks, C# / .NET
• Expert with unit, integration and data quality testing
• Expert understanding of relational databases and open data formats and query concepts
• Excellent problem solving, coding and debugging skills
• Excellent verbal and written communication skills
• Time management skills with ability to meet deadlines
• Experience with GitHub and version control concepts, preferably Git
• Working experience with software/data engineer and design concepts
• Familiarity with distributed systems on AWS 
• Experience with Continuous Integration and Continuous Development
• Skilled GitHub and git
• Proven understanding of REST APIs and knowledge of how to build and call them

Education and Experience:

• BS degree in Computer Science, Engineering, Mathematics or relative experience
• 3+ years of experience software engineering
• Experience in healthcare or insurance industry preferred

Supervisory Responsibilities:

• None

Physical and or Travel Requirements:

• Prolonged periods of sitting at a desk and working on a computer 
• Occasional travel for company wide meetings

Salary Range:

• $120 – $160k USD

Role overview

CarGurus is looking for a Senior Product Data Analyst to navigate our rich data environment and drive impactful outcomes for our customers and business. You will work cross-functionally to build out core data assets, empower go-to-market teams with revenue-generating insights, and design novel metrics to guide the business.

Our Product Data Analytics org supports our Product, Engineering, and Go-to-Market teams, providing the final word on all analytics for CarGurus’ user and dealer experiences. We are looking for thoughtful, curious, internally driven analytics experts who don’t just pull data, but draw the “so-what” from complex, disparate sources and present these findings to internal teams and external customers. 

What you’ll do

• Communicate and present complex quantitative findings in easily digestible terms to company leadership, homing in on key takeaways. Concretely and informatively respond to any probing, on-the-spot follow-up questions from senior decision-makers. 
• Conduct exploratory empirical analyses using SQL and Python that bridge disparate data sources (e.g. website usage, subscription records, inventory volumes, etc.). to quantify product performance, user behavior, and/or market trends. Distill unstructured “big data” around product performance, user behavior and/or market insights into actionable outcomes .  
• Architect new data assets and production-grade data marts via dbt. You will fix modeling bottlenecks and optimize data lineages to ensure scalability. 
• Serve as the technical expert in high-stakes Go-To-Market engagements. You will partner with Sales and Customer Success teams to provide data-backed proof of value, participating in client-facing meetings to help secure new partnerships or mitigate churn through sophisticated impact analysis.
• Partner with engineering teams to advance the company’s core data modeling and architecture, with a focus on optimizing, integrating, and distilling large raw datasets and metadata. 
• Creatively compress sweeping, high-level exploratory requests into specific calculations that address your stakeholders’ underlying needs. Relentlessly dig into the data, taking initiative to consult with other individuals and teams as you judge necessary. Go beyond the letter of the initial assignment, to hammer out any anomalies or self-direct your inquiry into other relevant issues. 
• Use Claude Code and agentic workflows to automate,  to automate, accelerate, and escalate the sophistication of your analyses.
• Advocate for specific, data-driven product innovations that help further company strategy, primarily in partnership with the Product, Engineering, and Go-to-Market teams. 
• Lead rigorous, holistic discussions about statistical analyses and ML modeling.  You are expected to be a “self-teaching” practitioner, staying ahead of quantitative trends. 
• Participate in brainstorming and planning discussions across the organization to these ends. Avoid passivity in the face of flawed proposals; tactfully and persuasively push back against potential missteps.
• Craft the metrics that define success. You’ll condense abstract or loosely-defined concepts into concrete calculations and relentlessly audit existing metrics for accuracy and relevance.
• Build intuitive dashboards and other visual monitoring tools to guide stakeholders’ daily decision-making. Experiment with new kinds of visualizations that you believe could be better utilized in the organization. Re-work underlying code to appropriately structure visualization inputs.

What you’ll bring

• 4+ years of experience in analytics, with a proven track record of influencing business strategy through complex modeling and applied statistics. 
• Expert-level skills in SQL, Python, and dbt. Proficiency with file manipulation and version control via Git.
• Strong data storytelling and communication skills, presenting findings to senior leadership and external customers.
• Hands-on experience leveraging  GenAI  to optimize workflows and agentic coding platforms like Claude Code (preferred) or Cursor.
• A self-starter who can take a “grassroots” idea, scope its viability, and bring it to scale.
• A natural thought leader with a proven track record of influencing business strategy.
• Strong command of hypothesis testing, parametric/nonparametric regression, and building automated statistical pipelines. 
• Knack for creative data visualizations.
• You are a “tactful challenger”. You don’t just accept flawed proposals; you provide data-backed alternatives and can explain p-values to executives as easily as you explain them to technical audiences. 
• Strong project planning skills, with experience building roadmaps, estimating required resources, and flagging interdependencies with other teams.
• Preferred tools/programs: Snowflake, Claude Code, Cursor, Looker/LookML, Omni.

Summary

Klaviyo is looking for a Lead Data Science Analyst to join our GTM Strategic Analytics & Insights team. In this role, you will serve as a senior individual contributor at the intersection of advanced data science, AI/LLM-driven innovation, and Go-to-Market strategy. You will build and maintain sophisticated predictive and inferential models, conduct deep-dive statistical analyses, and develop AI-first solutions that unlock meaningful insights across the pre and post Sales Customer lifecycle.

The successful candidate will partner closely with GTM leadership to shape how Klaviyo understands, measures, and accelerates new business and customer outcomes; from pre-sales motion through onboarding, expansion and retention. You will operate with a strong bias toward AI-augmented workflows and bring a modern, LLM-aware approach to every analytical challenge.

The ideal candidate is intellectually curious, strategically minded, and energized by hard problems. They bring deep technical fluency across the full data science stack, a demonstrated ability to influence senior stakeholders through clear storytelling, and a genuine commitment to building AI-first solutions in a fast-moving SaaS environment.

