Vetted Stakeholder Management Professionals

“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.”

“Chief of Staff at Molecular Affinities and former Investor Relations & Operations manager at JCAM Investments, with hands-on experience supporting capital raising while simultaneously tightening operations (website, investor onboarding, back office). Strong operator who implements and drives adoption of systems like HubSpot, Asana, and Slack to improve executive productivity and team accountability.”

“Marketing designer and project manager with real-estate/leasing creative experience, leading cohesive brand systems across web, print, email, and social for a property portfolio. Builds scalable Figma-based report templates for regional/national teams with very fast update cycles (often <15 minutes) and produces platform-specific marketing videos in Premiere Pro.”

SREEJA REDDY Konda

Screened

Mid-level AI/ML Engineer specializing in NLP, MLOps, and predictive analytics

Kentwood, MI6y exp

“AI/ML Engineer at Fifth Third Bank who has shipped production fraud detection and risk analysis systems combining ML models with LLM-powered insights/explanations, including real-time monitoring, drift detection, and automated retraining under regulatory explainability constraints. Also built a hybrid-retrieval internal knowledge-base QA system (+20% top-5 relevance) and delivered a customer support chatbot that reduced first response time by 30% through strong stakeholder collaboration.”

Kehinde Majekodunmi

Screened

Senior Talent Acquisition Leader specializing in high-volume and DEI-focused recruiting

Brooklyn, NY9y exp

“Recruiting/people-ops leader at Marcy Lab School who partners directly with executive leadership to solve funnel and retention challenges. Designed a pre-orientation “Immersion Day” to reduce admitted-prospect drop-off and built a scalable diversity recruiting workflow by partnering with Black Girls Code to address a gender gap in the applicant pipeline.”

Paul Tran

Screened

Executive Technology Leader specializing in SaaS, federal consulting, and digital transformation

Tysons Corner, VA31y exp

“Former CEO of GravyWork with hands-on experience building an org-wide strategic plan and modernization roadmap for a growing company. Uses Michael Gerber’s innovation/orchestration/quantification framework and structured as-is/gap/to-be analysis to drive cost reduction, automation/outsourcing decisions, and leadership alignment through change.”

Teja Babu Mandaloju

Screened

Mid-level Data Scientist/MLOps Engineer specializing in NLP, GenAI, and cloud ML platforms

Chicago, USA5y exp

“AI/ML engineer who led production deployment of a multimodal (text/video/image) RAG system on GCP using Gemini 2.5 + Vertex AI Vector Search, scaling to 10M+ documents with sub-second latency and +40% retrieval accuracy. Strong MLOps/orchestration background (Kubernetes, CI/CD, Airflow, MLflow) with proven impact on reliability (75% fewer incidents) and deployment speed (92% faster), plus experience delivering explainable ML (XGBoost + SHAP + Tableau) to non-technical retail stakeholders.”

Peter Pallotta

Screened

Senior Marketing Coordinator specializing in go-to-market content and sales enablement

Toronto, Canada11y exp

“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.”

Brittny Belnavis

Screened

Mid-level Digital Marketing Specialist specializing in lifecycle email and paid search

Toronto, Canada6y exp

“Lifecycle and growth marketer with partnership experience at Kobo Rakuten, including co-marketing promotions with ebook/anime authors measured via CTR and conversions. Has led GTM user-acquisition initiatives across paid media partnerships and lifecycle marketing, using CAC/LTV/retention to optimize campaigns and referral incentive loops, and leverages a personal network to accelerate pilots and reduce sales-cycle time.”

“Quota-beating sales professional with experience across HR/payroll SaaS (Paychex) and e-commerce advertising/platform partnerships (Virtual Supply). Known for building pipeline via disciplined outbound + channel referrals and for quantifying business pain into clear economic ROI; also developed a channel-partner playbook that increased referrals by proactively fixing service issues.”

Rajeshwar Peri

Screened

Mid-level Data Analyst specializing in healthcare and financial analytics

Chicago, IL5y exp

“Healthcare analytics candidate with hands-on experience turning messy claims and CRM data into validated reporting tables, automating monthly reporting in Python/Airflow, and operationalizing churn metrics in SQL and Tableau. They appear especially strong in stakeholder-aligned metric design and delivered a reported ~10% churn reduction through cohort analysis, segmentation, and at-risk member targeting.”

“Analytics candidate with hands-on experience building SQL-driven reporting tables and end-to-end KPI dashboards in Power BI and Excel. They emphasize stakeholder alignment, metric clarity, and data trust, including defining retention metrics, documenting dashboards, and creating centralized reporting that reduced manual work and improved decision-making.”

“Analytics engineer/data professional with strong healthcare and membership analytics experience, combining SQL, dbt, BigQuery, Python, and Tableau to turn messy source data into trusted executive reporting. Stands out for metric governance and stakeholder alignment work, including unifying conflicting business definitions and delivering a CMS market-risk model that identified $792M in excess payer costs.”

“Outbound-focused candidate coming from a Cushman & Wakefield internship where they built pipeline by prospecting potential office tenants through email, calls, and LinkedIn. They stand out for signal-based, highly personalized outreach to mid-market and enterprise stakeholders, with experience generating 2-4 qualified tours per week and thinking like a founding SDR around ICP design, account tiering, and repeatable cadence building.”

“Full-cycle B2B seller who says he has never relied on inbound and has consistently self-sourced deals through outbound prospecting. He highlights being the top salesperson at both companies he worked for and cites a 3-month, $150k one-off project sale equal to 10% of annual quota, involving senior research, IT, legal, and procurement stakeholders.”

“Analytics professional with hands-on experience turning messy SAP enterprise data into trusted reporting layers and building end-to-end Python/Tableau analytics products. Stands out for combining technical rigor with business alignment—improving report accuracy by 30%, cutting refresh times by 25%, and independently delivering a CLV segmentation project across 96,000 customers that informed retention strategy.”

“Engineer with hands-on experience owning customer deployments for ordering and billing systems at Amdocs, including performance tuning, CI/CD improvements, and post-launch stabilization that delivered about 50% faster execution time. Also built and debugged an LLM-powered task prioritization app using Gemini, Streamlit, Python, and MongoDB, with a strong focus on prompt reliability, validation, and handling inconsistent real-world inputs.”

“Senior edtech product leader with nearly 20 years of experience who owned CCL's primary digital platform across strategy, execution, hiring, and operations. Most notably, they transformed a digital content delivery need into a licensing business that became the fastest-growing and highest-margin line in company history, while also shipping human-centered AI learning features and consolidating legacy tools into a unified platform.”

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.”

“Finance professional with IPO, capital raising, and PE-adjacent transaction experience who is also building Lungkindred, a caregiver matching platform inspired by her own experience as a lung cancer caregiver. She has shown early founder traction by sourcing users through niche patient communities and converting them into onboarded matches while navigating trust in a highly sensitive healthcare context.”

“Backend/platform engineer with hands-on ownership of Kubernetes GitOps delivery (GitHub Actions + Argo CD) on AWS EKS, including progressive rollouts and reliable rollback across interdependent microservices. Built a Python/FastAPI ML-driven document-processing service (PostgreSQL + S3) to complement existing Spring Boot systems, and implemented Kafka streaming pipelines with Schema Registry plus Prometheus/Grafana observability. Also supported a hybrid cloud-to-on-prem migration for compliance/latency with phased rollout and incremental PostgreSQL migration.”

“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.”