The Future Standard Global Engineering team is seeking an Engineering Analyst to collaborate with all members of the Global Engineering group and broader business units in support of firmwide technical objectives. This role plays a pivotal part within the organization, engaging stakeholders across Sales, Operations, Marketing, and Research. The Engineering team provides essential technical leadership throughout the firm, primarily focused on enhancing value and efficiency through data cleansing, process automation, and the ongoing improvement of business applications. The role will give deep exposure to industry leading vendors, cutting edge Technology providers, and internal subject matter experts.

RESPONSIBILITIES:
— Develop expertise and collaborate with team members on business areas, systems and relevant data to support critical decision-making. 
— Participate as a key contributor in impactful projects within Global Engineering.
— Engage in design, development, implementation and/or optimization of solutions, improving our technical platforms and competitive position.
— Deepen technical capabilities in areas such as backend processing services using Java, Springboot, NodeJS, Python; user interface development using frameworks like Reactjs/Nextjs; RAG apps builds for AI driven non-structured data processing using approved LLM integrations; complex query authoring using SQL and relational databases.
— Use AI based code assistants to improve development speed and generate test cases detailed automated tests and debugging across the stack.
— Collaborate and communicate with colleagues and stakeholders.
— Support tracking of key deliverables, issues and prioritization of tasks within an agile framework.
— Document designs, solutions, processes and suggest ideas to improve workflows and systems.
— Design and implement robust solutions to improve the scalability and efficiency of a configuration-driven technical platform.
— Investigate system events to track, investigate, and resolve defects as required.

QUALIFICATIONS: 
— Bachelor’s degree in Engineering, Computer Science, Mathematics, Information Technology, or a related field required.
— Prior experience with SQL, R, Scala or Python languages. 
— Proficiency in organizational skills with ability to work on multiple projects simultaneously and keep order in dynamic environment. 
— Systematic thinking with capability of considering edge cases and boundary conditions.
— Exposure in development skills with at least one programming language - Python, Java.
— Sound understanding of Data structures and Algos.
— Knowledge of AWS products and Microsoft Azure (e.g. S3, EC2, Lambda).
— Knowledge of Snowflake, dbt or other cloud tools.
— Effective communicator with verbal and written proficiency.
— Team player who enjoys building trusted partnerships with colleagues and stakeholders.

This position is not eligible for work visa sponsorship.

CoreWeave, the AI Hyperscaler™, acquired Weights & Biases to create the most powerful end-to-end platform to develop, deploy, and iterate AI faster. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe, and was ranked as one of the TIME100 most influential companies of 2024. By bringing together CoreWeave’s industry-leading cloud infrastructure with the best-in-class tools AI practitioners know and love from Weights & Biases, we’re setting a new standard for how AI is built, trained, and scaled.

The integration of our teams and technologies is accelerating our shared mission: to empower developers with the tools and infrastructure they need to push the boundaries of what AI can do. From experiment tracking and model optimization to high-performance training clusters, agent building, and inference at scale, we’re combining forces to serve the full AI lifecycle — all in one seamless platform.

Weights & Biases has long been trusted by over 1,500 organizations — including Nvidia, Canva, Cohere, Meta, Snowflake, Square, Toyota, and Amazon — to build better models, AI agents and applications. Now, as part of CoreWeave, that impact is amplified across a broader ecosystem of AI innovators, researchers, and enterprises.

As we unite under one vision, we’re looking for bold thinkers and agile builders who are excited to shape the future of AI alongside us. If you're passionate about solving complex problems at the intersection of software, hardware, and AI, there's never been a more exciting time to join our team.

About the Role:

As an AI Solutions Engineer you will sit at the intersection of cutting-edge AI infrastructure and the world’s most ambitious AI teams. You will help customers design, deploy, and scale modern ML and GenAI systems using Weights & Biases and CoreWeave’s AI cloud. This role combines hands-on technical depth with strategic customer engagement — ideal for AI practitioners who enjoy building real systems, solving complex problems, and shaping how AI is developed and operationalized at scale.

What You’ll Do:

• Own the technical wins by building proof of value (PoVs). You’ll be partnering with Account Executives to drive discovery, solution design, and successful technical evaluations.
• Lead deep technical conversations with ML engineers, researchers, and platform teams to understand their AI/GenAI workloads and architect scalable solutions across the CoreWeave and Weights & Biases ecosystem .
• Design and deliver compelling live demos, proof-of-value engagements, and rapid prototypes showcasing experiment tracking, distributed training, agentic workflows, fine-tuning, evaluation, and inference at scale.
• Architect modern ML and GenAI systems including distributed training, RAG pipelines, multi-agent systems, LLM fine-tuning workflows, and inference solutions.
• Translate business objectives into measurable technical outcomes such as model quality improvements, cost reductions, performance gains, and faster iteration cycles.
• Serve as a trusted technical advisor, influencing architectural decisions and best practices across MLOps, LLMOps, and platform engineering.
• Partner closely with Product and Engineering to relay customer feedback, shape roadmap priorities, and improve the end-to-end AI developer experience.