How You Will Make a Difference

• Build and maintain advanced models: Build and maintain advanced predictive and time-series models: design, train, deploy, and monitor models across use cases such as demand forecasting, capacity planning, deal scoring, and customer propensity; incorporate seasonality, exogenous drivers, and backtesting frameworks to ensure accuracy and robustness
• Apply statistical rigor: lead deep-dive analyses leveraging regression, causal inference, hypothesis testing, correlation analysis, and other statistical methods to surface actionable signals from complex, large-scale datasets
• Develop AI/LLM-powered solutions: architect and implement AI-first analyses and tooling using large language models, prompt engineering, retrieval-augmented generation (RAG), and related techniques to automate insight generation, surface qualitative signals at scale, and augment team capabilities
• Own forecasting and decision systems: Own end-to-end forecasting and operational decision systems, including time-series demand forecasting, capacity planning models (e.g., Erlang-based staffing), and production pipelines that power GTM and Support planning workflows; ensure reliability, scalability, and business adoption of outputs
• Drive customer intelligence: develop and maintain prospect, deal health, archetype, and capacity models that inform GTM strategy, planning, and growth initiatives
• Define the measurement framework: identify, create, and steward benchmarks and metrics that meaningfully represent growth, engagement, and success outcomes
• Communicate with impact: distill complex analyses into clear, cohesive narratives with executive-ready materials that drive decisions at the senior leadership level
• Collaborate cross-functionally: partner with Systems & Engineering, GTM Operations, Rev Ops & Planning, Product, Business Intelligence, Data Science, and Finance to ensure analytical solutions are integrated, scalable, and trusted

Who You Are

• 6+ years of professional experience in an advanced analytics or data science role; SaaS experience strongly preferred
• Deep expertise in statistical inference and modeling, including supervised techniques (regression, classification, gradient boosting, decision trees) and unsupervised techniques (clustering, PCA, anomaly detection, topic modeling)
• Hands-on experience designing and deploying AI/LLM-based solutions, including prompt engineering, fine-tuning, RAG pipelines, or LLM-integrated analytics workflows; you approach new problems with an AI-first mindset
• Familiarity and experience with distributed coding projects, including using Git for code management.
• Advanced proficiency in Python (pandas, numpy, scikit-learn, xgboost, statsmodels, and LLM/AI libraries such as LangChain, OpenAI SDK, or HuggingFace) and SQL; working knowledge of DBT
• Own and scale end-to-end data pipelines, including orchestration with Airflow and transformation/modeling with dbt; design reliable, testable, and modular workflows that support production-grade analytics and machine learning use cases, with a focus on performance, data quality, and maintainability.
• Develop and iterate on time-series forecasting frameworks using approaches such as ARIMA/SARIMAX, ETS, MSTL, and machine learning-based models; evaluate performance through rigorous backtesting and continuously improve model accuracy and business applicability
• Experience building data visualizations and dashboards across platforms such as Tableau, ThoughtSpot, matplotlib, seaborn, plotly, or similar tooling.
• Strong project ownership: experienced operating to a roadmap, managing milestones and deliverables, and delivering high-quality work product in a timely manner
• Comfortable with autonomy and ambiguity, with a proactive orientation toward identifying and solving problems before they're fully defined
• Excellent written and verbal communication skills, including experience preparing materials for executive audiences

Summary

Klaviyo is looking for a Lead Data Science Analyst to join our GTM Strategic Analytics & Insights team. In this role, you will serve as a senior individual contributor at the intersection of advanced data science, AI/LLM-driven innovation, and Go-to-Market strategy. You will build and maintain sophisticated predictive and inferential models, conduct deep-dive statistical analyses, and develop AI-first solutions that unlock meaningful insights across the pre and post Sales Customer lifecycle.

The successful candidate will partner closely with GTM leadership to shape how Klaviyo understands, measures, and accelerates new business and customer outcomes; from pre-sales motion through onboarding, expansion and retention. You will operate with a strong bias toward AI-augmented workflows and bring a modern, LLM-aware approach to every analytical challenge.

The ideal candidate is intellectually curious, strategically minded, and energized by hard problems. They bring deep technical fluency across the full data science stack, a demonstrated ability to influence senior stakeholders through clear storytelling, and a genuine commitment to building AI-first solutions in a fast-moving SaaS environment.

How You Will Make a Difference

• Build and maintain advanced models: Build and maintain advanced predictive and time-series models: design, train, deploy, and monitor models across use cases such as demand forecasting, capacity planning, deal scoring, and customer propensity; incorporate seasonality, exogenous drivers, and backtesting frameworks to ensure accuracy and robustness
• Apply statistical rigor: lead deep-dive analyses leveraging regression, causal inference, hypothesis testing, correlation analysis, and other statistical methods to surface actionable signals from complex, large-scale datasets
• Develop AI/LLM-powered solutions: architect and implement AI-first analyses and tooling using large language models, prompt engineering, retrieval-augmented generation (RAG), and related techniques to automate insight generation, surface qualitative signals at scale, and augment team capabilities
• Own forecasting and decision systems: Own end-to-end forecasting and operational decision systems, including time-series demand forecasting, capacity planning models (e.g., Erlang-based staffing), and production pipelines that power GTM and Support planning workflows; ensure reliability, scalability, and business adoption of outputs
• Drive customer intelligence: develop and maintain prospect, deal health, archetype, and capacity models that inform GTM strategy, planning, and growth initiatives
• Define the measurement framework: identify, create, and steward benchmarks and metrics that meaningfully represent growth, engagement, and success outcomes
• Communicate with impact: distill complex analyses into clear, cohesive narratives with executive-ready materials that drive decisions at the senior leadership level
• Collaborate cross-functionally: partner with Systems & Engineering, GTM Operations, Rev Ops & Planning, Product, Business Intelligence, Data Science, and Finance to ensure analytical solutions are integrated, scalable, and trusted

Who You Are

• 6+ years of professional experience in an advanced analytics or data science role; SaaS experience strongly preferred
• Deep expertise in statistical inference and modeling, including supervised techniques (regression, classification, gradient boosting, decision trees) and unsupervised techniques (clustering, PCA, anomaly detection, topic modeling)
• Hands-on experience designing and deploying AI/LLM-based solutions, including prompt engineering, fine-tuning, RAG pipelines, or LLM-integrated analytics workflows; you approach new problems with an AI-first mindset
• Familiarity and experience with distributed coding projects, including using Git for code management.
• Advanced proficiency in Python (pandas, numpy, scikit-learn, xgboost, statsmodels, and LLM/AI libraries such as LangChain, OpenAI SDK, or HuggingFace) and SQL; working knowledge of DBT
• Own and scale end-to-end data pipelines, including orchestration with Airflow and transformation/modeling with dbt; design reliable, testable, and modular workflows that support production-grade analytics and machine learning use cases, with a focus on performance, data quality, and maintainability.
• Develop and iterate on time-series forecasting frameworks using approaches such as ARIMA/SARIMAX, ETS, MSTL, and machine learning-based models; evaluate performance through rigorous backtesting and continuously improve model accuracy and business applicability
• Experience building data visualizations and dashboards across platforms such as Tableau, ThoughtSpot, matplotlib, seaborn, plotly, or similar tooling.
• Strong project ownership: experienced operating to a roadmap, managing milestones and deliverables, and delivering high-quality work product in a timely manner
• Comfortable with autonomy and ambiguity, with a proactive orientation toward identifying and solving problems before they're fully defined
• Excellent written and verbal communication skills, including experience preparing materials for executive audiences

Beacon Biosignals is on a mission to revolutionize precision medicine for the brain. We are the leading at-home EEG platform supporting clinical development of novel therapeutics for neurological, psychiatric, and sleep disorders. Our FDA 510(k)-cleared Waveband EEG headband and AI algorithms enable quantitative biomarker discovery and implementation. Beacon’s Clinico-EEG database contains EEG data from nearly 100,000 patients, and our cloud-native analytics platform powers large-scale RWD/RWE retrospective and predictive studies. Beacon Biosignals is changing the way that patients are treated for any disorder that affects brain physiology. 

