Role Description Ottimate's Solutions Engineering team works directly with customers, before and after the sale, to solve the technical problems that stand between a prospect and a working integration. When a customer's system has no standard connection path, the team builds the solution, often live and AI-assisted. As an example, a recent customer's system could only export an HTML file with no payment path, and the team turned it into a working integration in a day. You will spend 8 weeks building the analytics and operations layer that supports this team: - Measuring the revenue impact of integration work - Creating enablement materials - Assisting the director with organizing the operational processes that connect Solutions Engineering to sales and product This is a build-the-machine internship, not a make-the-decks internship. What you'll do - Revenue analytics: Build and own a live dataset of blocked and declined integrations, classified by what it would take to unlock each one, sourced from Salesforce deal data. Stand up the team's success-metrics baseline (recovered revenue, expansion pipeline, win rate on previously declined integrations, time from customer ask to working prototype) and deliver a recurring readout for leadership. - Enablement: Help draft and roll out the team's customer discovery-question playbook, document a recent customer build as a case study for onboarding, and turn the team's integration-classification framework into a one-page decision guide with worked examples. - GTM operations: Support the connective tissue between Solutions Engineering, sales, and product: keep the classification log current, track team-sourced expansion opportunities from first conversation to pipeline, and maintain the revenue-ranked log of product signals through to roadmap or ship. You'll work with AI tools every day This is an AI-native internship. You will get a paid Claude account and work the way the team works: - Pull and analyze Salesforce deal data with AI-assisted querying instead of waiting on an analyst. - Build metrics readouts, decision guides, and playbook drafts with AI doing the heavy lifting on first drafts and data wrangling, while you own accuracy and judgment. - Sit with a team that prototypes customer solutions live with AI, and learn that workflow firsthand. Qualifications - A current MBA student. - Analytical: comfortable building a metrics baseline from CRM and deal data, and defensible about your numbers. - A strong written communicator: much of this job is turning messy operating reality into one-page artifacts people actually read. - AI-curious: eager to make AI tools part of how you work, not just a topic you studied. No engineering background required. What you'll gain - Daily, hands-on AI tooling experience alongside a team using it for real revenue work, a practical skill set few MBA programs teach. - Direct exposure to live B2B customer engagements across the sales cycle. - Ownership of a metrics system that company leadership reads. - A portfolio of shipped artifacts: a revenue analytics baseline, an enablement playbook, and an operating process that outlives the summer. Benefits - Compensation: $20-$25/hour - Commitment: Part-Time 20 hours/week - Duration: 8 weeks Company Description Ottimate is an AI-powered accounts payable automation platform serving restaurants, hotels, healthcare, and other multi-unit businesses. Our platform turns invoices, approvals, and vendor payments into a single automated workflow.

Role Description Ottimate's Solutions Engineering team works directly with customers, before and after the sale, to solve the technical problems that stand between a prospect and a working integration. When a customer's system has no standard connection path, the team builds the solution, often live and AI-assisted. As an example, a recent customer's system could only export an HTML file with no payment path, and the team turned it into a working integration in a day. You will spend 8 weeks building the analytics and operations layer that supports this team: - Measuring the revenue impact of integration work - Creating enablement materials - Assisting the director with organizing the operational processes that connect Solutions Engineering to sales and product This is a build-the-machine internship, not a make-the-decks internship. What you'll do - Revenue analytics: Build and own a live dataset of blocked and declined integrations, classified by what it would take to unlock each one, sourced from Salesforce deal data. Stand up the team's success-metrics baseline (recovered revenue, expansion pipeline, win rate on previously declined integrations, time from customer ask to working prototype) and deliver a recurring readout for leadership. - Enablement: Help draft and roll out the team's customer discovery-question playbook, document a recent customer build as a case study for onboarding, and turn the team's integration-classification framework into a one-page decision guide with worked examples. - GTM operations: Support the connective tissue between Solutions Engineering, sales, and product: keep the classification log current, track team-sourced expansion opportunities from first conversation to pipeline, and maintain the revenue-ranked log of product signals through to roadmap or ship. You'll work with AI tools every day This is an AI-native internship. You will get a paid Claude account and work the way the team works: - Pull and analyze Salesforce deal data with AI-assisted querying instead of waiting on an analyst. - Build metrics readouts, decision guides, and playbook drafts with AI doing the heavy lifting on first drafts and data wrangling, while you own accuracy and judgment. - Sit with a team that prototypes customer solutions live with AI, and learn that workflow firsthand. Qualifications - A current MBA student. - Analytical: comfortable building a metrics baseline from CRM and deal data, and defensible about your numbers. - A strong written communicator: much of this job is turning messy operating reality into one-page artifacts people actually read. - AI-curious: eager to make AI tools part of how you work, not just a topic you studied. No engineering background required. What you'll gain - Daily, hands-on AI tooling experience alongside a team using it for real revenue work, a practical skill set few MBA programs teach. - Direct exposure to live B2B customer engagements across the sales cycle. - Ownership of a metrics system that company leadership reads. - A portfolio of shipped artifacts: a revenue analytics baseline, an enablement playbook, and an operating process that outlives the summer. Benefits - Compensation: $20-$25/hour - Part-Time commitment: 20 hours/week - Duration: 8 weeks Company Description Ottimate is an AI-powered accounts payable automation platform serving restaurants, hotels, healthcare, and other multi-unit businesses. Our platform turns invoices, approvals, and vendor payments into a single automated workflow.

