Position Summary: 

Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Machine Learning Engineer.  We are looking for a software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. 

In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. 

Responsibilities: 

• Develop and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc. 

• Develop and maintain backend services using Python, focusing on AI-driven applications. 

• Design and implement APIs for seamless integration with AI models and services. 

• Develop tools for large-scale data processing and ETL and contribute to extracting insights from data to help guide ML systems development 

• Participate in code reviews, testing, and quality assurance processes. 

• Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services. 

• Develop algorithms to ensure the integrity and robustness of ML solutions by developing automated testing and validation processes. 

• Document and communicate development processes and implementation details with peers and supervisors 

• Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. 

Required Qualifications: 

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field. 

• 2+ years experience in the industry with a strong focus on ML solutions development and production deployment is a plus. 

• Good understanding of Machine Learning fundamentals such as Deep Neural Networks, Transformer-based LLM and MLMs, Boosted or standard decision trees, RAG, etc.  

• Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development. 

• Proficiency in Python and familiarity with ML libraries such as PyTorch. 

• Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Some experience in developing and fine-tuning prompts on any of the GenAI services is a plus. 

• Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking. 

• The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment. 

• Good written communication skills that enable collaboration in a remote environment. 

Scale is a vital part of bringing AI-enabled technologies to the world, from autonomous driving to drones, robots, and large language models. For example, Scale works with the world's top self-driving car and robotics ML teams as well as the largest companies in the generative AI space. 

As our customer base is growing, you will be on the front lines of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers.

Our Field Engineers ensure customers' experiences with Scale's technology are seamless and optimized to build a successful, long-term partnership. Field Engineers partner closely with Product, Engineering, and Operations to lead existing customers through building production-grade data pipelines. We do this by knowing our customer’s use-cases inside and out, and creating the tooling and documentation needed to scalably support their growth.

Field Engineers in general are experts on Scale's products and codebase, and have general technical knowledge on web development, using APIs, and working with large volumes of data. Field Engineers are strong relationship builders, great project managers, and always fun to work with. 

The ideal person is a software engineer generalist who enjoys working with clients directly, taking ambiguous requirements and issues, and quickly designing and building sustainable solutions in close collaboration with the Product and Engineering teams. This role is at the intersection of customer delivery, product, and engineering, giving you a breadth of experience and fully leveraging both sides of your brain. If this sounds like you, we invite you to apply!

You will:

• Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back
• Work closely with our customer’s engineering teams to optimize data pipelines, including providing input towards designing API endpoints and input/output schemas
• Design, develop and maintain playbooks, internal tools, Scale’s documentation and SDKs to quickly get customers set up for long-term success
• Partner with Software Engineers and Operations to remove any technical hurdles customers may face / Debug technical issues impacting delivery and own technical escalations coming from the customer
• Be accountable for the customer’s technical experience throughout their time with Scale
• Work with AEs and PMs to identify customer-specific feature requests
• Develop technical domain expertise in areas of Large Language Models, 2D Image Annotation, and working with API integrations
• Evangelize Scale and interact with customers at major events
• Have an active TS/SCI clearance

Ideally you'd have:

• Track record of success as a hybrid customer-facing engineer or similar function, wearing multiple hats along the way
• Prior technical hands-on experience working with clients in a pre or post-sales capacity to realize business goals
• Prior experience developing with Python and JavaScript, or other modern software languages
• Strong engineering background preferably in Computer Science, Mathematics, or other quantitative fields
• Strong project management and interpersonal skills
• Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers
• High level of comfort communicating effectively across internal and external organizations
• Intellectual curiosity, empathy, and ability to operate with high velocity

Nice to haves:

• Experience in AI
• Experience working in classified environments
• Previous experience as a technical go-to-market resource
• Understanding of DevSecOps principles, including secure software delivery, infrastructure as code, and continuous integration/deployment
• Hands-on knowledge of container orchestration with Kubernetes and experience with Helm charts for application deployment
• Experience automating infrastructure and configuration management using Ansible or similar tools

About the Role

We’re looking for an experienced Product Manager to own Monitoring and Observability—a critical pillar of our Enterprise Platform group. In this role, you will help our largest and most sophisticated customers easily understand how their data pipelines are performing. You'll focus on delivering a world-class observability experience, ensuring that Fivetran remains easy to use even as our capabilities expand in scale and complexity.

We’re looking for someone who can bring AI-native thinking to how our platform evolves—whether it’s in accelerating development with intelligent defaults, enabling automated observability, or expanding how customers build with Fivetran programmatically.

This is a high-impact, high-visibility role, perfect for product leaders who thrive on technical challenges, tight feedback loops, and opportunities to shape long-term platform strategy.

This is a full-time, hybrid position based out of our Oakland, CA or Denver, CO office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

What You’ll Do

• Own and evolve the Monitoring & Observability product area: logging, alerting, sync status, latency monitoring, event standardization, and external integrations.
• Develop a strategic roadmap that improves transparency into Fivetran connection behavior, with a focus on supporting Enterprise-grade monitoring requirements.
• Partner closely with engineering and design to deliver intuitive experiences for customers to monitor, debug, and optimize their data syncs—and integrate seamlessly with their existing observability stack.
• Prioritize product investments based on revenue-weighted feature usage, customer feedback, support ticket trends, and roadmap alignment with adjacent platform teams.
• Serve as the subject matter expert for observability across Fivetran and champion platform consistency in user experience and technical implementation.
• Drive cross-functional alignment and go-to-market readiness for major product launches.
• Stay on the pulse of trends in developer platforms, data infrastructure, and enterprise tooling—with an eye toward AI-first opportunities.

Skills We’re Looking For

• Product management experience in B2B SaaS or platform products.
• Demonstrated success leading technical products with high customer expectations for reliability and observability.
• Strong technical fluency—comfortable working with logs, events, monitoring pipelines, and API-based integrations.
• Proven collaboration skills across Engineering, Design, Support, and GTM.
• Data-informed mindset with experience using both qualitative and quantitative inputs to drive prioritization.
• Ability to execute cross-functionally in a high-growth, fast-paced environment.

Bonus Skills

• Experience with observability or monitoring tools (e.g., Datadog, Splunk, New Relic).
• Familiarity with enterprise logging pipelines or SIEM integrations.
• Background in data integration, ETL/ELT, or developer platforms.

#LI-HYBRID #LI-KM3

Job Duties:

• Communicate and execute company standards for estimating electrical design, utilizing P/S, D/A, and D/B estimating processes 

• Assist in building and planning projects supporting our company metrics 

• Manage assigned projects from start to completion with responsibility for the final bid proposal 

• Utilize Accubid software to manage project set up, take-off, and review bid documents for deficiencies 

• Secure and review subcontractor and material quotations 

• Maintain client satisfaction ratings of 4+ 

• Demonstrate and embrace our company values, our PACT:  People, Advance Process, Community, and Trusting Relationships 

Skills/Qualifications:

In addition to holding yourself to high standards and having a passion for being the best, you will 

• Have at least 2+ years of experience with both Commercial and Industrial Electrical estimating

• Possess an entrepreneurial approach to problem solving 

• Demonstrate excellent quantitative and analytical skills 

• Have an excellent understanding of the electrical industry 

• Bring excellent computer skills with high competency in Accubid, MS Office, including Bluebeam, with capacity to learn new software quickly 

• Enjoy being part of a team, providing leadership, and producing high quality electrical workmanship 

• Be highly curious, self-motivated, and flexible 

Benefits:

• Health Insurance- Up to 80% of the Employee portion paid.
• Health Savings Account (HSA) optional enrollment
• Paid Time Off after waiting period.
• 401k after 90 days of employment with a company match up to 4% (Employees are 100% vested after 90 day waiting period.)
• Employee paid Dental, Vision, Life and Accident Insurance

We are “Leading the Change” in the energy services industry. Our growth and successes have not changed who we are. We live our core values every day:

WE TAKE ACTION

WE DO WHAT WE SAY

WE LEAD BY EXAMPLE

WE DO THE RIGHT THING

WE PRACTICE STEWARDSHIP

*Loenbro is an Equal Opportunity Employer.

