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Location: Klang, Malaysia Our Client Our client is a Singapore-based multinational food and beverage company specializing in the production and distribution of instant beverages, particularly coffee mixes and non-dairy creamers. With a strong presence across Asia, Eastern Europe, and other emerging markets, the company focuses on delivering affordable, mass-market products while continuously optimizing cost efficiency and product formulations. Its operations are supported by manufacturing facilities, including in Malaysia, and it actively competes with Chinese producers by exploring innovations in ingredients and production processes to maintain competitiveness in pricing and quality. The Role The National Sales Manager (Malaysia) will effectively act as the Country Head for Sales & Marketing , with full responsibility for developing the Malaysian commercial business. Based in/around Port Klang , the role will have significant autonomy and will focus primarily on modern trade, building relationships with key retail accounts, driving revenue and profitability, and establishing the local sales team. This is a hands-on, entrepreneurial role for someone who can build a business rather than simply manage an established sales organisation. Responsibilities Own and drive the sales and marketing strategy for Malaysia , with a strong focus on modern trade. Develop and manage relationships with major supermarket, convenience and retail accounts. Leverage an existing network of key buyers and decision-makers across the Malaysian market. Manage revenue, profitability, pricing, promotions and marketing spend with a strong P&L mindset. Identify opportunities to expand market coverage, products and customer channels. Develop sales forecasts and work closely with the manufacturing team to ensure appropriate production, raw materials and supply. Build and lead the Malaysian sales organisation, including hiring and developing junior account managers as the business grows. Monitor performance and provide regular business updates to senior management. Requirements 10-15 years of FMCG sales experience , with flexibility for exceptional candidates outside this range. Strong background in food & beverage FMCG is essential. Experience with ambient/dried packaged food such as coffee, tea, snacks, biscuits or similar products is highly preferred. At least 2 years of genuine senior-level sales leadership experience , ideally 3-5+ years. Previous experience as a Head of Sales, National Sales Manager, Sales Director or equivalent is highly preferred. Strong existing network and relationships with modern trade/key retail accounts in Malaysia . Demonstrated understanding of pricing, promotions, revenue and profitability , ideally with P&L ownership. Commercially sharp, creative, self-motivated and comfortable working with significant autonomy. Strong communication and presentation skills, with the confidence to engage senior-level customers independently. Fluent English is mandatory; Malay is a plus. Must be a Malaysian national / already authorised to work in Malaysia . Willingness to travel extensively across Malaysia based on business needs. Benefits Opportunity to build the Malaysian sales and distribution business from the ground up . High level of autonomy and flexibility in managing customers, travel and commercial activities. Direct exposure to and collaboration with senior regional leadership . Opportunity to build and lead the future Malaysian sales team . Significant ownership across sales, marketing, revenue and profitability , rather than a narrow account-management remit. Competitive, market-based compensation with a performance-driven bonus scheme . Flexible working arrangement rather than a traditional 9-to-6 office-based sales role.

Location: Hamburg, Germany Role Overview Our client is a growing European cruise operator known for its no-fly cruises departing from UK and European homeports. Building on this foundation, they are launching a new German-speaking brand — and are seeking a Commercial Director to establish and lead it. This is a rare opportunity to build a cruise business from the ground up. The successful candidate will be responsible for developing the German market, establishing the local organisation, building strong distribution partnerships and leading the successful launch and long-term growth of the business. Key Responsibilities Reporting to the UK Executive Team, the Commercial Director will act as the senior representative and public face of our client in Germany. Working closely with specialist teams across Finance, Marketing, Revenue Management, Operations, Customer Service and Legal, the role is primarily focused on commercial leadership, business development and market growth rather than technical functional expertise. The successful candidate will be an entrepreneurial leader who enjoys building businesses, developing relationships and creating high-performing teams. They will combine strategic thinking with a practical, hands-on approach and be comfortable operating within a fast-moving international organisation. Strategic Leadership Develop and execute the German market-entry strategy in alignment with the Group’s objectives. Prepare and maintain the German business plan, including commercial, operational and financial priorities. Lead the establishment and development of the german branch from start-up through launch and into commercial maturity. Identify growth opportunities, strategic partnerships and relevant customer segments. Provide market intelligence and strategic insight to the UK Executive Team. Represent or client at industry events, trade