Arrive Logistics

Account Executive

• New Business Development: Identify and aggressively pursue new B2B opportunities within target verticals (e.g., CPG, Food & Beverage, Manufacturing, Retail).
• Full Sales Cycle Management: Lead the entire consultative process from initial prospecting and cold calling to on-site facility tours, proposal development, and final contract negotiation.
• Solution Design: Collaborate with internal Operations and Pricing teams to engineer scalable, profitable logistics solutions that solve specific customer pain points.
• Strategic Networking: Build and maintain a robust pipeline within our CRM, representing the brand at industry trade shows and networking events.
• Contract Negotiation: Navigate complex, multi-year contract cycles, ensuring terms align with both customer needs and company profitability.
• Market Intelligence: Stay ahead of industry trends, competitor movements, and regulatory changes (Incoterms, customs, etc.) to act as a trusted advisor to prospects.
• Issue Resolution: Excels in high-stakes conflict resolution, proactively identifying and neutralizing service gaps before they impact the client’s bottom line.
• Travel: Requires frequent travel for on-site client meetings, facility tours, events, etc.

Senior Outside Sales Representative

Solutions Engineer

• Hands-on design, configuration, and deployment of Workday Integrations including Reports-as-a-Service (RaaS) with nested calculated fields, Connectors, and Outbound EIBs
• Supporting our internal business stakeholders through the Jira support intake channel, identifying and resolving issues, and providing premier support experience.
• Collaborate with IT and other Back Office functions on cross-functional projects.
• Research integration failures, perform root cause analyses, develop plans to mitigate and avoid future system issues.
• Design and Develop new reports requested by stakeholders
• Troubleshoot and fix production issues and help prioritize against existing backlog based on severity and impact
• Monitor scheduled integrations and develop automated management processes
• Be able to provide backup support in the absence of an HRIS Analyst for minor issues

Associate Workday Integrations Engineer

Data Analyst

• Establish success metrics and company-wide reports to track the impact of technology investments.
• Support the prioritization of technology-led investment opportunities by documenting and analyzing the return on investment for individual projects.
• Develop reports, dashboards, and interactive visualizations using different components of Microsoft Power BI.
• Create ad-hoc analysis in support of department leadership using Snowflake SQL queries
• Learn and live key department goals and objectives to ensure technology and reporting prioritization aligns with department objectives. Ensure Product teams understand the department vision and how products/reporting align.
• Perform regular data audits and validation to ensure the accuracy and reliability of all department-facing dashboards.
• Utilize historical data to identify trends and provide predictive insights that inform future technology investment strategies.
• Collaborate with Stakeholders to understand priorities, business needs, and functions.
• Collaborate with the Analytics Engineering team to determine and address data and reporting needs for various company projects.
• Handle sensitive information in a confidential manner.

Business Data Analyst

Data Scientist

• Own the design, development, and iteration of production machine-learning systems that drive operational and business outcomes.
• Lead modeling, feature engineering, and dataset development for predictive and decisioning use cases.
• Design and maintain evaluation frameworks that reflect real-world behavior and business impact.
• Build and evolve LLM- and NLP-based pipelines to transform unstructured data into reliable operational datasets.
• Define and monitor quality, coverage, and reliability of ML and LLM/NLP systems at scale.
• Perform deep analysis of model and system performance to identify bias, data gaps, and systematic failure modes.
• Partner closely with Product and Engineering to translate business needs into data and modeling solutions, and to support productionization and ongoing iteration.
• Contribute to and define monitoring for model performance, data quality, and downstream business impact.
• Act as a senior technical owner and reviewer for data science work across the team.

