Job Summary:

We are seeking a highly skilled Director of Data & Analytics to shape our company's data-driven decision-making. In this influential role, you will lead the build-out of our data product suite, manage robust data pipelines, and create scalable data models to drive actionable insights across the organization. The ideal candidate will have proven experience building and managing teams who transform raw data into strategic assets that empower commercial, product, and wider business leadership. 

About You: 

You are a results-driven Director of Data & Analytics with demonstrated success in building and scaling data-centric organizations. Your experience includes architecting robust data pipelines, driving actionable insights, and mentoring exceptional teams. You excel in aligning data initiatives with overarching business goals, ensuring that data translates into tangible impact.

Key Outcomes:

1. Solidify data model for our three major product lines, Roadside, Accident Management, and Repair Advantage.
2. Deliver major enhancements to our Executive Reporting, Product Line Performance, and Ecosystem Fraud Identification data products.
3. Optimize team structure and processes for performance and output.
4. Develop and drive our comprehensive data strategy, aligning it with overarching business objectives.

Responsibilities:

• Team Leadership: Manage and mentor a high-performing team of data analysts, data scientists, and data engineers. Foster a culture of collaboration and continuous development.
• Data Pipeline and Architecture: Manage and optimize an end-to-end data pipeline, ensuring data integrity, quality, and accessibility for the entire organization.
• Data Modeling: Construct and maintain flexible data models to support diverse business needs, encompassing both structured and unstructured data.
• Commercial & Product Analytics: Lead the development of analytics and data science solutions to enhance decision-making in areas such as sales, marketing, customer behavior, ecosystem fraud, and product optimization.
• Strategic Insights: Partner with senior leadership to translate complex data into clear narratives, driving business strategy, and identifying growth opportunities.
• Data Governance: Collaborate with stakeholders to establish and implement robust data governance policies and procedures for security, privacy, and compliance.
• Cross-Functional Collaboration: Work closely with product, engineering, sales, marketing, and other teams to identify and prioritize data-driven initiatives.

Qualifications:

• Technical Expertise: Deep knowledge of SQL, Python (or similar data science languages), and data modeling techniques. Experience with cloud-based data platforms is a plus.
• Leadership: Proven experience building and leading data teams, attracting and developing top talent.
• Business Acumen: Ability to align data strategy with business objectives, clearly articulating the value of data-driven solutions.
• Communication: Exceptional communication and presentation skills, capable of tailoring complex information for diverse audiences.
• Bachelor's Degree: In Computer Science, Statistics, Mathematics, or a related field. Master's degree preferred.
• Experience: 8+ years of experience in data analytics and data science, including 3+ years in a managerial role demonstrating a hands-on approach.

Hiring In:

• United States: AZ, FL, IL, KY, MA, MI, NC, NM, TN, GA, NH and VA

About Invoca:

Invoca is the industry leader and innovator in AI and machine learning-powered Conversation Intelligence. With over 300 employees, 2,000+ customers, and $100M in revenue, there are tremendous opportunities to continue growing the business. We are building a world-class SaaS company and have raised over $184M from leading venture capitalists including Upfront Ventures, Accel, Silver Lake Waterman, H.I.G. Growth Partners, and Salesforce Ventures.

About the Engineering Team:

You’ll join a team where everyone, including you, is striving to constantly improve their knowledge of software development tools, practices, and processes. We are an incredibly supportive team. We swarm when problems arise and give excellent feedback to help each other grow. Working on our close-knit, multi-functional teams is a chance to share and grow your knowledge of different domains from databases to front ends to telephony and everything in between.

We are passionate about many things: continuous improvement, working at a brisk but sustainable pace, writing resilient code, maintaining production reliability, paying down technical debt, hiring fantastic teammates; and we love to share these passions with each other.

Learn more about the Invoca development team on our blog and check out our open source projects.

You Will:

Invoca offers a unique opportunity to make massive contributions to machine learning and data science as it applies to conversation intelligence, marketing, sales and user experience optimization.

