About the Role

Impact You'll Have

• Through your interactions with individual customers, you will help improve our product for everyone.
• Your work will play a crucial role in ensuring our customers' success and the continued effectiveness of their integration with Metronome.
• The Metronome team is more well-rounded because you bring your unique personality to work and help create an inclusive fun environment focused on helping our customers get the most value out of Metronome.

Qualifications

• 2+ years of work experience in a B2B customer-facing technical support organization or in engineering
• Experience working closely with engineering teams and providing technical feedback on customer issues
• Ability to debug and triage bugs and escalations from customers
• Can communicate technical capabilities of the product to customers
• Experience writing scripts or internal tools using APIs, and functional knowledge of SQL
• Strong written and verbal communication skills, with the ability to break down complex technical concepts clearly
• A mindset of customer empathy and ability to solve challenging problems

Bonus points

• Experience as an early or founding member of a support team, including building processes from scratch
• Startup experience and familiarity with scaling a support team
• Programming experience in one or more of Typescript, Python, or Ruby
• You have worked on modern enterprise software which is business critical
• Experience creating knowledge base articles and internal documentation
• Familiarity with at least one ticketing system, such as Pylon, Zendesk, Front, or similar

What We Do 

Every enterprise buys things: equipment, raw materials, services, software. But finding suppliers still runs on email chains, spreadsheets, and fragmented systems. It's slow, inconsistently applied, and difficult to scale. Fairmarkit helps enterprises like BP, Boeing, and Snowflake source smarter and spend better. Our autonomous sourcing platform puts AI agents to work across every category of spend. The result: up to 86% purchasing acceleration and 11% of savings, a direct boost to the bottom line.

The Role

Procurement leaders learn about new technology from peers at conferences, around roundtable dinners, and in the rooms where practitioners get honest with each other. This role owns those rooms.

As our Events and Field Marketing Manager, you'll run Fairmarkit's full external presence: industry conferences, speaking opportunities, hosted field events, Customer Advisory Boards, and virtual programs. This is a hands-on role with real ownership — and a real pace. We run multiple events every month, big and small, and this person keeps all of it moving. 

You'll manage logistics and budget, order swag, coordinate speaking submissions, prepare teams, and still have a point of view on what's worth doing. That point of view extends to content: you'll collaborate with the team on what gets said on stage, in invitations, and in follow-ups, and you'll have real taste for what resonates with a procurement audience. AI-native efficiency isn't optional here; it's how you do the job well.

What You'll Do

• Own the annual events calendar: selection, prioritization, and budget allocation across industry conferences, regional field events, and virtual programs
• Partner with content and demand gen on event programming and messaging: you have a strong point of view on what procurement audiences actually find valuable, and you bring that into every agenda, speaker brief, and post-event touchpoint
• Develop experiential marketing programs that bring the Fairmarkit brand to life at conferences, executive dinners, and hosted events, creating memorable moments that deepen engagement with procurement leaders
• Plan and execute Customer Advisory Boards and customer roundtables with Customer Success end-to-end, from invitations through post-event follow-up
• Build and manage the speaking engagement pipeline: identify opportunities, coordinate submissions, and prep executives and customers for the stage
• Drive pre- and post-event promotion with demand generation: email, social, content sequencing
• Plan our annual event and 3-4 smaller, hosted Fairmarkit field events per year, including venue sourcing, vendor management, run-of-show, and attendee experience
• Handle all logistics: registration, vendor contracts, swag ordering, booth operations, travel coordination
• Use AI tools actively to streamline planning, personalize outreach, and move faster than a team twice your size; we’ll support with the tools you need! 
• Track event-attributed pipeline and report results to the Head of Revenue Marketing

What You'll Bring

• 5+ years of B2B field or event marketing experience in enterprise SaaS or technology
• A track record running events at every scale, from intimate executive dinners to 10,000-person industry conferences
• AI-native working habits: you reach for AI tools first and keep finding new ways to use them
• Real energy for the work: outgoing, comfortable in rooms full of strangers, genuinely enjoy representing a brand in the wild
• Strong project management instincts; you run a tight ship without making it feel that way
• Experience coordinating speaking programs and working with executive stakeholders
• Proficient with Marketo, Salesforce, ON24, or similar tools.
• Ability to travel up to 25–30% of the time

Huge bonus: procurement or procuretech experience. If you've worked in procurement, marketed to CPOs and sourcing leaders, or know tools like SAP Ariba, Coupa, or Workday Sourcing, you'll hit the ground running. We sell to a specific, tight-knit community, and knowing it from the inside changes everything.

Life at Fairmarkit

We're a remote-first team that's built culture intentionally. People here stay because the work is genuinely interesting, the mission has real stakes, and the team pulls together. Here's what that looks like in practice:

• Remote-first, flexible work
• Competitive and equitable pay + equity
• Strong benefits and wellness program
• Work-from-home stipend
• Real growth and development opportunities
• Direct ownership and impact from day one

Procurement is one of the last major enterprise functions being transformed by AI. We're the ones doing it, and this role is in the middle of it.

Compensation

For this role you need to reside in one of the following states: California (CA), Colorado (CO), Florida (FL), Georgia (GA), Illinois (IL), Indiana (IN), Maryland (MD), Massachusetts (MA), Montana (MT), New Hampshire (NH), New Jersey (NJ), New York (NY), North Carolina (NC), Ohio (OH), Pennsylvania (PA), Rhode Island (RI), Texas (TX), or Washington (WA). The annual base salary for this role is $110,000–$150,000, depending on experience and location, plus equity and benefits. 

Fairmarkit is an equal opportunity employer and selects individuals best matched for the job based on qualifications regardless of race, religion, color, creed, sex, sexual orientation, age, ancestry, national origin, gender identity, genetic information, disability, pregnancy, veteran or military status, or any other status protected by law.

What We Do 

Every enterprise buys things: equipment, raw materials, services, software. But finding suppliers still runs on email chains, spreadsheets, and fragmented systems. It's slow, inconsistently applied, and difficult to scale. Fairmarkit helps enterprises like BP, Boeing, and Snowflake source smarter and spend better. Our autonomous sourcing platform puts AI agents to work across every category of spend. The result: up to 86% purchasing acceleration and 11% of savings, a direct boost to the bottom line.

The Role

Procurement leaders learn about new technology from peers at conferences, around roundtable dinners, and in the rooms where practitioners get honest with each other. This role owns those rooms.

As our Field & Events Marketing Manager, you'll run Fairmarkit's full external presence: industry conferences, speaking opportunities, hosted field events, Customer Advisory Boards, and virtual programs. This is a hands-on role with real ownership — and a real pace. We run multiple events every month, big and small, and this person keeps all of it moving. 

You'll manage logistics and budget, order swag, coordinate speaking submissions, prepare teams, and still have a point of view on what's worth doing. That point of view extends to content: you'll collaborate with the team on what gets said on stage, in invitations, and in follow-ups, and you'll have real taste for what resonates with a procurement audience. AI-native efficiency isn't optional here; it's how you do the job well.