shows, conferences and media engagements. Establish the company as a credible and respected participant in the German cruise market. Act as the principal link between the German business and the UK Executive Team. Launch Programme Leadership Lead the German market launch programme and coordinate the local delivery of all relevant workstreams. Develop and maintain an integrated launch plan with clear milestones, dependencies and accountabilities. Coordinate activity across commercial, marketing, finance, legal, technology, customer service and operational teams. Ensure that the business is ready to accept bookings, support customers and operate successfully within the agreed timetable. Identify launch risks and ensure appropriate mitigation and escalation. Support the planning and delivery of the formal market launch, including ITB Berlin and other key trade events. Ensure that the German organisation, customer proposition and distribution network are in place prior to ITB Berlin in March 2027. Commercial and Sales Leadership Lead the development and performance of all German sales channels, including the travel trade, direct sales and online distribution (in conjunction with the UK digital team). Deliver annual revenue, passenger volume, occupancy and yield targets. Build long-term relationships with German travel agency groups, co-operatives, cruise specialists, tour operators and online partners. Develop the trade sales strategy, commission framework and partner-support model. Lead negotiations with key commercial and distribution partners. Work closely with UK Digital team to develop the direct sales proposition, including the website, contact centre, CRM and digital acquisition channels. Provide market input into itinerary planning, product design, launch timing and pricing strategy. Work closely with UK revenue management teams to optimise pricing, inventory and promotional activity. Monitor market performance, competitor activity, customer trends and distribution developments. Identify and manage relevant charter, group and partnership opportunities. Ensure that commercial activity supports both short-term launch objectives and long-term brand value. Business Operations Establish and oversee the day-to-day operation of the German office. Ensure effective processes, governance and communication between the German business and UK Head Office. Coordinate local business readiness across all customer-facing and support functions. Maintain high standards of pre-cruise and post-cruise customer service. Ensure the German customer journey is appropriately localised, including language, documentation, payment processes and communications. Manage local suppliers, professional advisers and service providers appointed by the group. Work with the Group’s operational teams to support homeport readiness, embarkation arrangements and local port relationships. Provide appropriate sailing-day and in-season support to the ship and onboard management team. Ensure that local operational issues are resolved quickly and effectively. Financial Leadership Deliver the agreed commercial and financial objectives for the German business. Develop annual budgets and forecasts in partnership with the UK Finance team. Monitor business performance against agreed revenue, profitability and budget targets. Support the implementation of local banking and payment arrangements where required. Provide regular commercial and operational reporting to the UK Executive Team. Ensure the German business operates within agreed financial governance and delegated authority. Regulatory and Compliance Ensure the German business operates in accordance with applicable travel, consumer and employment legislation. Work closely with specialist legal, tax and compliance advisers appointed by the Group. Support the implementation of DRSF and other regulatory requirements within the German operation. Ensure local customer processes and communications reflect agreed legal and regulatory standards. Escalate significant legal, regulatory or reputational issues to the UK Executive Team as appropriate. People Leadership Recruit, lead and develop a high-performing German team. Working closely with the UK Executive team, determine the appropriate local organisational structure and recruitment priorities. Establish clear objectives, responsibilities and standards of accountability. Create a collaborative, entrepreneurial culture aligned with our client's values. Ensure effective cooperation between German employees and central Group functions. Develop local capability while making appropriate use of shared services and Group expertise. Drive employee engagement, development and retention. Act as a visible and credible leader for the German organisation. Brand and Marketing Leadership Act as guardian of our client's brand in Germany. Lead the development of a distinctive German market positioning and customer proposition. Ensure that the brand is credible, relevant and differentiated within the German cruise market. Oversee the local marketing strategy in partnership with central marketing teams. Support the development of brand identity, campaigns, customer communications and launch activity. Ensure consistency across trade, consumer, digital, PR and onboard communications. Build relationships with German travel media, consumer media and industry influencers. Drive brand awareness, customer acquisition and repeat business. Ensure that the German guest proposition is reflected consistently across the booking journey and onboard experience. Stakeholder Management Build trusted relationships with the UK Executive Team and Group functional leaders. Establish strong relationships