You are excited about this opportunity because you get to:

• Design and develop highly performant and scalable data storage solutions
• Extend and enhance the architecture of Invoca’s data infrastructure and pipelines
• Deploy and fine-tune machine learning models within an API-driven environment, ensuring scalability, efficiency, and optimal performance.
• Expand and optimize our Extract, Transform, and Load (ETL) processes to include various structured and unstructured data sources within the Invoca Platform.
• Evaluate and implement new technologies as needed and work with technical leadership to drive adoption.
• Collaborate with data scientists, engineering teams, analysts, and other stakeholders to understand data requirements and deliver solutions on behalf of our customers
• Support diversity, equity and inclusion at Invoca

At Invoca, our Senior Data Engineers benefit from mentorship provided by experts spanning our data science, engineering, and architecture teams. Our dedicated data science team is at the forefront of leveraging a blend of cutting-edge technology, including our proprietary and patented solutions, along with tools from leading vendors, to develop an exceptionally scalable data modeling platform.

Our overarching objective is to seamlessly deliver models through our robust API platform, catering to both internal stakeholders and external clients. Your pivotal role will focus on optimizing model accessibility and usability, thereby expediting model integration within our feature engineering teams. Ultimately, this streamlined process ensures swift model adoption, translating to enhanced value for our customers.

You Have:

We are excited about you because you have:

• 3+ years of professional experience in Data Engineering or a related area of data science or software engineering
• Advanced proficiency in Python, including expertise in data processing libraries (e.g.,  spaCy, Pandas), data visualization libraries (e.g., Matplotlib, Plotly), and familiarity with machine learning frameworks
• Advanced proficiency using python API frameworks (e.g., FastAPI, Ray/AnyScale, AWS Sagemaker) to build, host. and optimize machine learning model inference APIs.
• Intermediate proficiency working with the Databricks platform (e.g. Unity Catalog, Job/Compute, Deltalake) (or similar platform) for data engineering and analytics tasks
• Intermediate proficiency working with the Machine Learning and Large Language Model (LLM) tools from AWS (e.g., Sagemaker, Bedrock) or other cloud vendors such Azure, or Google Cloud Platform
• Intermediate proficiency with big data technologies and frameworks  (e.g., Spark, Hadoop)
• Intermediate proficiency with SQL and relational databases (e.g., MySQL, PostgreSQL)
• Basic proficiency in several areas apart from pure coding, such as monitoring, performance optimization, integration testing, security and more
• Basic proficiency with Kafka (or similar stream-processing software) is a plus
• Bachelor's Degree or equivalent experience preferred

Salary, Benefits & Perks:

Teammates begin receiving benefits on the first day of the month following or coinciding with one month of employment. Offerings include:

• Paid Time Off -Invoca encourages a work-life balance for our employees. We have an outstanding PTO policy starting at 20 days off for all full-time employees. We also offer 16 paid holidays, 10 days of Compassionate Leave, days of volunteer time, and more.
• Healthcare -Invoca offers a healthcare program that includes medical, dental, and vision coverage. There are multiple plan options to choose from. You can make the best choice for yourself, your partner, and your family.
• Retirement - Invoca offers a 401(k) plan through Fidelity with a company match of up to 4%.
• Stock options - All employees are invited to ownership in Invoca through stock options.
• Employee Assistance Program -Invoca offers well-being support on issues ranging from personal matters to everyday-life topics through the WorkLifeMatters program.
• Paid Family Leave -Invoca offers up to 6 weeks of 100% paid leave for baby bonding, adoption, and caring for family members.
• Paid Medical Leave - Invoca offers up to 12 weeks of 100% paid leave for childbirth and medical needs.
• Sabbatical -We thank our long-term team members with an additional week of PTO and a bonus after 7 years of service.
• Wellness Subsidy - Invoca provides a wellness subsidy applicable to a gym membership, fitness classes, and more.
• Position Base Range - $139,500 to $175,000Salary Range / plus bonus potential
• Please note, per Invoca's COVID-19 policy, depending on your vaccine verification status, you may be required to work only from home / remotely. At this time, travel and in-person meetings will require verification. This policy is regularly reviewed and subject to change at any time

Recently, we’ve noticed a rise in phishing attempts targeting individuals who are applying to our job postings. These fraudulent emails, posing as official communications from Invoca aim to deceive individuals into sharing sensitive information. These attacks have attempted to use our name and logo, and have tried to impersonate individuals from our HR team by claiming to represent Invoca. 

