Remotebase

• Own all qualified sales opportunities generated by our Growth team. • Respond promptly to interested prospects and guide them through the sales process. • Conduct discovery calls to understand customer goals, challenges, and technical requirements. • Position AI workflows, AI agents, automation solutions, and custom software services based on customer needs. • Prepare proposals, pricing, and commercial recommendations. • Lead negotiations and close new business. • Act as the primary point of contact for customers after the sale. • Build strong client relationships and ensure a seamless customer experience. • Identify opportunities for account expansion, upselling, and renewals. • Maintain an accurate CRM and manage your sales pipeline effectively. • Collaborate closely with internal teams to ensure successful project handoffs and customer satisfaction. • Continuously improve sales processes, messaging, and conversion strategies through experimentation and feedback.

Role Description We’re looking for a highly motivated Sales Executive to own the entire sales journey, from the moment a prospect expresses interest to becoming a long-term customer. Our Growth team generates demand and qualifies opportunities. Your responsibility begins when a prospect responds positively and wants to learn more about our services. From there, you’ll take full ownership of the relationship by: - Chasing the lead - Leading discovery calls - Understanding business challenges - Presenting solutions - Negotiating commercial terms - Closing deals - Managing customer relationships to drive long-term growth This is not a role for someone who waits for instructions or follows rigid playbooks. We’re looking for someone who thinks independently, solves problems creatively, and is obsessed with turning opportunities into revenue. What You’ll Do - Own all qualified sales opportunities generated by our Growth team. - Respond promptly to interested prospects and guide them through the sales process. - Conduct discovery calls to understand customer goals, challenges, and technical requirements. - Position AI workflows, AI agents, automation solutions, and custom software services based on customer needs. - Prepare proposals, pricing, and commercial recommendations. - Lead negotiations and close new business. - Act as the primary point of contact for customers after the sale. - Build strong client relationships and ensure a seamless customer experience. - Identify opportunities for account expansion, upselling, and renewals. - Maintain an accurate CRM and manage your sales pipeline effectively. - Collaborate closely with internal teams to ensure successful project handoffs and customer satisfaction. - Continuously improve sales processes, messaging, and conversion strategies through experimentation and feedback. Qualifications - 2 to 5 years of B2B sales experience. - Based in the United States. - Experience selling one or more of the following: - AI workflows - AI agents - Business process automation - Custom software development - AI consulting services - Automation consulting - Digital transformation solutions - Strong consultative selling and discovery skills. - Excellent communication, presentation, and negotiation abilities. - Ability to build trust with technical and business stakeholders. - Highly organized with strong pipeline management skills. - Self-driven, resourceful, and comfortable working with minimal supervision. - Comfortable using modern sales tools and CRM platforms. Preferred Qualifications - Experience selling AI-powered solutions or automation services to mid-market or enterprise businesses. - Familiarity with technologies and platforms such as OpenAI, Anthropic, n8n, Make, Zapier, Microsoft Copilot, or similar AI and automation ecosystems. - Experience managing customer relationships after the initial sale, including renewals and account growth. - Previous experience working in a startup or fast-paced environment. What Success Looks Like Success in this role isn’t measured by the number of emails sent or meetings booked. It’s measured by outcomes. You’ll be successful if you consistently: - Convert qualified opportunities into customers. - Build lasting relationships with clients. - Increase customer lifetime value through renewals and expansion opportunities. - Solve commercial challenges creatively. - Improve the way we sell through experimentation and continuous learning. Who You’ll Thrive As You’ll thrive in this role if you: - Take ownership without waiting to be told what to do. - Enjoy solving complex business problems. - Think creatively when deals become challenging. - Take initiative and continuously look for better ways to win customers. - Care deeply about delivering value to clients rather than simply making a sale. Benefits - Market-competitive salary – rewarding your contributions fairly. - Global team experience – collaborate with talented professionals worldwide. - Join us and be part of an innovative, fast-growing company where your work makes a real impact!

• Execute manual test cases for web applications (front-end UI and backend logic); catch logic errors, UI glitches, and AI hallucinations. • Go off-script and “play around” with the application to find edge cases not covered in the requirements document. • Clearly document bugs with reproduction steps, screenshots, and logs so engineers can fix them quickly.

