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Senior Customer Success Manager
Optimize CPG retail operations with real-time shelf intelligence and AI agents that automate inventory tracking, sales analysis, and field execution strategies.
Experience Requirements:
8+ years of experience in Customer Success, Account Management, or Client Services.
3+ years in a leadership role managing CS teams in a B2B SaaS environment.
Other Requirements:
Proficiency in CS platforms like Gainsight, Salesforce, or similar.
Strong executive presence and ability to influence at all levels.
Familiarity with AI/ML or data-centric technologies is a strong plus.
Responsibilities:
Lead, coach, and grow a high-performing Customer Success team.
Define and operationalize customer lifecycle strategies that drive engagement, satisfaction, and renewal.
Establish clear KPIs and reporting structures to track customer health and team effectiveness.
Build trusted relationships with key accounts and executive stakeholders.
Act as a strategic partner to Product and Engineering to surface insights.
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Accounting Manager/Sr. Accounting Manager
Design superior therapeutic molecules and accelerate drug discovery using physics-based AI algorithms and high-throughput experimental feedback loops.
Benefits:
industry leading competitive pay
company paid healthcare
flexible spending accounts
voluntary life insurance
401K matching
Education Requirements:
Bachelor’s degree in Accounting, Finance, or a relevant field
Master’s degree in Accounting, Finance, or a relevant field
Experience Requirements:
9–12 years of progressive experience for Bachelor holders
6-8 years of progressive experience for Master holders
Experience with clinical trial accounting and R&D cost tracking (preferred)
Prior experience overseeing month-end close and financial statement preparation
Experience with NetSuite (highly desired)
Other Requirements:
CPA certification required
Strong working knowledge of U.S. GAAP
Proficiency in Microsoft Office with advanced knowledge of Excel
Responsibilities:
Lead and oversee monthly, quarterly and annual close processes
Conduct complex account reconciliations and oversee the general ledger
Research and manage technical accounting matters
Develop, implement and maintain internal controls and SOX compliance
Lead the preparation of annual audits
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Enterprise Account Executive
Eliminate communication barriers and improve customer satisfaction with real-time accent translation, noise cancellation, and multi-language support.
Experience Requirements:
7+ years of enterprise SaaS, AI, or technology sales experience
Proven success selling contact center, CX, CCaaS, or operations technology
Track record of consistently achieving or exceeding $1M+ ARR quotas
Deep familiarity with enterprise buying cycles, procurement, and security requirements
Demonstrated success managing multi-stakeholder $500K+ ARR enterprise deals
Other Requirements:
Strong executive presence and ability to influence C-suite stakeholders
High energy, self-starter mindset, and ability to thrive in a fast-growth, category-creating environment
Willingness to travel
Responsibilities:
Build and close new business with large enterprise organizations and global services partners
Drive multi-stakeholder sales cycles with executives in CX, Operations, IT, and Revenue
Navigate enterprise security and procurement processes, ensuring trust in Sanas’ platform
Contribute to the enterprise sales playbook — documenting sales motions, objection handling, and ROI proof points
Achieve $1.5M+ in new ARR annually, with a mix of direct contracts and partner-led engagements
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Cloud Software Engineer (mid-senior)
Streamline enterprise communication and boost retail sales using advanced conversational AI, voice assistants, and visual search tools for seamless user engagement.
Benefits:
Competitive salary
Training programs from Google Partner Advantage Program
Exposure to AI LLMs and GenAI
Private Medical insurance (Poland only)
Multisport card (Poland only)
Experience Requirements:
Seasoned generic software development skills
Cloud solutions development (AWS, GCP)
Proficiency in Node.js and Typescript
Microservice architecture
Proficient handling of SQL and NoSQL databases
Other Requirements:
Good command of spoken and written English
Willingness to be a part of high performing team
Desire to take lead and drive projects autonomously
Exceptional problem solving
Security best practices
Responsibilities:
Designing and implementing comprehensive cloud solutions
Creating generative AI solutions
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Data Scientist (Warsaw)
Streamline enterprise communication and boost retail sales using advanced conversational AI, voice assistants, and visual search tools for seamless user engagement.