Who You Are:

• 2+ years of experience in Solutions Engineering, ML Engineering, AI Engineering, or a similar customer-facing technical role.
• Bachelors degree in Computer Science, Data Science, Electrical Engineering, Statistics, Mathematics, or related field. Master in similar area of study preferred.
• Strong proficiency in Python (bonus: TypeScript/JavaScript) and experience building production-grade ML or GenAI applications.
• Hands-on experience training, fine-tuning, evaluating, debugging, and deploying deep learning or LLM-based systems.
• Experience with modern GenAI architectures including retrieval-augmented generation (RAG), tool-using agents, evaluation frameworks, and guardrails.
• Comfortable designing cloud-native architectures across AWS, GCP, or Azure, with working knowledge of containers, networking fundamentals, and security best practices.
• Able to whiteboard distributed training or inference architectures and then implement working prototypes that demonstrate real customer value.
• Excellent communication and storytelling skills, with the ability to translate complex technical concepts into business impact.
• Thrives in fast-paced environments and can manage multiple customer engagements simultaneously.

Preferred:

• Experience building and evaluating agentic applications using frameworks such as LangChain, DSPy, LlamaIndex, CrewAI, OpenClaw, or similar ecosystems. Ability to quickly adapt to new frameworks is a huge plus.
• Familiarity with vector databases, embeddings workflows, and LLM evaluation frameworks (e.g., Ragas, TruLens, DeepEval).
• Hands-on experience with Hugging Face Transformers, PEFT/LoRA/QLoRA fine-tuning, TRL, Unsloth, or similar fine-tuning stacks. Big plus if experience using RL to improve agentic systems. 
• Experience operating distributed workloads using Slurm, Ray, or Kubernetes.
• Experience with inference optimization and serving frameworks such as vLLM, TensorRT-LLM, Triton, or TGI.
• Experience in MLOps/LLMOps platform engineering or supporting enterprise AI deployments.

The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

How you will help

Accelerate customer and partner needs into clear, reliable, and scalable data and AI solutions, while strengthening HealthVerity’s engineering framework through real-world application and feedback.

As an AI Staff Engineer at HealthVerity, you will embed with customers and cross-functional teams to rapidly translate complex business problems into well-designed data flows, AI-enabled capabilities, and production-ready systems. You will help turn fragmented or bespoke customer requirements into smooth, repeatable data processes that align with our platform strategy.

Through hands-on delivery, you will also advance HealthVerity’s engineering and AI frameworks; validating patterns, surfacing gaps, and shaping standards that make it easier for teams to build, deploy, and operate intelligent data products at scale.

What you will do

• Lead technical discovery engagements with customers or internal partners to deeply understand business workflows, constraints, data realities, and success criteria.
• Rapidly prototype and iterate on pragmatic solutions; often using AI/ML, data pipelines, and backend services to validate value early and reduce delivery risk.
• Design and deliver production ready systems, including APIs, data pipelines, ML workflows, and cloud-native services, aligned with HealthVerity’s architecture and security standards.
• Own deployments and scaling efforts, troubleshooting complex issues across data, infrastructure, and application layers in real customer environments.
• Translate field learnings into leverage, feeding actionable insights back into product strategy, platform roadmap decisions, and reusable engineering patterns.

How success will be defined

• Successfully deliver multiple high-impact customer or partner engagements, translating ambiguous business needs into production-ready technical solutions.
• Drive adoption and demonstrated the value of HealthVerity platform capabilities within real customer environments.
• Build strong, trusted relationships with customers and internal stakeholders, reflected in consistently positive feedback on technical delivery and collaboration.
• Influence product and platform direction by bringing concrete, field-driven insights into roadmap, architecture, and prioritization discussions.
• Leave behind durable, maintainable solutions and reusable patterns that scale beyond individual engagements.

Required skills and experience

• 8+ years of software engineering experience, delivering production systems in Python, and/or JavaScript/TypeScript.
• Experience building data-intensive, distributed systems, including APIs, data pipelines, and cloud-native services (AWS or similar).
• Demonstrated experience owning and productionizing AI/ML solutions—taking them beyond experimentation into reliable, monitored workflows and systems
• Strong ability to operate in ambiguous, customer-driven problem spaces and make sound technical decisions.
• Clear communicator with the ability to work effectively across engineering, product, and customer teams.