What You'll Do

• Own the annual events calendar: selection, prioritization, and budget allocation across industry conferences, regional field events, and virtual programs
• Partner with content and demand gen on event programming and messaging: you have a strong point of view on what procurement audiences actually find valuable, and you bring that into every agenda, speaker brief, and post-event touchpoint
• Plan and execute Customer Advisory Boards and customer roundtables with Customer Success end-to-end, from invitations through post-event follow-up
• Build and manage the speaking engagement pipeline: identify opportunities, coordinate submissions, and prep executives and customers for the stage
• Drive pre- and post-event promotion with demand generation: email, social, content sequencing
• Plan our annual event and 3-4 smaller, hosted Fairmarkit field events per year, including venue sourcing, vendor management, run-of-show, and attendee experience
• Handle all logistics: registration, vendor contracts, swag ordering, booth operations, travel coordination
• Use AI tools actively to streamline planning, personalize outreach, and move faster than a team twice your size; we’ll support with the tools you need! 
• Track event-attributed pipeline and report results to the Head of Revenue Marketing

What You'll Bring

• 5+ years of B2B field or event marketing experience in enterprise SaaS or technology
• A track record running events at every scale, from intimate executive dinners to 10,000-person industry conferences
• AI-native working habits: you reach for AI tools first and keep finding new ways to use them
• Real energy for the work: outgoing, comfortable in rooms full of strangers, genuinely enjoy representing a brand in the wild
• Strong project management instincts; you run a tight ship without making it feel that way
• Experience coordinating speaking programs and working with executive stakeholders
• Proficient with Marketo, Salesforce, ON24, or similar tools.
• Ability to travel up to 25–30% of the time

Huge bonus: procurement or procuretech experience. If you've worked in procurement, marketed to CPOs and sourcing leaders, or know tools like SAP Ariba, Coupa, or Workday Sourcing, you'll hit the ground running. We sell to a specific, tight-knit community, and knowing it from the inside changes everything.

Life at Fairmarkit

We're a remote-first team that's built culture intentionally. People here stay because the work is genuinely interesting, the mission has real stakes, and the team pulls together. Here's what that looks like in practice:

• Remote-first, flexible work
• Competitive and equitable pay + equity
• Strong benefits and wellness program
• Work-from-home stipend
• Real growth and development opportunities
• Direct ownership and impact from day one

Procurement is one of the last major enterprise functions being transformed by AI. We're the ones doing it, and this role is in the middle of it.

Compensation

For this role you need to reside in one of the following states: California (CA), Colorado (CO), Florida (FL), Georgia (GA), Illinois (IL), Indiana (IN), Maryland (MD), Massachusetts (MA), Montana (MT), New Hampshire (NH), New Jersey (NJ), New York (NY), North Carolina (NC), Ohio (OH), Pennsylvania (PA), Rhode Island (RI), Texas (TX), or Washington (WA). The annual base salary for this role is $110,000–$150,000, depending on experience and location, plus equity and benefits. 

Fairmarkit is an equal opportunity employer and selects individuals best matched for the job based on qualifications regardless of race, religion, color, creed, sex, sexual orientation, age, ancestry, national origin, gender identity, genetic information, disability, pregnancy, veteran or military status, or any other status protected by law.

About Brightfield

At Brightfield, we are revolutionizing the way organizations manage their workforce. As a pioneer in workforce analytics, our AI-powered platform, TDX (Talent Data Exchange), helps the world’s largest companies make smarter decisions about how they design, source, and manage their extended workforce.

With over $573B in real-world workforce spend data from 139 countries, we provide the insights our customers need to reduce costs, manage risk, and unlock new levels of agility and performance. Since 2006, we’ve been trusted by the Global 2000 to guide strategic workforce decisions with clarity and confidence.

We are a fully remote team of data-driven innovators, problem solvers, and industry experts who value flexibility, ownership, and continuous learning. At Brightfield, how we work together matters—and we’re building a company where curious, driven people can do their best work.

About the Role

Brightfield is seeking a Senior Data Integration Engineer to play a critical role in designing, building, and scaling the data pipelines and integrations that power TDX. This role is focused on integrating TDX with the customer’s data, workflows and processes.

You will lead the data integration and implementation of TDX API, data pipelines and integrations across internal systems, customer data sources, and third‑party platforms. This is a hands-on, senior-level role for an engineer who thrives in complex data environments, brings strong architectural judgment, and takes pride in building reliable and scalable data solutions. You will partner closely with Product, Data & Analytics, and Engineering to support Brightfield’s customers.

What You’ll Do

• Develop and manage integrations between internal systems, customer environments, SaaS platforms, and data warehouses using APIs and workflow orchestration tools.
• Analyze customer’s workflows and data sources to integrate, ingest and unify customer’s data and onboard to TDX platform.
• Implement TDX APIs with customer and partner solutions.
• Support Brightfield’s existing taxonomy and data processes, models, mappings, and transformation logic to support consistent, high-quality data output across the Brightfield platform.
• Optimize data pipelines for performance, scalability, resiliency, monitoring, and data quality.
• Ensure data integrity, security, and compliance by implementing validation, access controls, and governance best practices.
• Collaborate cross-functionally with Product, Data Science, Analytics, and Customer-facing teams to translate customer’s business and product requirements into technical solutions.
• Contribute to continuous improvement of Brightfield’s data analysis, infrastructure, tooling, and best practices.

What You Bring

• 5+ years of experience in data engineering, data integration, or backend software engineering, with a strong focus on building production data pipelines.
• Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience.
• Expert-level proficiency in Python and SQL, with deep experience transforming and working with large, complex datasets (structured and unstructured).
• Hands-on experience implementing customer workflows through REST APIs, including working with JSON data formats.
• Strong experience working with AWS and other cloud platforms and modern data warehouses (e.g., Snowflake).
• Solid understanding of data modeling, ETL/ELT best practices, and data quality management.
• Proven ability to troubleshoot complex data and integration issues across distributed systems.
• Comfort working in a remote-first, highly collaborative environment with distributed teams.
• Experience integrating enterprise or customer data at scale, particularly in analytics, SaaS, or data platform environments.
• Familiarity with event-driven architectures, message queues, or streaming technologies.
• Experience supporting AI, analytics, or machine learning workflows through reliable data pipelines.
• Knowledgeable in using AI to build and deploy data solutions.
• Prior experience mentoring or leading technical initiatives across teams.

We’re looking for a Senior Systems Analyst to lead complex data migration efforts for our customers. In this role, you’ll own the end-to-end migration lifecycle – working directly with customers to analyze, map, transform, and validate data as it moves from legacy systems into Bridgeway’s platform. 

This is a hands-on, customer-facing role for someone who is comfortable solving problems in real time and driving migrations to a successful go-live. 

Responsibilities: 

• Lead full-cycle data migrations across multiple customer projects (discovery → mapping → transformation → validation → go-live)
• Act as the primary technical contact for customers, guiding data strategy, surfacing risks, and managing expectations
• Collaborate with Business Analysts and other Professional Services teams to understand data requirements, provide data analyses to assist with the configuration of our software, and accurately map data to meet customer needs
• Analyze and validate large, complex datasets using advanced SQL
• Build and execute ETL/ELT processes (SSIS, Talend, Informatica, or similar)
• Develop data mapping logic, transformation rules, and validation strategies
• Identify and resolve data quality issues through profiling, cleansing, and root cause analysis
• Work across file formats (CSV, Excel) to support data exchange
• Plan and execute cutover activities, including go-live coordination and validation sign-off
• Partner with internal teams to troubleshoot issues and ensure accurate data delivery
• Mentor junior team members and contribute to improving migration processes and standards 

Requirements: 

• 5+ years of experience in data migration, warehousing, systems analysis, or ETL-focused roles
• Bachelor’s degree in Computer Science or a related field
• Advanced SQL or Python skills (complex queries, joins, performance tuning)
• Hands-on experience with ETL/ELT tools (SSIS preferred)
• Experience with scripting (Python or PowerShell) for automation
• Proven ability to manage multiple migrations at once without dropping the ball
• Strong customer-facing communication skills—you can explain technical issues without hiding behind jargon
• Use and understanding of data dictionaries, source to target mapping, and relational database concepts required
• High attention to detail and a problem-solving mindset
• Exposure to AI for data analysis, validation, or development a plus
• Databricks, Snowflake or similar a plus 

Bridgeway is an equal opportunity employer.