Beacon Biosignals is seeking an experienced forward-deployed analytics engineer to support customers in making the most of our real-world datasets and accelerate growth of our analytics product offerings. As a member of the Analytics Suites Team, you'll partner with customers to develop custom data models, visualizations, and integrations to apply Beacon’s platform-hosted analytics to meet their needs. Your data solutions will transform, enrich, and summarize our ever-growing datasets of biosignals, machine learning outputs, biosignal-derived metrics, and clinical metadata. You'll also design and maintain canonical data representations and automated data pipelines and the scientific products that they power, from automated scientific reports to interactive dashboards. This is a customer-facing, product-oriented role - you'll work directly with Beacon’s customers and alongside engineers, product managers, scientists, and clinicians to turn scientific questions into robust, versioned data products. This role reports to the manager of the Analytics Suites Team within the Analytics and Machine Learning domain at Beacon.

Why this role? You'll help define Beacon's analytics offerings for sleep-focused data partnerships, and you'll develop new data flows that power internal efforts to identify novel biomarkers for sleep disorders and other neurological diseases. 

At Beacon, we've found that cultural and scientific impact is driven most by those who lead by example. As such, we're always seeking out new contributors whose work demonstrates innate curiosity, a bias toward simplicity, an eye for composability, a self-service mindset, and most of all, a deep empathy toward colleagues, stakeholders, users, and patients. We believe a diverse team builds more robust systems and achieves higher impact.

This position is based in the Boston area to support regular onsite customer engagement and close partnership with our Boston-based team.

What success looks like

• Work directly with external partners and customers to understand their data needs, analytical workflows, and technical constraints, and translate those into concrete solutions leveraging Beacon analytics products and tools
• Lead discussions on data-oriented technical challenges and solutions with a variety of audiences, communicating clearly and tailoring explanations to achieve an appropriate level of technical depth
• Design and implement custom data solutions for customers, developing on either the Beacon platform or the customer’s platform depending on the problem at hand
• Provide synchronous support, documentation, and example solutions that highlight Beacon’s analytics capabilities that empower customers to self-serve analytics and use them as inputs to their own bespoke analyses 
• Build and maintain core analytics products including versioned data models, dashboards, and reports that power real-world data investigations, clinical diagnostics, and clinical trials
• Translate lessons learned from external partnerships into analytics product improvements
• Develop templates, documentation, and practices for real-world data partnerships that reduce repeated efforts

What you will bring

• 6+ years developing, testing, and maintaining SQL transformations to deliver reproducible analytic results in a production setting atop data platforms such as Snowflake or Databricks
• Experience with dbt is a strong plus, but not required - we welcome candidates who are eager to learn
• 2+ years in a customer-facing role, developing and managing customer relationships
• Proven ability to work directly with customers to understand their needs, lead technical conversations (discovery calls, deep dives, and solution walkthroughs), and deliver technical solutions
• Familiarity with a scientific programming language such as Julia, Python, or R
• Clear written and verbal communication skills, including the ability to convey complex analytics concepts to a variety of audiences
• Strong asynchronous communication skills and a knack for making the most of synchronous collaboration
• Product-oriented intuition for translating customer needs into configurable solutions and broadly applicable features

Are you passionate about data? How about leveraging data to drive meaningful impact across a fast growing two-sided marketplace? Have opinions on how to best enable data scientists across a billion-dollar company to do elastic workforce planning or real-time customer lifetime value prediction? Then we should definitely talk!

The Data Technology team at ezCater is growing! As we look towards the second half of 2025 and beyond, data is a key strategic component across the company - from advanced, real-time machine learning to business intelligence and data governance. Data is our differentiator and how we will drive real, meaningful impact to the $100+billion Catering industry.

We are hiring a Senior Data Engineer to join our expanding team in solving complex data and platform challenges to accelerate our growing business. The ideal candidate lives and breathes data while driving systems and architecture best practices. They care about driving business impact through producing solid and efficient infrastructure alongside accurate and performant data.  You will have the opportunity to work directly with executive stakeholders as we embark on a massive-scale data modeling effort across the organization, so flexibility and the ability to translate business requests to implementation are key.

What you’ll do:

• Write and ship a lot of code.
• Work directly with analysts and stakeholders to refine requirements, nail down logic, and debug and qualify produced data sets to ensure they meet the underlying business needs.
• Drive architectural decisions and thoughtfully balance trade-offs in system design.
• Lead cross-functional data initiatives.
• Champion high standards in data quality, security, and discoverability.
• Translate complex technical challenges into clear solutions.
• Design and develop high-performance data pipelines. Adhering to SDLC, including CI/CD and best practices.
• Identify and drive opportunities to optimize and/or scale existing parts of our stack.
• Utilize tooling and automation to improve developer efficiency.
• Monitor data systems to ensure quality and availability while seeking to drive down costs.
• Contribute to the team processes and community.
• Mentor other Data Engineers.
• Be part of our innovation and transformation story.
  
  
  

What you have:

• Strong experience with data warehousing, data lakes, ELT process, and enterprise data platforms such as Snowflake (preferred), Redshift & BigQuery.
• Experience with building performant data pipelines across disparate systems.
• Experience with cloud platforms such as AWS (preferred), GCP & Azure.
• Mastery in SQL and experience in Python.
• Ability to work independently and collaboratively.
• Willingness and ability to be part of an on-call rotation, occasionally working non-business hours to address critical system alerts and maintain service uptime.
• An open mind and willingness to be flexible. We have a large and complex business, and believe in driving real value out of every project we do.
• Our stack is Snowflake, dbt, Fivetran, Airflow, AWS, Sagemaker, MLFlow, Kubernetes + Docker, Monte Carlo, Hightouch and Python for custom ETL and data science integrations. Experience with the above is a nice-to-have, and a desire to learn is a must.
• Experience with marketing data is preferred, but not required. 
• Ability to travel up to 5 days per quarter for Together Weeks, team gatherings and other events, when applicable.
• A sharp mind, a soft heart and a large funny bone.
  

