Technical Co-founder

Job not on LinkedIn

🕒 June 25

🔔 Pennsylvania – Remote

🔔 Pennsylvania – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👻 Ghost score 53%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Gigsaw

WebsiteLinkedInAll Job Openings

2 - 10 employees

👥 HR Tech

☁️ SaaS

🤖 Artificial Intelligence

HR Tech • SaaS • Artificial Intelligence

Gigsaw is an AI-powered SaaS company that transforms voice and text reflections into rich behavioral datasets to help organizations optimize talent, improve performance, prevent burnout, and enable career mobility. Its platform extracts real-time, high-resolution workstyle data and longitudinal people analytics—delivering adaptive workstyle modeling, behavioral workstyle intelligence, soft-skill mapping, and data-driven team-fit and career-path recommendations to create more human-centered workforce decisions.

📋 Description

• Take an instrumental role in the Product Roadmap and Development, from selecting foundational technology to planning sprints to building our MVP and platform • Hire, onboard, train, and manage team of internal or outsourced engineers • Work with Founder and Advisors to devise solutions to the challenges user relay • Oversee features, servers, and deployments and all aspects of DevOps • Ensure data privacy and encryption to protect our users • Conduct QA testing and provide rapid bug fixes • Lead in any technical components and product development

🎯 Requirements

• Full-stack expertise in bringing complex enterprise-grade systems to scale in the SaaS or B2C space • Excellent judgement and strong ethics, especially in selecting talent with the capability to scale and contribute to a great vision; experience managing dispersed team a plus for either new product/innovation teams within an enterprise or at a growth-stage startup • Cross-disciplinary Product, Engineering, and Data Analytics skills; People Analytics, Machine Learning, and Watson a plus • Thrive under pressure and find flow in tackling challenges that improve quality of life for others • Life-long learner, curious and questioning; always looking for a better way and a simple solution to complex issues; A strategic thinker • Strong sense of accountability and ownership with a desire to lead by example, investing time in mentoring your team • Progress and pragmatism over perfection • Ability to reverse-engineer concepts from a big picture to first steps and critical details

🏖️ Benefits

• Full ownership of your own destiny • Results-oriented flexible schedule • Future generous PTO and long-term remote work • Transparency at the forefront of our culture • Future continued learning credits for Audible • Generous benefits and competitive salary upon funding milestones • Equity

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