Senior Software Engineer

About Us

Our leading SaaS-based Global Employment Platform™ enables clients to expand into over 180 countries quickly and efficiently, without the complexities of establishing local entities. At G-P, we’re dedicated to breaking down barriers to global business and creating opportunities for everyone, everywhere.

Our diverse, remote-first teams are essential to our success. We empower our Dream Team members with flexibility and resources, fostering an environment where innovation thrives and every contribution is valued and celebrated.

The work you do here will positively impact lives around the world. We stand by our promise: Opportunity Made Possible. In addition to competitive compensation and benefits, we invite you to join us in expanding your skills and helping to reshape the future of work.

At G-P, we assist organizations in building exceptional global teams in days, not months—streamlining the hiring, onboarding, and management process to unlock growth potential for all.

About The Position

We are building G-P’s permanent Horizon 3 (H3) Discovery Engine—an autonomous unit unconstrained by existing corporate assets, designed to explore big macroeconomic shifts, workforce evolutions, regulatory shocks, and AI-agent economies. This isn't an internal infrastructure team or a traditional engineering department; it is an agile builder pod that shifts code, breaks assumptions, and runs fast, low-fidelity experiments to find product market fit. 

This is a co-founder-level engineering role working in a tight, single-threaded Pod alongside a Principal PM / Product Builder. You will have dedicated executive 'air cover' to bypass traditional corporate roadblocks, legal procurement delays, and enterprise architectural overhead. This role demands extreme ownership, a relentless bias for shipping over talking, and a knack for building 'sketchy V0s' that capture behavioral data rather than scale. If you want to spend months writing architecture design docs before typing a line of code, this isn't for you.

What You Will Do:

• Extreme Product Ownership: Drive the technical discovery, design, API contracts, and rapid discovery of net-new business concepts.
• Ship Weekly Behavioral Probes: Collaborate with your PM counterpart to build and launch weekly 'sketchy V0s,' fake-door landing pages, and concierge MVPs designed strictly for speed of validated learning.
• Be an Eng Hacker: Prioritize speed over perfect architecture. Write clean enough code to test a hypothesis, but remain entirely willing to completely scrap and rewrite your stack when a project is killed or pivoted.
• Build the Scrappy Engine: Wire up fast integrations, stitch together APIs, configure authentication, and implement usage tracking and product-led analytics on the fly.
• Leverage Frontier Tech: Serve as the technical expert on the team, translating emerging primitives—like LLMs, multi-agent frameworks, decentralized protocols, and automation tools—into functional software prototypes.
• Participate in Discovery: Don't just sit in an IDE. Join user interviews, review behavioral data with your PM, and use first-principles thinking to help decide whether to Persevere, Pivot, or Kill a concept at the end of each week.

What We're Looking For:

Minimum Requirements:

• Full-Stack Prototyping Chops: You can spin up frontend interfaces, spin down databases, and configure API integrations completely on your own. You are a generalist who values functional software over specialization.
• Agentic AI Mastery: You use modern AI development accelerators (e.g., Cursor, Claude, GitHub Copilot) daily to build software at startup velocity.
• 0-to-1 Hacking Experience: A proven track record of building apps, side projects, or early-stage software features from scratch. 
• Data Integration Agility: Experience working with disparate datasets, writing quick data transformation scripts, and setting up clean analytics events to track how users interact with prototypes.
• Workflow Encoding Intuition: Ability to take real-world, friction-filled processes (like legal, compliance, or HR workflows) and rapidly translate them into elegant digital logic.
• Extreme Ownership and Speed: You default to action, require zero supervision to deploy software, and possess a massive tolerance for ambiguity and changing requirements.

Preferred Qualifications:

• Early Startup Engineer: Experience working as a technical co-founder or an early engineering hire at an early-stage startup.
• AI/LLM App Development: Hands-on experience building prototypes that leverage LLM orchestration libraries (e.g., LangChain, LlamaIndex, Vercel AI SDK) or custom agentic workflows.
• Platform Deployment Agility: Proven ability to deploy, manage, and debug cloud-native prototypes autonomously using AWS services (e.g., ECS/Fargate, S3, Lambda or Bedrock)
• Integration Experience: Practical knowledge of rapidly integrating with diverse enterprise APIs (e.g., HRIS, fintech, identity management, CLMs) with a particular focus on fast auth and data mapping.

The annual gross base salary range for this position is $140,800- $176,000 plus variable compensation.

Our ranges are established using objective market benchmarking data for this level of work. Final placement within the range is determined by gender-neutral criteria, including the candidate's relevant skills, experience, and specific qualifications for the role.

Actual compensation for this position may vary and will depend on multiple factors such as relevant qualifications, experience, education, and geographic location. For Full-Time Regular Employees, this position is also eligible for additional compensation as follows:

• Sales Roles: This position is eligible for a commission structure in addition to base salary.
• Non-Sales Roles: This position is eligible for an annual bonus which is paid dependent on various factors, including and without limitation, individual and company performance in addition to base salary.

Benefits 

G-P values its employees and offers excellent benefits and perks including generous paid parental leave, flexible time off, spending accounts, medical insurance, dental insurance, vision insurance, sabbatical after 5 years and more.

Individuals residing, or applying to work, in the United States: California or Philadelphia , Pennsylvania, please review the following additional information:
G-P will consider qualified applicants with arrest or conviction records in accordance with the California Fair Chance Act, Los Angeles City Fair Chance Act Ordinance, Los Angeles County Fair Chance Act Ordinance, and San Francisco Fair Chance Act Ordinance. Los Angeles applicants can review additional information regarding the Los Angeles City Fair Chance Act here: , and Philadelphia applicants can review information pertaining to Philadelphia’s Fair Criminal Record Screening Standards Ordinance here: . Any consideration of a candidate’s background check with arrest or conviction records will include an individualized assessment based on the factors required by applicable law, including the candidate’s specific record and the duties and requirements of the specific job.

G-P. Global Made Possible.

G-P is a proud Equal Opportunity Employer, and we are committed to building and maintaining a diverse, equitable and inclusive culture that celebrates authenticity. We prohibit discrimination and harassment against employees or applicants on the basis of race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other legally protected status.

G-P also is committed to providing reasonable accommodations to individuals with disabilities. Individuals with disabilities are encouraged to apply for these positions. If you need an accommodation due to a disability during the interview process, please contact us at View email address on codingjobboard.com.