Desired skills and experience

• Experience working in regulated or compliance-driven environments (e.g., healthcare, life sciences, financial services).
• Background in customer-facing or domain-embedded engineering roles (e.g., forward-deployed, solutions, or consulting).
• Familiarity with modern data platforms and analytical workloads (e.g., Databricks, Spark, Snowflake).
• Experience influencing product or platform direction through real-world delivery or field-driven insights.

Base salary for the role is commensurate with experience and can range between $170,000 - 220,000 + annual bonus opportunity.

Your Impact

You will lead revenue accounting operations and serve as a strategic partner to FP&A, Commercial Controllership, IT, Professional Services, and Sales. You will ensure accurate and compliant revenue recognition under ASC 606 while strengthening processes, controls, and scalability across a complex, multi-element revenue environment.
This role requires deep revenue accounting expertise in a fast-paced, public company setting.

This role would require relocation to Boston. This role follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

Reports to: Director, Revenue Accounting

What You’ll Do

• Lead day-to-day revenue accounting, including key revenue streams, journal entries, reconciliations, and disclosures.
• Ensure accurate revenue recognition and related accounts in compliance with ASC 606.
• Review and document technical accounting conclusions for complex contracts and multi-element arrangements (hardware, SaaS, professional services).
• Partner cross-functionally to evaluate contracts, resolve revenue issues, and optimize order-to-cash processes.
• Oversee monthly and quarterly close activities, analytics, and revenue reporting.
• Maintain and strengthen internal controls and support internal and external audits, including SOX compliance.
• Drive process improvements, automation, and system enhancements to improve efficiency and scalability.
• Coach and develop team members while fostering a high-performance culture.

What You Bring

• Bachelor’s degree in Accounting or Finance required; CPA preferred.
• 7+ years of progressive revenue accounting experience, including required ASC 606 experience in a publicly traded company environment.
• Strong technical expertise in complex revenue arrangements across hardware, SaaS, and professional services.
• Experience operating in a SOX-compliant environment and supporting audits.
• Demonstrated cross-functional partnership with Sales, FP&A, IT, and Operations.
• ERP experience required (D365 or comparable system); advanced Excel skills.
• Experience with automation and data tools (e.g., Sigma, Snowflake, Power BI, Salesforce, RevStream) strongly preferred.
• Finance or FP&A experience a plus.
• Strong analytical and communication skills, with the ability to translate complex accounting matters clearly.
• Proactive, solutions-oriented mindset with a focus on process improvement and scalability.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

Delivering Customer Success is an important focus for Dataiku. As a Customer Success Engineer (CSE) within our Solutions Engineering team, you’ll help Dataiku’s customers achieve meaningful outcomes with business analytics, AI/ML, and Gen AI. 

In this technical and consultative customer-facing role, you’ll focus on technical programming to increase adoption through product enablement and one-to-many user engagement. You’ll leverage your understanding of enterprise analytics, high-impact communication abilities, and hands-on data science skills to add business value. This role will also partner closely with cross-functional teams, including Account Executives, Sales Engineers, and Professional Services and Partners to accelerate end-user adoption.

How you’ll make an impact 

• Work closely with Dataiku’s customers, focusing on onboarding, increasing user adoption, retention, and satisfaction.
• Possess deep technical knowledge of the Dataiku platform to educate customers on best practices within the Dataiku platform. 
• Develop a deep understanding of customer business, use cases, and outcomes to guide their success with Dataiku's products and services.
• Execute demonstrations of new product features and conduct hands-on workshops in collaboration with the Sales Engineers. 
• Establish regular touchpoints with customers to advise users on using Dataiku for their specific business needs, including hands-on support as appropriate.
• Execute programs to create self-sustaining enablement and evangelism of Dataiku within customer accounts.
• Collaborate with Account Executives and Sales Engineers to drive customer engagements with the Dataiku platform and identify opportunities for expansion (both software and professional services) that can drive additional value for customers.
• Document and share the adoption status and key information to inform internal forecasting and renewal.
• Collaborate with other Dataiku functions (such as marketing) on capturing and sharing the customer stories publicly. 
• When identifying technical issues that block user adoption, coach administrators and users to initiate support tickets for timely resolution. 
• Stay current on Dataiku’s products, competitive landscape, and data science trends.
• Willingness to travel up to 25%.