The Analyst will support business process management of business processes that are critical to the operation of the broader supply chain for the US Network Design team. Responsibilities include using data to optimize customer demand across our end-to-end logistics supply chain, unlocking significant cost reduction, increasing reliability, and improving our customer experience as we continue to scale. The Analyst will be tasked with identifying and driving continuous improvement opportunities, developing and monitoring the right metrics, and contributing to strategic projects while interacting with cross-functional partners. 

You will…

• Develop, improve, and maintain tools to support logistics network processes, serving as the owner for specific processes and own necessary database improvements that support decision making across key metrics
• Be the subject matter expert in all aspects of HelloFresh’s distribution & shipping network
• Measure the performance of the network processes through developing, tracking, and reporting on KPIs
• Support the development and optimization of processes to grow and scale the logistics network improving cost, quality, and scalability
• Prepare project plans, status and performance updates, continuous improvement opportunity evaluations, and other types of presentation materials, for various audiences
• Drive a customer-focused environment committed to delivering the highest quality product to our customers

You are...

• Data-driven – You can organize, explore, and synthesize unstructured data into actionable insights to better inform operational decision-making
• Strategic - You recognize and resolve situations that are ambiguous or challenging and use logic to identify alternatives, evaluate, and present solutions while thinking about contingency plans
• Agile – You thrive in fast-paced dynamic environments and are comfortable working autonomously
• An excellent communicator –You are able to communicate at all levels with clarity, poise, maturity, and precision both written and verbal
• A self-starter - You are comfortable working autonomously; you’re eager to take on new projects without knowing exactly what you will uncover
• Customer-focused - You aim to achieve a customer experience and product that is second to none

You have:

• Bachelor’s degree in Business Administration, Economics, Data Science, Computer Science, Information Systems, Accounting, Supply Chain major other relevant areas of study required
• 1-2 years of experience delivering analytical solutions to complex problems; executing processes and/or managing tools that drive/enable business activities required
• Excellent quantitative and analytical skills - able to gather, organize, analyze, visualize, and present data to enable decision-making
• Proficiency in spreadsheet applications such as Excel and Google Sheets, including data analysis, pivot tables, and complex formula development
• Fluency in SQL demonstrating the ability to adapt existing queries and develop new ones
• Basic understanding of Python and data visualization software (e.g. Tableau), with significant interest in further developing these skills
• Experience in project management and supply chain operations preferred

You’ll get…

• Competitive hourly rate, 401K company match that vests immediately upon participation, & team bonus opportunities
• Generous PTO and flexible attendance policy 
• Comprehensive health and wellness benefits with options at $0 monthly, effective first day of employment
• Up to 85% discount on subscriptions to HelloFresh meal plans (HelloFresh, Green Chef, Everyplate, and Factor_)   
• Access to Employee Resource Groups that are open to all employees, including those pertaining to BIPOC, women, veterans, parents, and LGBTQ+
• Inclusive, collaborative, and dynamic work environment within a fast-paced, mission-driven company that is disrupting the traditional food supply chain

This job description is intended to provide a general overview of the responsibilities. However, the Company reserves the right to adjust, modify, or reassign work tasks and responsibilities as needed to meet changing business needs, operational requirements, or other factors

Our company is committed to fair hiring practices and complies with all applicable laws, including the Colorado Job Application Fairness Act (JAFA). In accordance with JAFA, we will not request your age, date of birth, or dates of attendance at or graduation from an educational institution on your initial application for employment.

The Manager of Accounting is a member of the Finance leadership team and responsible for Inventory Accounting, process and procedures for all of our brands. The position reports to the Sr. Manager of Accounting who oversees all Inventory Accounting for HelloFresh, EveryPlate, Factor, Green Chef and GoodChop and closely collaborates with our FP&A, Data & Finance Operations, Treasury, and Tax teams. You have the technical background but are also a great team leader that chaperones the development of the Accounting team through our continued growth phase and collaborates closely with other business functions to improve financial processes.

You will …

• Act as a subject matter expert on costing and inventory treatment of accounting transactions and related financial reporting requirements, explore and offer solutions and best practices.
• Manage and develop a team to work efficiently and effectively on reporting needs.
• Manage the inventory monthly close function, ensure completeness and accuracy of accounting records, and administer a strict timeline
• Develop a strong understanding of the available data and data sources and provide analysis of the potential risks for each and help create solutions.
• Coordinate and drive inventory valuation and assist month-end close and financial reporting for inventory accounts.  
• Support reporting requirements including audit schedules, quarter-end, and year-end month-end closing tasks.
• Maintain relationships with business partners including working closely with the FP&A and Operational functions to increase transparency on business performance and support cost control. 
• Assist in special projects or requested cost analysis.

Your qualities...

• Must have consumer products/manufacturing experience with standard costing.
• Data driven and curious to find and develop better practices.
• Thorough understanding of supply chain, receiving, inventory flow, operations process, and cost accounting principles.
• Able to work comfortably under pressure and work towards tight deadlines.
• A strong sense of ownership and attention to detail.
• Drive to continuously improve and build processes.
• Highly advanced Excel and data organization skills
• Ability to resolve escalated issues from the team.

At a minimum, you have...

• >5 years of combined experience in public accounting and/or corporate accounting functions, CPA is preferred but not required.
• 2+ years of managing experience
• Substantive quantitative skills and proficiency in Excel.
• Strong technical accounting background; knowledge of IFRS is a strong plus.
• Experience in fast-growth environments and/or inventory-based E-Commerce businesses preferred.

You’ll get…

• Competitive Salary & 401k company match that vests immediately upon participation 
• Generous parental leave of 16 weeks & PTO policy 
• $0 monthly premium and other flexible health plans 
• 85% discount on your subscription to HelloFresh (as well as other product initiatives)   
• Employee Resource Groups 
• Collaborative, dynamic work environment within a fast-paced, mission-driven company  

Hudson River Trading (HRT) is a quantitative trading firm at the forefront of technological innovation in global financial markets. We build and deploy cutting-edge systems within one of the world’s most sophisticated computing environments for large-scale research and trading. Our research cluster is the backbone of our success—an HPC environment with GPU and CPU fleets larger than many national labs—and our people are our most important differentiator.

We are seeking a Hardware Strategy & Technology Partnership Lead to bridge the gap between hardware engineering and the technology supply chain. In this role, you will be the primary architect of HRT’s relationships with OEMs, ODMs, and silicon vendors. The ideal candidate understands the CSPs’ business models and how they differentiate, and possesses the expertise to navigate both the bare-metal world and the hyper-scaler ecosystem to ensure HRT always has a competitive edge in compute power and efficiency. You understand the "chip and server" business at a molecular level—not just what an R200 GPU or a Venice processor can do, but how the supply chain, the margins, and vendor roadmaps dictate the industry’s future.