• Architect and lead the implementation of an enterprise lakehouse on Databricks (Delta Lake, Unity Catalog, Photon, Workflows) across one or more major clouds (AWS, Azure, or GCP). • Design scalable batch and streaming data pipelines using PySpark, Spark SQL, Structured Streaming, and Delta Live Tables; establish patterns for ingestion from operational systems, event streams, and third-party APIs. • Define and enforce platform standards for data modeling (medallion architecture), CI/CD, code quality, testing, observability, and cost optimization. • Lead the governance strategy using Unity Catalog — fine-grained access control, data lineage, audit, and PII handling — in partnership with security and compliance. • Optimize Spark workloads for performance and cost: cluster sizing, Photon, autoscaling, file layout, Z-ordering, caching, and query tuning. • Partner with ML engineers and data scientists to operationalize models using MLflow, feature stores, and model serving on Databricks. • Own the cloud infrastructure footprint for the platform: networking, IAM, secrets, encryption, and Terraform/IaC for Databricks workspaces and supporting services. • Mentor a team of data engineers; lead architecture reviews, code reviews, and technical design sessions; raise the bar on engineering practices. • Engage with stakeholders across analytics, product, and finance to translate business needs into a roadmap for the data platform.

Role Description Are you a natural relationship-builder who loves the thrill of the initial connection, but hates cold calling and the pressure of a closing quota? As our Client Solutions Specialist, you’ll be the high-energy face of SweetRush, turning warm inbound inquiries into massive opportunities through strategic research and warm communication. If you thrive on momentum, love digging deep to uncover client pain points, and want to play a critical role in fueling our growth, this is the perfect playground for your business development skills. Location: Costa Rica, Remote Contract Type: W2 SweetRush is a remote organization, and as such, all resources must be technically savvy, have access to a strong internet signal, be comfortable with virtual/instant messaging and conferencing tools, and generally be available during established working hours. Your Impact and Responsibilities - Prospect Management - Monitor and qualify incoming new business prospects to ensure rapid response times. - Serve as the primary, high-touch point of contact for all incoming new business inquiries, ensuring every initial interaction reflects SweetRush’s distinctive culture, commitment to quality, and spirit of genuine partnership. - Draft constructive, professional, and deeply customer-centric email responses designed to make prospects feel heard, valued, and excited to move further down the funnel. - Maintain velocity & nurturing momentum through engagement of "warm" prospects with confident, competent communication regarding baseline pricing and high-level value propositions where necessary. - Ensure Sales Executive has all necessary context and deliverables to advance the conversation, while managing interim communication so the prospect remains engaged and warm during the transition. - Strategic Research - Conduct strategic opportunity research & profiling by analyzing incoming leads. - Independently research a prospect’s organizational structure, business priorities, L&D challenges, and decision-making dynamics to gauge the potential scale and priority of the opportunity. - Synthesize and brief the Sales Team by translating research findings into high-level, actionable summaries for Sales Executives. - Be the expert - Develop working knowledge of SweetRush's capabilities — eLearning development, instructional design, talent solutions, and emerging modalities — so you can advise clients accurately and enthusiastically. - Develop brochure pricing expertise. Act as the internal authority on standard pricing structures, rate sheets, and baseline cost models. - Stay current on L&D industry trends and bring relevant insights to client conversations. - Enablement - Manage & optimize prospecting content. - Partner with Solution Design, Marketing, and Sales Operations to ensure front-of-house assets are strategically aligned, operationally smooth, and perfectly teed up for the sales pipeline. - Own and organize the repository of front-of-house materials, ensuring early-stage collateral, case studies, and capability decks are current, high-quality, and readily accessible. - Proactively identify gaps in early-pipeline content and facilitate projects with Solution Design and Sales Ops to create or update enablement tools. - Coordination - Act as the internal prospect champion. - Translate initial prospect needs, pain points, and cultural fit clearly to internal growth teams. - Coordinate seamlessly across internal stakeholders—including C-Suite leaders, Sales Executives, Account Managers, Talent Solutions, and Marketing. - Keep initial outreach and early pipeline milestones strictly on track. - Facilitate the feedback loop by partnering with Leadership, Solution Architecture, Marketing, and Account Management. Qualifications - 4–6 years of experience in sales operations, sales enablement, business development, or high-touch inbound lead management—ideally within a professional services, consulting, or L&D/HR tech environment. - Experience managing and maintaining early-stage sales collateral, pricing sheets, or enablement tools. - Demonstrated ability to manage multiple client relationships simultaneously without dropping balls. - A detective mindset with genuine curiosity and skill for corporate research. - Exceptional Executive Synthesis with strong written and verbal communication skills. - Radical accountability; you follow up, you follow through, and you don't wait for someone else to move things forward. - Comfort with ambiguity and autonomy. Bonus Skills - Familiarity with the L&D space is a plus; passion for learning and human performance is a must. Call to Action Submit Your Resume! Team chemistry is everything to us, so our ultimate goal is to find the right fit. If the above describes your interests and experience, and you believe this will be a dream job, please submit your resume. We are excited to hear from you! Please note: We're all about remote work and have collaborators based all around the world; however, SweetRush is a US-based company, and English is our primary language. If you'd like to be considered for this opportunity, please submit your resume in English.