Location

• Remote location flexibility
• Must be able to work CST Hours

Job Description & Responsibilities:

The OneSix Sr. Project Manager is responsible for leading Client projects and global cross-functional OneSix teams to ensure solutions are delivered on time and on budget, and within the defined parameters of scope, timeline, and cost. They are the day-to-day Point of Contact for Clients, and partner closely with the Technical Lead on the project to guide and support the larger delivery team. The Project Manager is responsible for the planning, scheduling, and oversight of all project activities and deliverables, applying technical, theoretical, financial, and theoretical skills to satisfy project requirements, while building positive professional relationships with their Clients and delivery team.

• Create and maintain delivery roadmap,  based upon client’s priorities, backlog, and future initiatives.
• Ensure Client’s business goals are understood, success is defined and expectations are set and met.
• Establish clear project parameters supporting the success of all internal and client team members
• Develop and maintain all project schedules that outline scoped activities, deliverables, tasks, sequences, work effort, and resource requirements.
• Lead and oversee project execution, adhering to established processes and procedures and utilizing the appropriate tools on both macro roadmaps and individual projects.
• Support the team in negotiating and managing project scope, ensuring all project team members are aligned and on task and obstacles are promptly addressed to maintain forward momentum.
• Manage and mentor Project Managers, providing guidance, oversight, and professional development support to ensure consistent delivery excellence across engagements.
• Forecast, track, and manage project budgets, burn, and expected revenue recognition, based upon fee structure. Track & manage budgetary & profit impacts based upon decisions made through project duration. 
• Ensure all project deliverables meet OneSix quality standards and are created based on brand standards and templates.
• Plan and manage all project communications, both internal and external, ensuring clarity, efficient, clear, and actionable information.
• Identify, review, prioritize, mitigate project risks and issues and escalate as needed to ensure project success.
• Collaborate creatively and flexibly with clients and internal teams to resolve scope and budget challenges, delivering successful outcomes.
• Understand and communicate client business needs and goals to the internal team, advocating for those needs throughout the project lifecycle.
• Foster a positive and productive team environment by setting clear success criteria and supporting the growth and success of all team members.
• Uphold high standards of professional integrity, managing team performance and dynamics with the support of OneSix Leadership.
• Build strong client relationships to establish OneSix as a trusted partner, proactively identifying and flagging account expansion opportunities to leadership.
• Participate in business development by proposing solutions for anticipated client needs, including overseeing scoping, estimation, and proposals for new opportunities.

Experience, Qualifications & Skills:

• Proven track record delivering software or technology implementation projects ranging from $500k to $1MM, leveraging agile or waterfall principles while adhering to budget, timeline, scope, and resource constraints.
• Experience in a professional services environment (e.g., consulting firm, agency) 
• Skilled in managing multiple simultaneous engagements with delivery teams of 2-4+ FTEs across various fee structures (e.g., Time & Materials, Fixed Fee) and delivery models (e.g., Project, Retainer, Managed Services).
• Demonstrated ability to effectively manage both external and internal clients, with a focus on senior-level stakeholder engagement.
• Strong sense of urgency and a proactive approach to project management.
• Exceptional multitasking abilities, with a talent for swiftly adapting to changing priorities.
• Excellent communication skills—written, verbal, and listening—with meticulous attention to detail.
• Strong teamwork and interpersonal skills, fostering collaborative environments.
• Comprehensive understanding of project management principles, methods, and techniques
• Knowledge of the software development lifecycle.
• Understanding of financial concepts, including margin and revenue recognition across various fee structures and contract types
• Experience with project estimation and writing SOWs, Change Orders, etc. 
• Intermediate proficiency in Microsoft Project (or similar) and Microsoft Office Suite, particularly Excel and PowerPoint (or similar).

Scrum Master certification and experience with project management tools such as Jira, Trello, or Asana (preferred but not required).

Compensation / Benefits

•         Competitive compensation
•         Company-paid medical, vision, dental for employees 
•         Company-provided home office equipment
•         Flexible vacation and sick days
•         Team-oriented and supportive working environment
•         Company-sponsored events and swag

Compensation

This position offers a base salary in the range of $120,000–$140,000 USD annually, depending on experience and location. Compensation may vary based on factors including geographic location, level of experience, skills, and performance. This salary range reflects base pay only and does not include any additional compensation such as bonuses, equity, or benefits.

OneSix provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, familial status, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Job Description & Responsibilities

The Senior Lead Engineer Business Intelligence at OneSix works collaboratively to design and develop data-driven solutions that empower clients with actionable insights. This role is mission-critical, leading project teams, shaping project scopes, and working directly with clients to refine and implement BI strategies. While not a direct people manager, the Senior Lead Engineer serves as a technical team lead, providing mentorship, guidance, and strategic direction to team members to ensure successful project delivery. They are responsible for architecting scalable data solutions, optimizing analytics workflows, and leveraging best-in-class BI tools to solve our clients' most pressing challenges.

• Define and drive the BI strategy, ensuring alignment with business objectives.
• Lead and mentor a team of BI engineers, fostering a culture of innovation and continuous improvement.
• Collaborate with executives and key stakeholders to understand business needs and translate them into BI solutions.
• Design, implement, and optimize scalable data models and architectures for reporting and analytics.
• Oversee the development and maintenance of ETL pipelines, ensuring data integrity and performance.
• Manage cloud-based data platforms (AWS, Azure, GCP) and data warehousing solutions (Snowflake)
• Lead the development of enterprise-level dashboards, reports, and self-service BI tools.
• Implement and optimize BI solutions using Power BI, Tableau, Looker, or similar tools.
• Integrate advanced analytics, predictive modeling, and AI-driven insights into BI platforms.
• Establish and enforce BI best practices, including data governance, security, and documentation.
• Monitor and improve query performance, data processing efficiency, and system scalability.
• Ensure compliance with data privacy and security regulations.
• Work cross-functionally with data engineers, analysts, and business teams to align data strategies.
• Act as a key advisor on data-driven initiatives, influencing decision-making at the leadership level.
• Facilitate training and enablement programs to enhance BI adoption across the organization.

Experience, Qualification,  & Skills

• Bachelor's or Master’s degree in Computer Science, Information Systems, Data Analytics, or a related field.
• 6+ years of experience in business intelligence, data engineering, or a similar role.
• Expert-level proficiency in SQL, data modeling, and ETL development.
• Extensive experience with BI tools such as Power BI, Tableau, or Looker.
• Deep understanding of cloud data platforms (AWS, Azure) and data warehousing solutions.
• Strong programming skills in Python, R, or other scripting languages for data automation.
• Proven ability to lead teams and manage large-scale BI initiatives.
• Excellent problem-solving, strategic thinking, and stakeholder communication skills.
• Experience with machine learning, AI-driven analytics, or predictive modeling.
• Familiarity with data pipeline orchestration tools (Airflow, dbt, or similar).
• Knowledge of version control (Git) and CI/CD for data workflows.
• Background in Agile methodologies and project management.

Leadership & Soft Skills:

• Strong mentorship abilities and a passion for helping others grow.
• Ability to influence technical strategy without direct managerial authority.
• Effective communication skills to present complex ML concepts to diverse audiences.
• Problem-solving mindset and ability to work cross-functionally with different teams.

Compensation / Benefits

• Competitive compensation
• Company-paid medical, vision, dental, and wellness benefits for employees 
• Company-provided home office equipment
• Flexible vacation and sick days
• Team-oriented and supportive working environment   
• Company-sponsored events and swag

This position offers a base salary in the range of $140,000–$160,000 USD annually, depending on experience and location. Compensation may vary based on factors including geographic location, level of experience, skills, and performance. This salary range reflects base pay only and does not include any additional compensation such as bonuses, equity, or benefits.

OneSix provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, familial status, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

About the Role
We are seeking GTM Engineering interns to join our team for 6-12 months, with the opportunity to become a full-time team member afterwards pending performance. Interns will work closely with our GTM team on automating workflows and designing demos for client prospects. Interns will have an opportunity to work with cutting-edge AI technology and to be part of a dynamic and innovative team.