Responsibilities

• Strategic Relationship Management: Lead HRT’s primary relationships with top-tier silicon (CPU/GPU/Storage), server and cloud vendors. Partner with their engineering and product teams to influence roadmaps and secure early access to next-gen tech.
• Vendor Negotiations: Own the end-to-end commercial and technical negotiation process. Leverage your deep understanding of BOM (Bill of Materials) costs and industry margins to drive the best outcomes for HRT’s global infrastructure.
• Supply Chain Intelligence: Act as our internal "SemiAnalysis/SemiAccurate" equivalent. Stay ahead of industry trends, tracking foundry shifts, packaging innovations, and geopolitical impacts on the hardware market to advise our leadership on long-term strategy. Help us decide when to build, when to go to the cloud, and how to optimize our footprint across global data centers.
• Cross-Functional Collaboration: Work side-by-side with our R&D and Trading Tech engineers and data center teams to deeply understand HRT's technology and business, and translate that knowledge into long-term strategic and acquisition planning.

Qualifications

• Deep Industry Knowledge: You have a "feet on both sides" profile, with a background that likely includes time at a major hardware vendor, a hyper-scaler, or a top-tier industry research firm.
• Technical Fluency: You can talk shop with hardware engineers about PCIe lanes, memory bandwidth, and thermal envelopes, but you can also walk into a boardroom and negotiate a multi-million dollar master purchase agreement.
• Market Strategy: You have a proven track record of solving complex infrastructure needs for large-scale compute environments.
• Entrepreneurial Spirit: You are a self-starter who is motivated by the excitement of being at the cutting edge of automation and hardware efficiency.

This job is accepting ongoing applications and there is no application deadline.

The estimated base salary range for this position is 200,000-300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience.

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Job Summary:

Are you a hands-on operations leader with a bias for execution and excellent customer service? Are you excited about helping grow an innovative transportation solution in your very own market?  Are you passionate about leading teams? If so, you might be Veo’s next Operations Manager!

As Veo’s Operations Manager, you'll have the opportunity to help lead our innovative dockless micromobility program. You'll play a vital role in the program’s success by ensuring efficient daily warehouse and field operations, as well as strengthening local partnerships. Above all, it will be your responsibility to increase ridership. Your success will be measured by your ability to drive daily ridership, lead a high performing team, and provide users with exceptional customer service.

The ideal candidate for this role is someone is who is self-directed with a history of thriving and driving success in fast-paced environments. This is a fully onsite role.

Responsibilities: 

• Oversee daily warehouse and field operations
• Perform physical tasks including moving scooters, driving vans, and maintaining scooters
• Set and manage daily routes for hourly associates for fleet deployment and repositioning
• Identify gaps in hitting operations metrics and develop solutions to fix them
• Drive timely and accurate submission of fleet health count, weekly operations data updates, and maintenance requests
• Recruit and train local team
• Ensure operations are in compliance with city agreements and company SOPs
• Manage inventory and ensure parts are ordered  

Qualifications & Skills:

• Bachelor's degree
• At least 1-2 years managing operations in for fleets, warehousing, distribution, delivery, or similar fields. 
• Comfortable lifting 60 lbs routinely 
• Ownership mindset with a bias for action
• Successful track record prioritizing multiple tasks 
• A willingness and ability to work a variety of days and shifts
• Quantitative decision-making skills
• Exceptional communication
• Passion for the overall goals of dockless bike & scooter sharing and sustainable transportation
• Commitment to making your community a better place to live and ride

Perks:

• Unlimited PTO
• Medical/dental/vision coverage 
• 401k with 3% match
• Opportunity to work in a fast-paced, early-stage technology company
• Veo credits

The base salary range for this full-time position is $75,000 - $85,000 + Quarterly Performance Bonus + Full Range of Benefits. Veo is a total compensation company, and pay is determined by geographic cost of labor and additional factors, including job-related skills, experience, and relevant education or training - so not all candidates will be eligible for the upper end of the salary range. Our total compensation package for this role, including salary, bonus potential, ranges from $75,000 - $95,000 per year. While this is our expected range, bonuses for this role are designed to have unlimited upside potential, so additional earning opportunities may be available.

Note: Veo benefit, bonus and stock programs may be subject to eligibility requirements and other terms of the applicable plan or program. The listed range is a good faith estimate, and exact compensation and total package may vary depending on market conditions and performance.

Position Summary

We are seeking a highly analytical and detail‑oriented Analyst to join our team. This role plays a key part in validating and coding audit deliverables, developing performance monitoring reporting, quantifying financial impact, and driving efficiency through automation and advanced analytics. The ideal candidate brings experience with internal controls, audit testing, and risk assessment, along with a proven ability to deliver high‑quality results in a fast‑paced, collaborative environment.

Position Responsibilities:

• Research and analyze pharmacy claims to ensure accuracy and contractual compliance across benefit setup, pricing, and guarantees
• Perform audit risk assessments, annual logic reviews and ongoing monitoring activities
• Analyze, reconcile and validate large datasets across multiple internal systems; develop and maintain SQL/Python queries for audit reporting and performance monitoring
• Create audit deliverable reporting, quantify financial impact of potential and confirmed audit findings, and build dashboards to identify trends and risks
• Identify and implement automation and process improvements across audit, reporting, and reconciliation workflows
• Maintain and enhance code, reporting tools, and dashboards to improve reliability, efficiency, and scalability
• Define and document technical requirements, data specifications, and methodologies to support transparency and repeatability
• Collaborate with internal and technology teams to improve data quality, workflows, and controls
• Provide ad-hoc analysis to support evolving business and audit needs
• Responsible for the adherence to the Capital Rx Code of Conduct including reporting of noncompliance

Required Qualifications:

• Bachelor’s degree in a quantitative or business-related field (e.g., Actuarial Science, Statistics, Economics, Finance, Data Analytics, or Business Administration)
• 2+ years of of experience in data analytics, audit, or a related role
• Experience in healthcare, PBM, or pharmacy claims; knowledge of pharmacy benefits, pricing, guarantees, and pharmacy claims analysis preferred
• Proficiency with SQL (Snowflake preferred), Excel, Tableau
• Familiarity with Python and project management/version control tools (e.g., Jira, Confluence, GitHub)
• Strong attention to detail with an intellectual and professional curiosity along with a passion for continuous improvement
• Track record of leading cross-functional initiatives, driving high performance, meeting deadlines, and executing on deliverables
• Effective communicator with both technical and non-technical stakeholders
• Extremely flexible, highly organized, and able to shift priorities easily

As a Hunter Solutions Architect on the Digital Natives team, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world.

Reporting to the Field Engineering Manager, you will collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way.

The impact you will have:

• You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
• Work directly with prospective, greenfield, customers on their 0 to 1 journey with Databricks 
• Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
• Collaborate with your fellow Solutions Architects, using your skills to support each other and our users
• Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.

What we look for:

• 5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
• Experience building distributed data systems at scale 
• Comfortable programming in, and debugging, Python and SQL
• Experience using agentic coding harnesses and demonstrable experience scaling your work leveraging them 
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Expertise in one of the following:
• Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow)
• Available to travel to customers in your region
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• Nice to have: Databricks Certification

NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply.  We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.