Benefits:
Professional development in GenAI
Private Medical insurance
Multisport card
Google certification paths
Cooperation with a great team
Experience Requirements:
Minimum of 3 years of experience in Data Science
Minimum of 2 years of experience in NLP tasks
Proficiency in PyTorch or another deep learning library
Expert programming skills in Python
Familiarity with the Numpy/Pandas libraries
Other Requirements:
Solid understanding of machine learning concepts
Knowledge of version control systems: git
Interest in and ability to work with advanced AI technologies
Knowledge of generative GPT models and Langchain
Proficiency in cloud solutions (AWS or GCP)
Responsibilities:
Work at the intersection of innovation and practical application
Shape the future of AI technologies
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Conversation Designer (with German)
Streamline enterprise communication and boost retail sales using advanced conversational AI, voice assistants, and visual search tools for seamless user engagement.
Benefits:
Private medical insurance
Multisport card benefits
Flexible employment options
Annual holiday allowance
Informal work culture
Education Requirements:
Master’s Degree, preferably in Linguistics, or a related field
Experience Requirements:
Proficiency in both German and English at C1 level or above
Previous experience in AI or NLP projects
Strong understanding of bot structure and design principles
Familiarity with generative AI technologies
Other Requirements:
Proficiency in additional languages at B1 level
Familiarity with Google tools such as Docs and Sheets
Experience with Dialogflow ES/CX, Python, Regex, Gitlab
Responsibilities:
Designing, constructing, and maintaining chatbots and voicebots
Collaborating with cross-functional teams
Contributing to evolution of conversational AI strategies
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Legal Counsel
Extract mission-critical intelligence from massive volumes of unstructured data using AI-driven analytics to identify threats and accelerate decision-making.
Education Requirements:
Qualified solicitor/lawyer
Experience Requirements:
5+ PQE with strong post-qualification experience
Experience either in-house or in private practice
Experience in technology, software, AI or Defence sectors (desirable)
Experience working in a start-up or other fast-paced and dynamic environment (desirable)
Other Requirements:
Ability to work independently and autonomously
Commercial and pragmatic approach
Ability to manage and prioritise matters and competing stakeholder demands
Enthusiasm for new challenges and upskilling in different areas of law
Strong communication skills
Responsibilities:
Managing Adarga’s general commercial legal responsibilities
Reviewing, drafting and negotiating a wide range of commercial agreements
Advising on legal issues and risks in areas such as employment law, IP and privacy
Advising on special projects such as new product developments, fundraising and M&A
Reviewing and implementing company policies and procedures
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AI Engineer
Extract mission-critical intelligence from massive volumes of unstructured data using AI-driven analytics to identify threats and accelerate decision-making.
Education Requirements:
Advanced degree (Master’s or PhD) in Computer Science, Machine Learning, NLP, or a related technical field
Experience Requirements:
3+ years of hands-on experience applying machine learning in production settings
Practical expertise with Generative AI techniques (LLMs, RAG, agentic workflows)
Strong Python development skills
Familiarity with modern ML and NLP frameworks (Hugging Face, spaCy, PyTorch, Scikit-learn)
Exposure to systems integration challenges (e.g., PostgreSQL, Elasticsearch)
Other Requirements:
National security vetting (UKSV) requirement
Familiarity with Kubernetes and infrastructure for scaling ML models
Clear, confident communicator who can bridge technical depth and product impact
A curious mindset and ability to experiment with new tools
Responsibilities:
Design and develop machine learning models and algorithmic solutions
Partner with product managers and engineers to deliver ML-powered features
Engineer solutions with understanding of algorithmic complexity and operational cost
Communicate model choices, assumptions, and tradeoffs clearly
Take full ownership from early experimentation through to deployment and optimisation
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Data Engineer
Extract mission-critical intelligence from massive volumes of unstructured data using AI-driven analytics to identify threats and accelerate decision-making.