What you will be working on Weekly Basis

• Build and iterate on AI-powered go-to-market tools that help Safari AI scale outreach and accelerate deals
• Develop solutions that are robust across customer contexts: varying industries, use cases, and stages of the sales funnel, ensuring a consistent and compelling prospect experience
• Work with a growing team of sales, marketing, and product engineers to ship GTM experiments quickly and feed learnings back into the product roadmap
• Design and maintain the systems, templates, and data pipelines that power outbound sequences, lead nurturing flows, and customer onboarding
• Build and maintain AI-driven prospect research and account-scoring pipelines that surface high-fit venues (stadiums, theme parks, retail, cruise, ski) and enrich them with operational signals (camera count, footprint, parent org, tech stack)
• Develop vertical-specific demo environments and ROI calculators that translate Safari AI's computer vision outputs (queue times, dwell, occupancy, conversion) into language and metrics each buyer persona cares about
• Operate the outbound infrastructure stack — sending platform, CRM, enrichment, and reply-handling agents — and continuously tune deliverability, persona logic, and conversation state machines based on live performance data

Requirement for the Role

• Only students who can commit 6 months (2026/04-2027/01) will be screened
• Senior undergraduate or graduate school students in computer science or relevant field with exposure to classic and modern computer vision and machine learning techniques
• Excellent written and verbal communication skills
• Self-motivated, critical thinking and enthusiastic in solving real-world problems
• Experience with public cloud such as GCP, Azure or AWS
• Ability to design, implement, present, and operate independently without oversight
• Good business insight and exceptional analytical skills
• Comfortable wiring together modern GTM tooling (HubSpot, SmartLead/Instantly, Clay, Apollo, Zapier/n8n, Notion) and writing light Python or TypeScript to glue systems together
• Hands-on experience prompting and orchestrating LLM APIs (Anthropic, OpenAI) for production use cases — not just chat, but agents, classification, and structured output
• Working knowledge of SQL and at least one data warehouse or relational DB (PostgreSQL, BigQuery, Snowflake)

Nice to Have's

• Experiences in startup environment
• Exposure to B2B enterprise sales motions, especially with non-technical buyers in physical-venue industries (sports, hospitality, retail, attractions)
• Familiarity with computer vision concepts and the operational realities of CCTV/IP camera deployments
• Prior work building internal tools, dashboards, or AI agents that were actually adopted by a non-engineering team

What Safari AI Offers

• An opportunity to shape an early-stage AI startup and revolutionize how businesses get data and make decisions
• Professional growth at a fast-growing, venture-funded startup with a proven founder and leadership team

The Company

Outrider is a software company that is automating distribution yards with electric, self-driving trucks. Our system eliminates manual tasks that are hazardous and repetitive while it improves safety and efficiency. Outrider’s mission is to drive the rapid adoption of sustainable freight transportation. We are a private company founded in 2018 and backed by NEA, 8VC, Koch Disruptive Technologies, NVIDIA, and other top-tier investors. Our customers are Fortune 200 companies and our autonomous trucks are already running in distribution yards. For more information, visit www.outrider.ai

Overview

The Manager,Cloud and Data will report to the VP of Engineering and lead the Cloud and Data team. This individual will lead the team to architect, implement, and operate critical scalable data infrastructure for a geographically distributed robot fleet and company.

Key Responsibilities

• Mentor team members
• Architect, build, and maintain scalable data infrastructure
• Manage the day-to-day of team members
• Support long term planning, scheduling and budgeting
• Support hiring, mentoring and team growth
• Contribute generally to the growth and success of the Company and the building of a vibrant culture focused on the responsible deployment of zero-emission autonomous vehicle technology.
• Effectively partner with others in the organization with thoughtfulness and empathy

Required Qualifications

• 3+ years of technical experience in data engineering, including expertise with SQL, Python, distributed processing (e.g., Spark/PySpark), ETL/ELT, and cloud services (AWS/GCP)
• 2+ years of team management experience, including hiring, mentoring, and retaining high-impact, diverse teams
• Experience evaluating and integrating external services and software
• Experience leveraging agentic AI for team and organizational succes

Ideal Qualifications

• Experience with IoT and related technologies
• Experience with PostgreSQL, Clickhouse, Streamlit, AWS Batch, and streaming data tools (e.g., Kafka/Flink), modern data warehouses (e.g., Snowflake/Athena(Trino)), and Kubernetes (k8)

Compensation & Benefits

• Salary: $140,000 - $160,000
• Equity: equity package commensurate on experience and skills
• Benefits: Full health benefits
• Actual compensation is based on several factors, including but not limited to job-related skills, qualifications, experience, and specific work location due to differences in the cost of labor

Overview

The centralized Data and Analytics team at Recharge delivers critical analytic capabilities and insights for Recharge’s business and customers. 

As a Senior Data Engineer, you will build scalable data pipelines and infrastructure that power internal business analytics and customer-facing data products.  Your work will empower data analysts to derive deeper strategic insights from our data, and will  enable developers to build applications that surface data insights directly to our merchants. 

What you’ll do

• Build data pipeline, ELT and infrastructure solutions to power internal data analytics/science and external, customer-facing data products.
• Create automated monitoring, auditing and alerting processes that ensure data quality and consistency.
• Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models
• Design, develop, implement, and optimize existing ETL processes that merge data from disparate sources for consumption by data analysts, business owners, and customers
• Seek ways to continually improve the operations, monitoring and performance of the data warehouse
• Influence and communicate with all levels of stakeholders including analysts, developers, business users, and executives.
• Redesign and optimize existing data processes using AI (e.g., LLM-assisted development, automated documentation, issue resolution) to improve team productivity and enhance data quality across the data warehouse
• Live by and champion our values: #day-one, #ownership, #empathy, #humility.

What you’ll bring

• Typically, 5+ years experience in a data engineering related role (Data Engineer, Data Platform Engineer, Analytics Engineer etc) with a track record of building scalable data pipeline, transformation, and platform solutions. 
• 3+ years of hands-on experience designing and building data pipelines and models  to ingesting, transforming and delivery of large amounts of data, from multiple sources into a Dimensional (Star Schema) Data Warehouse, Data Lake.
• Experience with a variety of data warehouse, data lake and enterprise data management platforms (Snowflake {preferred}, Redshift, databricks, MySQL, Postgres, Oracle,  RDS, AWS, GCP)
• Experience building data pipelines, models and infrastructure powering external, customer-facing (in addition to internal business facing) analytics applications.
• Solid grasp to data warehousing methodologies like Kimball and Inmon
• Experience working with a variety of ETL tools. (FiveTran, dbt, Python etc)
• Experience with workflow orchestration management engines such as Airflow & Cloud Composer
• Hands on experience with Data Infra tools like Kubernetes, Docker
• Expert proficiency in SQL
• Strong Python proficiency

Interview recording & AI notetakers
To protect privacy, legal compliance, and interviewer/candidate experience, recording, transcribing, or using AI notetaker tools during interviews is not permitted without our prior written consent. Handwritten notes are welcome. If you need an accommodation (e.g., captions), email recruiting@getrecharge.com before your interview—we’ll arrange an approved solution.

Compensation 

Recharge’s compensation offerings are grounded in a pay-for-performance philosophy that recognizes exceptional individual and team performance. Salary ranges are designed to be competitive and aligned with country specific practices, while individual compensation is determined by skills, qualifications, and experience. The compensation listed is not inclusive of any equity and benefits that might exist in your total compensation package.

• Hiring range in the US
  $148,000 USD - $185,000 USD
• Hiring range in Canada
  $108,000 CAD - $136,000 CAD

Application window anticipated to close: 6/1/2025. If you’re interested in this opportunity, please submit an application as soon as possible.