About your role

We are looking for a forward-thinking Data Engineering Intern to join our team for Summer 2026. This isn't just a role about moving data from point A to point B; it’s about rethinking how those pipelines are built. You will sit at the intersection of core infrastructure and AI, building robust ETL processes while leveraging AI technologies to automate the very workflows you create.

Your mission is dual-purpose: you will support our Business Intelligence efforts and directly influence our product roadmap by turning raw data into actionable insights through advanced dashboards and automated workflows.

A Day in the Life

• Build & Orchestrate: Design, develop, and maintain ETL pipelines to ingest data into our Snowflake warehouse using Python, SQL, and Airflow.
• AI-Driven Automation: Implement AI-powered solutions to streamline engineering tasks, including:
• Automating code generation and documentation.
• Building AI-driven data quality checks and anomaly detection.
• Developing "self-healing" pipelines that can identify and alert on ingestion errors.
• Insight Generation: Use Jupyter Notebooks and Streamlit to analyze data and build internal tools that help our product team make data-driven decisions.
• Visualization: Create high-impact dashboards in Tableau that translate complex data into a clear narrative for stakeholders.
• Agile Collaboration: Participate in daily Scrum huddles, manage tasks via Jira, and work closely with product owners and QA to promote code to production.
• Cloud Infrastructure: Interact with cloud services via CLI and manage containerized environments using Docker and Kubernetes.

What you’ll need

• Academic Status: Currently pursuing an undergraduate degree with a targeted graduation date in 2026 or early 2027, or pursuing a degree in Computer Science, Data Science, or a related quantitative field.
• Programming Mastery: Expertise in Python and SQL
• Infrastructure Mindset: A strong understanding of Data Warehousing (Snowflake) and ETL orchestration (Airflow).
• DevOps Curiosity: Familiarity with CLI, Docker, and Kubernetes for managing cloud-based environments.
• Analytical Toolkit: Experience with Jupyter Notebooks, Tableau, or Streamlit.
• Problem Solver: A proactive approach to using AI/LLMs to automate repetitive tasks and improve system reliability.

The Summer "Win"

By the end of your 10-week internship, you will have designed and deployed a functional ETL pipeline that feeds into a custom Insights Dashboard. Your work won't just sit in a folder, it will be used to influence our official product roadmap.

Interview Process

• Recruiter Phone Screen
• Technical Assessment 
• Hiring Manager Interview
• Team Interview

What The Role Is

Reporting to the Senior Director, Market Optimization & Trading, the Manager of CRR & FTR Trading is responsible for developing, executing, and optimizing Clearway’s congestion management strategies through active participation in ERCOT and CAISO’s Congestion Revenue Rights (CRR) and Day-Ahead markets and the PJM Financial Transmission Right (FTR). This role focuses on identifying, analyzing, and monetizing congestion opportunities while managing the company’s nodal risk and basis exposure across its generation portfolio.  This role will also be tasked with developing hedging and risk management strategies across other parts of the portfolio. The position requires strong analytical, modeling, risk management, and trading skills to inform commercial decisions and support portfolio optimization within a rapidly expanding renewables platform.

What You'll Be Doing

CRR / FTR Trading & Position Management

• Develop and execute CRR, FTR, and congestion trading strategies to hedge and optimize portfolio congestion risk across ERCOT, CAISO, and PJM.
• Analyze historical and forecasted congestion patterns to identify trading opportunities in monthly and annual CRR auctions.
• Manage portfolio-level exposure to nodal price risk through CRR / FTR acquisitions, sales, and virtual positions.
• Support the Real-Time and Day-Ahead MOT team with congestion insights and locational pricing forecasts.
• Collaborate with Market Fundamentals, Asset Management, and Origination to align CRR strategies with commercial hedging and offtake structures.
• Monitor project-level financial performance tied to congestion costs, basis exposure, and hedge efficiency.
• Maintain dashboards and reporting tools to track CRR positions, portfolio exposure, and P&L attribution.

Analytics & Modeling

• Utilize power flow and production cost modeling software (e.g., Dayzer and PROMOD) to forecast congestion and simulate transmission constraints.
• Coordinate with Fundamentals and Analytics teams to enhance modeling of nodal prices, transmission outages, and topology changes.
• Leverage programming tools such as Python, R, SQL, and Power BI to automate congestion analytics and scenario back-testing.
• Research regulatory filings, transmission plans, and outage schedules to anticipate market shifts.

Market Fundamentals

• Conduct in-depth analysis of ERCOT, PJM, and CAISO’s transmission topology, load growth, and renewable generation trends.
• Monitor weather, outage, and project interconnection developments that impact congestion patterns.
• Communicate congestion forecasts and market insights to internal stakeholders, including senior management and trading desks.

Risk & Energy Market Strategy

• Develop portfolio risk limits and maintain portfolio-level risk metrics accounting for cross-market correlations in energy, congestion, and REC prices.
• Review forward market price volatility curves and correlation assumptions for stochastic risk modeling.
• Facilitate trading strategy performance benchmarking and establishing risk limits.
• Develop and apply portfolio optimization techniques to drive hedge strategy decisions while balancing the risk-adjusted revenue of Clearway’s renewable assets. Hedging strategies include DART optimization, CRR/FTRs, term hedge, and PPA transactions. Perform daily and weekly portfolio assessments to identify opportunities to maximize portfolio profit opportunities and identify risks.

Governance, Compliance & Risk

• Ensure CRR/FTR trading activities comply with corporate and project-level risk policies, market rules, and Market protocols. • Work closely with Risk, Accounting, and Settlements to reconcile positions, P&L, and collateral management.
• Maintain compliance documentation and participate in periodic audits.

Collaboration & Commercial Support

• Partner with Market Fundamentals, Origination, Development, and Asset Management teams to incorporate CRR/FTR and congestion considerations into project siting and contracting decisions.
• Provide market intelligence and due diligence support for M&A transactions, new developments, and repower evaluations.
• May impact departmental budgeting, strategic planning, and procedural change

What You'll Bring

• Bachelor’s degree in Engineering, Economics, Finance, or related field.
• 6-10 years of power market experience, with at least 2+ years directly in CRR, FTR, nodal, or virtual trading.
• Experience using ERCOT and CAISO CRR auction tools, Dayzer, UPLAN, or similar transmission models.
• Prior experience in energy trading, asset optimization, or market analytics required.
• Ability to construct power fundamental models for pricing, load, generation, flow, and outages using various methodologies
• Ability to build Quant Lib utilizing stochastic calculus and Option Models for deal valuation.
• Deep understanding of ERCOT, CAISO, and PJM market design, CRR/FTR auction processes, transmission planning, and nodal pricing. Dayzer experience is required.
• Strong quantitative, analytical, and problem-solving abilities.
• Excellent communication skills to translate technical results into commercial strategy.
• Proficiency with Excel, PowerPoint, and Power BI.
• Familiarity with congestion and risk management strategies for renewable and storage assets.
• Highly proficient in developing predictive models using mathematical and statistical methods to identify, analyze, and mitigate energy market risks with an understanding of option valuation and Greeks.

What Would Be Nice

• Advanced degree preferred
• Advanced skills in Python, R, or SQL strongly preferred
• Familiarity with battery, wind, or solar congestion profiles is a plus.

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #LI-REMOTE

As a Solutions Architect on the Digital Natives team, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world.

Reporting to the Field Engineering Manager, you will collaborate with customer stakeholders, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide one of our largest AI native customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way.