We will never ask you to send financial information or other sensitive information via email. 

DEI Statement

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.

#LI-Remote

About the role:

The Sales Planning and Strategy team is looking for an intellectually curious, motivated, and high-impact individual to join our team. This role will drive analysis to deeply understand our Sales team performance, build a multi-year plan to achieve our ambitious growth targets and drive strategic projects in partnership with our Sales leaders. We are a highly collaborative team that partners with our leaders and cross-functional partners to realize growing revenue targets, scale the organization sustainably, and address Go-to-Market challenges and opportunities. We seek to have an outsized impact on Samsara and we achieve that ambition through high-quality output, teaming across functions and hierarchies, and commitment to ongoing skill development.

You should apply if: 

• You want to impact the industries that run our world:Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• You have an innate curiosity about how businesses work:One day you’ll meet with someone in waste management and the next you may be learning about the inner workings of a food distribution center. Our top sales team members seek to learn the ins and outs of the businesses they support to make a larger impact. 
• You build genuine relationships with your customers: The industries we serve have relied on pen-and-paper solutions for years and haven’t been met with the type of technology we offer. Our customer's value earned trust and human relationships built over time.
• You want to be with the best: Samsara’s high-performance culture means you’ll be surrounded by the best and challenged to go farther than you have before. 
• You are a team player: At Samsara, sales is a team sport. We help each other out by sharing best practices and focusing on winning as a team.

Click hereto learn more about Samsara's cultural philosophy. 

In this role, you will: 

• Support multi-year growth efforts by driving research to inform how we build our sales capacity. 
• Generate insights based on historical trends in order to inform investment of GTM resources.
• Lead strategic projects in support of Samsara’s long-term growth; work cross-functionally to structure problems, develop hypotheses, conduct analyses to turn data into meaningful insights, and drive solutions and actionable recommendations and results through a rigorous, data-driven process
• Collaborate with Sales leaders, Business Operations, Finance, Recruiting, and People Ops to build trust relationships and create “connective tissue” between cross-functional teams.
• Guide Sales leaders through planning and strategic project outputs, incorporating their feedback, and guiding execution.
• Prepare executive-level presentations, analyses, and talking points as part of planning and strategic project work.
• Identify risks to growth goals and develop action plans to mitigate those risks.
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

Minimum requirements for the role:

• 6-8 years of experience in Consulting, Finance, Business Operations, Sales Strategy & Operations or other analytical role.
• Kind and collaborative orientation who is energized by working with a lot of different types of people from many teams.
• Highly organized with exceptional attention to detail and the ability to manage multiple projects with tight deadlines.
• Strong analytical and logical reasoning skills; a deep sense of curiosity.
• Experience in building trusting relationships and influencing others (incl. executive audiences).
• Self-starter who thrives and can multitask in fast-paced and often ambiguous environments; enthusiastic about improving efficiencies. Bias for action.
• Strong presentation skills, able to convey complex ideas in a clear, concise manner both verbally and in writing, comfortable in business and technical discussions.
• Ability to synthesize a broad set of information into a cohesive narrative.
• Expertise with analytical tools (e.g., Tableau, Excel, Google Sheets, BigQuery) and/or willingness to expand skill set to tackle new problems.

An ideal candidate also has:

• Experience working with big data tools (e.g., DataBricks, BigQuery, SQL, etc.)
• Experience with GTM strategy

About the Role 

As a Staff Data Scientist on our Data Science team, you will be responsible for working on a wide range of data-related projects, from metric design and reporting, to analyses that drive business decisions across our company. You will have the opportunity to partner with stakeholders across our Engineering, Product, and Design teams, using data from across the entire Lattice spectrum to produce insights and recommendations on crucial business functions like product success metrics and the product roadmap.