Overview 

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

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

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

Responsibilities

Strategic Alliance Development 

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

Revenue and Pipeline Generation 

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

Partner Relationship Management 

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

Partner Event & Ecosystem Strategy 

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

Joint Marketing & Market Positioning 

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

Enablement & Internal Alignment 

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

Qualifications

Required Experience 

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

Preferred Experience 

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

Skills & Attributes

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

Physical Requirements 

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

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

Within the P&C domain, this role supports modernization of the data ecosystem including transition from DHIC (DataHub/InfoCenter) to a CDA (Cloud Data Access) architecture that enables access to Guidewire base tables. The role contributes to building consolidated data assets combining Guidewire with legacy P&C mainframe systems.  Support the phased transition from DHIC reporting structures to CDA-based data access framework.  Experience with Guidewire platforms (PolicyCenter, BillingCenter, ClaimCenter) and familiarity with Guidewire data models.  Experience working with Guidewire DHIC and CDA (Cloud Data Access) frameworks required.  

This position has a wide degree of autonomy, and the incumbent must have the ability to move projects forward based on experience and industry standards.  The position is charged with:

•    Anticipating IT industry future directions and relates it to (Horace Mann) evolving needs This includes evolving enterprise data architecture and Guidewire platform capabilities.
•    Applying expertise for the development, specification and communication of the technology architecture that is applicable to their domain
•    Conforms and contributes to standards and environment needs
•    Flexibility to effectively provide leadership when called upon to provide some project management for single project involving their area of technical expertise
•    Works on multiple projects that require in-depth knowledge across multiple technical areas and business segments. Projects will include Guidewire data integration, P&C reporting solutions, and legacy system data consolidation.
•    Typically works on a defined set of solutions in all lifecycle stages for a particular business domain

This position is a seasoned subject matter expert in multiple technical roles. They must have the capacity to work on multiple projects as project leader or as the subject matter expert.

Challenges
•    Establishing, contributions to and team level enforcement of standards and processes
•    Interweaving technology enhancements into business initiatives
•    Proactively exploiting opportunities to improve the operation’s effectiveness and reduce cost
•    Keeping abreast of changes/innovations in the IT field and applying that knowledge in an effective and timely manner to Horace Mann IT practices
•    Establishing and communicating a cohesive technology direction in partnership with the business initiatives
•    Understanding and communicating how their portfolio cooperates and meets the needs of their business domain
•    Helping establish and communicate the changes needed to modernize the IT systems and business processes while maintaining operations and legacy support

Principle Accountabilities
•    Team conformance and contribution to standards
•    Technical solution planning to meet the needs of their business domain
•    Incorporating technology advancements into existing solutions
•    Communication
•    Team’s delivery of the technical portions of projects

Education and Experience 
Bachelor’s degree in Computer science, Information Systems, or other related field, Or equivalent work experience.  4-6 years of IT work experience in multiple IT areas 1-2 years of project management experience.  Must have a commitment to continuing education.  Appropriate industry certification (s) a plus.

Required Competencies
•    Excellent oral and written communication with a strong sense of professionalism and tact.  Must be able to communicate effectively to IT and Business.
•    Self-motivated and goal-oriented individual.  Demonstrated record of initiative,  record of initiative, adaptability and decision making.
•    Proven ability to seek out and solve problems; go beyond the obvious to gain performance
•    Strong project management skills and solid team-player

Technology Competencies
•    Experience required with Guidewire CDA and DHIC 
•    Experience preferred with Snowflake data platform and cloud data warehousing.
•    Experience preferred with dbt (data build tool) for data transformations, testing, and documentation.
•    Strong experience with Guidewire platforms with an understanding of the data model.
•    Strong working knowledge of dependencies between software development and infrastructure design.
•    Specific to targeted platform – Expert level working knowledge of development and debugging tools
•    Strong working knowledge of database design and query including advanced SQL development for large insurance datasets.
•    Strong working knowledge of SDLC and Project Life Cycle principles
•    Expert level working knowledge of platform specific code repository products
•    Specific to targeted platform – strong working knowledge of client-side and server-side scripting
•    Strong design and documentation skills using tools and techniques such as pipeline design patterns,  DB design, and infrastructure diagrams.

Pay Range:

• $105,200.00 - $147,950.00  

Salary is commensurate to experience, location, etc.

#VIZI 

#LI-LM1 

Are you an experienced business consultant, project strategist and data technologist all wrapped-up into one?  If so, then you are exactly who we are looking for!

As a Senior Delivery Lead at Mammoth Growth, you will be responsible for overseeing multiple client engagements, ensuring project success from inception to completion. You will lead multidisciplinary teams implementing agentic AI-driven analytics and data engineering solutions while maintaining client satisfaction and project profitability.

What You’ll Do:

• Manage multiple concurrent client projects, ensuring they remain on schedule and within budget
• Serve as the primary client liaison, communicating effectively with both executive and technical stakeholders
• Lead implementation teams comprised of data engineers, analytics engineers, and AI specialists
• Lead sprint (or Kanban) planning and execution, driving agile practices that foster alignment, transparency, and accountability across the team
• Develop and manage project plans and roadmaps, ensuring clear timelines for upcoming initiatives while proactively identifying risks and mitigation strategies to keep delivery schedules on track
• Facilitate client workshops and discovery sessions to identify business requirements
• Ensure architecture decisions and data implementations meet business objectives 
• Present project progress and deliverables to client stakeholders with visual storytelling excellence
• Communicate project health to executive and account management teams, highlighting business value delivered, renewal risks, and opportunities for expansion or extension.
• Coach and mentor team members to enhance delivery capabilities

What You’ll Bring:

• 5+ years of experience in consulting or professional services, preferably in data analytics or AI implementation
• Proven track record of successful project delivery in data-driven environments
• Previous exposure to Snowflake, DBT, or similar modern data stack technologies preferred
• Strong understanding of analytics engineering and data engineering principles
• Excellent communication skills, with the ability to translate technical concepts to business stakeholders
• Experience building and presenting strategic roadmaps for data initiatives
• Background in managing multidisciplinary teams in an agile environment
• Bachelor's degree in a relevant field or equivalent work experience

What Sets You Apart:

• Demonstrated experience leveraging AI tools, particularly in marketing or analytics contexts
• Understanding of data privacy regulations and best practices
• Prior consulting experience in mid-market or enterprise environments
• Demonstrated ability to maintain client relationships while driving business outcomes
• History of successful on-time, on-budget project delivery

Ready to architect the future of data? We'd love to hear from you.

Why This Role is Different

Here at Mammoth Growth, we’re going beyond just building data pipelines, we're pioneering the future of AI-enhanced analytics engineering. Our team has developed custom workflows that combine our decade of best practices with cutting-edge AI capabilities. We've built a team, toolset and workflow that utilizes the best AI models to accelerate delivery while maintaining the quality standards we're known for.

As a Technical Architect, you'll be at the forefront of this transformation, working with our AI-enhanced tooling while guiding clients through complex data challenges. You'll define architecture, code hand in hand with agents, review code, and deliver solutions that exceed industry standards.

You will be immersing yourself in a contemporary data stack environment. While familiarity with tools like dbt, Snowflake, and BigQuery are vital, your ability to draw from broad experiences will be paramount.