The impact you will have:

• You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
• Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
• Collaborate with your fellow Solutions Architects, using your skills to support each other and our users
• Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.

What we look for:

• 7+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
• Experience building distributed data systems
• Comfortable programming in, and debugging, Python and SQL
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Expertise in one of the following:
  • Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
  • Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow)
• Available to travel to customers in your region
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• Nice to have: Databricks Certification

NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply.  We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.

FEQ427R139

Mission

Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team.

The impact you will have:

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

What we look for:

• 8+ years in a customer-facing pre-sales, technical architecture, or consulting role
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R
• Experience supporting Public Sector clients
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• US Citizen

About your role

Rocket Lawyer is seeking a highly motivated Business Intelligence Analyst Intern to join our team. This position is perfect for someone who wants to learn about the legal industry and how data is used to inform business decisions. By joining our team, you will have the opportunity to work on challenging projects that have a real impact on people's lives. You will support the Rocket Lawyer team in driving business insights, reporting, and analytics to help drive growth and optimize business performance. This role will partner closely with Product, Finance, Marketing, & Data Engineering teams to deliver actionable insights and act as a thought leader for data at Rocket Lawyer.

How you will make a difference day to day

• Analyze and optimize user engagement and experience with our services and investment across Search Engine Marketing (SEM), Search Engine Optimization (SEO), email, and offline channels
• Collaborate with business leads to understand KPIs & test hypotheses to drive revenue, customer acquisition, retention, and sales
• Support revenue and cost model assumptions are they relate to customer acquisition costs and lifetime value
• Conduct research and analysis to support business decisions, including reporting and communication of results to leadership
• Maintain and optimize BI tools and dashboard solutions. Contribute to ongoing data governance efforts

What you’ll need

• Experience with business analysis and problem-solving by drawing insights from large data sets
• Superior skills with SQL, Excel, and Python
• Experience with business intelligence applications (Tableau, Looker) and online marketing tools (Amplitude)
• Experience with Snowflake, other databases a plus
• SaaS, digital media, ecommerce, or online marketing based business experience a plus
• Light-hearted attitude and ability to have FUN while working hard
• Keen attention to detail, ability to work autonomously, & bias for action
• Excellent communication and interpersonal skills, with strong business acumen
• Pursuing a Bachelor's or Master’s Degree in Finance, Economics, Engineering or related quantitative field

Interview Process

• Recruiter Phone Screen
• Hiring Manager Interview
• Final Interview

Position Summary: 

At Actabl, the Customer Success Manager plays a pivotal role owning the strategic relationship with customers and overseeing cross-functional initiatives to set customers up for long-term success. This position combines customer relationship management, project management, and strategic guidance on optimizing the customer’s value via usage of Actabl’s products.

Essential Duties:

Customer Success & Relationship Management

• Serve as the primary point of contact and trusted advisor for a portfolio of customers, building strong, long-term relationships through proactive communication and a deep understanding of their business goals.
• Provide strategic guidance and best practices, acting as a product expert and guiding customers on how to leverage the product as it is built today while also advocating for customer needs internally.
• Develop and execute joint success plans with customers, outlining key milestones and desired outcomes to ensure they are getting the most out of their investment with Actabl and achieving their business objectives.
• Conduct strategic business reviews to review progress against shared goals, demonstrate the value delivered, and identify opportunities for expansion or additional services.

Customer Engagement, Retention & Advocacy

• Drive customer engagement with proactive strategies that increase platform usage and deepen product adoption.
• Identify at-risk customers and implement strategic remediation plans to reduce churn.
• Promote customer advocacy through success stories, reference programs, and feedback loops.
• Provide education on product enhancements and industry best practices tailored to the customer’s goals.

Metrics, Reporting & Continuous Improvement

• Monitor customer health scores, usage data, satisfaction metrics, and engagement trends using platforms like ChurnZero and Salesforce.
• Analyze quantitative and qualitative data to generate actionable insights that support customer goals.
• Collaborate with Product, Support, and Onboarding teams to escalate feedback and improve the overall customer experience.
• Contribute to internal initiatives focused on refining customer journeys, onboarding workflows, and service delivery.

Minimum Qualifications:

• Bachelor’s degree in Business Administration, Hospitality Management, or a related field.
• At least 5 years of customer-facing experience in Customer Success, Account Management, or a related field, particularly within a global SaaS or enterprise software business.
• Experience leveraging tools and technology to enable proactive customer success (e.g., ChurnZero) and make data-driven recommendations.
• Proven ability to build and sustain customer relationships that drive retention and growth.
• Proven track record of data-driven approach to churn risk mitigation and strong escalation management.
• Preferred background in the hospitality industry, as we seek individuals passionate about supporting the service industry and enhancing customer experiences.

Key Competencies:

• Customer Relationship Management: Ability to build and maintain strong relationships with customers, ensuring long-term engagement and satisfaction through proactive communication and tailored solutions.
• Project Management: Highly organized with the ability to manage multiple projects and priorities simultaneously.
• Cross-Functional Collaboration: Skilled in working with various departments (Sales, Support, Product) to ensure a cohesive and comprehensive approach to customer success.
• Data-Driven Decision Making: Strong analytical skills to monitor key metrics, such as customer health, platform usage, and sentiment, and translate data into actionable plans that drive customer success outcomes.
• Problem Solving & Risk Mitigation: Ability to identify customer challenges and provide effective, proactive solutions. High level of problem-solving acumen to quickly resolve customer issues and escalate when necessary.
• Communication & Presentation Skills: Proficient in creating and delivering impactful business reviews, presentations, and reports to both internal and external stakeholders. Skilled in articulating business value, data insights, and strategic recommendations.
• Adaptability & Learning Agility: Ability to thrive in a dynamic and evolving technology environment. Willingness to learn new tools, methodologies, and product updates quickly to stay ahead in the customer success space.
• Customer-Oriented Mindset: Acts as the voice of the customer within the company, ensuring customer needs are communicated and that customer feedback is used to improve product offerings and service delivery.

Additional Information:

• We are a hybrid friendly company with office hubs in Denver, Atlanta, and Tampa. Preferred location for this position is Denver. However, candidates located outside of our office hubs will be reviewed and considered if necessary. No matter where you live and work, you’re a part of the Actabl team.
• This position may require occasional travel for customer meetings, business events, or other work-related needs. Travel could be both in-state and out-of-state and may involve overnight stays, depending on customer requirements and business needs.
• The base salary range for this position is $85,000-$95,000 annually, with an 8% bonus. 

About Sovrn

Every interesting company solves important problems for other people.  Sovrn is a Software and Data business that helps Open Web businesses be and remain independent.  We help them understand their business better, operate more efficiently, and make & keep more money.

• We believe in the freedom and free-flow of information.
• We believe the Open Web is the largest source of this information.
• We believe in helping Open Web businesses be and remain Independent.

Through Software products and Data solutions we help our customers:

• Understand their business better, so they can make better decisions
• Operate their business more efficiently, so they can invest in what matters most
• Make (and Keep) more money, so they control their own destiny

About the Role

The Senior AI/ML Data Scientist at Sovrn is a strategic technical leader who drives high-impact data initiatives across the organization. This role requires a unique blend of strategic vision ("the art of the possible") and tactical execution ("think and execute tactically"). You will solve ambiguous problems to deliver measurable business value and influence the future of data science in AdTech. You will guide architecture, experimentation, and product design while ensuring scientific and technical rigor. This position requires technical excellence, business acumen, and leadership.

