Vetted Salesforce Professionals

“Growth/partnerships leader with experience across Hootsuite, SMART Technologies, and Spinify, building partner ecosystems and GTM programs tied directly to pipeline and revenue. Notably created agency partnerships that drove 21% of total revenue and ran a data-backed self-serve SMB experiment that produced an 18.4% lift in conversations.”

“Candidate brings an operator-to-founder profile with leadership experience in IT and Business Systems and a strong grasp of how ideas become venture-backable products. They speak fluently about startup evaluation criteria such as TAM, technical defensibility, speed to scale, and AI differentiation, and appear especially motivated by building solutions end-to-end in startup or venture studio environments.”

Janine Casale

Screened ReferencesModerate rec.

Director-level operations leader specializing in franchise and enterprise transformation

Parsippany, NJ29y exp

“Operations and business transformation leader with experience spanning franchise advisory and large-scale enterprise execution, most recently as Senior Director of Operations Solutions & Engagement at Wyndham Hotels & Resorts. Stands out for building structure in ambiguous environments, leading cross-functional initiatives across operations, legal, technology, sourcing, and brand teams, and using analytics tools like Power BI and Salesforce to turn fragmented processes into scalable, insight-driven systems.”

Victoria Mehran

Screened ReferencesModerate rec.

Senior investment professional specializing in venture capital and startup ecosystems

Los Angeles, CA12y exp

“Venture capital and venture studio operator since 2019 with experience evaluating 75+ startups and helping raise capital across accelerator and venture-building environments. Currently developing Zenom, an AI-driven longevity and preventive healthcare platform combining biomarker analysis, genomics, and personalized wellness recommendations, with commercialization ambitions across MENA and Los Angeles.”

“Product leader with a strong track record of modernizing legacy SaaS platforms, including an API-first rebuild that increased engagement by 40% and reduced support burden. Also led AI-powered workflow automation that delivered 80-90% time savings through human-in-the-loop design, showing a pragmatic, user-centered approach to applied AI.”

“Operator/program leader with experience building operating models and execution cadences for data/analytics and energy data services across Entech, HealthEquity, and RealPage. Has launched an undefined energy data management service into regulated enterprise environments and driven cross-functional alignment via dashboards, SLAs, and OKRs—contributing to enterprise wins and a successful company sale.”

“At Triple Whale, partnered with product, engineering, and sales to bring enterprise LLM-based budget recommendation agents from impressive prototypes to trusted production workflows. Strong in prompt/input tuning, explainable structured outputs, and running tightly-scoped POCs with clear success criteria—plus hands-on technical demos and post-sale implementation to drive adoption.”

“Public-sector-focused consultant with hands-on ownership of outbound/ABM, lead gen, and GTM strategy for early-stage and pre-launch products (including edtech). Built multi-channel campaigns spanning SEO/web copy, email, conferences, and direct outreach to state/district leaders, and created an Airtable onboarding system that cut prospect research time by 33%.”

“Built production LLM automations using the Claude API, including a sales enablement workflow that summarizes playbooks and incorporates sales call metadata into strategic one-pagers. Experienced in orchestrating and scheduling data pipelines with SnapLogic, Airflow, and Databricks, and in scaling LLM API calls via parallel/batch processing. Also partnered with HR to deliver prompt-tuned, automated Slack messaging aligned to business tone and acceptance criteria.”

“LLM/agent workflow engineer with healthcare experience (CVS/CBS Health) who built and deployed a production call-insights platform using Azure OpenAI + LangChain/LangGraph, including sentiment and compliance checks. Demonstrates deep HIPAA/PHI handling (tenant-contained processing, redaction, RBAC/encryption/audit logging) and production rigor (testing, eval sets, validation/retries, autoscaling) to scale to thousands of transcripts.”

“Operations/process leader with experience in SaaS and RPO environments, known for turning tribal knowledge into scalable, measurable systems. Has built documentation and knowledge-management standards for 90+ person teams, used data and change agents to drive adoption, and delivered major productivity gains (~300%) through training and automated reporting. Also led cross-functional process mapping and implemented partner onboarding workflows directly in Salesforce to improve SI partner enablement.”

“Insurance-tech CTO and repeat founder with 10+ years in insurance startups; was employee #4/CTO at Polly (formerly DealerPolicy) and helped scale it from a PowerPoint to 250 employees while raising $180M+. Currently building and selling AgentCanvas.ai—an extensible AI accelerator platform for large insurance agencies—after coding the product end-to-end and now running demos/POCs with prospective buyers.”