Senior Data Scientist

Recruitment

• Learn our industry from the ground up through formal training, shadowing, and on-the-job education.
• Provide full-cycle recruitment support for open positions across our Business Operations and other teams, as assigned.
• Master the details of our open positions, including role responsibilities and candidate qualifications. You’ll know your roles and what makes them exciting!
• Build relationships with our hiring managers. Over time, you’ll have a full understanding of their candidate preferences, non-negotiables and team dynamic.
• Find talent! Using LinkedIn, Indeed,various job boards and our Applicant Tracking System Lever, you will screen applicants and move them through the funnel.
• Use all tools to get in touch with the right candidates every time.
• Bring a passion and drive for connecting with people and matching them to the right opportunities.
• Coordinate interviews with our hiring team and walk your candidate through the process. They are in good hands with this recruiting team!
• Cultivate the candidate experience. You will collaborate with the recruiting team & hiring managers to ensure your candidate meets the right people and leaves with the best possible impression.

Junior Corporate Recruiter

Machine Learning Engineer

• Design, build, and maintain scalable ML systems and infrastructure using Python, Postgres, and Elasticsearch.
• Partner closely with other Machine Learning Engineers, Product Managers, Data Scientists, Data Engineers, and Product Engineers to ensure the successful delivery of strategic and roadmap initiatives
• Own systems throughout the software development lifecycle, from design to development, deployment and monitoring.
• Maintain and improve performance of existing data systems and processes while balancing maintainability, observability and readability.
• Participate in an on-call rotation where you will support incidents and questions about service behavior from product managers.
• Demonstrate a deep sense of ownership by developing a thorough understanding of a domain. At the same time, you must be able to explain the behavior of and contribute to code bases that may be outside your domain.
• Proactively propose solutions to gaps in process, technology, software design and architecture
• Provide rigorous and detailed code reviews that uphold team standards, testing and software design best practices
• Foster a culture of constant improvement and growth, engineering excellence, humility, positivity and curiosity. Take a lead role in making our two days in the office productive and engaging, fostering face-to-face mentorship and collaborative whiteboarding sessions.

• Design, build, and maintain scalable ML systems and infrastructure using Python, Postgres, and Elasticsearch.
• Lead sprints, conduct rigorous code reviews, and set the "gold standard" for ML engineering practices across the organization.
• Actively mentor junior and mid-level engineers, fostering a culture of technical excellence and professional growth.
• Partner closely with other Machine Learning Engineers, Product Managers, Data Scientists, Data Engineers, and Product Engineers to ensure the successful delivery of strategic and roadmap initiatives
• Independently and with relatively little oversight, own systems throughout the software development lifecycle, from design to development, deployment and monitoring.
• Maintain and improve performance of existing data systems and processes while balancing maintainability, observability and readability.
• Participate in an on-call rotation where you will support incidents and questions about service behavior from product managers.
• Demonstrate a deep sense of ownership by developing a thorough understanding of a domain. At the same time, you must be able to explain the behavior of and contribute to code bases that may be outside your domain.
• Proactively propose solutions to gaps or risks in process, technology, software design and architecture.
• Provide rigorous and detailed code reviews that uphold team standards, testing and software design best practices.
• Foster a culture of constant improvement and growth, engineering excellence, humility, positivity and curiosity. Take a lead role in making our two days in the office productive and engaging, fostering face-to-face mentorship and collaborative whiteboarding sessions.
• In partnership with other leaders, establish best practices across the organization and drive the organization’s standards within the team, leading by example.

Senior Machine Learning Engineer

Full-stack Engineer

• Closely works with their team to develop solutions that drive Arrive to be a top freight brokerage.
• Owns what they build; develop it, test it, deploy it, and monitor it.
• Responsible for executing and collaborating on medium to large-scale technical solutions with growing independence.
• Builds technical expertise and voice in the organization, increasing their team’s effectiveness by understanding the why behind projects.
• Collaborates across teams to build solutions that are bigger than just their team’s purview.
• Builds relationships across departments to identify issues proactively and solve as a team.
• Commits to the automation and testing that allows the team to iterate quickly and code without fear.
• Extends their talents to the rest of the organization by participating in guild talks, standards discussions, and other initiatives that drive us forward.
• Expands their industry expertise by deeply understanding our product, our users, and our mission.
• Practices quality documentation and ensures codebases are left in a comprehensive manner for other team members to use.
• Ensures a high quality product by completing test coverage and making it a core principle.

