Bevicareers

Senior Salesforce Administrator – Revenue, CX & AI Operations

Boston · Senior · Full-time

Sponsorship not specified$122k-$153kDetected 78 days ago

Data StructuresSQLCI/CDData VisualizationLLMsAgentic AIHubSpotSalesforceCRMForecastingZendeskCollaborationProblem SolvingNetSuite

About the role

In addition to driving hypergrowth with our current product line, Bevi is heavily investing in new product development.
All Bevi employees receive equity in the form of stock options.
A note on AI in our hiring process: We use AI to help synthesize interview notes and surface themes from feedback, keeping our process consistent as we grow.

Translate ambiguous business challenges into clear requirements, user stories, and scalable system designs
Lead working sessions, process discovery workshops, and solution design reviews with cross-functional stakeholders
Partner with EA Business Analysts on solution delivery - BA owns stakeholder discovery, process design, and requirements intake
this role owns system architecture, configuration, and build.
AI-First Solution Design
Architect and deploy AI-powered workflows and agents across the revenue tech stack - from lead qualification and forecasting assistance to automated insights and CRM data enrichment
own CI/CD pipeline standards and deployment practices (Gearset) to ensure reliable, auditable releases across all Salesforce environments
Build, test, and iterate on AI-augmented processes with a feedback loop tied to measurable business outcomes
Design, build, and maintain Salesforce solutions
Manage and optimize integrations across the full tech stack - including Salesforce, Zendesk, NetSuite, Oracle Field Service, and other platforms

Demonstrated experience with multi-platform CRM and operations ecosystems -
Strong analytical thinking and the ability to hold both the detail and the big picture simultaneously
Ability to navigate and influence a diverse set of stakeholders in a fast-moving startup environment

Proven track record of working with business stakeholders to define problems and ship solutions - not just respond to requests
Experience implementing AI tools, automation workflows, or intelligent agents in a business operations context
Demonstrated experience with multi-platform CRM and operations ecosystems - Salesforce plus at least one of: NetSuite, HubSpot, Zendesk, or similar enterprise platforms

$121,805 - $153,405 USD
401(k) with company match
Monthly stipends for cell phone use and commuting costs
Onsite snacks, weekly catered lunch, and (of course) unlimited Bevi... plus composting and terra-cycling, too
Happy hours, team-building events, bagel breakfasts, Values awards - and more.
A note on AI in our hiring process: We use AI to help synthesize interview notes and surface themes from feedback, keeping our process consistent as we grow.

Comprehensive medical, dental and vision insurance plans with BlueCross BlueShield, 95% paid by employer
Flexible PTO plus 12 company holidays, and additional paid days for sick leave, etc
Generous fully paid parental leave for both birth parents and non-birth parents
Fully employer paid disability and life insurances
Wellness and fitness reimbursements
We'll also ask how you're learning and experimenting with AI in your work.

Bevi is on a mission to transform how beverages are delivered and consumed.
Our connected beverage platform eliminates the need for single-use bottles and cans, making it easy, fun, and sustainable to stay hydrated.
We've raised over $160M in venture capital, serve thousands of customers across the US, Canada, UK and Ireland, and we've been rapidly growing year over year, saving over 1 billion bottles from waste.
We are seeking a Senior Salesforce Administrator to join our Enterprise Applications team.
We're passionate about supporting career growth and would love to be part of your professional journey.
Whether you're a seasoned expert or an emerging talent, we're looking for people who are ready to build what's next.

This listing is sourced directly from Bevicareers's careers page and normalized into a canonical job model.