The national total target cash compensation range for this position, including base salary and bonus target, is $158,000–$190,000 annually.*

*Please note: Final offer amounts are determined by multiple factors, including prior experience, expertise and region & may vary from the amount above. This range does not represent additional compensation benefits (such as equity, 401K or medical, dental or vision insurance).

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

About Toast

At Toast, we're building the restaurant platform that helps restaurants adapt, take control, and thrive. The Customer Success (CS) organization plays a pivotal role in helping customers get the most out of our products and we're transforming our data capabilities to drive a new era of proactive, data-informed customer engagement. 

The CS Data & Analytics team is at the center of this transformation, building the data infrastructure that makes proactive, data-informed customer engagement possible at scale for ~150,000 restaurant locations.

Role Overview

You'll be a founding member of a newly chartered data engineering function within Customer Success, with a direct hand in shaping the architecture, tooling, domain model, and team culture from day one. This is a rare opportunity to build something from greenfield, with visibility to VP and senior CS leadership.

As an Analytics Engineer on the Customer Success Data & Analytics team, you'll bridge the gap between raw data and business-ready insights. You'll build the semantic layer, dbt models, and analytics datasets that power reporting, dashboards, and AI-driven workflows across the CS organization. Reporting to the Director of Data Infrastructure & Engineering, you'll work closely with Data Engineers, Analysts, and CS operations leaders to ensure data is not just available but trusted, consistent, and decision-ready.

This is a hands-on role focused on data modeling, metrics standardization, and analytics infrastructure, with a direct line to CS outcomes like customer retention, agent performance, and proactive customer engagement.

A day in the life (Responsibilities) 

• Build and maintain dbt models that transform raw CS source data from systems like Salesforce, Five9, Intercom, NICE, and LevelAI into clean, analytics-ready datasets across CS domains including Customer 360, case management, omnichannel interactions, and agent performance.
• Design and own the semantic and metrics layer for CS KPIs including customer health scores, CSAT, case resolution rates, handle time, and retention signals, ensuring consistent definitions across all reporting surfaces.
• Partner with CS analysts and business stakeholders to translate reporting requirements into reusable, well-documented data models.
• Implement data testing, validation, and observability frameworks to ensure CS data assets are reliable and trustworthy at all times.
• Contribute to self-service analytics enablement by building datasets and semantic models in Snowflake and Sigma/Hex that allow CS analysts and operations leaders to answer questions independently.
• Collaborate with Data Engineers to ensure upstream pipeline outputs are modeled correctly and fit for purpose for analytics use cases.
• Establish and enforce data modeling standards, naming conventions, and documentation practices that scale as the team grows.
• Support AI and ML use cases by building clean, structured feature datasets for customer health scoring, churn prediction, and agent assist models.
• Participate in code reviews, design discussions, and technical architecture planning to continually raise engineering standards.
• Ensure data pipelines, storage, and access patterns adhere to BTT data standards, security policies, and compliance requirements.
• Partner with BTT governance forums to align on design patterns, data architecture decisions, and SLA expectations.
• Maintain documentation and metadata for all data assets in accordance with established governance processes.

What you'll need to thrive (Requirements)

• 5 or more years of experience in analytics engineering, data engineering, or a related role with a strong focus on data modeling and analytics infrastructure.
• Expert-level SQL and hands-on experience with dbt for building and maintaining data models in a cloud data warehouse environment.
• Experience with Snowflake or a comparable modern data warehouse such as BigQuery or Redshift.
• Familiarity with BI and analytics tools such as Sigma, Hex, Tableau, or Looker.
• Strong understanding of dimensional modeling, metrics layers, and analytics-ready dataset design.
• Ability to translate ambiguous business requirements from non-technical CS stakeholders into clean, scalable data models.
• Demonstrated ability to implement data quality testing, monitoring, and documentation as a standard practice.
• Demonstrated ability to communicate technical tradeoffs and data concepts clearly to non-technical stakeholders, including operations and business leaders.
• Collaborative working style with experience partnering across Data Engineering, Analytics, and business operations teams.
• Strong problem-solving skills, attention to detail, and a drive to build scalable, reliable systems.
  
  

What will help you stand out (Non-essential Skills/Nice to Haves)

• Experience building and optimizing data systems that operate at significant scale, managing billions of records across multiple data domains and systems, with the foresight to design for 5-year growth and future platform scale.
• Comfort using AI-assisted development tools such as GitHub Copilot, Claude, or Snowflake Cortex AI to accelerate pipeline development, testing, and documentation, and curiosity about how GenAI can enhance data product quality.
• Experience with real-time data streaming using Kafka, Kinesis, or Pub/Sub.
• Exposure to data governance, metadata management, and observability tools.
• Background in SaaS or Customer Success analytics, including usage data, retention metrics, and customer health.
• Experience working with CS or CX-adjacent source systems such as Salesforce, Five9, Intercom, or similar CCaaS/CRM platforms, and familiarity with the data models and integration patterns they produce.
• Knowledge of data security, privacy, and compliance in cloud environments.
• Experience with CI/CD, infrastructure as code, or containerization such as Docker or Terraform.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy

We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

About Toast

At Toast, we're building the restaurant platform that helps restaurants adapt, take control, and thrive. The Customer Success (CS) organization plays a pivotal role in helping customers get the most out of our products and we're transforming our data capabilities to drive a new era of proactive, data-informed customer engagement. 

The CS Data & Analytics team is at the center of this transformation, building the data infrastructure that makes proactive, data-informed customer engagement possible at scale for ~150,000 restaurant locations.

Role Overview

You'll be a founding member of a newly chartered data engineering function within Customer Success with a direct hand in shaping the architecture, tooling, domain model, and team culture from day one. This is a rare opportunity to build something from greenfield, with visibility to VP and senior CS leadership.

As a Data Engineer on the Customer Success Data & Analytics team, you’ll design, build, and scale the data platforms and pipelines that power insights across our Customer Success organization. Reporting to the Director of Data Infrastructure & Engineering, you’ll work closely with Data Infrastructure, Analytics, Engineering, and Product teams to ensure high-quality, reliable data is accessible and actionable.

This is a hands-on engineering role focused on delivering production-grade, scalable, and reliable data systems that support analytics, reporting, and operational decision-making across Customer Success.