Role Description We are hiring a detail-oriented Quality Assurance Engineer for a high-ownership, hands-on manual testing role. The QA Engineer will act as the human “safety net” for high-impact projects built by AI-forward software engineers — quickly understanding a feature, testing it manually from an end-user perspective, and breaking it before the client sees it. No complex automation scripting is required right now; the role demands human judgment, including the ability to verify AI systems (LLMs, RAG) for hallucinations and context-limit issues. - Testing & Execution: Execute manual test cases for web applications (front-end UI and backend logic); catch logic errors, UI glitches, and AI hallucinations. - Exploratory Testing: Go off-script and “play around” with the application to find edge cases not covered in the requirements document. - Bug Reporting: Clearly document bugs with reproduction steps, screenshots, and logs so engineers can fix them quickly. - Strong experience in manual testing of web applications, with the ability to write clear test cases and bug reports. - Comfortable manually hitting API endpoints (e.g., via Postman) to verify backend logic without a UI. - AI literacy: understands that testing an AI chatbot requires checking for hallucinations and context limits. - High attention to detail — able to spot pixel-level UI issues or a slightly wrong AI answer immediately. - Comfortable working without perfectly written test plans in a fast-paced environment. - Good to have: experience with automated testing frameworks. - Strong communication skills. Benefits - In addition to a market competitive compensation, we have a reward philosophy that expands beyond this. - Fully remote. - Opportunity to work with a truly global team. - Flexible timings. You decide your work schedule.

• User Research & Strategy: Conduct competitor analysis, user interviews, and surveys to understand target audiences and define user pain points. • Information Architecture: Map out user journeys, sitemaps, and process flows to ensure the product's structure is logical and intuitive. • Wireframing & Prototyping: Build low-fidelity wireframes and high-fidelity, clickable prototypes to demonstrate app or website functionality. • Visual Design: Design aesthetic user interfaces—including colors, typography, icons, and widgets—while adhering to brand guidelines and accessibility standards. • Usability Testing: Plan and execute testing sessions to see how real users interact with designs, then iterate based on feedback and analytics. • Developer Handoff: Translate designs into detailed specifications and collaborate closely with engineering teams to ensure accurate implementation.

Role Description The ideal candidate will have a deep understanding of UI/UX Design. This role requires a strategic thinker with a passion for developing high-quality, scalable, and maintainable software solutions. - User Research & Strategy: Conduct competitor analysis, user interviews, and surveys to understand target audiences and define user pain points. - Information Architecture: Map out user journeys, sitemaps, and process flows to ensure the product's structure is logical and intuitive. - Wireframing & Prototyping: Build low-fidelity wireframes and high-fidelity, clickable prototypes to demonstrate app or website functionality. - Visual Design: Design aesthetic user interfaces—including colors, typography, icons, and widgets—while adhering to brand guidelines and accessibility standards. - Usability Testing: Plan and execute testing sessions to see how real users interact with designs, then iterate based on feedback and analytics. - Developer Handoff: Translate designs into detailed specifications and collaborate closely with engineering teams to ensure accurate implementation. - Design Tools: Proficiency in industry-standard software such as Figma, Sketch, Adobe XD, or InVision. - UX Principles: Deep understanding of user-centered design, interaction design, and information architecture. - UI Principles: Strong eye for visual hierarchy, color theory, typography, and responsive design. - Soft Skills: Excellent communication to present rough drafts and defend design decisions to stakeholders, combined with a highly collaborative attitude. - Portfolio: A robust professional portfolio showcasing end-to-end design processes, problem-solving skills, and shipped projects. - Experience working with Trading/Crypto/betting platform is a plus. Qualifications - Deep understanding of UI/UX Design. - Experience with industry-standard design tools. - Strong visual design skills. - Excellent communication and collaboration skills. - Robust professional portfolio. Requirements - Fully remote. - Flexible timings. You decide your work schedule. Benefits - Market competitive compensation (in $$). - Insane learning and growth.

