Vetted Salesforce Professionals

“IT-industry partnerships professional focused on sourcing and negotiating vendor relationships based on customer needs, using quoting workflows to structure mutually beneficial deals. Has leveraged vendor relationships to generate inbound client requests and used email + LinkedIn outreach to reach target audiences; no direct experience in gaming or creator ecosystems.”

“Cloud/ML engineer with production deployment experience on Azure (Dockerized models, managed APIs, data pipelines) who has repeatedly stabilized unreliable systems—e.g., taking an API-driven analytics pipeline from ~60% to 98% reliability and an Azure ML service from ~80% to 97% by addressing rate limits, container memory, and gateway timeouts. Also built an explainable contract-risk model for entertainment bookings (Transformers + SHAP) and integrated it into a legacy booking system via a Flask REST API, plus prior IoT work at Nissan processing CAN bus sensor streams for diagnostics/anomaly insights.”

“People/HR leader in a manufacturing tech startup environment who partners directly with co-founders/CFO to drive org-wide change. Led a major shift to a Spotify-style squad model on the commercial side and uses engagement-survey analytics (including AI-assisted analysis) to guide management practices, restructures, and resource decisions while handling sensitive ER situations.”

“Solutions Architect with 5+ years leading pre- and post-sales engagements, focused on taking complex tooling from test/prototype to secure production through a structured discovery-to-deployment approach. Experienced in LLM workflow troubleshooting using tools like Langfuse/Gopher and in developer enablement via concise, hands-on workshops (e.g., Jenkins on Kubernetes at scale). Has navigated internal and external blockers to drive adoption and keep enterprise deals moving (including a Jenkins sale to Love's).”

“Sales Development professional running full-cycle outbound plus inbound qualification, consistently generating 6–8 meetings/month and influencing ~$350k–$550k in pipeline per quarter. Experienced supporting enterprise AEs on complex, multi-stakeholder deals (5–8 stakeholders; mid-5 to low-6 figures), with strong SQL-to-opportunity conversion (70–75%) driven by tight discovery, ICP refinement, and disciplined CRM hygiene.”

“Former founder with an acquired venture who later led R&D at McClatchy and joined multiple startups. Identified a major client need and built a mobile app platform using ML and AR for home builders, driving adoption by dozens of customers and $1M+ ARR. Strong hands-on builder who can architect MVPs, iterate quickly with A/B testing and user feedback, and scale early engineering teams and culture.”

“Forward-deployed, full-stack/platform engineer who owns production features end-to-end across frontend, backend, data, and infrastructure (AWS serverless, Terraform, React). Has modernized critical fintech/payment systems (zero-downtime monolith-to-microservices with Kafka event sourcing) and productionized AI-native support workflows (LLM + RAG on Pinecone) with measurable gains in latency, incidents, CSAT, and support efficiency.”

“Clinical data scientist who has built an agentic LLM-powered literature review assistant (with RAG-style storage/retrieval) to identify predictors for downstream predictive modeling. Also delivered a patient-focused progression analysis model using Databricks + Airflow orchestration, partnering closely with clinicians to define targets and validate that model insights aligned with clinical expectations.”

“Former college basketball coach/player and college administrator who owns and runs an AAU/youth basketball organization in Western NY, impacting 200+ kids and families over ~20 years. Combines hands-on scouting and officiating at exposure events with a current career in sports media/advertising sales, producing content tied to major events (Final Four, NBA, Olympics, NFL).”

“Outside sales engineer and full-cycle seller with hands-on outbound ownership across manufacturing (machine vision solutions) and real estate. Uses a highly structured, data-driven approach—ZoomInfo-based targeting, A/B-tested Salesforce cadences, and AI (Gemini 2.5) to automate personalized messaging at scale (~300 custom emails/week). Also has early-stage startup experience creating investor-facing marketing roadmaps and team operating rhythms.”

“Customer-facing technical specialist with experience spanning regulated Class II/III medical devices (FDA compliance, firmware vulnerability escalation) and large-scale industrial/energy deployments. Known for rigorous troubleshooting using logs/network traces and tight documentation/escalation in Salesforce, plus repeatable onboarding and integration practices (API into CI/CD, secrets via env vars, container standardization).”