Experience Requirements:
Proven experience building distributed systems, data pipelines, or infrastructure
Deep proficiency in at least one modern backend programming language (Python, Rust, Go)
Experience architecting systems that handle diverse data types (text, geospatial, sensor)
Familiarity with container orchestration (Kubernetes) across cloud, edge, and air-gapped environments
Track record of designing and delivering complex platforms
Other Requirements:
National security vetting (UKSV) requirement
Strong systems thinker and collaborative mindset
Growth-oriented engineer who thrives in ambiguity and iterates fast
Comfortable working autonomously and making early design decisions
Responsibilities:
Architect and implement core infrastructure for a high-performance adaptive platform
Build robust, scalable pipelines for ingesting and transforming multimodal data
Design systems for knowledge representation and ontological reasoning
Develop composable services for deployment across cloud, edge, and on-prem
Collaborate with domain experts to understand operational constraints and mission needs
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Senior Marketing Manager
Extract mission-critical intelligence from massive volumes of unstructured data using AI-driven analytics to identify threats and accelerate decision-making.
Experience Requirements:
Extensive experience in B2B marketing, specifically in scale-ups or high-growth tech
Proven experience across product marketing, demand generation, content, and brand
Strong ability to market complex technical products to sophisticated buyers
Experience working with sales teams on long, consultative sales cycles
Experience in defence, government, aerospace, AI, or deep-tech (desirable)
Other Requirements:
Excellent written and verbal communication skills
Strategic mindset with a strong bias toward execution
Familiarity with procurement-driven and security-conscious customers (desirable)
Experience building or scaling a marketing function (desirable)
Responsibilities:
Define and execute the overall marketing strategy aligned to company growth
Own product positioning, messaging, and value propositions for AI technologies
Design and execute integrated campaigns to support pipeline growth
Build a trusted, authoritative brand in the defence and AI ecosystem
Own content strategy across web, presentations, whitepapers, and social channels
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Senior Solutions Consultant
Secure shared devices and eliminate password fatigue for frontline workers using biometric and RFID-based authentication to streamline clinical and industrial workflows.
Benefits:
Growth Opportunities: A defined path to grow within our Pre-Sales organization and beyond
Innovative Environment: Work at the forefront of the identity and access management space
Supportive Culture: Transparent leadership and clear growth boundaries
Competitive Compensation: Market competitive salary and bonus structure
Benefits aligned with a leading tech company
Experience Requirements:
5+ years in Identity and Access Management (IAM) with a proven record in Pre-Sales or Solution Consulting roles
Deep understanding of IAM technologies (SSO, MFA, PAM, IGA) and platforms like Okta, ForgeRock, and Ping Identity
Experienced in integrating IAM solutions with cloud, APIs, and legacy systems
Skilled in designing secure, scalable IAM solutions aligned with client needs
Ability to convey technical concepts clearly to diverse audiences
Other Requirements:
Adept at crafting customized IAM solutions and resolving challenges during Pre-Sales engagements
Strong relationship-building with customers and cross-functional teams
Conduct competitive analysis to understand the strengths and weaknesses of rival solutions
Ability to travel for customer meetings, workshops, and events
Responsibilities:
Act as a technical expert during the Pre-Sales process, demonstrating OLOID’s solutions and articulating technical/business value
Actively support Sales Executives throughout the sales cycle (6-12 months) with technical expertise and strategic guidance
Lead product demos, proof of concepts (PoCs), and technical deep dives
Work with product and engineering teams to feedback on customer needs
Collaborate with Post-Sales teams to ensure a seamless transition from the Pre-Sales phase
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(Senior) Clinical Research Associate (CRA)
Empower life sciences teams with GenAI-powered conversational analytics to transform complex data into actionable insights through an intuitive NLP interface.
