Vetted Salesforce Professionals

Brad Anderson

Screened

Executive product leader specializing in FinTech, SaaS, and digital transformation

Texas, USA23y exp

“Product leader with experience spanning telecom, fintech mortgage, and hospitality, including a major AT&T rebuild of a fragmented digital sales flow and AI-enabled lending/onboarding products. Brings a strong mix of legacy modernization, cross-functional alignment, UX iteration, and human-centered thinking about AI as an amplifier rather than a replacement.”

“Director-level product leader with experience spanning SaaS platform rebuilds, pricing strategy, and AI-native workflow design. At Skykit, they led a major self-serve/PLG account management transformation across multiple teams, and they also built an AI sales quoting tool using a multi-stage RAG pipeline that reached 100% quote accuracy in user testing.”

“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.”

“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).”

“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).”

Tommy Hendricks

Screened

Senior Account Director specializing in TV, digital, and out-of-home advertising sales

Rochester, NY44y exp

“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).”

Manvi Panjwani

Screened

Mid-level Machine Learning Engineer specializing in cloud, governance automation, and distributed systems

San Francisco, CA4y exp

“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.”

makarand pundlik

Screened

Mid-Level Software Engineer specializing in AWS serverless and Node.js microservices

New York, NY2y exp

“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.”

Uday Dorawala

Screened

Director-level Engineering Leader specializing in SaaS platforms, data, and cloud modernization

Raleigh, NC25y exp

“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.”

Julia Vavrinyuk

Screened

Senior Software Engineer specializing in cloud, GenAI, and SaaS solutions

Remote, USA9y exp

“Candidate combines B2B SaaS sales experience with hands-on technical delivery, spanning full-cycle selling at Consensus Cloud Solutions and GenAI POC leadership at Capgemini. Particularly interesting for Solutions Engineering roles that need someone comfortable with enterprise demos, AWS-based AI architectures, regulated-industry customers, and translating technical trade-offs into business decisions.”

“Product leader focused on transforming legacy white-label personal cloud platforms into AI-native consumer experiences at global telecom scale. They led the launch of ML-powered features across brands like AT&T, Verizon, and SoftBank, drove ~25% MAU growth, and paired strong UX judgment with deep technical fluency in AI infrastructure, rollout governance, and cost optimization.”

“Backend-leaning full-stack engineer with deep Go expertise who has operated from two-person startup environments to enterprise-facing analytics platforms. He has owned major rewrites and real-time systems, including a Go migration for a profitable automation startup, a WebSocket service that cut server load 38% for 2,000+ subscribers, and B2B analytics products used by Fortune 500 event sponsors.”

“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.”

“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).”

“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.”

Rich Brebes

Screened

Senior Lifecycle Marketing Manager specializing in retention and CRM automation

Los Angeles, CA10y exp

“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.”

PAVEL A ASPIAZU

Screened

Senior Paid Media (SEM/PPC) Manager specializing in Google Ads and Meta performance marketing

McLean, VA26y exp

“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.”

Sheldon Barrett

Screened

Mid-level Relationship Banker specializing in consumer and small business banking

New York, New York9y exp

“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.”

Asanti Mokwala

Screened

Junior Data & Insights Analyst specializing in BI, dashboards, and automation

Remote3y exp

“Worked on taking an LLM-based system at Soundmakr from prototype to production by adding prompt constraints, validation/guardrails, deterministic ranking, and robust logging/monitoring with feedback loops. Also partnered with product/marketing during an internship on Thea: Study Smart to analyze onboarding drop-offs and run A/B tests on AI-driven flows, translating results into actions that improved retention and conversion.”