What You’ll Do:

Technical Leadership

• Be the go-to expert in the room of how we are going to implement the solution
• Articulate and defend your recommendations
• Doing what it takes to move the project toward its goals
• Anticipate future problems and proactively mitigating them

Create Solutions

• Evaluate and document a client’s current systems
• Helping clients to realize their strategy and define their future roadmap
• Design and recommend new systems architecture
• Design the data architecture based on business requirements
• Design custom engineering integrations and solutions

Hands On Execution

• Build complex dbt implementations following medallion architecture patterns
• Design and implement model contracts, versioning strategies, and frameworks
• Conduct rigorous code reviews ensuring quality and testing coverage

What You’ll Need:

• Expert-level dbt proficiency: Complex modeling, macros, testing strategies, model contracts, state comparison, and performance optimization
• Deep cloud data warehouse experience: Extensive hands-on work with Snowflake AND BigQuery, including architecture, optimization, and advanced features
• Advanced SQL mastery: Query optimization, complex transformations, and performance troubleshooting
• Git proficiency: Branching strategies, PR workflows, CI/CD pipelines, and collaborative development practices
• Systems architecture: Proven experience designing and implementing scalable cloud-based data solutions
• Modern ELT architecture: Solid understanding of medallion architecture and evolving best practices
• Prompt engineering: Experience crafting detailed, effective prompts for LLMs
• AI Experience: understanding of top models and how to effectively implement them in development workflows. 

Qualities:

• Demonstrated ability to quickly assess, strategize, and resolve high-stakes situations with calm precision and efficiency
• Inquisitive with an attention to detail and ability to ask the right questions at the right time
• Independently organized; self-starter; ability to work with minimal direction
• Good communication / client facing skills / ability to work in a team environment
• Enjoy learning new tools to better solve new challenges

At Mammoth Growth, the Senior Analytics Engineer / Jr. Tech Lead focuses on building complex data infrastructure using dbt, Snowflake, and modern ELT tools while providing technical guidance and expertise. You'll design scalable data pipelines, implement governance frameworks, and leverage AI tools to optimize development workflows. The position requires hands-on technical work combined with code review responsibilities and team guidance.

What You'll Do

• Build complex data models using dbt with optimal performance and maintainability 
• Design and optimize Snowflake data pipelines leveraging advanced features for scalability
• Configure database environments, manage permissions, access control, and implement data governance frameworks
• Implement ELT processes using modern data stack tools such as Fivetran
• Write high-quality code following Git workflows, code reviews, and CI/CD practices
• Conduct data quality audits and implement automated testing frameworks
• Leverage AI tools (Claude, ChatGPT) to enhance development productivity and solution quality
• Apply prompt engineering and implement agentic workflows using MCPs
• Mentor Analytics Engineers I and II, providing technical guidance and code reviews 
• Collaborate with Technical Leads and Sr. Consultants on complex project decomposition and execution 
• Present technical solutions and audit findings to clients
• Independently manage project components while coordinating with cross-functional teams
• Support project planning with technical expertise and risk assessment

What You'll Bring

Technical Skills

• Advanced dbt proficiency with complex modeling, macros, and performance optimization
• Deep Snowflake expertise including architecture, optimization, and advanced features
• Hands-on experience with Fivetran and modern data stack ecosystem 
• Proficient in Git/GitHub workflows, branching strategies, and collaborative development
• Advanced SQL skills with query optimization and performance troubleshooting 
• Understanding of dimensional modeling and analytics engineering methodologies
• Experience with cloud environments and scalable solutions in AWS and/or GCP
• Familiarity with project management tools like Jira

AI & Innovation Skills

• Demonstrated experience with Claude, ChatGPT, and other LLM platforms
• Familiarity with agentic tools such as CoPilot, RooCode, and others
• Prompt engineering skills for code generation, documentation, and problem-solving
• Strong interest or direct experience in agentic workflows and Model Context Protocols (MCP)
• Ability to integrate AI tools into technical workflows

Professional Skills

• 5-7+ years of analytics engineering or data engineering experience
• Strong problem-solving abilities with complex technical challenges
• Excellent communication skills for technical and business stakeholders
• Experience mentoring junior team members
• Self-motivated with ability to work independently and collaboratively

Overview

Velir x Brooklyn Data is looking for a Sales Hunter to drive new customer acquisition for our Data and AI consulting practice. This is an individual contributor role for a strategic seller who thrives on the "chase." You will be responsible for opening doors, working closely with our Data & AI partners, navigating a variety of situations including complex enterprise sales cycles, and positioning Velir x Brooklyn Data as the premier trusted partner for strategic consulting all the way through to modern data stack solutions. Your success will be measured by your ability to consistently build a pipeline and be that “sales QB” that drives all the way through the sales process and close high-value, data-driven solutions that solve our client’s business problems.

Responsibilities

• Outbound Prospecting: Identify and penetrate new accounts through direct hunting, social selling, and leveraging your existing network.
• Partner Ecosystem: Proactively co-sell with key technology partners (Snowflake, Databricks, dbt, Domo, Sigma and others) to identify and win "new business" opportunities.
• Full-Cycle Sales Ownership: Lead the entire sales process using value-based selling frameworks (e.g., MEDDPICC or Challenger) from initial cold outreach and qualification to final contract negotiation and closing.
• Strategic Territory Development: Build and execute a "go-to-market" plan for your assigned territory or vertical to maximize Velir’s market share in the Data & AI space.
• Expert Solution Positioning: Confidently articulate the value of modern data architectures, AI/ML strategies, and analytics to C-level executives and technical stakeholders. We sell with a consultative, solution-based approach.
• Pipeline Management: Maintain a clean and predictable sales pipeline, ensuring consistent movement of deals through the funnel to hit annual revenue targets.

Skills & Qualifications:

• 10+ years’ experience in a specialized "Hunter" sales role within data, AI, software or SaaS.
• Proven Track Record: A documented history of exceeding quotas and winning new logos in the mid-market and enterprise space.
• Partner Network: Established, "ready-to-call" relationships with channel managers and account executives at Snowflake, Databricks, Dbt, Domo, or Sigma is an absolute plus.
• Modern Data Stack Literacy: High "data IQ"—you don't need to write SQL, but you must be able to discuss data modeling, cloud warehouses, and AI use cases fluently.
• Executive Presence: The ability to navigate and influence "the room" all the way up to the VP and C-Suite level.
• Community Engagement: Active participation in the modern data and AI community (e.g., LinkedIn, dbt meetups, or local data events) to build brand authority and influence.
• Self-Starter Mentality: You don't wait for inbound leads; you love being a hunter where you solve customer problems, create solid relationships and want to get rewarded for it.
• Ability to travel up to 25%

Physical Requirements

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

Compensation Range: Base compensation annually plus competitive commission plan

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

Chartbeat’s intuitive and powerful software has long empowered media brands to use their own data to build loyal audiences across desktop, social, and mobile platforms. With easy-to-use real-time and historical analytics, in-page optimization and testing tools, and unique insights into audience engagement, Chartbeat’s products bring value to editorial, product, and business teams. 

In 2023, Chartbeat acquired Tubular Labs, a leader in global social video intelligence and measurement. Tubular provides a unified view of the shifting values and interests of audiences across YouTube, Instagram, Facebook, TikTok and Twitch. Together, we’re expanding the ecosystem of insights we provide to enterprise content creators who are developing audiences and revenue streams across channels. 

The data we process each day is massive in scale, Chartbeat’s products measure nearly 100 billion pageviews each month, over 1 million messages pass through our data systems each second and support measuring tens of millions of concurrent visitors across our customers’ sites. At Tubular, we have empowered 5,000+ creators and 200+ enterprise customers to create content with confidence, improve their organic and paid promotion, find and partner with influencers, and report it all out efficiently. Tubular analyzes the engagement of the world of digital video viewers and tracks 7+ billion videos and live streams across all major social platforms.

The Tech Stack and Team

Our Engineering systems use an exciting array of technologies. Most of our backend systems use Python and the frontend uses React, Angular and JavaScript. We also use a variety of database technologies, including PostgreSQL, Snowflake, Redshift, and Redis. Everything is connected by message buses powered by Apache Kafka and RabbitMQ. We are a small and strong team of under 50 engineers and an Engineering Intern at Chartbeat, you will have the opportunity to work with our core engineering team responsible for building, scaling, and maintaining our data systems, front end, analysis engines, and APIs. 