A day in the life (Responsibilities) 

• Design, build, and maintain scalable, production-ready data pipelines (batch and real-time) for Customer Success using modern data technologies.
• Develop and evolve data models and schemas that enable reporting, analytics, and machine learning across Customer Success functions.
• Partner with CS operations leaders across care, workforce, and CX to translate business requirements into pipeline and infrastructure priorities, ensuring data work is directly connected to customer retention and operational outcomes.
• Ensure data quality, observability, lineage, and governance are built into every data workflow.
• Implement best practices for cost-efficient, performant cloud-based data infrastructure.
• Contribute to data platform tooling and frameworks that support self-service analytics and reusability across teams.
• Actively monitor and optimize data workflows for reliability, scale, and maintainability.
• Collaborate with cross-functional stakeholders to define and track key metrics and ensure consistent data definitions.
• Participate in code reviews, design discussions, and technical architecture planning to continually raise engineering standards.
• Build and maintain semantic and metrics layer foundations (e.g., dbt metrics, Snowflake semantic layer) that enable consistent, reusable definitions of CS KPIs across reporting and analytics surfaces.
• Contribute to the design and evolution of the CS data domain model including Customer 360, omnichannel interaction data, case management, and agent performance in close partnership with cross-functional stakeholders.
  
  

Governance & Standards

Partner with Toast's Business, Technology & Transformation (BTT) organization to establish data governance practices, security policies, and architecture standards that will serve as the foundation for CS data infrastructure. As a founding team member, you'll help define the norms, not just follow them.

• Ensure data pipelines, storage, and access patterns adhere to BTT data standards, security policies, and compliance requirements.
• Partner with BTT governance forums to align on design patterns, data architecture decisions, and SLA expectations.
• Maintain documentation and metadata for all data assets in accordance with established governance processes.
  
  

What you'll need to thrive (Requirements)

• 5+ years of experience in data engineering, software engineering, or a related role building and maintaining data systems in production.
• Strong SQL skills and experience with a programming language such as Python, Scala, or Java.
• Hands-on experience with cloud-based data platforms (AWS, GCP, or Azure).
• Experience building and optimizing ETL/ELT workflows using tools such as Airflow, dbt, or similar orchestration frameworks.
• Deep understanding of data modeling, data warehousing, and pipeline design.
• Ability to write clean, maintainable, and well-tested code for data transformations and automation.
• Demonstrated ability to communicate technical tradeoffs and data concepts clearly to non-technical stakeholders, including operations and business leaders.
• Proven ability to work collaboratively with analytics, operations, and engineering teams.
• Strong problem-solving skills, attention to detail, and a drive to build scalable, reliable systems.
  
  

What will help you stand out (Non-essential Skills/Nice to Haves)

• Experience building and optimizing data systems that operate at significant scale, managing billions of records across multiple data domains and systems, with the foresight to design for 5-year growth and future platform scale.
• Comfort using AI-assisted development tools (e.g., GitHub Copilot, Claude, Snowflake Cortex AI) to accelerate pipeline development, testing, and documentation and curiosity about how GenAI can enhance data product quality.
• Experience with real-time data streaming (Kafka, Kinesis, or Pub/Sub).
• Familiarity with modern data warehouse/lakehouse technologies (e.g., Snowflake, BigQuery, Redshift, Delta Lake).
• Experience with CI/CD, infrastructure as code, or containerization (e.g., Docker, Terraform).
• Exposure to data governance, metadata management, and observability tools.
• Background in SaaS or Customer Success analytics (usage data, retention metrics, customer health).
• Experience working with CS or CX-adjacent source systems such as Salesforce, Five9, Intercom, or similar CCaaS/CRM platforms and familiarity with the data models and integration patterns they produce.
• Knowledge of data security, privacy, and compliance in cloud environments.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy

We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

Role Summary

Klaviyo is seeking a Manager of Advanced Analytics & Automation to lead strategic analytics programs and AI first automations for our Customer Success Strategy and Analytics team. This role owns the development of scalable customer intelligence systems, and spans customer cohorting, health and success signals, churn and expansion drivers, and AI-powered workflows that translate insight into action.

You will operate as a senior technical individual contributor with program-level ownership, combining advanced data analytics and applied AI in partnership to build durable tools and processes used across GTM. This role is ideal for someone who can architect, build, QA, and operationalize advanced analytics and insights projects end-to-end while partnering deeply across Product, Ops, and Data teams.

What You’ll Do

• Own Customer Success Intelligence & Advanced Analytics & Insights, design Production-Grade Data Models & Analytics Pipelines, and champion AI Tooling, Automation & Workflow Orchestration
• Build and maintain customer cohorting, segmentation, and benchmarking frameworks, in collaboration with our Product Data Science team, that captures meaningful differences in Customer behavior, maturity, and value
• Define and evolve customer health, adoption, and success scoring and signals, including leading indicators of churn and expansion
• Design and scale advanced analytics projects and models, including cohort analysis, statistical inference, and impact measurement systems, that connect product usage and engagement to customer retention outcomes
• Act as a technical program owner for complex analytics initiatives, driving roadmap definition, sequencing workstreams, coordinating dependencies, and delivering outcomes
• Create advanced SQL and Python outputs that power customer insights, forecasting inputs, and operational reporting, using GitHub for version control and change management, and applying strong data modeling and governance practices
• Partner closely with Data Engineering, CS OPs, Data Science and Product Analytics, to deliver strategic analytical tools and insights that inform GTM priorities, roadmap decisions, and customer strategy, and collaborate to deliver prototype AI-assisted tools that provide GTM teams real time actionable insights into customer behavior
• Design and deploy workflow automations using n8n, Airflow or other AI tools, and establish integrated AI driven alerts that surface real-time customer risk and opportunity
• Lead initiatives end-to-end: problem framing, design, build, QA, documentation, rollout, and iteration
• Maintain a high bar for execution quality, accuracy, reliability, and long-term scalability
• Translate complex technical outputs into clear, actionable narratives for senior business and GTM stakeholders

What We’re Looking For

• 5+ years of experience in advanced analytics, technical analytics or data analytics (SaaS strongly preferred)
• Advanced proficiency in SQL and GitHub, with experience owning complex analytical data models
• Strong hands-on experience with Python and/or R, including statistical inference, cohort analysis, and advanced research
• Tableau Developer–level fluency, with solid understanding of dashboard logic, metrics, and database structures
• Confident using AI tooling (e.g., Cursor, Glean, Codex, GitHub AI etc.) to accelerate development, and familiarity with workflow automation platforms (n8n, Airflow, DBT); experience with LangChain a plus
• Demonstrated ability to build and operationalize analytics and AI workflows used by CS, Sales, or GTM teams
• Experience operating as a technical program manager for analytics or data initiatives
• Strong communication skills and comfort partnering with senior, non-technical stakeholders
• High standards for analytical rigor, QA, documentation, and system reliability
• You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient. 