What you’ll be doing:

• Operate at the frontier of applied AI as a hands-on practitioner — personally exploring, prototyping, evaluating, and deploying cutting-edge Agentic AI technologies to bring new, grounded insight into product, modeling, and optimization decisions. 
• Design, implement, and deploy advanced predictive models, algorithms, and experiments that drive core business outcomes, specifically optimizing ad performance, user engagement, and monetization strategies.
• Analyze large-scale datasets to identify patterns, trends, and optimization opportunities, while maintaining and improving data pipelines and experimentation frameworks to support ongoing research.
• Define and evangelize best practices in modeling, testing, measurement, and data governance, ensuring scientific rigor while balancing practical business constraints and timelines.
• Collaborate cross-functionally to identify high-leverage AI/ML opportunities, translate them into actionable roadmaps, and deliver measurable outcomes.
• Mentor other data scientists through code review, experiment design, and technical feedback and model what it looks like to stay current with fast-moving AI research in a production-focused environment. 
• Translate complex data problems into strategic decisions through compelling storytelling and clear communication of findings and recommendations to both technical and non-technical stakeholders.

A successful candidate will have:

• Proven ability to deploy autonomous agents to production including optimizing inference performance, managing latency/cost tradeoffs, and ensuring robust model evaluation at each stage.
• Demonstrates prompt engineering discipline by systematically evaluating prompts across model families using quantitative evaluation.
• Active use of AI tools in daily technical work — integrates coding assistants, orchestration frameworks, and search-augmented workflows in ways that accelerate prototyping and reduce iteration cycles.
• Experience in data science and applied machine learning, with a strong record of delivering business impact.
• Deep technical proficiency across classical ML (supervised/unsupervised), reinforcement learning, and deep learning, with a strong foundation in statistical modeling, A/B testing, and causal inference.
• Proficiency with Python, SQL, cloud-based data ecosystems, modern AI/ML frameworks (e.g., Pandas, Scikit-Learn, PyTorch/TensorFlow, LangChain, Hugging Face, PydanticAI), experience with large-scale datasets and distributed computing frameworks (e.g., Spark, PySpark), and Databricks running on AWS Cloud.
• Strong understanding of ad tech ecosystems (e.g., RTB, DSP/SSP workflows, auctions, and yield optimization) is a big plus.
• Demonstrated ability to influence across technical and non-technical audiences, lead cross-functional initiatives, and work in a collaborative, agile environment (Scrum and Kanban).
• A strategic mindset with strong product intuition and experience working at scale.

Location: This position is based in our Boulder, Colorado office. For exceptional candidates we would consider remote locations. Applicants need to be able to commute/travel to our Boulder location.

We understand that no candidate is perfectly qualified for any job. Experience comes in different forms; many skills are transferable; and passion goes a long way. Even more important than your resume is a clear demonstration of accountability and the ability to thrive in a fluid and collaborative environment. We expect you to learn new things in this role and encourage you to apply if your experience is close to what we're looking for.

Sovrn Core Values: Candid, Customer Empathy, Learning, Scrappy, Second Order Thinking

Compensation and Benefits

The base salary for this position in Boulder, Colorado is $165,000 to $195,000 annually. In addition to salary, the total compensation package includes bonus, equity, and benefits. Actual earnings may vary depending on the candidate's direct experience, skills, knowledge, and location.

Sovrn offers a full slate of benefits from competitive salaries, stock options, medical, dental, and vision coverage, short and long-term disability, life insurance, 11 paid holidays, flexible vacation, commuter benefits, a 401(k) plan and match, and a paid parental leave program.

Job Posting

Applications will be accepted until May 30, 2026.

Equal Opportunity Employer 

Sovrn is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristic protected by law. Reasonable accommodations will be made to meet the requirements of the Americans with Disabilities Act and will be provided as requested by candidates taking part in all aspects of the selection process. 

Recruitment Agencies

Sovrn does not accept agency resumes. Please do not forward resumes to our jobs alias or Sovrn employees. Sovrn is not responsible for any fees related to unsolicited resumes.

What You’ll be Owning:

• We are seeking a Data Scientist to support our NLP project focused on accurate and automatic tokenization of language data from spoken or written sources. In this role, you will develop automated solutions for annotating language data with parts of speech information and enhance existing models by evaluating their performance against human-generated annotations for both speech and text. Your contributions will be crucial in advancing our NLP capabilities and ensuring high-quality language processing.

What You Must Have:

• Possess 2 or more of the following skill areas:
  • Foundations: (Mathematical, Computational, Statistical)
  • Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility)
  • Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations)
• Devise strategies for extracting meaning and value from large datasets.
• Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in Government data holdings.
• Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting Government collection, processing, storage and analytic capabilities and limitations.
• Bachelor’s degree with 10 years of relevant experience or Associate's degree with 12 years of relevant experience
  • Bachelor’s degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning)  and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence).  College-level requirement, or upper-level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
• Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred.
• Active TS/SCI w/ poly

While candidates in the listed location(s) are encouraged for this role, candidates in other US locations will be considered. #LI-REMOTE

As a Solutions Architect on the Digital Natives team, you will work with the leading data engineering, data science & ML teams in the market to push the boundaries of what big data architectures are capable of. 

Reporting to the Field Engineering Manager, you will collaborate with strategic customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way.

We are looking for high technical aptitude individuals with a deep sense of ownership and a desire to help customers ship solutions at production scale. Ideal candidates are deeply curious, capable of operating with confidence in ambiguous situations, and are extremely adaptable. 

The impact you will have:

• You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
• Drive technical discovery and solution design, focusing on winning competitive deals and accelerating time-to-value in strategic accounts.
• Continuously research & learn new technologies and their implementations on Databricks
• Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
• Collaborate with your fellow Solutions Architects, using your skills to support each other and our customers
• Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.
• Work closely with account executives to create and execute account penetration strategies, focusing on winning technical decision-makers and building new customer champions.
• Build trusted advisor relationships with senior and executive stakeholders by articulating the business value of Databricks in clear, outcomes-driven terms.
  
  

What we look for:

• 5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
• Experience building distributed data systems
• Comfortable programming in, and debugging, Python and SQL
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Expertise in one of the following:
• Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow)
• Strong executive presence with the ability to influence C/VP-level stakeholders and align technical solutions to strategic business priorities.
• Available to travel to customers in your region
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• Nice to have: Databricks Certification
  
  

NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply. We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.

Peak Energy 

Job Title: Financial Analyst

Location: Broomfield, CO 

Reports To: Finance Manager

Department: Finance 

Position Type: Full-Time 

About Peak Energy  

Peak Energy is the first American venture to advance globally proven Sodium-Ion battery systems as the storage standard for the new era of renewable energy on a resilient grid.   

Sodium-Ion is cheap, readily available and safe, making it the leading contender in a rapidly evolving market.    

Our leadership team is powered by decades of expertise in scaling gigawatt-level innovation at world-class companies such as Tesla, Northvolt, Apple, Powin, Enovix, Zipline, Solid Power, and Fluence. We are backed by strategic investment and product partners such as TDK Ventures and Eclipse Ventures.    

We are a team of engineers, operators, entrepreneurs, and partners driven by a shared ambition to set the new performance standard for renewable energy and grid resilience.   

