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We are looking for a Senior Software Engineer to build the rendering infrastructure behind a novel search engine designed for agentic AI. In this role, you will design systems that transform modern web applications into high quality structured content for search and AI. You will work on browser rendering, JavaScript execution, and large-scale rendering infrastructure capable of processing billions of pages efficiently. Modern websites increasingly rely on client-side rendering, dynamic data loading, and complex application frameworks. Your work will ensure we can reliably render, understand, and extract valuable information while minimising cost and latency.
In this position, your responsibility will be to:
Design and build large-scale rendering systems for modern web applications
Develop browser-based rendering infrastructure capable of executing complex JavaScript applications reliably
Research how modern frontend frameworks render and deliver content
Improve rendering quality, completeness, and performance across diverse websites
Optimise rendering cost, latency, resource utilisation, and throughput at internet scale
Translate rendering research into reliable production systems

Were looking for a Founding Business Development Representative to build outbound motion from the ground up.
This is a high-impact opportunity to define our target market, identify and engage enterprise prospects, develop messaging and outbound playbooks, and create the pipeline that will fuel next stage of B2B growth.
Youll work closely with the B2B sales and leadership team, with significant ownership over how we approach the market. This role is ideal for a true outbound hunter who enjoys opening doors, experimenting with messaging, and turning data and market feedback into a repeatable sales motion.
What Youll Do:
Identify, research, and prioritize high-potential enterprise accounts across key markets and industries.
Build and maintain target account lists and map key decision-makers and stakeholders within each account.
Execute highly personalized, multi-channel outbound campaigns across email, LinkedIn, phone, and other channels.
Develop and continuously optimize messaging, sequences, and cadences based on results.
Engage prospects to uncover business needs, pain points, and potential use cases .
Qualify prospects based on ICP fit, business need, relevant stakeholders, and timing, and book qualified discovery meetings with the AE.
Maintain accurate CRM data and manage outbound workflows in HubSpot and other sales tools.
Partner closely with Sales, Marketing, and Product to share market insights and improve messaging and positioning.
Track activity, conversion, and pipeline metrics and use data to continuously improve performance.
Help build outbound playbook, including ICP definition, messaging, qualification criteria, sequences, and best practices.

Were looking for an exceptional Enterprise Sales Executive to help build our companys U.S. business and drive our next stage of growth.
This is a founding sales role at our company, with a clear focus on winning net-new enterprise customers across the U.S.
Youll build new relationships from the ground up, open doors into some of the largest organizations in the U.S., and own complex enterprise deals from first conversation through close.
This is not an account management role. Were looking for a true new-business builder - someone who knows how to create opportunities where none exist, navigate complex organizations, build relationships with senior executives, and turn those relationships into significant enterprise revenue.
Youll work directly with our companys founders and leadership team, helping us define which customers we pursue, how we win them, and ultimately how we build a repeatable enterprise sales motion in the U.S.
If youre excited by the opportunity to combine AI, enterprise sales, and building a market from the ground up, this is a chance to have a significant impact at an early stage.
our company Values
Ownership - We take responsibility and move decisively.
Clarity - We simplify complexity to deliver meaningful impact.
Accuracy - Precision matters in everything we do.
Velocity - We move fast and execute with purpose.
Partnership - We succeed by working closely together.
What Youll Do
Win net-new enterprise customers and drive new revenue across the U.S.
Build your territory and pipeline from the ground up, including proactively identifying and creating new opportunities.
Own the full enterprise sales cycle - from prospecting and discovery through business case development, negotiation, and close.
Build trusted relationships with C-level executives and multiple stakeholders across complex enterprise organizations.
Navigate long, consultative, multi-threaded sales cycles and create urgency around strategic initiatives.
Understand customers business challenges and position our companys AI platform around measurable business value.
Develop account strategies for high-value target organizations and identify the right entry points, champions, and decision-makers.
Partner closely with SDRs while also taking personal ownership of pipeline generation and opening strategic accounts.
Work directly with the founders, Product, and Customer Success teams throughout the sales process.
Help shape our companys U.S. enterprise sales playbook based on what you learn in the market.

We are looking for a Backend Engineer with deep data engineering expertise to build and evolve the systems that power product, analytics, experimentation, and AI development.
You will work across production backend services and data infrastructure, taking technical ownership of the full data lifecycle - from event ingestion and real-time processing to orchestration, modeling, quality, and reliable data access. This role combines hands-on backend development with ownership of shared data platform, working closely with backend, frontend, AI, DevOps, analytics, and product teams.
Key Responsibilities:
Build and maintain production-grade Python and Java backend services, APIs, and reactive data-processing pipelines with clear interfaces, resilient failure handling, and comprehensive observability.
Own and evolve batch and streaming data pipelines supporting product analytics, learner insights, experimentation, and AI model training.
Design and maintain trusted data models, shared metrics, and semantic-layer business logic across the analytical data platform.
Define and enforce standards for data contracts, testing, lineage, freshness, and observability.
Develop reliable approaches to schema evolution, backfills, replay, workload distribution, and failure recovery.
Collaborate with DevOps, backend, frontend, AI, analytics, and product teams to deliver reusable data capabilities and maintain clear system boundaries.