DevKit

Description
 

We are a unified ecosystem of products and services under one brand, including SplitMetrics Acquire (formerly SearchAdsHQ), SplitMetrics Optimize — our award-winning A/B testing and ASO platform of 2022 — and SplitMetrics Agency.
 

Requirements
 

- 6+ years of experience as Product Manager with 4+ years of experience as Lead Product Manager in product companies only, NOT OUTSTAFF/OUTSOURCE.
- Proven track record of launching successful B2B SaaS products — not just features, but entire products built for specific customer segments with clear impact on revenue and adoption.
- Strong analytical mindset — able to process large volumes of information, identify patterns, and focus on what truly moves the needle.
- Technically fluent — comfortable working hands-on with engineers, digging into data, and making sense of technical architecture to shape better products.
- Experience building products where success was driven by technology and innovation, not just process improvements or UX polish.
- A builder at heart — you thrive in ambiguity, move fast, and aren’t afraid to get your hands dirty to figure things out.
- Deeply curious and energized by emerging tech, especially AI, ML, agents — you don’t wait to be told what to build; you explore, validate, and drive the vision.
- Strong product intuition paired with a structured, metrics-first approach — you set clear KPIs, track what matters, and know how to grow a product through acquisition, activation, and retention.
- Confident working with customers — you know when and how to run customer development, gather real feedback, and turn insights into action.
- Exceptional communication skills in distributed teams — clear, proactive, and collaborative in both written and verbal formats.
- Fluent in English (C1+).

Responsibilities
 

- Define and own the product roadmap — translate strategy into a clear, actionable roadmap aligned with business goals and market trends.
- Drive product innovation — lead the development of new AI-powered sub-products and features that create business value and open new revenue streams.
- Improve how we work — streamline product and design workflows to accelerate delivery and improve team efficiency.
- Develop and scale the team — mentor a senior-level product team, contribute to hiring, and foster a culture of continuous growth and learning.
- Collaborate cross-functionally — work closely with the CEO, leadership team, and key stakeholders to ensure alignment and shared ownership of product goals.
- Leverage data at every step — use customer insights, performance metrics, and research to inform product decisions and measure impact.
- Understand the market — monitor market dynamics, customer needs, and emerging tech to identify strategic product opportunities.

Who this role is NOT for:

If your background is in consumer or mobile products — we’re focused on B2B SaaS for mid-to-enterprise clients.
If you’re used to structured, slow-moving enterprise environments — we move fast and value a high sense of ownership.
If your experience is mainly around feature delivery or UX improvements — we’re looking for a more strategic, business-oriented product mindset.
If there’s no clear track record of launching successful products with measurable business outcomes — this might not be the best match.

Description
 

We are a unified ecosystem of products and services under one brand, including SplitMetrics Acquire (formerly SearchAdsHQ), SplitMetrics Optimize — our award-winning A/B testing and ASO platform of 2022 — and SplitMetrics Agency.
 

Requirements
 

- 7+ years of backend engineering experience including distributed systems design
- 3+ years in a role with technical leadership responsibilities (team leader, senior leading others, etc.)
- Experience with planning, estimation and delivering complex projects
- Strong understanding of performance optimization and scalability principles
- Confident in owning decisions with business impact
- Able to work under high delivery pressure and manage trade-offs
- Excellent communication skills in English (B2)

Responsibilities
 

- Take full ownership of planning and delivering platform roadmap items
- Lead the backend engineers + QA engineers in the team, organize day-to-day work and ensure predictable delivery
- Plan work for the next quarter and contribute to high-level multi-quarter planning together with Director of Engineering
- Improve delivery accuracy, reduce delays, and manage risks early
- Design and develop scalable high-load backend solutions used across the company
- Optimize data flows, performance, and system reliability
- Drive modernization of legacy services, architecture improvements and technical debt reduction
- Collaborate with product owners, solution architects and other teams on priorities and alignment
- Ensure proper documentation, visibility and knowledge sharing inside the team

Description
 

Our platform supports AI-generated creatives and uses contextual signals, consent frameworks, and privacy-compliant data to select and serve ads.
 

Requirements
 

- 5+ years of hands-on experience in full-stack development.
- Strong proficiency in Python, JavaScript/TypeScript, React, Next.js, Firebase, and PostgreSQL.
- Deep understanding of Large Language Models (LLMs), GenAI, and their application in software development.
- Experience with AI coding tools like Cursor or other generative coding platforms.
- Skilled in Docker, Kubernetes, and cloud infrastructure.
- Self-starter who thrives on solving complex problems and learning new technologies.
 

Responsibilities
 

- Architect and develop end-to-end for AI-powered applications.
- Integrate AI capabilities (LLMs, GenAI, Agents, etc) into core products.
- Collaborate closely with design and product teams to deliver customer-centric solutions.
- Optimize and scale systems for performance and reliability.

Would be a plus

Experience with AdTech, DSPs, bidders, real-time systems, analytics dashboards, or multi-step UX flows.

Description
 

Our platform supports AI-generated creatives and uses contextual signals, consent frameworks, and privacy-compliant data to select and serve ads.