Benefits:
CRA Training Program
Virtual learning activities
On-the-job training
Mentorship
Education Requirements:
Bachelor's Degree in scientific discipline or health care preferred
Experience Requirements:
Requires at least 1 year of on-site monitoring experience
Other Requirements:
Good clinical research regulatory requirements knowledge (GCP/ICH)
Written and verbal English skills
Computer skills (Word, Excel, PowerPoint)
Organizational and problem-solving skills
Responsibilities:
Perform site monitoring visits (selection, initiation, monitoring, close-out)
Adapt, drive, and track subject recruitment plan
Administer protocol and related study training to sites
Evaluate quality and integrity of study site practices
Manage regulatory submissions, approvals, recruitment, and enrollment
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Admin Assistant 2
Empower life sciences teams with GenAI-powered conversational analytics to transform complex data into actionable insights through an intuitive NLP interface.
Other Requirements:
Research and compiling data skills
Proactive attitude
Responsibilities:
Research, compile data and compose correspondence
Provide admin assistant support to global central labs
Take initiative in providing back-up support materials for manager
Handling QC review to support labs
Maintain database or track departmental information
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Analyst - Pharma Strategy Consulting
Empower life sciences teams with GenAI-powered conversational analytics to transform complex data into actionable insights through an intuitive NLP interface.
Benefits:
Rewarding career in life sciences consulting
Collaborative work environment
Education Requirements:
Master’s degree preferably in Engineering, Economics or Business
Experience Requirements:
Fresh graduate or maximum 1-3 years’ experience
Other Requirements:
Proficiency in Turkish and business English
Excellent MS Office skills
Willingness to travel
Knowledge of Python or R (plus)
Responsibilities:
Perform quantitative and qualitative analyses for recommendations
Contribute to internal brainstorming for project methodology
Conduct independent desk research
Assist in the preparation and execution of client workshops
Build professional relationships with client teams
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Assistant Brand Manager
Empower life sciences teams with GenAI-powered conversational analytics to transform complex data into actionable insights through an intuitive NLP interface.
Benefits:
Supportive environment
Career development opportunities
Education Requirements:
Degree-level education or equivalent (science degree advantageous)
Experience Requirements:
Minimum of 2 years’ marketing experience
Other Requirements:
Proven record of delivering against KPIs
Financial acumen
Project management experience
Entrepreneurial mindset
Responsibilities:
Manage monthly brand reports and executive summaries
Manage PFME enteral budgets
Deliver brand tactics (newsletters, websites, apps)
Support omnichannel content development (podcasts, webinars)
Assist in digital strategy creation and social media activity
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Assoc Lab Setup Mgr
Empower life sciences teams with GenAI-powered conversational analytics to transform complex data into actionable insights through an intuitive NLP interface.
Education Requirements:
Bachelor's Degree in Science or related field
Experience Requirements:
Minimum 2 years clinical/research industry experience
1 year project management/set up experience
Other Requirements:
Strong interpersonal skills
Computer proficiency with Microsoft Office
Knowledge of Project Management processes
Accuracy and attention to detail
Responsibilities:
Manage the process of designing and launching clinical research studies
Develop database design requirements and configuration
Collaborate with colleagues on project timelines and issues
Manage action/issues logs, status sheets, and timelines
Communicate set-up activities with clients and internal customers
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Growth Marketing Manager
Reduce time-to-insight from months to minutes for life sciences teams with AI-powered agents that manage datasets, build cohorts, and run complex analyses.