Software Engineer

Sales

• This marketing leadership role drives revenue growth by leading Digital Demand and Sales Enablement teams in close partnership with Revenue Generation and Technology leadership, and Executive Sponsors.
• The role builds and scales digital programs, including email automation and paid channels, to accelerate pipeline velocity and sales productivity, while supporting product marketing initiatives that drive awareness and adoption of customer- and carrier-facing platforms.
• It leads go-to-market efforts for new modes and services, ensures alignment to sales priorities and business growth goals, and owns optimization of the marketing technology stack using automation and data to deliver scalable, measurable impact.
• The role is also accountable for Sales Enablement performance through effective collateral and consistent sales adoption.

Senior Sales Enablement, Demand Manager

• Ownership of end-to-end integration management and process workflows.
• Responsible for high profile implementations, major projects, and special assignments.
• Preparation of thorough spec analysis documentation for integration mapping efforts.
• Drive accuracy and velocity of trading partner implementations throughout analysis, development, testing, deployment, and stability.
• Oversee project testing and implementation; provide support when necessary.
• Act as integration Subject Matter Expert for platform feature expansions, JSON enhancements, Data Transformation, Data Communications, etc.
• Be a thought leader; driving integration development towards industry best practice with focus on standardizing business operations.
• Communicate cross-functionally and develop long-term, sustainable technical solutions to satisfy requirements.
• Mentorship and training of Integration Specialist I and Integration Specialist II.
• Perform routine deployments in collaboration with your peers by leveraging Deployment Management best practices, Change Management standards, and reviewing all projects for production readiness.
• Act as an escalation point for post-production support internally and externally to ensure implementations are successful.
• Closely collaborate with your team of expert peers to prioritize, develop, manage, and troubleshoot integration capabilities.
• Work closely with business partners, internal stakeholders, and product development to ensure expectations are met.
• Ensure that project goals are met within given time and budget constraints.

Integration Engineer

• Manage the entire recruitment process, from initial contact to offer acceptance, ensuring a seamless and positive experience for candidates.
• Become an expert on Arrive, our story, and the competitive advantages we offer as an employer for experienced logistics talent.
• Build and manage a specialized pipeline for all roles that require previous experience in logistics.
• Find talent! Proactively identify candidates with the ideal candidate profile by using creativity and a variety of sourcing tools such as our ATS System (Lever), LinkedIn Recruiter, employee referrals and more.
• Cultivate the candidate experience! Build relationships with candidates through various resources, educate them on the opportunity, and champion them through the interview process.
• Utilize strong qualifying skills over the phone to ensure candidates are a good match for the position and Arrive culture.
• Consistently meet or exceed weekly metrics including call counts, conversion rate targets, and hiring goals.
• Partner with department leaders across the business to understand their hiring needs, the goals of their department, and the experience level they are looking for.
• Establish and maintain a communication cadence with the Employee Success team to evaluate hiring quality and make adjustments to recruiting efforts as needed.
• Establish and maintain a communication cadence with the Compensation and Benefits teams to ensure alignment on all compensation & benefits items as they relate to your requisitions.
• Build strong relationships with hiring managers, review their feedback and make recommendations as needed.
• Develop a strong knowledge of the employee agreements in our industry and partner with our Legal team to navigate agreement complexities as needed.
• Report directly to the Specialized Talent Acquisition Manager and partner on the development of all mode growth recruitment strategies.

Senior Outside Sales Representative

Associate Workday Integrations Engineer

Business Data Analyst

Business Data Analyst

Senior Data Scientist

Junior Corporate Recruiter

Junior Corporate Recruiter

Machine Learning Engineer

Senior Machine Learning Engineer

Software Engineer

Senior Sales Enablement, Demand Manager

Integration Engineer

Integration Engineer

Integration Engineer

Senior Corporate Sales Recruiter