#LI-Abbey

#LI-hybrid

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Role Summary

Klaviyo is seeking a Manager of Advanced Analytics & Automation to lead strategic analytics programs and AI first automations for our Customer Success Strategy and Analytics team. This role owns the development of scalable customer intelligence systems, and spans customer cohorting, health and success signals, churn and expansion drivers, and AI-powered workflows that translate insight into action.

You will operate as a senior technical individual contributor with program-level ownership, combining advanced data analytics and applied AI in partnership to build durable tools and processes used across GTM. This role is ideal for someone who can architect, build, QA, and operationalize advanced analytics and insights projects end-to-end while partnering deeply across Product, Ops, and Data teams.

What You’ll Do

• Own Customer Success Intelligence & Advanced Analytics & Insights, design Production-Grade Data Models & Analytics Pipelines, and champion AI Tooling, Automation & Workflow Orchestration
• Build and maintain customer cohorting, segmentation, and benchmarking frameworks, in collaboration with our Product Data Science team, that captures meaningful differences in Customer behavior, maturity, and value
• Define and evolve customer health, adoption, and success scoring and signals, including leading indicators of churn and expansion
• Design and scale advanced analytics projects and models, including cohort analysis, statistical inference, and impact measurement systems, that connect product usage and engagement to customer retention outcomes
• Act as a technical program owner for complex analytics initiatives, driving roadmap definition, sequencing workstreams, coordinating dependencies, and delivering outcomes
• Create advanced SQL and Python outputs that power customer insights, forecasting inputs, and operational reporting, using GitHub for version control and change management, and applying strong data modeling and governance practices
• Partner closely with Data Engineering, CS OPs, Data Science and Product Analytics, to deliver strategic analytical tools and insights that inform GTM priorities, roadmap decisions, and customer strategy, and collaborate to deliver prototype AI-assisted tools that provide GTM teams real time actionable insights into customer behavior
• Design and deploy workflow automations using n8n, Airflow or other AI tools, and establish integrated AI driven alerts that surface real-time customer risk and opportunity
• Lead initiatives end-to-end: problem framing, design, build, QA, documentation, rollout, and iteration
• Maintain a high bar for execution quality, accuracy, reliability, and long-term scalability
• Translate complex technical outputs into clear, actionable narratives for senior business and GTM stakeholders

What We’re Looking For

• 5+ years of experience in advanced analytics, technical analytics or data analytics (SaaS strongly preferred)
• Advanced proficiency in SQL and GitHub, with experience owning complex analytical data models
• Strong hands-on experience with Python and/or R, including statistical inference, cohort analysis, and advanced research
• Tableau Developer–level fluency, with solid understanding of dashboard logic, metrics, and database structures
• Confident using AI tooling (e.g., Cursor, Glean, Codex, GitHub AI etc.) to accelerate development, and familiarity with workflow automation platforms (n8n, Airflow, DBT); experience with LangChain a plus
• Demonstrated ability to build and operationalize analytics and AI workflows used by CS, Sales, or GTM teams
• Experience operating as a technical program manager for analytics or data initiatives
• Strong communication skills and comfort partnering with senior, non-technical stakeholders
• High standards for analytical rigor, QA, documentation, and system reliability
• You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient. 

#LI-Abbey

#LI-hybrid

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Come join Overstory Health as a Therapist in Boston, MA

Overstory Health is transforming behavioral healthcare by building world-class, patient-centered Partial Hospitalization (PHP) and Intensive Outpatient (IOP) programs for individuals navigating high-acuity mental health challenges. Our mission is simple and bold: to provide accessible, dignified care at the moments people need it most. Backed by a clinical model validated by McLean Hospital, we offer comprehensive psychiatric treatment, evidence-based therapy, and support for reintegration into daily life. We measure our success by our patients’ progress—greater stability, deeper connection, and renewed confidence during and after their time in our programs.

ABOUT THE ROLE

We are looking for pre-licensed or licensed therapists eager to build and deliver care in a world-class innovative PHP/IOP program. As a therapist, you are the heart of our Partial Hospital Program (PHP) or Intensive Outpatient Program (IOP) programs. Your daily role will include managing: clinical assessments, group therapy, individual therapy, crisis management, and clinical event documentation / reporting for patients. You will work closely with the full team, including our Clinic Director and Medical Director, to ensure patients receive world-class services.

YOU’LL BE A GOOD FIT IF YOU

• Have clinical experience working with higher risk adults with mood and psychotic disorders
• Training and direct care delivery experience in evidence-based practices (such as DBT, CBT, and ACT) and modes (group and individual therapy)
• Have experience in crisis intervention and conflict resolution
• Are eager to be part of a fast-paced dynamic team in a start-up environment; this includes being an adaptive and flexible thinker, a desire to be collaborative across disciplines, an eagerness to lead, and being a pragmatic problem-solver
• Are interested in career growth opportunities within a rapidly growing organization and are willing to wear multiple hats on day one to help the team as needed
• Enjoy working in a non-hierarchical environment where you will give proactive, practical, and confident feedback and opinion

QUALIFICATIONS

• Lives in the Boston metropolitan area or is willing to relocate
• W2 position, full-time with availability for 40 hours per week
• Graduated from an accredited college or university with a minimum of a Master’s Degree in Psychology, Social Work, or health-related field.
• Clinical experience in higher levels of care (PHP/IOP, inpatient, psychiatric emergency rooms, residential preferred; will consider PCP IBH or FQHC settings)
• Experience delivering both individual therapy and confidence facilitating groups independently
• Confidence working with Medicaid populations and people with complex social needs
• Proficiency in Google applications or willing to learn new technology quickly (e.g., Slack, Zoom, Electronic Health Record, etc.)