Position Summary 

Peak Energy is accelerating the transition to clean, reliable energy through advanced energy storage systems. We are seeking a Financial Analyst to join our Finance team as one of its earliest hires and help build the financial infrastructure that will carry Peak from early revenue through gigawatt-scale production. This role spans FP&A, strategic finance, and finance technology — you’ll assist with budget-to-actual reporting, support executive decision-making with models and analysis, and contribute to the AI and automation roadmap for Peak’s finance function. 

The ideal candidate is detail-oriented, motivated, and eager to learn. Experience matters less than attitude - we’re looking for someone who genuinely wants to understand how a business works, isn’t afraid to dig into the details, and brings consistent effort and follow-through every day. As one of the first finance hires, you’ll learn how a startup builds its financial operating cadence from the ground up, with the opportunity to grow into ownership of key processes over time. The key to success in this role is willingness to work hard, demonstrate curiosity, and an appetite for growth. This role has significant growth opportunities. 

Key Responsibilities 

FP&A & Budget Management 

• Assist in building and maintaining Peak’s budget-to-actual tracking, reporting cadences, and variance analysis — learning to partner with department heads across Engineering, Supply Chain, Commercial, and Operations to translate operational plans into financial models. 

• Help prepare monthly financial packages and support the month-end close process, learning to write clear, actionable commentary that explains the “so what” behind the numbers. 

Strategic Finance 

• Support fundraising, investor reporting, and board materials; assist in building financial models for new projects, customer deals, and manufacturing scale-up scenarios. 

• Learn to analyze and improve unit economics, should-cost models, and cash flow projections that support executive decision-making on pricing, procurement, and capital allocation. 

Finance Technology & AI Roadmap 

• Contribute to defining the AI and automation roadmap for Peak’s finance function — suggesting where intelligent tooling can replace manual work in reporting, reconciliation, forecasting, and spend tracking. 

• Support the evaluation and implementation of finance software (ERP, FP&A platforms, expense management) and help build internal tools and workflows as the company scales from startup-stage systems to enterprise-grade infrastructure. 

Cross-Functional Partnership 

• Support operational teams as a finance resource — helping track project-level spend, assisting with purchase order workflows, and learning compliance requirements including 48E ITC tax credit tracking and investor deliverables. 

• Contribute to ad hoc strategic projects across the business; this is a startup, and the best ideas often come from the newest voices. 

Qualifications 

• Bachelor’s degree in Finance, Accounting, Economics, Business, Engineering, or a related quantitative field. 

• 0–2 years of experience in finance, FP&A, accounting, consulting, or a related analytical role. Recent graduates with strong internship experience are encouraged to apply. 

• Comfortable in Excel/PowerPoint with a willingness to go deep — building models, writing formulas, and learning data tools over time. 

• Strong communicator who can distill financial information into clear takeaways for non-finance stakeholders. 

• Teachable and coachable — someone who takes feedback well, asks good questions, and is energized by learning new things in a fast-moving environment. 

• Intellectually curious about how AI and technology can transform finance — the kind of person already experimenting with tools like ChatGPT, Copilot, or Claude. 

• Bonus: SQL, BI tools (Tableau/Power BI/Looker), ERP systems, or exposure to hardware/energy/manufacturing environments. 

Our Core Values  

Speed Through Focus - Move fast but understand why. Focus on the goal, don't sacrifice quality.  
Mission Over Self - It's about the greater good; confident humility. Take ownership and accountability.  
Face the Brutal Truth - Transparency, honesty, big picture curiosity. Fearless decision making.  
Be a Good Person - Kindness, collaboration and teamwork  

Compensation & Benefits  

The salary range for this role is $70,000 - $90,000, with actual pay varying based on work location, experience, and skills. Our competitive benefits package includes flexible time off, comprehensive medical, dental, and vision coverage, a strong 401(k) plan, and equity opportunities. Join us to thrive in a supportive environment while making a meaningful impact in the energy sector!   

At Peak Energy Technologies Inc., we believe that a diverse and inclusive workplace makes us a more capable, innovative, and competitive company. We welcome people who represent diversity in their backgrounds, ethnicities, cultures, and experiences. Peak Energy Technologies Inc. is an equal opportunity employer, aiming to reach our company’s full potential by cultivating an inclusive workforce. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, citizenship, marital or family status, disability, gender identity or expression, veteran status, or any other legally protected status.

About your role

Have a passion for helping people through technology - especially AI? Come help Rocket Lawyer disrupt the legal industry and live up to our mission to make the law affordable and simple. You'll work at the forefront of agentic AI product development to build and launch cutting-edge products for millions of customers. Sounds exciting? We’d love for you to join us!

How you will make a difference day to day

Create Insight-to-Action Product Experiences

You must have a proven track record of translating complex data and AI-generated outputs into intuitive, actionable product capabilities and experiences. These products don’t just display data; they are surfacing insights and workflows that prompt users to take the next best action, directly increasing product stickiness and daily utility.

Drive Engagement-Centric Roadmap Strategy

Drive the product roadmap by identifying opportunities where AI can proactively solve user pain points. You will prioritize features based on their ability to drive retention-focused metrics (e.g., reducing time-to-value, increasing session frequency) rather than technical novelty.

Develop AI-Powered UX Benchmarking

Continuously monitor the SaaS landscape to identify emerging patterns in AI-driven engagement. You should have a pulse on how top-tier products use personalized insights, automated summaries, and proactive nudges to create habit-forming experiences that differentiate the product from traditional, static competitors.

Data Driven Product Development

Define and analyze the specific behavioral metrics that prove AI-generated insights are driving business impact. You will prioritize the Rocket Copilot roadmap by balancing "mature judgment" with hard data, focusing on features that don't just deliver data, but measurably increase user session frequency and reduce churn. You must be able to draw a straight line between an AI-driven product decision and its direct implication on recurring revenue and LTV.

Product-Led Growth Strategy

Lead the strategy and execution for Rocket Copilot by identifying "magic moments" where AI can proactively surface value to a user. You will use a mix of quantitative data and qualitative customer empathy to ensure our AI portfolio isn't just a collection of features, but a cohesive engine that guides users from their first "Aha!" moment to long-term, habitual usage. You will act as the "Voice of the Customer" to ensure AI outputs are tailored to solve the specific friction points uncovered in your research.

What you’ll need

• 8-10 years of software Product Development experience ideally with B2B or B2C SaaS products.
• At least 4 years focused on how to optimize AI-driven user engagement
• Ability to combine a strong product sense with business acumen to deliver positive outcomes to customers and the business
• Passionate about our mission
• Demonstrated ability to think critically and problem-solve
• Excellent communication skills
• Ownership mentality
• Ability to engage in respectful debate and arrive at “win-win” decisions
• Bias for action
• Excited to celebrate and win
• Self-aware with a growth mindset
• Bachelor’s degree in Computer Science, Engineering, Data Science, Business, or a related field, or relevant job experience.

A bonus if you have

• Experience building or launching products that leverage agentic AI systems
• Experience in legal tech industry

Not sure if you meet all the qualifications? Apply anyway! We value diverse experiences and encourage you to bring your unique talents to our team!

