Hashone Careers

About the job

Must-Have Skills

• 5+ years in data architecture / data engineering, with at least 2+ years in an architect or lead capacity
• Strong SQL — advanced query optimization, indexing, partitioning strategies
• Data modeling — dimensional modeling (star/snowflake schema), normalization/denormalization tradeoffs, entity relationship design
• Cloud data platforms — hands-on with AWS (Redshift, S3, Glue), Azure (Synapse, Data Factory), or GCP (BigQuery, Dataflow)
• Big data ecosystems — Spark, Hadoop, or Kafka for large-scale/streaming data
• Data warehousing — Snowflake, Redshift, BigQuery, or Databricks
• ETL/ELT pipeline design — Airflow, dbt, Fivetran, or similar orchestration tools
• Data governance & security — data lineage, access control, compliance (GDPR/SOC2), master data management

Strongly Preferred

• Experience architecting systems supporting ML/AI pipelines (feature stores, vector DBs, real-time inference data flows)
• Programming — Python or Scala for pipeline development
• API/microservices architecture exposure — understanding how data systems integrate with application layers
• Experience with data mesh / data lake house architectures
• Prior experience presenting architecture decisions to leadership/stakeholders

Key Responsibilities

• Own and drive the product roadmap for data and AI-powered features end-to-end

• Translate complex data and AI capabilities into simple, intuitive product experiences for brands and creators

• Collaborate closely with data engineers, ML engineers, and business teams to define and deliver product requirements

• Define product metrics and success criteria — including data quality, model accuracy, and user engagement

• Identify gaps in existing data pipelines and work with engineering to build scalable solutions

• Conduct user research, competitor analysis, and market mapping to inform product decisions

• Prioritise features and manage the product backlog with a strong data-driven approach

• Work with the AI team to evaluate and integrate LLM and GenAI capabilities into the product

Must-Have Skills

• Total experience of 2–3 years with at least 1–2 years in data engineering or data analytics

• Transitioned into or actively pursuing a product management role

• Strong understanding of data pipelines, ETL processes, SQL, and data modelling

• Ability to write and interpret data queries to inform product decisions

• Excellent communication and stakeholder management skills

• Strong product thinking — ability to break down complex problems into simple product solutions

Key Responsibilities

• Design, build, and deploy machine learning and AI models that power Transient.AI's core products (research automation, document intelligence, investor matching, and workflow orchestration).

• Work on applied NLP/LLM systems, including retrieval-augmented generation, structured extraction from unstructured financial documents, and model evaluation pipelines.

• Partner closely with product and founding engineers to translate capital markets workflows into scalable AI systems.

• Own model performance, reliability, and cost — from experimentation through production deployment.

• Build and maintain data pipelines, feature stores, and evaluation frameworks to support rapid iteration.

• Ensure systems meet the compliance, auditability, and security standards required in regulated financial environments.

What We're Looking For

• 5+ years of experience building and deploying machine learning or AI systems in production.

• Strong hands-on experience with Python and modern ML/AI frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, or equivalent).

• Experience with LLMs — fine-tuning, prompt engineering, RAG architectures, or agentic systems — is highly valued.

• Solid grounding in data structures, distributed systems, and MLOps practices (model serving, monitoring, versioning).

• Prior experience at a strong product company, high-growth startup, or a top-tier engineering background

• Comfort operating in an early-stage, high-ownership environment with limited process and high ambiguity.

Exposure to fintech, capital markets, or other regulated industries is a plus, though not mandatory

What We're Looking For

MUST-HAVE

• Proven track record shipping AI/ML products — LLMs, agentic systems, NLP, or vision

• Deep understanding of transformers, embeddings, fine-tuning, and RAG — not surface-level

• GTM experience: positioning, pricing, channel strategy, and adoption metrics

• Working knowledge of at least one programming language (Python preferred)

• Ability to turn ambiguous problems into product decisions quickly

GOOD TO HAVE

• Hands-on with agentic AI frameworks (LangChain, AutoGen, CrewAI, or similar)

• Background in consumer research, CPG/FMCG, or social analytics

• Experience in a zero-to-one or founding team environment

• Engineering or technical degree from a Tier 1 institution

Why Join

• Work with a CPTO who codes — no layers between your ideas and engineering

• Real clients, real scale — your product drives billion-dollar decisions at Unilever, P&G;

• Category-defining space — no dominant player in video-native consumer intelligence yet

• Small team (~132 people), startup pace, enterprise credibility

• Ownership and impact from Day 1

Who We Are

We’re a small, global team shipping ambitious features at a pace that would overwhelm most.