“Quota-carrying SaaS seller with experience at Splunk and Everlaw, spanning security/observability and legal tech. Strong in self-sourcing (events + outbound), running full-cycle deals ($50K–$75K ACV), and winning competitively via ROI/TCO narratives while navigating security/compliance and legal/procurement. Has also helped build a repeatable GTM motion in a high-ambiguity segment by refining ICP, messaging, and sales process rigor (MEDDICC, Gong, CRM hygiene).”

“Data engineer/backend engineer who owns large-scale, real-time event pipelines on AWS end-to-end, including a petabyte-scale CDC ingestion flow from multiple Postgres DBs into Redshift. Re-architected a legacy DynamoDB+S3 approach into a Delta Lake + DuckDB/PyArrow-compatible design, improving performance dramatically (e.g., ~600s to ~10s for 1k records) and increasing reliability at high file volumes.”

Emmett Ding

Screened

Senior Strategy & Operations professional specializing in climate tech commercialization and investing

New Brunswick, NJ8y exp

“Strategy consulting and business operations professional with climate-tech and climate VC experience (Avnos, Earth Foundry, Strategy&). Led cross-functional work to update a techno-economic analysis and produce a pilot proposal for direct air capture, contributing to a won engagement; also served as Chief of Staff to GPs, streamlining diligence, dealflow, CRM, and LP reporting to boost executive productivity.”

Briana Schoffman

Screened

Director-level Program & Professional Services Leader specializing in Enterprise SaaS and PMO

25y exp

“Entrepreneur who invested in a startup franchise concept and opened a dog-grooming store that became the most successful location in company history within one year, with projected revenue of $600K+ in 2026. Uses structured market sizing (PAM/TAM) and GTM thinking, and has executed cost-effective local marketing through grassroots social and community sponsorships.”

Richard Bemis

Screened

Executive CIO/CTO/CDO specializing in data, AI/ML, and digital transformation

Long Beach, CA21y exp

“Founder building a healthcare provider data management startup who has progressed from problem identification to product architecture, patent filing, prototype development, beta customer outreach, and angel fundraising. They also have experience performing technical assessments for VCs and approach company-building with a structured focus on customer demand, risk mitigation, IP protection, and candid core-team formation.”

Daniel Colon

Screened

Senior SaaS sales professional specializing in enterprise and AI-powered outbound sales

New York, NY8y exp

“Enterprise SDR/BDR with experience at Lightricks, Wix, and Red Points, focused on high-quality outbound into mid-market and enterprise accounts. Stands out for building outbound process from scratch, booking 18-20 meetings per quarter with an 85% SQL conversion rate, and using highly personalized, evidence-based outreach to win skeptical stakeholders and revive stalled deals.”

“Candidate has hands-on experience delivering production data and AI systems, including an AWS-based real-time data platform for a financial client at Deloitte and a production RAG workflow that cut manual search time by 40%. They stand out for combining strong data engineering depth with practical LLM governance, incident debugging, and stakeholder management across business and risk/compliance teams.”

“Player-coach engineering leader currently running a Solution Architecture/FDE team responsible for both presales and postsales delivery. Stands out for combining enterprise systems thinking with hands-on AI product work: they built configurable tooling that sped delivery by ~30%, drove a Kafka-to-Pulsar architecture shift for scale, and spent the last two years building LLM-based document extraction and RAG inference pipelines shaped directly by user feedback.”

“Product leader with cross-industry experience spanning field-service/mobile platforms, healthcare EHR patient portals, and legal contract lifecycle management. Stands out for building and pitching platform strategy at the executive level, shipping AI-assisted workflow improvements that saved technicians time, and tying product investments directly to business outcomes like ARR growth.”

“Early-stage founder building an engineering alpha product and planning a structured path to pilot and general availability. Active mentor in TechStars and MassChallenge with a strong VC network, emphasizing PMF, MVP-in-market feedback, and early sales while maintaining a sustainable approach to entrepreneurship.”

“Enterprise account leader in Kazakhstan (Procter & Gamble context) managing a $11M strategic retailer account and a broader book of 40 accounts/900 stores. Known for data-driven dashboards and cross-functional execution to prevent churn, drive e-commerce growth, and deliver measurable lifts (e.g., 100% SKU retention, +190% e-com growth, +45% pilot sales lift). Upskilling into martech/analytics and AI automation (Power BI, SQL, Python; CS50 and AWS Cloud Practitioner coursework).”