Intern Job Description

As an engineering intern at Chartbeat, you will be on a small cross-functional scrum team (typically, a few engineers, a designer, a data scientist, and a product manager) that will define your day-to-day activity — your team will collaborate to plan sprint goals and execute on those. As a member of the larger engineering organization, you’ll participate in team meetings, demos, tech talks, discussions and learning/teaching opportunities. You will work closely with a mentor, who will help you build and deploy our products. Candidates are expected to have experience in one of our preferred coding languages given below, basic knowledge of working with version control software (git) and project management tools such as jira. 

QA Engineering Intern

Preferred Skills: Basic knowledge of Python, React, Angular, JavaScript

Our Engineering systems use an exciting array of technologies. Most of our backend systems use Python and the frontend uses React, Angular and JavaScript. We also use a variety of database technologies, including PostgreSQL, Snowflake, Redshift, and Redis. Everything is connected by message buses powered by Apache Kafka and RabbitMQ. We are a small and strong team of under 50 engineers and an Engineering Intern at Chartbeat, you will have the opportunity to work with our core engineering team responsible for building, scaling, and maintaining our data systems, front end, analysis engines, and APIs. As an engineering intern at Chartbeat, you will be on a small cross-functional scrum team (typically, a few engineers, a designer, a data scientist, and a product manager) that will define your day-to-day activity — your team will collaborate to plan sprint goals and execute on those. As a member of the larger engineering organization, you’ll participate in team meetings, demos, tech talks, discussions and learning/teaching opportunities. You will work closely with a mentor, who will help you build and deploy our products. Candidates are expected to have experience in one of our preferred coding languages given below, basic knowledge of working with version control software (git) and project management tools such as jira. 

Working at Chartbeat

During your time at Chartbeat, you can expect to work with a modern software development stack and engineering systems built for scale. You will also have a chance to meet heads of other departments such as Sales, Finance, Product and more, who will give you a view into what and how they work, it will be an opportunity not only to dive into all things engineering, but also to learn about how an enterprise SaaS company works end to end. Some logistics info, the internship will be fully remote with an expectation to work during the US east coast business hours. We will be providing a Macbook that will be used and returned back to us after the internship. Interns in the NYC area will have the chance to meet some of our local team members at a co-working space occasionally and work together. Finally, our interns will also be able to expense two lunches every month when meeting with anyone at the company - we encourage them to mix and mingle! 

Data Engineering Internship: 

Preferred Skills: Python, SQL

Chartbeat’s intuitive and powerful software has long empowered media brands to use their own data to build loyal audiences across desktop, social, and mobile platforms. With easy-to-use real-time and historical analytics, in-page optimization and testing tools, and unique insights into audience engagement, Chartbeat’s products bring value to editorial, product, and business teams. 

In 2023, Chartbeat acquired Tubular Labs, a leader in global social video intelligence and measurement. Tubular provides a unified view of the shifting values and interests of audiences across YouTube, Instagram, Facebook, TikTok and Twitch. Together, we’re expanding the ecosystem of insights we provide to enterprise content creators who are developing audiences and revenue streams across channels. 

The data we process each day is massive in scale, Chartbeat’s products measure nearly 100 billion pageviews each month, over 1 million messages pass through our data systems each second and support measuring tens of millions of concurrent visitors across our customers’ sites. At Tubular, we have empowered 5,000+ creators and 200+ enterprise customers to create content with confidence, improve their organic and paid promotion, find and partner with influencers, and report it all out efficiently. Tubular analyzes the engagement of the world of digital video viewers and tracks 7+ billion videos and live streams across all major social platforms.

The Tech Stack and Team

Our Engineering systems use an exciting array of technologies. Most of our backend systems use Python and the frontend uses React, Angular and JavaScript. We also use a variety of database technologies, including PostgreSQL, Snowflake, Redshift, and Redis. Everything is connected by message buses powered by Apache Kafka and RabbitMQ. We are a small and strong team of under 50 engineers and an Engineering Intern at Chartbeat, you will have the opportunity to work with our core engineering team responsible for building, scaling, and maintaining our data systems, front end, analysis engines, and APIs. 

Intern Job Description

As an engineering intern at Chartbeat, you will be on a small cross-functional scrum team (typically, a few engineers, a designer, a data scientist, and a product manager) that will define your day-to-day activity — your team will collaborate to plan sprint goals and execute on those. As a member of the larger engineering organization, you’ll participate in team meetings, demos, tech talks, discussions and learning/teaching opportunities. You will work closely with a mentor, who will help you build and deploy our products. Candidates are expected to have experience in one of our preferred coding languages given below, basic knowledge of working with version control software (git) and project management tools such as jira. 

Frontend Engineering Internship 

Preferred Skills: React or Angular, JavaScript

Job Summary

The Manager, Investment Risk will manage key aspects of investment risk and credit risk modeling, including oversight and approval of data inputs and assumptions, investment analytics and reporting, establishing investment policy through risk appetite analysis.  This role will also be responsible for developing and implementing enhancements to the reporting process, as well as refining methodologies for risk monitoring.

This position reports to the Director, Financial & Investment Risk.  This position will work with other members of the Risk team and other functional areas within the Company, including Investments, Finance, Legal, IT, and key members of external asset managers serving the Company.

Duties and Responsibilities

• Manage expansion, enhancement and ongoing maintenance of asset models focused on credit risk and capital implications, including validation and approval of inputs and assumptions, analysis and reporting of credit risk analytics and results, and driving decision making from the model results
• Manage, enhance, and validate investments governance and documentation, including investment guidelines, and investment policies and limits, to reflect changing macro variables, changing company structure, reinsurance arrangements, regulatory updates and industry changes/reforms
• Manage and automate investment monitoring and reporting tools and systems, including investment limits based on liquidity, credit risk, capital at risk, and regulatory compliance reporting
• Partner with the Investments team to enhance portfolio monitoring and guide strategic decision-making
• Liaise with external asset managers to provide timely regular updates to reporting and analytics, scenario modeling, and data needs for improved and timely support of credit loss models and compliance reporting
• Liaise with partners in Finance and Actuarial to support platform modernization projects to best leverage the platforms for investment analytics, monitoring and compliance reporting, to help drive improvements to asset and ALM modeling, and to provide guidance and support for the successful completion of the modernization projects
• Work collaboratively with other personnel in the Risk department, supporting the expansion of the risk function
• Support efforts to grow distribution, helping to provide input to risk governance and feedback to the launch of new products and distribution channels.
• Promote risk informed decision making across the enterprise
• Support new reinsurance due diligence, establish/negotiate investment guideline, and operationalize process for monitoring
• Work closely with Investment Portfolio Analytics and external asset managers to report on portfolio metrics, provide analytical insights, and identify emerging risks
• Evaluate best practice credit risk modeling
• Assist with any ad-hoc analytical requests

Experience and Education Requirements

• Bachelor’s degree in mathematics, economics, investments or related field.
• 7 years of investment risk management experience or investment-related experience
• CFA, ASA, FRM and/or MFE designation preferred
• Experience with asset modeling, monitoring, and analytics preferred

Knowledge, Skills & Abilities

• Strong capabilities in MS Excel, familiarity with MS Access & SQL, and demonstrated capability to learn to work with modeling and analytic platforms such as Bloomberg, Aladdin and risk or ALM modeling platforms
• Effective verbal and written communication skills
• Superior analytical and problem-solving skills
• Team player who is comfortable working in a dynamic, entrepreneurial environment
• Strong capabilities with Bloomberg, Aladdin or similar modeling and investment systems
• Demonstrated proficiency of Python through work projects
• Knowledge of cloud technologies such as Snowflake, AWS, Azure and GCP

Other Requirements

• Perform other functions, duties and projects, as assigned.
• Regular and punctual attendance.
• Some travel may be required (less than 10%).