RESPONSIBILITIES

• Provide Evidence-Based Therapy: Deliver both group and individual therapy using evidence-based, measurement-informed practices within PHP and/or IOP settings
• Conduct Patient Assessments: Evaluate patients during intake to determine the appropriate level of care, including Partial Hospitalization Program (PHP), Intensive Outpatient Program (IOP), or external referral to a community partner
• Coordinate Patient Care: Maintain comprehensive treatment plans through case notes, correspondence, interdisciplinary team meetings, and collaboration with external providers such as primary care physicians or therapists
• Address Clinical Needs: Report escalating clinical events, provide crisis care when necessary, and collaborate with the Medical Director to offer recommendations
• Engage in the Care Team: Contributes actively to a cohesive and efficient team environment, demonstrating a proactive approach to daily responsibilities, open communication, and shared decision-making to enhance outcomes
• Ensure Compliance and Documentation: Adhere to HIPAA standards and all relevant documentation and regulatory compliance requirements
• Enhance Care Delivery: Lead efforts to improve clinical pathways and operational processes, and perform additional clinical duties as assigned

BENEFITS

• Base of 65K-95K depending on licensure and experience
• Competitive base compensation and performance incentives
• Flexible time off policy (FTO)
• Medical malpractice insurance for full-time employees
• Medical insurance coverage (health, dental, vision) with no waiting period for enrollment
• Short and long-term disability insurance at no cost to you
• 401K match: 100% of employer match up to first 3% of pay, then 50% of employer match on the next 2% of pay
• Continuing Education (e.g., CME, CEU) reimbursements
• License renewal reimbursement
• Supplemental benefits

WHAT OVERSTORY IS ALL ABOUT

We are guided by our mission to deliver compassionate and connected care to guide individuals through the most challenging times in their lives, one group at a time. These values are at the core of everything we do:

• Dignity for All: We champion dignity in every interaction, ensuring that both patients and team members feel respected, valued, and heard.
• Collaboration: We work together with trust and transparency, fostering an environment where teamwork drives meaningful impact.
• Connection: We build deep, authentic relationships—with our patients, communities, and each other—because strong connections are the foundation of exceptional care.
• Purposeful Innovation: We embrace creativity and progress, ensuring that every new idea or improvement serves our mission and enhances the patient experience.
• Caring Accountability: We take responsibility for our commitments and actions, holding ourselves and each other to high standards while leading with empathy and care.

OUR COMMITMENT TO EQUITY & INCLUSION

Overstory Health is an equal opportunity employer. We are committed to building a diverse and inclusive team that reflects the communities we serve. We believe that embracing different lived experiences, perspectives, and voices makes us stronger and improves the care we deliver. We welcome applicants of all backgrounds, identities, and abilities.

Mission: Overstory Health delivers compassionate and connected care to guide individuals through the most challenging times in their lives, one group at a time.

Vision: Transform Behavioral Healthcare to empower every individual and their community to heal, connect and thrive.

About Overstory Health

Overstory Health is a newly launched startup building world-class, patient-centric Partial Hospitalization (PHP) and Intensive Outpatient (IOP) programs for individuals with high-acuity mental health needs. Our mission is to make compassionate, connected behavioral healthcare more accessible when people need it most. With a clinical model validated by McLean Hospital, we provide comprehensive psychiatric, therapeutic, and community reintegration services that help individuals achieve stability, connection, and confidence both during and after the program. As a growing organization, we offer an exciting opportunity to shape our care model, contribute to our mission, and grow your career as we expand.

About the Role

We are seeking a dedicated and collaborative Lead Therapist (LICSW, LMHC or LMFT) to join our team. In this role, you will contribute to delivering exceptional care and supporting our mission to improve mental health outcomes. You will play a key role in assessing patients, delivering therapy, and supporting both individuals and groups to help them achieve their goals. This is an opportunity to make a tangible impact in a dynamic and innovative environment.

Key Responsibilities

• Focus on Outcomes: Deliver both individual and group therapy using evidence-based, measurement-informed practices that support long-term mental health.
• Collaborate Across Teams: Partner with clinicians, case managers, and external providers to ensure comprehensive and coordinated care.
• Drive Operational Excellence: Conduct clinical assessments, maintain accurate and timely documentation, and ensure compliance with HIPAA and all relevant regulations.

What Success Looks Like

Patients report improved well-being and increased confidence in managing their mental health.
Effective collaboration across teams leads to seamless care coordination and high patient satisfaction.
Consistent achievement of performance goals, including quality, efficiency, and patient outcomes.

Qualifications

Active licensure as a licensed therapist (LICSW, LMHC, or LMFT) in Massachusetts.
Minimum of two years of clinical experience in higher levels of care (PHP/IOP, inpatient, psychiatric emergency rooms, or residential settings preferred; PCP IBH or FQHC settings considered).
Experience delivering both individual and group therapy, with confidence using evidence-based practices such as DBT, CBT, and ACT.
Proficiency in Google applications and willingness to learn department-specific software (e.g., Slack, Zoom, Electronic Health Record systems).

Why Join Overstory Health?

• Make a Meaningful Impact: Help transform the future of behavioral healthcare.
• Collaborate with Experts: Work alongside dedicated professionals passionate about improving mental health.
• Grow with Us: Enjoy opportunities for professional development and career advancement as we expand our services.

Compensation & Benefits

• 100K base salary and performance incentives
• Flexible time off policy (FTO)
• Medical malpractice insurance for full-time employees
• Comprehensive health insurance with no waiting period (medical, dental, vision)
• Short- and long-term disability coverage at no cost to employees
• 401(k) with company match up to 4% of income
• Continuing education and license renewal reimbursements
• Supplemental benefits

Join us in building a future where everyone has access to compassionate, effective mental healthcare.

Come join Overstory Health as a Spanish-speaking Therapist in Boston, MA

Overstory Health is transforming behavioral healthcare by building world-class, patient-centered Partial Hospitalization (PHP) and Intensive Outpatient (IOP) programs for individuals navigating high-acuity mental health challenges. Our mission is simple and bold: to provide accessible, dignified care at the moments people need it most. Backed by a clinical model validated by McLean Hospital, we offer comprehensive psychiatric treatment, evidence-based therapy, and support for reintegration into daily life. We measure our success by our patients’ progress—greater stability, deeper connection, and renewed confidence during and after their time in our programs.

ABOUT THE ROLE

We are looking for a Spanish-speaking Therapist eager to build and deliver care in a world-class innovative IOP program. As a Therapist, you are the heart of our Virtual Intensive Outpatient Program (IOP) program for Spanish-speaking clients. Your daily role will include managing: clinical assessments, group therapy, individual therapy, crisis management, and clinical event documentation / reporting for patients. You will be a leader on the Clinical Team - work closely with the full team, including our Clinic Director and Medical Director, to ensure patients receive world-class services and to help build a program centered around thoughtful, culturally-competent care.