The kind of pace where QA isn’t a back office function — it’s the heartbeat of everything we

ship. Our customers expect speed and trust. QA is where those two meet.

What We Need

We’re looking for a QA Specialist who thrives in fast-moving environments. Someone who can:

● Spot gaps before they become failures.

● Shift gears as priorities change — without losing accuracy.

● Push testing forward with the urgency of a live launch.

This isn’t about ticking boxes on a test plan. It’s about owning the quality of what reaches the

customer, no matter how quickly the roadmap evolves.

Your Craft

● 3–5 years of experience in software QA (manual, automated, or both).

● Fast learner who can get inside the product’s mind and test like a real user.

● Ability to design and execute test cases at lightning speed — without compromising

depth.

● Comfort with dynamic priorities: you can validate a demo at noon and regression test a

release by 6pm.

● Familiarity with QA tools, automation frameworks, and bug tracking — but more

importantly, the instinct to know what needs to be tested first.

Key Responsibilities

Backend Development

• Design, develop, and maintain scalable backend services using Rust, Python, and TypeScript.
• Build high-performance microservices and APIs for AI-driven products.
• Develop fault-tolerant, secure, and maintainable distributed systems.
• Design event-driven architectures and asynchronous processing pipelines.
• Implement caching, message queues, and database optimization strategies.

AI & Machine Learning Integration

• Build and maintain backend infrastructure supporting LLMs, Generative AI, RAG systems, and AI Agents.
• Integrate models from providers such as OpenAI, Anthropic, Gemini, and open-source LLMs.
• Develop vector search solutions using Pinecone, Weaviate, Qdrant, or similar technologies.
• Build AI workflows for content generation, summarization, sentiment analysis, and conversational intelligence.
• Optimize AI inference pipelines for performance and cost efficiency.

System Architecture

• Design scalable architectures capable of handling high traffic and large volumes of data.
• Develop real-time processing systems and data pipelines.
• Implement observability, monitoring, logging, and alerting mechanisms.
• Drive performance tuning and latency optimization across services.

Cloud & DevOps

• Deploy and manage applications on AWS, GCP, or Azure.
• Work with Docker, Kubernetes, CI/CD pipelines, and Infrastructure as Code.
• Ensure system reliability, security, and scalability. 

Job Description:

We are seeking a motivated and dynamic Adtech Sales Executive to join our growing

sales team and contribute to our revenue growth. In this role, you will assist in driving

sales initiatives, building relationships with clients, and promoting our innovative adtech solutions. This is an exciting opportunity to make a meaningful impact on our company’s success in the digital advertising space.

Responsibilities:

● Support the sales team in achieving revenue targets and exceeding sales goals.

● Assist in the development and execution of strategic sales plans to drive business growth and expand our customer base.

● Help identify target brands and new business opportunities that will utilize our advertising platform through data-driven marketing methods.

● Build and maintain strong relationships with key clients and industry partners.

● Present our adtech solutions to clients, emphasizing their unique value and benefits.

● Participate in negotiations and support efforts to secure contracts and close deals

with clients.

● Collaborate with cross-functional teams, including product development, marketing, and customer support, to align sales strategies with business objectives.

● Stay informed about industry trends, competitor activities, and market developments to identify opportunities for growth.

● Provide regular sales updates and feedback to senior management, highlighting key metrics and areas for improvement.

Qualifications:

● Bachelor’s degree in Business Administration, Marketing, or a related field.

● Preferred experience from Out of Home (OOH) agencies or media owners.

● Strong interpersonal skills with the ability to build relationships and engage clients effectively.

● Understanding of adtech platforms, programmatic advertising, and the digital marketing ecosystem.

● Results-oriented mindset with the ability to thrive in a fast-paced environment.

● Proficiency in CRM software and Microsoft Office Suite.

● Willingness to travel as needed.

Your Craft:

● JavaScript/TypeScript & NodeJS flows through your fingers like a native language

● Next.js is your framework of choice for building full-stack magic

● Rust makes your heart sing when performance is non-negotiable

● Golang/Python feel like comfortable old friends (nice to have)

● MySQL/Postgres/Redis are tools you wield with intention

● AWS ecosystem is your playground, not your puzzle

● LLM/AI integration is something you've actually shipped, not just read about