What You Will Do

• Partner with the product team to build on their success metrics and inform their roadmapping decisions
• Collaborate with stakeholders across the business to create repeatable, standardized analytics that drive strategy and decision making processes
• Increase stakeholder use of data and data fluency through partnership and upskilling 
• Model first- and third-party data into analytics-ready tables that can be used across the business
• Advise the engineering, product, and design teams on event tracking, ensuring standardization across the Lattice platform and suite of products
• Conduct end-to-end projects to uncover insights and drive product engagement
• Own and collaborate on your own quarterly roadmap 
• Research and make recommendations on best practices for our data tech stack
• Partner with organizational leaders to impact Lattice’s strategy in the Talent space

What You Bring to the Table

• 5+ years of experience working in Data Science or Analytics, partnered with Product teams
• Experience at a B2B SaaS company
• Ability to distill ambiguous, open-ended questions into workable problems 
• A track record of collaboration with senior stakeholders 
• Deep expertise in facets of data science including but not limited to metric design, artificial intelligence, experimentation, and data analysis 
• History of successfully completing projects on time and within scope 
• Proven results designing metrics for cross-organization impact
• Self-starter who is excited by learning new technologies, getting your hands dirty, and creating scalable solutions 
• Deep knowledge of SQL
• Knowledge of Python
• Experience with a BI tool such as Looker
• Knowledge of dbt
• Experience in the performance management industry

The estimated annual cash salary for this role is $144,500 - $225,500. This position is also eligible for incentive stock options, subject to the terms of Lattice’s applicable plans.

Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: Medical insurance; Dental insurance; Vision insurance; Life, AD&D, and Disability Insurance; Emergency Weather Support; Wellness Apps; Paid Parental Leave, Paid Time off inclusive of holidays and sick time; Commuter & Parking Accounts; Lunches in the Office; Workplace Amenities Stipend, Internet and Phone Stipend; One time WFH Office Set-Up Stipend; 401(k) retirement plan; Financial Planning; Learning & Development Budget; Sabbatical Program; and Invest in Your People Fund

*Note on Pay Transparency:

Lattice provides an estimate of the compensation for roles that may be hired as required by state regulations. Compensation may vary based on (a) location, as Lattice factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience.

Additionally, Lattice leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Lattice reserves the right to modify this information at any time, subject to applicable law.

#LI-remote

Job Location: Austin, TX

About the Department

Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a massively successful business, we are able to leverage them to deliver entirely new tools and products to our customers. Cloudflare’s edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization.

What you'll do

We announced Cloudflare Workers in 2017  — since then it’s played a key role in Cloudflare’s strategy for entering the developer platform market. Until the launch of Workers, as Cloudflare was ramping up its capabilities in the performance and security spaces, it became clear that developers needed more ways to control the edge than rules engines could support. Workers has allowed Cloudflare to add programmability to the edge such that developers could have access to writing logic on the edge in their preferred way — through code. Over the past few years, Workers has grown from a simple functions-as-a-service option into a fully blown full-stack platform. With any application, however, in addition to serverless compute, you need to be able to manage state. In 2022, Cloudflare released D1 — built on Durable Objects, D1 is Cloudflare’s first serverless database. 
In this role, you’ll be helping define and build the future of D1, making sure we’re focused on the highest priority projects to enable developers to build full stack applications. 

Examples of desirable skills, knowledge and experience

• Experience with any of the following programming languages: JavaScript, C++, Web Assembly. Rust or Go
• Experience with SQL databases (e.g. SQLite, Postgres)
• Experience using best practices for operating software in a software-as-a-service environment
• Experience planning and overseeing execution to meet commitments and deliver with predictability
• Experience implementing tools, process, internal instrumentation, methodologies and resolving blockages
• Comfortable hiring and leading a workstream aligned team with both fullstack and distributed systems skillsets

Bonus Points

• Experience building software for developers either open source or business-to-business
• Experience building distributed systems or databases

Machine Learning Engineer

About Shipwell

At Shipwell, we empower supply chain efficiency and service effectiveness at scale. The Shipwell platform includes capabilities previously out of most shippers' technical reach and affordability today. Our solution combines everything shippers need, from transportation management and visibility to procurement, in a comprehensive, easy-to-use platform. It will adapt and scale as market and business demand change, allowing shippers to operate, manage, and optimize the shipping process seamlessly. Industry experts have recognized Shipwell's traction in the market and have differentiated Shipwell as a leader in the logistics industry. Awards include Gartner Magic Quadrant for TMS 2023, 2022, 2021, Food Logistics’ 2022 Top Software & Technology Providers, and FreightWaves’ FreightTech 2022 and 2021 Awards for Innovation and Disruption in Freight Industry. Shipwell was also named the fourth fastest-growing company in North America on the 2021, 2022, and 2023 Deloitte Technology Fast 500 and Forbes 2020 Next Billion-Dollar Startup.