YOU’LL BE A GOOD FIT IF YOU

• Have clinical experience working with higher risk adults with mood and psychotic disorders
• Training and direct care delivery experience in evidence-based practices (such as DBT, CBT, and ACT) and modes (group and individual therapy)
• Have experience in crisis intervention and conflict resolution
• Are eager to be part of a fast-paced dynamic team in a start-up environment; this includes being an adaptive and flexible thinker, a desire to be collaborative across disciplines, and being a pragmatic problem-solver
• Are interested in career growth opportunities within a rapidly growing organization and are willing to wear multiple hats on day one to help the team as needed
• Enjoy working in a non-hierarchical environment where you will give proactive, practical, and confident feedback and opinion

QUALIFICATIONS

• W2 position, full-time with availability for 40 hours per week
• Graduated from an accredited college or university with a minimum of a Master’s Degree in Psychology, Social Work, or health-related field.
• Pre or post-licensure
• Clinical experience in higher levels of care (PHP/IOP, inpatient, psychiatric emergency rooms, residential preferred; will consider PCP IBH or FQHC settings)
• Ability and/or interest in providing clinical supervision to junior team members
• Experience delivering both individual therapy and confidence facilitating groups independently
• Confidence working with Medicaid populations and people with complex social needs
• Proficiency in Google applications or willing to learn new technology quickly (e.g., Slack, Zoom, Electronic Health Record, etc.)

RESPONSIBILITIES

• Provide Evidence-Based Therapy: Deliver both group and individual therapy using evidence-based, measurement-informed practices within PHP and/or IOP settings
• Conduct Patient Assessments: Evaluate patients during intake to determine the appropriate level of care, including Partial Hospitalization Program (PHP), Intensive Outpatient Program (IOP), or external referral to a community partner
• Coordinate Patient Care: Maintain comprehensive treatment plans through case notes, correspondence, interdisciplinary team meetings, and collaboration with external providers such as primary care physicians or therapists
• Address Clinical Needs: Report escalating clinical events, provide crisis care when necessary, and collaborate with the Medical Director to offer recommendations
• Engage in the Care Team: Contributes actively to a cohesive and efficient team environment, demonstrating a proactive approach to daily responsibilities, open communication, and shared decision-making to enhance outcomes
• Ensure Compliance and Documentation: Adhere to HIPAA standards and all relevant documentation and regulatory compliance requirements
• Enhance Care Delivery: Lead efforts to improve clinical pathways and operational processes, and perform additional clinical duties as assigned

BENEFITS

• Competitive base compensation and performance incentives
• Flexible time off policy (FTO)
• Medical malpractice insurance for full-time employees
• Medical insurance coverage (health, dental, vision) with no waiting period for enrollment
• Short and long-term disability insurance at no cost to you
• 401K match up to 4% of income
• Continuing Education (e.g., CME, CEU) reimbursements
• License renewal reimbursement
• Supplemental benefits
• Compensation from $65-100K based on licensure status and experience

Mission: Overstory Health delivers compassionate and connected care to guide individuals through the most challenging times in their lives, one group at a time.

Vision: Transform Behavioral Healthcare to empower every individual and their community to heal, connect and thrive.

Values:

• Dignity
• Collaboration
• Connection
• Purposeful Innovation
• Caring Accountability

Come join Overstory Health as a Group Therapist (Part-Time) in Boston, MA

Overstory Health is building world-class, patient-centric Partial Hospitalization (PHP) and Intensive Outpatient (IOP) programs for individuals with high-acuity mental health needs. Our mission is to make compassionate, connected behavioral healthcare more accessible when people need it most. With a clinical model validated by McLean Hospital, we provide comprehensive psychiatric, therapeutic, and community reintegration services that help individuals achieve stability, connection, and confidence both during and after the program. As a growing organization, we offer an exciting opportunity to shape our care model, contribute to our mission, and grow your career as we expand.

About the Role

We are seeking a dedicated and collaborative Group Therapist (Part-Time) to join our team. In this role, you will deliver exceptional group therapy and support our mission to improve mental health outcomes. You will play a key role in guiding patients through their therapeutic journeys, fostering resilience and self-efficacy. This is an opportunity to make a tangible impact in a dynamic, innovative, and flexible environment.

Key Responsibilities

• Focus on Outcomes: Deliver evidence-based group therapy using practices such as DBT, CBT, and ACT to help patients build tools for long-term mental health.
• Collaborate Across Teams: Partner with clinicians, case managers, and external providers to ensure comprehensive, coordinated care.
• Drive Operational Excellence: Maintain comprehensive treatment plans, ensure accurate documentation, and adhere to HIPAA and all relevant compliance regulations.

What Success Looks Like

• Patients report improved well-being, emotional regulation, and increased confidence in managing their mental health.
• Effective collaboration with care teams results in seamless patient experiences and measurable clinical improvements.
• Consistent achievement of performance goals related to quality, efficiency, and patient outcomes.

Qualifications

• Pre or Post licensed therapists in Massachusetts.
• Minimum of one year of clinical experience in higher levels of care, such as PHP, IOP, inpatient, psychiatric emergency rooms, or residential settings.
• Experience facilitating group therapy and confidence in crisis intervention and conflict resolution.
• Proven ability to build rapport with diverse populations, including Medicaid patients and individuals with complex social needs.
• Proficiency with technology platforms such as Slack, Zoom, and Electronic Health Records.

Why Join Overstory Health?

• Make a Meaningful Impact: Help transform the future of behavioral healthcare by supporting patients during critical moments in their lives.
• Collaborate with Experts: Work alongside a passionate team dedicated to improving mental health outcomes.
• Grow with Us: Enjoy opportunities for professional development and career advancement as we expand our services.

Position Details

• Part-time position with availability for 6-20 hours per week
• Must be available weekday day or evenings (Monday-Friday) to align with program schedules
• Residing in or willing to relocate to Boston, MA where out clinic is located

WHAT OVERSTORY IS ALL ABOUT

We are guided by our mission to deliver compassionate and connected care to guide individuals through the most challenging times in their lives, one group at a time. These values are at the core of everything we do:

• Dignity for All: We champion dignity in every interaction, ensuring that both patients and team members feel respected, valued, and heard.
• Collaboration: We work together with trust and transparency, fostering an environment where teamwork drives meaningful impact.
• Connection: We build deep, authentic relationships—with our patients, communities, and each other—because strong connections are the foundation of exceptional care.
• Purposeful Innovation: We embrace creativity and progress, ensuring that every new idea or improvement serves our mission and enhances the patient experience.
• Caring Accountability: We take responsibility for our commitments and actions, holding ourselves and each other to high standards while leading with empathy and care.

OUR COMMITMENT TO EQUITY & INCLUSION

Overstory Health is an equal opportunity employer. We are committed to building a diverse and inclusive team that reflects the communities we serve. We believe that embracing different lived experiences, perspectives, and voices makes us stronger and improves the care we deliver. We welcome applicants of all backgrounds, identities, and abilities.

Join us in shaping the future of compassionate, connected mental healthcare.  Apply today to become a vital part of the Overstory Health team.