What you’ll need to be successful

• Bachelor’s degree in Data Science, Business Analytics, Statistics, Computer Science, or a related technical field.
• Minimum of four years of experience in sales engineering, technical or solutions consulting, post-sales technical delivery, or data science roles with a proven track record of customer trust and satisfaction.
• Strong written and oral presentation skills, capable of engaging both business and technical stakeholders.
• Strong technical, analytical, and problem-solving skills.
• Experience in building and operating communities of practice.
• Ability to navigate ambiguity, build consensus, foster accountability, and work with urgency to deliver customer outcomes.
• Ability to tailor messaging to personas with varying levels of technical acumen, including no-code and high-code users
• Dataiku advanced designer, Snowflake SnowPro Core and Databricks Business Analyst certifications preferred (not required).
• Preferably located within the Northeast region of the United States. 

What will make you stand out

• Never-ending intellectual curiosity, detail-oriented, and analytical.
• Hands-on experience with data storage and computing infrastructure (SQL, Kubernetes, etc.) and proficiency with Python, R, SQL
• Knack for public speaking with appreciation for engaging with all levels of customer teams, from individual contributors to leadership.
• Passion for technology, the data and analytics space, and enjoyment learning new solutions, features, and functionalities, translating these into business value for customers.
• Experience in Analytics/AI or other enterprise software (preferred but not required).

WHAT WE DO

Our Data and Analytics consultants work with clients at all levels of the organization, from the C-suite to the shop floor, helping them to deliver on their most strategic initiatives. We’re known for making realistic, data-driven decisions that deliver value in tangible ways to our clients. Our clients ask for us on projects that require a superior combination of technical and business capabilities, people and management skills, and a collaborative mindset. We excel in understanding complex programs and strategic initiatives and breaking them into actionable pieces.

We are actively looking for professionals in the following areas:

• Data Strategy
• Data Governance
• Data Modernization
• Advanced Analytics
• Data Visualization

The ideal candidate’s experience may include but is not limited to the following:

• Have experience understanding and solving real business problems
• Have experience with presenting business case and strategy to the C-Suite
• Bring industry domain knowledge for custom data and analytics strategies
• Experience in designing and implementing data driven products and services
• Experience in designing and building high performance collaborative business and technology teams that deliver high value data solutions, data products and data analytics

Ideal candidates may call themselves Data Architects, Data Engineers, Data Scientists, Analysts and Data Governance professionals. Experience may include but not limited to the following:  

Data Strategy and Governance

• Intimately familiar with data technologies, data architecture frameworks, cloud platforms and the emerging trends in technological advancements.
• Proven experience in transforming our clients from on-prem data platforms to the cloud.
• Lead data modernization initiatives that include platform, technology and tools implementation and adoption.
• Must have experience in architecting and implementing data architecture, data engineering, reporting and analytical solutions across multiple business functions and domains.
• Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
• Demonstrate a rigorous and analytical problem-solving approach, leading information-gathering sessions and preparing and delivering client presentations and work products/prototypes.
• Identify data governance gaps and assess data governance maturity in a complex data environment. Should also be able to Identify the implications for data governance that arise from the technology, current processes, and skill levels in a complex data environment.

Data Architecture and Engineering

• Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing.
• Experience designing and building data platforms that support data lakes, data stores, data ingestion and transformations and API services for consuming data
• Ability to design and build complex data pipelines that either stream data in
• Experience and knowledge of programming and scripting languages, such as but not limited to Python, Node.JS and SQL
• Experience and knowledge of data integration tools and platforms
• Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
• Ability to design and build data models using the appropriate technics to meet business objectives
• In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.

Advanced Analytics and Data Visualizations

• Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire
• Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods
• Experience and knowledge of programming and scripting languages such as, but not limited to, SQL, Python and R
• Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep
• Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
• Experience deploying enterprise-wide reporting solutions while leveraging data visualization best practices

A career at SEI extends well beyond providing great service and thought leadership to our clients. Everyone takes an active role in building and managing our business, in an environment that runs counter to traditional consulting firms. Our consultants have a “seat at the table” and contribute to growing our business in ways that align to their interests such as growing business development opportunities, conducting interviews to support our hiring process, managing internal initiatives that build our brand or organizing trainings to share what you know with your colleagues. There is no telling what an SEI Consultant will be asked to do on a day-to-day basis – we do what it takes to get the job done.

QUALIFICATIONS

Required-

• Alignment to our core values: Excellence, Participation, Integrity and Collaboration
• Hungry, Humble, Smart
• Demonstrated business and technology acumen
• Strong written and verbal communication skills
• Understanding and experience solving real business problems
• Proven track record of delivering results
• Experience working with and/or leading a team
• Ability to work across industries, roles, functions & technologies
• Authorization for permanent employment in the United States (this position is not eligible for immigration sponsorship)

Preferred-

• Bachelor’s degree
• 8+ years professional experience
• Experience across our service offerings