Our Culture

Shipwell is a fast-paced, high-energy start-up that strives to build the future of shipping every day. Diversity of thought and cross-department collaboration is very important to us. We deliver open, honest, careful communication and work as hard as we play. We create & deliver solutions that are revolutionizing the industry, which brings excitement and purpose to our work. If you are looking for a place that will help you tap into your best work-self and give you hands-on experience building something big, then we invite you to come and build the future of shipping with us! 

About the Role

As a Machine Learning Engineer, you will contribute to the design, development, and maintenance of data pipelines, optimizing how we use AWS and other cloud infrastructure, and enabling data access for our various research projects. Your responsibilities will encompass extracting, transforming, and loading (ETL) data from various sources, developing and executing data integrity standards, and optimizing performance. You will collaborate closely with cross-functional teams and contribute to the development of scalable and efficient data architectures. This role provides a dynamic opportunity to leverage your expertise in data engineering and learn more about the data infrastructure at Shipwell. This will enable you to drive insights and support data-driven decision-making within our organization.

What we’re looking for:

• Experience designing and implementing ML models and maintaining relevant data in a cloud environment
• Experience working with DevOps to enable your team access to the tools they need
• Contributing to every part of the machine learning product lifecycle
• Proven track record of implementing data engineering best practices in all aspects of the data pipeline, i.e. ETL, data integrity, and monitoring
• Demonstrable proficiency with Python, dbt, SQL, and modern ML tooling
• Experience working with large-scale data model refactoring for better performance, interpretability, and maintainability
• Experience with version control tools (GitHub, GitLab) and Agile methodologies.
• Bachelor's Degree in a quantitative field such as Physics, Engineering, Computer Science, or demonstrated equivalent quantitative experience.
• Excellent communication skills to effectively collaborate with different teams within the engineering org

What you’ll do when you get here:

• Collaborate closely with our engineering, analytics, and data science teams as we take our machine learning projects and infrastructure to the next level
• Right at the start you will be contributing to existing ML projects, creating and maintaining the data pipelines they need, and communicate the results to the organization
• You will own all of the data and ML processes you create
• You will become the expert on our machine learning and data infrastructure and make critical decisions in our path forward
• You will have the opportunity to grow your skill set and take part in projects at the forefront of GenAI, ML, and data science in the logistics industry

Why Shipwell:

• Enjoy working remotely with the added perk of a home office reimbursement
• Unlimited Paid Time Off (PTO)
• A robust healthcare package that includes medical, dental & vision benefits, short-term and long-term disability, AD&S coverage, and flexible/health savings accounts
• 40K program where Shipwell matches up to 4%
• A yearly learning and development budget
• Subsidized internet, cell phone, fitness, and educational reimbursements
• Virtual team-building events where fun and connection take center stage 
• Join a vibrant, inclusive workplace shaped by friendly, talented individuals
• Receive a technology package including a MacBook Pro
• Employee Recognition Program to celebrate and incentivize hard work and success!

Please note that Shipwell is not offering sponsorship for work visas for this position. 

The Salary Range for this role is between $100,000 - $130,000/year. Compensation is based on a number of factors including market location, job-related knowledge, skills, and experience. 

Shipwell is an equal opportunity employer and welcomes all qualified applicants regardless of race, ethnicity, religion, gender, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristic protected by law. We celebrate diversity and believe that experience comes in different forms. Diversity in our team makes for better problem-solving, more creative thinking, and ultimately a better product and company culture.

Even more important than your resume is a clear demonstration of impact, dedication, and the ability to thrive in a fast-paced and collaborative environment. Shipwell strives to have an inclusive work environment; so if you are hard-working & good at what you do then please come as you are.  We want you to contribute, grow, & learn at Shipwell.