#IND-HP

#LI-MK1

#LI-Remote.

Data Engineer

$100k - $140k

Who We Are.

Wynd Labs is an early-stage startup that is on a mission to make public web data accessible for AI through contributions to Grass.

Grass is a network sharing application that allows users to share their unused bandwidth. Effectively, this is a residential proxy network that directly rewards individual residential IPs for the bandwidth they provide. Grass will route traffic equitably among its network and meter the amount of data that each node provides to fairly distribute rewards.

In non-technical terms: Grass unlocks everyone's ability to earn rewards by simply sharing their unused internet bandwidth on personal devices (laptops, smartphones).

This project is for those who lead with initiative and seek to challenge themselves and thrive on curiosity.

We operate with a lean, highly motivated team who revel in the responsibility that comes with autonomy. We have a flat organizational structure, the people making decisions are also the ones implementing them. We are driven by ambitious goals and a strong sense of urgency. Leadership is given to those who show initiative, consistently deliver excellence and bring the best out of those around them. Join us if you want to set the tone for a fair and equitable internet.

The Role.

We are seeking a Data Engineer with expertise in building and maintaining robust data pipelines and integrating scalable infrastructure. You will join a small, talented team and play a critical role in designing and optimizing our data systems, ensuring seamless data flow and accessibility. Your contributions will directly support our mission to position Grass as a key player in the evolution of data-driven innovation on the internet.

Who You Are.

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related technical field.
• Extensive experience with database systems such as Redshift, Snowflake, or similar cloud-based solutions.
• Advanced proficiency in SQL and experience with optimizing complex queries for performance.
• Hands-on experience with building and managing data pipelines using tools such as Apache Airflow, AWS Glue, or similar technologies.
• Solid understanding of ETL (Extract, Transform, Load) processes and best practices for data integration.
• Experience with infrastructure automation tools (e.g., Terraform, CloudFormation) for managing data ecosystems.
• Knowledge of programming languages such as Python, Scala, or Java for pipeline orchestration and data manipulation.
• Strong analytical and problem-solving skills, with an ability to troubleshoot and resolve data flow issues.
• Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes) technologies for data infrastructure deployment.
• Collaborative team player with strong communication skills to work with cross-functional teams.

What You'll Be Doing.

• Designing, building, and optimizing scalable data pipelines to process and integrate data from various sources in real-time or batch modes.
• Developing and managing ETL/ELT workflows to transform raw data into structured formats for analysis and reporting.
• Integrating and configuring database infrastructure, ensuring performance, scalability, and data security.
• Automating data workflows and infrastructure setup using tools like Apache Airflow, Terraform, or similar.
• Collaborating with data scientists, analysts, and other stakeholders to ensure efficient data accessibility and usability.
• Monitoring, troubleshooting, and improving the performance of data pipelines and infrastructure to ensure data quality and flow consistency.
• Working with cloud infrastructure (AWS, GCP, Azure) to manage databases, storage, and compute resources efficiently.
• Implementing best practices for data governance, data security, and disaster recovery in all infrastructure designs.
• Staying current with the latest trends and technologies in data engineering, pipeline automation, and infrastructure as code.

Why Work With Us.

• Opportunity. We are at at the forefront of developing a web-scale crawler and knowledge graph that allows ordinary people to participate in the process, and share in the benefits of AI development.
• Culture. We’re a lean team working together to achieve a very ambitious goal of improving access to public web data and distributing the value of AI to the people. We prioritize low ego and high output.
• Compensation. You’ll receive a competitive salary and equity package.

Data Engineer

$100k - $140k

Who We Are.

Wynd Labs is an early-stage startup that is on a mission to make public web data accessible for AI through contributions to Grass.

Grass is a network sharing application that allows users to share their unused bandwidth. Effectively, this is a residential proxy network that directly rewards individual residential IPs for the bandwidth they provide. Grass will route traffic equitably among its network and meter the amount of data that each node provides to fairly distribute rewards.

In non-technical terms: Grass unlocks everyone's ability to earn rewards by simply sharing their unused internet bandwidth on personal devices (laptops, smartphones).

This project is for those who lead with initiative and seek to challenge themselves and thrive on curiosity.

We operate with a lean, highly motivated team who revel in the responsibility that comes with autonomy. We have a flat organizational structure, the people making decisions are also the ones implementing them. We are driven by ambitious goals and a strong sense of urgency. Leadership is given to those who show initiative, consistently deliver excellence and bring the best out of those around them. Join us if you want to set the tone for a fair and equitable internet.

The Role.

We are seeking a Data Engineer with expertise in building and maintaining robust data pipelines and integrating scalable infrastructure. You will join a small, talented team and play a critical role in designing and optimizing our data systems, ensuring seamless data flow and accessibility. Your contributions will directly support our mission to position Grass as a key player in the evolution of data-driven innovation on the internet.

Who You Are.

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related technical field.
• Extensive experience with database systems such as Redshift, Snowflake, or similar cloud-based solutions.
• Advanced proficiency in SQL and experience with optimizing complex queries for performance.
• Hands-on experience with building and managing data pipelines using tools such as Apache Airflow, AWS Glue, or similar technologies.
• Solid understanding of ETL (Extract, Transform, Load) processes and best practices for data integration.
• Experience with infrastructure automation tools (e.g., Terraform, CloudFormation) for managing data ecosystems.
• Knowledge of programming languages such as Python, Scala, or Java for pipeline orchestration and data manipulation.
• Strong analytical and problem-solving skills, with an ability to troubleshoot and resolve data flow issues.
• Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes) technologies for data infrastructure deployment.
• Collaborative team player with strong communication skills to work with cross-functional teams.

What You'll Be Doing.

• Designing, building, and optimizing scalable data pipelines to process and integrate data from various sources in real-time or batch modes.
• Developing and managing ETL/ELT workflows to transform raw data into structured formats for analysis and reporting.
• Integrating and configuring database infrastructure, ensuring performance, scalability, and data security.
• Automating data workflows and infrastructure setup using tools like Apache Airflow, Terraform, or similar.
• Collaborating with data scientists, analysts, and other stakeholders to ensure efficient data accessibility and usability.
• Monitoring, troubleshooting, and improving the performance of data pipelines and infrastructure to ensure data quality and flow consistency.
• Working with cloud infrastructure (AWS, GCP, Azure) to manage databases, storage, and compute resources efficiently.
• Implementing best practices for data governance, data security, and disaster recovery in all infrastructure designs.
• Staying current with the latest trends and technologies in data engineering, pipeline automation, and infrastructure as code.

Why Work With Us.

• Opportunity. We are at at the forefront of developing a web-scale crawler and knowledge graph that allows ordinary people to participate in the process, and share in the benefits of AI development.
• Culture. We’re a lean team working together to achieve a very ambitious goal of improving access to public web data and distributing the value of AI to the people. We prioritize low ego and high output.
• Compensation. You’ll receive a competitive salary and equity package.

Position

Interested in RelationalAI, but don't see an open position that you want to apply to? Submit your application here! We are always looking for talented people to join our team would love to consider you for future opportunities.

Here are the specific positions of interest for individual contribution and leadership in the SaaS industry:

-Software Engineering in the following domains: Engine, Database Systems, Graph of Databases Systems, Query Optimization, Replication, Storage Layer Eng, Control Plane, Infrastructure, Security, and Product.

-Research Collaborator, Graph Database Experts/Analysts, Data/Computer Scientists 

-Technical Product Management

-Technical Program Management

-Technical Project Management

-Technical Account Executive

Experience with Snowflake and software products that connect with Snowflake is a big plus.