Siva Krishna

Bryan Mangelson

Screened

Executive operator specializing in SaaS, cloud infrastructure, and M&A

Remote, USA11y exp

“Candidate has prior startup experience that included raising money and evaluating accelerator opportunities, giving them practical exposure to early-stage company building. They are motivated by the chance to shape company culture and vision, and they assess ideas with a mix of market research, customer interviews, and personal conviction.”

“Founder/product manager building an operational longevity nutrition startup with a 500k community, growing primarily through organic social content and rapid weekly funnel experiments. Has launched a detox bundle via a major partnership with Hurom (expected to drive ~$500k ARR) and is building a pipeline of partnerships plus planned corporate sales; preparing to raise $500k–$1M and applying to accelerators.”

“Current Riveron professional with prior startup experience at Quizlet who performs M&A security assessments for VC-backed acquisitions, while also co-founding a private company on the side. Particularly notable for attracting a16z investment interest but intentionally declining funding to preserve equity, board control, and product vision.”

Jackson Dike

Screened

Entry-Level Software Engineer specializing in Machine Learning and AI

Remote1y exp

“Master’s-level candidate with an academic project portfolio, including ownership of a Python-based video game recommendation system using unsupervised clustering. Has hands-on experience designing the system approach and validating recommendation quality with test cases, plus teaching assistant experience instructing Git/GitHub workflows; limited exposure to Kubernetes, GitOps, and large-scale infrastructure.”

“Sole founder of Bazaaro who built the company’s operations across product, hiring, GTM, finance, and investor relations—securing initial investment by effectively spanning multiple functions. Also drove a high-stakes operational turnaround at Ciena by process-mapping end-to-end workflows, correcting cost mis-modeling, and building Excel dashboards to recover $60K+ while improving margin visibility.”