We are looking forward to adding new perspectives to our team!

For more information about Shipwell visit shipwell.com, or connect with us on Twitter @shipwell, LinkedIn, and Facebook.com/Shipwellinc

Meet The Team:

The Senior Business Intelligence Analyst must be able to translate business value goals into user-centered dashboards and visualizations and underlying data models that support decision-making while using best practices for user interaction and interface design. They must be comfortable starting with ill-defined datasets and problems and helping stakeholders to unpack what will be most helpful and achievable given the data available. They use statistical methods to test hypotheses and provide predictive modeling to uncover insights and assess data reliability for strategic planning and reporting. They work with data sets of various kinds and sizes in databases, spreadsheets, and data lakes, and must have strong SQL skills and be able to work in one or multiple BI frameworks depending on need (Power BI, Tableau, Looker, etc.). They must be comfortable working in an agile environment, have experience working with UIs that make data accessible and consumable, enjoy the challenge of highly complex technical contexts, and above all, is passionate about data and analytics.

What You’ll Do:

• Develop and implement novel solutions to monitor and improve business performance and efficiency starting from gathering requirements from stakeholders to partnering with data producing teams and other analysts to build and operationalize functional systems.
• Define, instrument, and maintain new and existing business KPIs from scratch, leveraging SQL queries and Python scripting.
• Build automation to ensure we can understand and act on business performance with accurate, scalable, and low latency solutions that require minimal maintenance.
• Create actionable, user-friendly, and intuitive dashboards using Tableau or other tools - to surface business performance and support scalable data-driven decision making.
• Ensure transparency of data quality by clearly documenting data sources and data validation processes and regularly auditing the results.
• Work with IT staff to design and implement secure and sustainable paths for data access from systems to support timely dashboards.
• Use out-of-the-box thinking to develop and implement solutions to unique challenges.
• Create documentation and provide training to inform stakeholders and cultivate data literacy within the organization.
• Answer complex business questions via ad-hoc SQL queries or Python notebooks to enable business owners to make critical decisions.

A successful candidate will be:

• Data-driven and highly analytical - you're able to translate data and insights into a meaningful story to drive strategy, action, and decision-making at an executive level.
• Self-starter- you boldly pursue your work and love the responsibility of being personally empowered, constantly prioritizing your work amongst several projects.
• Curious- you're innovative, creative, and constantly looking for opportunities to tweak and optimize.
• Team Player- you love going heads down in SQL or Pandas, but also partnering with your teammates and stakeholders.

What You’ll Need to Succeed:

• Degree in Data Analysis, Statistics, Information Technology, Computer Science or related field.
• BS+ 10+  years of experience OR MS+ 7+ years of experience OR PHD 5+ years of experience
• 5+ years of experience in working with databases, business analytics, and large-scale data systems.
• 5+ years of experience with database design, data modeling, or object modeling.
• 5+ years of experience in Business Intelligence/data analytics tools (Microsoft Power BI, Dashboards, SQL, Tableau, etc.).
• Analytical thinking with a data-driven approach to problem solving and the ability to extract value from data and connect insights to business outcomes.
• Ability to work under pressure and multi-task in a fast-paced/rapidly changing environment, comfortable with ambiguity.
• Outstanding attention to detail, strong analytical and communication skills, comfortable working independently, strong listener, innovator, and the capacity to work under pressure to meet tight deadlines.
• A team player with a professional “get it done” attitude.
• Proven history of living the values important to Torc:  Integrity, Accountability, Respect, Innovation, Success

Bonus Points:

• Ability to communicate complicated concepts and recommended courses of action to engage internal stakeholders.
• Technology background with proven ability to quickly understand complex technology subjects.
• Highly customer-focused, business-oriented, and objective-driven.
• Ability to successfully manage multiple priorities and projects.

Perks of Being a Full-time Torc’r

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:  

• A competitive compensation package that includes a bonus component and stock options
• 100% paid medical, dental, and vision premiums for full-time employees  
• 401K plan with a 6% employer match
• Flexibility in schedule and generous paid vacation (available immediately after start date)
• Company-wide holiday office closures
• AD+D and Life Insurance