Benefits & Perks

• Comprehensive health plans (including Medical, Dental and Vision insurance for full-time employees)
• Unlimited PTO
• Competitive salary packages
• Life insurance
• Disability benefits
• Supplemental Optional Life Insurance Benefits
• FSA Options Optional
• HSA with Company Match
• 401k program with Company Match
• Wellhub & ClassPass fitness platforms
• Comprehensive Pet Insurance options
• Financial Wellbeing & Student Loan Program access
• Access to additional Mental Health & Wellbeing resources
• Pre-tax Commuter/Transit Benefits
• Free Rocket Lawyer account with online access to an extensive legal documents library and brilliant licensed attorneys at discounted rates 

Interview Process

• Recruiter Phone Screen
• Role Assessment(s)
• Hiring Manager Interview
• Panel Interviews
• Final Interview

About your role

The Senior Vice President of Product is the strategic and operational leader responsible for defining our product vision, accelerating market adoption, and delivering exceptional business performance. This role will help drive the transition of our trusted legacy platform to our next-generation AI experiences, ensuring a modern, intuitive UX for our entire ecosystem - from the SMBs and families Rocket Lawyer serves to the legal professionals who support them.

The ideal candidate possesses deep experience in PLG, and subscription-based / marketplace business models across both consumer and SMB markets. The candidate must have a proven ability to leverage customer insights to create compelling experiences that accelerate user acquisition, upsell, and long-term retention. This leader will be instrumental in bringing clarity, cohesion, and disciplined execution to a fast-moving, cross-functional organization.

How you will make a difference day to day

1. Strategic Vision & Execution

• Define, articulate, and relentlessly champion an ambitious, long-term product strategy.
• Leverage the Product Operating Model to deliver a product roadmap focused on innovative, AI-led experiences that drive value across the entire product lifecycle while simultaneously optimizing the current platform.
• Lead the harmonization of legacy platform features and new AI-driven products into a single, intuitive, customer experience.
• Build partner facing solutions that support new member acquisition.
• Cultivate an innovative product culture that skillfully balances speed, agility, and disciplined prioritization.

2. Growth & Business Performance

• Own the Product-Led Growth (PLG) experiences designed to engage, upsell, and retain all customer segments.
• Own product-driven revenue drivers, including activation, engagement, conversion and retention.
• Partner closely with Growth, Operations, and Finance on pricing, packaging, and go-to-market strategies to maximize new member growth, retention, and Customer Lifetime Value (LTV).
• Instill a culture of operational rigor for roadmap planning and delivery (focusing on speed, consistency, quality, and customer-informed decisions). Own scoping and resource planning.
• Oversee product migrations, transitions, and adoption strategies to minimize friction and maximize customer value realization.

3. Leadership & Customer Focus

• Build, mentor, and scale a high-performing Product organization, including Product Managers, Design, and Product Operations.
• Create strong alignment across Product, Engineering, Data, Growth, and Operations to ensure coordinated, high-velocity execution.
• Serve as a senior executive voice across the company, influencing strategy and effectively representing the product direction to internal and external stakeholders.
• Direct qualitative and quantitative UX research and customer surveys to ground all product experience decisions in a deep understanding of customer needs, barriers, and motivations.

What you’ll need

• 15+ years of progressive product management experience, including 8+ years in executive leadership roles, with at least 5 years leading product teams through large-scale transformation.
• Demonstrated success in driving strategy, adoption, and performance within high-growth, subscription-based businesses (Consumer and SMB).
• Proven track record of delivering measurable, material growth in customer acquisition, expansion, and retention.
• Extensive experience managing product portfolios that include both established, legacy systems and new platform innovations.
• Strong understanding of AI-enabled products, data-driven decision-making, and modern product development practices.
• Exceptional leadership, communication, and stakeholder-management abilities at the executive level.
• Deep business acumen with the ability to connect customer needs, product capabilities, and financial outcomes.

A plus if you have

• Experience in legal tech, fintech, SaaS, or other highly regulated or trust-driven industries.
• Experience building marketplace product experiences.
• Extensive background operating in a Product-Led Growth (PLG) environment.

What Success Looks Like

• Achieving a unified and cohesive product experience that accelerates customer value and simplifies migration from legacy to AI-powered experiences.
• Material growth in subscription acquisition, expansion, retention, and overall Customer Lifetime Value (LTV).
• A measurable lift in adoption and revenue contribution from new AI products and capabilities.
• High organizational alignment and execution velocity across Product, Engineering, GTM, and Operations.
• A thriving, empowered, and high-performance Product organization.

Not sure if you meet all the qualifications? Apply anyway! We value diverse experiences and encourage you to bring your unique talents to our team!

Benefits & Perks

• Comprehensive health plans (including Medical, Dental and Vision insurance for full-time employees)
• Unlimited PTO
• Competitive salary packages
• Life insurance
• Disability benefits
• Supplemental Optional Life Insurance Benefits
• FSA Options Optional
• HSA with Company Match
• 401k program with Company Match
• Wellhub & ClassPass fitness platforms
• Comprehensive Pet Insurance options
• Financial Wellbeing & Student Loan Program access
• Access to additional Mental Health & Wellbeing resources
• Pre-tax Commuter/Transit Benefits
• Free Rocket Lawyer account with online access to an extensive legal documents library and brilliant licensed attorneys at discounted rates 

Interview Process

• Recruiter Phone Screen
• Role Assessment(s)
• Hiring Manager Interview
• Panel Interviews
• Final Interview

About your role

Rocket Lawyer is seeking an experienced, passionate AI/ML software engineer for Rocket Copilot, our new AI assistant launched in December 2023. In this role, you will help our team deeply embed AI features across our platform. You will work in an agile, cross-functional team, working with multiple product teams as we build out AI features across Rocket Lawyer. You will design, implement, test, release and maintain new AI features, working closely with product managers, UX designers, data engineers, QA engineers, and others.

We value a fun, collaborative, team-oriented work environment, where we celebrate our accomplishments. 

How you will make a difference day to day

• Build, train, fine-tune, deploy and maintain ML models for AI features
• Create, monitor and troubleshoot backend API services to allow Rocket Lawyer product frontends to interact with ML models
• Work closely with multiple product teams and cross-functional teammates to quickly integrate AI into existing and new Rocket Lawyer products
• Keep up-to-date with industry trends around generative AI and machine learning
• Rapidly prototype product features to explore new AI capabilities, while writing clean, understandable code

What you’ll need

• 5+ years of Experience writing ML code for launched products
• Understanding of the state of the art in generative AI, including RAG, LoRA, RLHF and others
• Experience creating data sets from proprietary anonymized data, and using them to train and fine-tune ML models
• Experience with machine learning frameworks like TensorFlow, PyTorch and Scikit-Learn
• Strong programming skills in Python and SQL
• BS, MS, or PhD in Computer Science, Mathematics, Statistics, or other quantitative fields, or related work experience

Benefits & Perks

• Comprehensive health plans (including Medical, Dental and Vision insurance for full-time employees)
• Unlimited PTO
• Competitive salary packages
• Life insurance
• Disability benefits
• Supplemental Optional Life Insurance Benefits
• FSA Options Optional
• HSA with Company Match
• 401k program with Company Match
• Fertility Assistance and Planning options
• Wellhub & ClassPass fitness platforms
• Comprehensive Pet Insurance options
• Financial Wellbeing & Student Loan Program access
• Access to additional Mental Health & Wellbeing resources
• Pre-tax Commuter/Transit Benefits
• Free Rocket Lawyer account with online access to an extensive legal documents library and brilliant licensed attorneys at discounted rates 

Interview Process:

• Recruiter Phone Screen
• Role Assessment(s)
• Hiring Manager Interview
• Panel Interviews
• Final Interview