Role Description This is a hands-on technical leadership role, not a pure management one. You own the core and infrastructure layer: the infrastructure, the ledger, and the settlement service — the parts of the system where being wrong damages trust irreversibly. You also own the architecture of the whole platform, the integration discipline that keeps parallel workstreams from diverging, and the relationship with the client on scope and go/no-go decisions. - Own and build the money-grade double-entry ledger (PostgreSQL, serializable, multi-AZ, RPO 0): - Balances derived from postings - Idempotency on every mutation - Books that reconcile to the cent - A reconciliation job that pages on any discrepancy - Own determinism and recoverability: - A single sequencer per market - An append-only event log - Snapshot-plus-replay recovery that produces bit-identical state - Enforce fail-safe behaviour everywhere: - Pricing, risk, and no-arbitrage invariants as runtime assertions that halt the market and page - Stale data pauses - An unreachable engine yields a clean rejection — never fail open - Own the settlement service: - Event-time resolution with correct sequencing of dependent outcomes - Fictionalization only after reconciliation against an authoritative data source - An admin override / market-void path - Own infrastructure as code (AWS EKS, RDS multi-AZ, Terraform) and scaling for bursty, schedule-driven traffic — horizontally by market, since the engine is single-threaded by design - Set the platform architecture, run hard integration checkpoints so work-streams never diverge, and maintain a descope ladder that protects the ledger, determinism, and fail-safe guarantees under pressure - Lead a small senior team across engines, platform, and core & infrastructure; own stakeholder communication and go/no-go decisions Qualifications - Senior, hands-on experience building financial, exchange, trading, or ledgered systems where correctness and auditability are first-class - Deep command of double-entry accounting systems and the discipline of deriving balances from an immutable record - Event sourcing / CQRS in practice: sequencers, append-only logs, snapshot-and-replay, and why determinism matters for recovery and testing - Strong PostgreSQL depth (serializable isolation, replication, recovery objectives) and production ownership of AWS (EKS/Kubernetes, RDS), Terraform, and multi-AZ failover - TypeScript / Node.js fluency — the platform is TS end-to-end with shared types across engine, API, and frontend - A track record of leading small senior teams to a commitment and making the scope trade-offs that protect the core when something slips - Calm, direct stakeholder communication - Real-time matching engine or order-book experience, ideally with a maker / inventory-risk model - Integrating an authoritative, low-latency real-time data feed - Observability ownership at the SLO level (Datadog / PagerDuty / Sentry), treating business-risk metrics as paged, first-class signals - Familiarity with regulated / licensing-gated product paths (KYC/AML, responsible-use controls, SOC 2) Benefits - In addition to a market competitive compensation, we have a reward philosophy that expands beyond this - Fully remote - Opportunity to work with a truly global team - Flexible timings. You decide your work schedule

• We’re looking for a passionate Backend Developer to join our growing engineering team. • You'll be working on scalable backend systems, collaborating with cross-functional teams, and shipping real products used by thousands of users. • You build and extend the pricing and matching core — the product's IP. • Pricing engine. Implement the coupled simplex maker from a precise spec. • A flow nudge (δ = 0.05) that shifts an outcome's log-odds on filled flow. • A model/flow blend q_blend = w·q_model + (1 w)·q_flow−. • A dynamic half-spread that widens with toxicity. • The workbook's four no-arbitrage checks wired as runtime assertions that halt the market and page on-call when violated. • Matching tiers (the documented build order). • Maker-risk mechanisms that run alongside matching. • You'll measure everything the way the report does.

• This is a hands-on technical leadership role, not a pure management one. You own the core and infrastructure layer: the infrastructure, the ledger, and the settlement service — the parts of the system where being wrong damages trust irreversibly. • You also own the architecture of the whole platform, the integration discipline that keeps parallel workstreams from diverging, and the relationship with the client on scope and go/no-go decisions. • The money-grade foundations. A PostgreSQL double-entry ledger (serializable, multi-AZ, RPO 0) where balances are derived from postings rather than stored as mutable counters, with idempotency keys on every mutation and a reconciliation job that pages on any discrepancy. When real money arrives, it must be new posting types — not a new system. • Determinism and recoverability. A single sequencer per game, an append-only event log, and snapshot-plus-replay recovery that produces bit-identical state. This is also what makes the engine testable against the source simulations. • Fail-safe behaviour, everywhere. The pricing workbook's no-arbitrage checks (sum of YES asks > 1, sum of YES bids < 1, mids sum to exactly 1, YES/NO complements per outcome) run as runtime assertions that halt the market and page on-call when violated. • A stale feed pauses the market; an unreachable engine produces a clean order rejection. The system never fails open. • The settlement service. Mid-game TIE/GTL resolution with correct no-intermediate-tie sequencing, final-buzzer KTL resolution, a maturity fee on profit, and finalisation only after reconciliation against official scoring — plus an admin manual-override and market-void path for overtime, voided games, and league scoring corrections. • Infrastructure as code. AWS EKS, RDS multi-AZ, Terraform; autoscaling for bursty, schedule-driven game-night traffic; managed failover primitives. The engine is single-threaded by design (determinism), so it scales horizontally by game — each game's markets are independent — rather than by threads. • Risk as a first-class operational signal. The maker's live exposure — the L2 norm of its [KTL, TIE, GTL] position vector, residual absorption (U), distance to the throttle cap, and cancel rate — is monitored and paged like infrastructure health. • Delivery leadership. Hard integration checkpoints so workstreams never diverge, a pre-agreed descope ladder that flexes scope while protecting the ledger / determinism / fail-safe guarantees, the failure drills, and the launch-readiness review with the client.