“Software intern at BestWork who owned an AI-powered sales performance chatbot end-to-end: React/Material UI frontend, TypeScript AWS Lambda backend, and AWS Bedrock (Llama 3) + OpenSearch knowledge base over Salesforce/HubSpot data with Slack-based weekly summaries. Worked directly with the CTO in a high-ambiguity environment, including building an audio bot from scratch just in time for a client demo, and implemented metadata-based retrieval to handle multi-team knowledge base constraints.”

“Governance engineer intern at GSK who built policy-as-code automation using Open Policy Agent/Rego integrated into GitHub CI/CD and Terraform workflows. Also built and shipped a voice-enabled expense tracking app using speech-to-text + LLM structured extraction with strong validation, retries, and semantic guardrails, and designed the supporting PostgreSQL data model with performance-focused indexing.”

“TSE with hands-on experience troubleshooting customer-reported data issues across APIs and SQL, coordinating with engineering on hotfixes, and translating risk to non-technical stakeholders. Has supported application security workflows using Veracode by generating reports, driving remediation via Jira, and tracking exposure metrics; also assisted customers with SSO setup (client ID/secret).”

“Paid media performance marketer with agency experience owning a high-spend account for ArcPoint Labs, running multi-channel Google Ads (search/display) and Meta campaigns to drive medical testing appointments and sales. Reported lifting ROAS from ~2x to ~6–7x within ~18 months while supporting expansion from 30 to 60 U.S. locations, using disciplined attribution, constant A/B testing, and structured campaign health audits.”

“Lifecycle/CRM marketer who built financing-journey email campaigns at Blue X Trade using Mailchimp and n8n, including an AI agent to validate user info and trigger instant correction emails—improving retention and ROI. Runs structured A/B tests on dynamic personalization (name/location/trading country) that increased engagement and bookings, and has led cross-functional promotions while managing third-party rewards integration issues with monday.com.”

“CRM/lifecycle marketer with experience reactivating inactive members in a gaming/loyalty context, using RFM-style segmentation and multi-channel journeys (email plus host phone outreach). Demonstrated measurable lift (20% reactivation/engagement) and optimization through A/B testing of incentive strategy, while coordinating closely with Creative, Operations, and Compliance during major campaigns.”

“Backend/data engineer who builds Python (FastAPI) data-processing API services for internal analytics/reporting, emphasizing modular architecture, async performance tuning, and reliability patterns (health checks, retries, observability). Also migrated legacy on-prem ETL pipelines to Azure using ADF/Data Lake/Functions and implemented a near-real-time ingestion flow with Event Hubs plus watermarking to handle late events and deduplication.”

“Lifecycle/CRM marketer with DTC jewelry experience who built a segmented post-purchase workflow targeting engagement-ring buyers and drove repeat purchases from ~2% to ~30% within a 90-day window using personalized recommendations, educational/social-proof content, and incentive testing. Emphasizes rigorous segmentation, ongoing data audits, and continuous A/B testing to improve retention and revenue.”

“AI Engineer Co-Op at Northeastern University who built a production Patient Persona Chat Bot to help nursing students practice clinical interactions, fine-tuning Llama 3 and integrating a LangChain + Pinecone RAG pipeline deployed on Amazon Bedrock. Emphasizes clinical accuracy and reliability with guardrails, retrieval filtering, and continuous evaluation, and also brings strong data engineering/orchestration experience (Airflow, EMR/PySpark, ADF, dbt, Databricks, Snowflake).”

“Relationship banker selling consumer and small-business banking products, using Salesforce-driven lead prioritization and a disciplined multi-channel outreach cadence (phone/email/text) to build and deepen a client portfolio. Leverages customer behavior insights to tailor conversations and drive outcomes like warm transfers to lending specialists, and has experience integrating newly launched banking products into client discovery.”

“Quota-beating SaaS seller (118%/115%/125% ramp; top ramp rep at Intellistack) with strong outbound + consultative MEDPIC process. Notable wins include reactivating a churned account into a 3-year agreement with a $30K uplift and closing a ~$90K ACV competitive displacement by proving ~$90K/year savings and navigating legal/security reviews. Interested in a hunter role and targeting $200K OTE ($100K base) with equity at a mid-stage startup.”

“Customer-facing enterprise sponsorship/advertising professional who owns campaigns end-to-end (kickoff, timelines, weekly reporting, wrap decks) and drives renewals/upsells through performance insights. Known for operational rigor and cross-functional issue resolution (including fixing a sold-out newsletter sponsorship conflict) and for using ChatGPT to streamline asset workflows and build an industry trend tracker that directly supported expansion deals.”