We are looking for an experienced Data Scientist to work on Teza’s data-driven optimization layer. You will design and develop the intelligence that powers our data-driven decision-making.

Requirements
 

- BSc/MSc/PhD in Data Science, ML, Statistics, or related field
- Strong experience in ML modeling, feature engineering, and experimentation
- Experience with predictive modeling and ranking/recommendation systems
- Experience working with large-scale datasets (BigQuery, Spark, etc.)
- Strong Python skills
- Experience with embeddings, text classifiers, and LLM-based scoring
- Strong SQL skills

Responsibilities
 

- Build bidding AI models
- Analyze large-scale events data for data to drive decision-making
- Improve campaign selection, and safety classifier
- Develop AI metrics for real-time optimization
- Work closely with engineering, product, and AI teams on core logic

Would be a plus

- Experience in ad tech, marketing tech, or real-time bidding — big advantage
- Experience with reinforcement learning or bandits
- Knowledge of DSP/RTB systems
- Experience with fraud detection or brand safety
- Experience deploying ML models in production
- Experience with campaign optimization in Google/Facebook/RTB

Description
 

Our platform supports AI-generated creatives and uses contextual signals, consent frameworks, and privacy-compliant data to select and serve ads.

We are looking for an Applied AI Agentic Researcher to develop Teza’s next-gen agentic creative generation system. This role is ideal for someone who loves turning AI research into real AI products and wants to shape how mass scale generative content creation is done. You’ll design and develop intelligent agentic workflows, train generative models, and turn it into the first large scale creative pipeline.

Requirements
 

- MSc or PhD in Computer Science, Machine Learning, AI, or related field
- Strong experience with LLMs, generative models training, and multimodal systems
- Experience with agentic frameworks (OpenAI Agents, LangGraph, Transformers Agents, etc.)
- Strong Python skills and understanding of LLM orchestration
- Experience with prompt engineering + multi-step LLM workflows
- Ability to read research papers and quickly transform concepts into prototypes
- Experience building production-grade ML/AI pipelines
- Strong understanding of model evaluation and experimentation

Responsibilities
 

- Develop agentic AI systems that generate and refine marketing creatives
- Build GenAI evaluation framework for fast iterations
- Build multi-step workflows using LLMs and tool integrations
- Research and prototype new methods for creative automation
- Explore personalization, self-improvement, and iterative creative loops
- Collaborate closely with product and engineering to ship production systems

Would be a plus
 

- Experience with reinforcement learning or online learning
- Knowledge of creative optimization or marketing tech
- Experience with image generation models (DALL·E, SDXL, etc.)
- Experience with semantic personalization
- Experience with agentic tool integration

We are a unified ecosystem of products and services under one brand, including SplitMetrics Acquire (formerly SearchAdsHQ), SplitMetrics Optimize — our award-winning A/B testing and ASO platform of 2022 — and SplitMetrics Agency.
 

Desired Skills and Experience:

- 7+ years of backend engineering experience including distributed systems design
- 3+ years in a role with technical leadership responsibilities (team leader, senior leading others, etc.)
- Experience with planning, estimation and delivering complex projects
- Strong understanding of performance optimization and scalability principles
- Confident in owning decisions with business impact
- Able to work under high delivery pressure and manage trade-offs
- Excellent communication skills in English (B2)

Responsibilities:

- Take full ownership of planning and delivering platform roadmap items
- Lead the backend engineers + QA engineers in the team, organize day-to-day work and ensure predictable delivery
- Plan work for the next quarter and contribute to high-level multi-quarter planning together with Director of Engineering
- Improve delivery accuracy, reduce delays, and manage risks early
- Design and develop scalable high-load backend solutions used across the company
- Optimize data flows, performance, and system reliability
- Drive modernization of legacy services, architecture improvements and technical debt reduction
- Collaborate with product owners, solution architects and other teams on priorities and alignment
- Ensure proper documentation, visibility and knowledge sharing inside the team

Опис:

Our platform supports AI-generated creatives and uses contextual signals, consent frameworks, and privacy-compliant data to select and serve ads.
We are looking for an experienced Data Scientist to work on Teza’s data-driven optimization layer. You will design and develop the intelligence that powers our data-driven decision-making.
 

Вимоги:

- BSc/MSc/PhD in Data Science, ML, Statistics, or related field
- Strong experience in ML modeling, feature engineering, and experimentation
- Experience with predictive modeling and ranking/recommendation systems
- Experience working with large-scale datasets (BigQuery, Spark, etc.)
- Strong Python skills
- Experience with embeddings, text classifiers, and LLM-based scoring
- Strong SQL skills

Обов'язки:

- Build bidding AI models
- Analyze large-scale events data for data to drive decision-making
- Improve campaign selection, and safety classifier
- Develop AI metrics for real-time optimization
- Work closely with engineering, product, and AI teams on core logic

Буде плюсом:

- Experience in ad tech, marketing tech, or real-time bidding — big advantage
- Experience with reinforcement learning or bandits
- Knowledge of DSP/RTB systems
- Experience with fraud detection or brand safety
- Experience deploying ML models in production
- Experience with campaign optimization in Google/Facebook/RTB