Benefits:
Fully supported hybrid work
Comprehensive healthcare, dental, and vision plans
Life insurance and disability coverage
401(k) with company match
12 weeks of paid parental leave
Experience Requirements:
7–8+ years of experience in B2B SaaS marketing, with strong exposure to product marketing and demand generation
Proven experience driving pipeline and revenue through solution- or product-led GTM programs
Other Requirements:
Ability to translate complex, technical platforms into clear, compelling buyer narratives
Strong analytical mindset with comfort owning goals, metrics, and reporting tied to pipeline impact
High-agency operator who can lead initiatives end to end with minimal oversight
Comfort making decisions in ambiguous environments and moving quickly without perfect information
Curiosity and enthusiasm for AI, experimentation, and building new GTM muscles alongside emerging technology
Responsibilities:
Own the positioning, messaging, and go-to-market execution for Manifold’s core solutions, from narrative development to pipeline activation
Develop and execute multi-channel GTM programs that drive demand for prioritized solutions, including campaigns, events, content, and sales enablement
Partner closely with Sales to ensure solutions are clearly understood, consistently sold, and tied to measurable pipeline and revenue outcomes
Translate platform capabilities into buyer-led solution narratives that clearly articulate value, differentiation, and business impact
Support solution launches and expansions by aligning messaging across marketing, sales, partnerships, and the website
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Senior Autonomous Data Systems Engineer
Streamline CAPEX procurement by using AI to match technical specifications with industrial equipment from over 32,000 verified global manufacturing suppliers.
Benefits:
Full ownership
Freedom to choose tools and patterns
Small, focused, AI-augmented team environment
Opportunity to shape the future of manufacturing data at planetary scale
Experience Requirements:
5+ years in software engineering, ideally with standalone service builds
Experience with building scalable schemas and ingestion
Strong background in web scraping/data pipelines (ETL, Airflow, similar)
Demonstrated expertise in using AI tools/workflows to accelerate development responsibly
A mix of technical depth, curiosity, and the ability to go deep or pivot quickly
Other Requirements:
Excellent communication, autonomy, and a growth mindset
Experience in manufacturing tech, marketplaces or hardware sourcing
Experience with a Next.js, Tailwind and PostgreSQL stack
Familiarity with web scraping at scale
Responsibilities:
Lead AI-powered data warehousing of manufacturing equipment information
Architect a data store to represent (almost) every product and OEM globally
Build ingestion pipelines from internal and external sources
Develop internal web UIs for data review & curation
Expose clean APIs for other services to sync with and build from
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Client Partner / Customer Success Manager (Australia)
Transform vehicle inspections and claims with an AI-powered agent that predicts repair costs, detects fraud, and automates total loss decisions for fleets and insurers.
Benefits:
Company events, tours, trips, and celebrations
Training programs for personal and professional development
Meal allowance every month
Flexible working hours and location
Competitive salary
Experience Requirements:
5+ years of relevant working experience as a Client Partner
Experience developing relationships with C-Levels and stakeholders
Experience with AI-driven or technical solutions
Experience selling software solutions in the motor insurance industry
Experience closing multi-million dollar enterprise software deals
Other Requirements:
Strong verbal, written, and presentation skills
Ability to work independently and manage multiple priorities
Willingness to travel within Australia and APAC up to 50% of the time
Responsibilities:
Drive revenue growth by managing customer relationships
Strengthen relationships across client organizations
Develop and execute strategic account plans
Collaborate with internal teams for tailored solutions
Maintain high levels of customer satisfaction
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Project Manager Tech and Delivery
Transform vehicle inspections and claims with an AI-powered agent that predicts repair costs, detects fraud, and automates total loss decisions for fleets and insurers.
Benefits:
Company events, tours, trips, and celebrations
Training programs
Meal allowance every month
Flexible working hours
Cutting edge technological environment
Experience Requirements:
3-5 years of Software/Integration projects (Customer facing)
Hands-on experience in integration of frontend, backend, and infrastructure
Experience with project management tools
Other Requirements:
Great interpersonal and communication skills
Problem solver and analytical skills
Native English language level
Sales oriented
Responsibilities:
Play major part in pre-sale and post-sale processes
Translate business requirements into technical elements
Ensure SOW is delivered within budget and timelines
Hands-on involvement in system integration
Manage technical communication with clients
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