Role Description We’re looking for a passionate Backend Developer to join our growing engineering team. You'll be working on scalable backend systems, collaborating with cross-functional teams, and shipping real products used by thousands of users. You build and extend the pricing and matching core — the product's IP. - Pricing engine: Implement the coupled simplex maker from a precise spec: - The three probabilities as a single log-odds vector q = (q_KTL, q_TIE, q_GTL), with prices as p = softmax(q) so they sum to 1 automatically and no buy-all / sell-all arbitrage exists. - A flow nudge (δ = 0.05) that shifts an outcome's log-odds on filled flow, with the softmax coupling automatically lowering the other two outcomes in proportion. - A model/flow blend q_blend = w·q_model + (1 - w)·q_flow−, where the weight w ∈ [0.25, 0.92] drops toward observed flow when a per-outcome imbalance crosses the toxicity threshold (tox_thresh = 0.6). - A dynamic half-spread that widens with toxicity (base 6.5¢, up to 16.25¢) and hard price clamps (floor 3¢, ceiling 97¢), with a 10,000-share hard cap per trade. - The workbook's four no-arbitrage checks wired as runtime assertions that halt the market and page on-call when violated. - Matching tiers (the documented build order): - Tier 1 — direct FIFO matching (same outcome, same YES/NO, opposite side): zero maker risk, peer-to-peer. - Tier 2 — intra-synthetic matching (YES_X ↔ NO_X economic equivalents): closes intra-outcome flow book-to-book. - Tier 3 — cross-outcome hedge matching, hedge-aware and L2-strict: pairs cross-outcome orders only when the pairing strictly reduces the maker's L2 norm. - Maker-risk mechanisms that run alongside matching: - Partial-fill throttle — binary-search the largest fill that keeps L2 at or below the exposure cap; this is the system's non-negotiable safety net. - Whale splitting (500-share chunks) — the single highest-leverage feature on cancel rate and revenue; each chunk runs the full pipeline so maker depth builds between chunks. - Maker auto-quotes — self-unwinding _pPost-tagged ladders ([100, 150, 200]) posted on the unwinding side when |position| > 80. - Mean-reversion / proactive unwinding with accelerated decay (scaling from a 7% base toward a 25% cap as exposure grows) and inventory skew and a book-depth incentive (rest/maker split that gets aggressive when a book is thin). - You’ll measure everything the way the report does — cancel rate, U (residual maker absorption), peak L2, and peak/1K — and reproduce the source exactly: Excel pricing-row parity, the six shock scenarios, the 24 whale round-trips (the whale loses every config), and the 50×50 simulation metric envelope, all green in CI. A central, explicit unknown is adverse selection: the simulations used random traders, and the live market is the first encounter with price-responsive humans — laddered quotes can telegraph maker exposure, and the documented safe fallback is to keep accelerated decay and revert to a single unwind quote. Qualifications - Strong fit: quantitative / market-microstructure background, numerical-precision instincts, comfort turning a mathematical spec into deterministic, test-covered code. - Solid backend engineering in TypeScript / Node.js (or strong adjacent experience and the appetite to be fully productive in TS — the whole stack is one language, with shared types across engine, API, and frontend). - Comfort working from a written spec with test vectors and a habit of proving correctness with tests rather than asserting it. - Experience with PostgreSQL and event-driven architectures; an understanding of why determinism, idempotency, and append-only logs matter here. - A bias toward fail-safe design: when something is wrong, stop — never continue wrongly. Requirements - Prior work on an exchange, order book, trading, betting, or payments system. - Quantitative / market-microstructure exposure, market-maker inventory-risk models, or numerical optimization. - Production WebSocket / streaming experience at scale, NATS or Kafka. - Double-entry accounting or ledger-system experience. - Familiarity with AWS (EKS, RDS), Redis, and Datadog/Sentry observability. Benefits - In addition to a market competitive compensation, we have a reward philosophy that expands beyond this. - Fully remote. - Opportunity to work with a truly global team. - Flexible timings. You decide your work schedule.