with key travel-trade partners and industry organisations. Represent the business with homeports, port authorities, tourism organisations and local stakeholders. Develop appropriate relationships with CLIA Germany and other relevant industry bodies. Assist the UK team where required with local relationships such as DRSF, legal advisers, tax advisers, banking partners and professional-service firms. Act as a senior spokesperson for our client with customers, partners and the media. Protect and enhance the reputation of our client. Requirements Significant senior leadership experience within the cruise, tour operating, travel distribution, tourism or premium hospitality sectors. Cruise industry experience is highly desirable. Strong commercial leadership with a demonstrable record of growing revenue, developing partnerships and delivering profitable growth. Experience launching or developing a new business, brand, market or product would be advantageous. Strong understanding of the German travel market and distribution landscape. Experience building and leading high-performing, multi-functional teams. Commercial responsibility for a business or business unit, including budgets and financial performance. Excellent negotiation, influencing and stakeholder management skills. Experience working with executive leadership teams within an international business. Fluent German and English, both written and spoken. Strong strategic thinking, commercial judgement and decision-making ability. Personal Attributes Entrepreneurial and commercially driven. Passionate about building a successful business. Strong leadership presence with the ability to inspire confidence. Comfortable operating in a start-up environment. Highly collaborative and relationship focused. Decisive, pragmatic and resilient. Hands-on and willing to get involved in the detail when required. Excellent communicator with strong influencing skills. Customer focused with a passion for delivering exceptional experiences. High levels of integrity, professionalism and personal accountability. Key Performance Measures Performance measures will evolve as the business moves from establishment through launch and into operation. They are expected to include: Delivery of agreed market-entry and launch milestones. Successful establishment of the German business and local team. Readiness of the booking, distribution and customer-service operation. Revenue, passenger volume, occupancy and yield performance. Development of national travel-trade distribution. Achievement of budget and profitability targets. Brand awareness and customer-acquisition performance. Customer satisfaction, service quality and repeat-booking measures. Employee engagement, capability and retention. Quality of stakeholder, industry and partner relationships. Successful delivery of the maiden season and subsequent growth plan. This is a highly visible leadership position offering genuine autonomy, broad responsibility and the opportunity to establish a distinctive new entrant in the German cruise market.

Location: Germany; Spain; Portugal; Croatia; Greece; France Who are we? We’re Avomind - a go-to firm to hire commercial, strategy, and analytics & insights talent globally. Our global network - serviced from Berlin, Barcelona, Toronto and Jakarta- is set to support clients expanding internationally. We provide our clients with unlimited access to our network and offer custom recruitment, embedded hiring, and talent branding services. Speed is our core value - expect a first project input within 24 hours. 75% of hired candidates are part of the first week’s batch, which we deliver on a project basis. Our team is diverse and international (we speak 16 languages). What are we looking for? We want to grow our Business Development & Sales team, and we need your drive to get new business. What will you be doing daily? Conduct market research and competitor analysis to identify potential new business opportunities, focusing on startups, consultancies, and fast-growing firms. Organize your leads and target prospects, using Excel and LinkedIn as your main tools. Develop and implement sales and business development strategies, processes, and best practices globally. Prepare marketing materials such as pitch decks and client presentations. Conduct discovery sessions and build strong relationships with potential clients. Convince and win over clients! We would love to hear from you if: You have 2-4 years of experience in B2B Business Development or Sales, stronger preference for experience within professional services industry. You have a successful track record of winning clients, especially expanding scale-ups, private equity portfolio companies, strategy consulting firms. You see opportunity and have the drive to get things done You love working with a lot of autonomy Fluent in English; German is a major plus We can’t wait to meet you!

Location: United Kingdom; Ireland, United Kingdom The Company Our client is a progressive global plastic recycling business with three distinct divisions: (1) Plastic Recycling; (2) Recycled Supply Chain Management; and (3) Recycled & Waste Plastic Feedstock. Their expert global team combine impressive technical knowledge and capability with a passion for recycling and the circular economy. Our client is passionate about transforming waste into a valuable commodity, buying, selling and recycling scrap plastic. Since our client started on their journey in 2005, they have developed a worldwide presence, serving hundreds of customers in over 50 countries. They have grown a strong, talented team who are highly trained, dedicated and loyal. They are headquartered in Hong Kong with operations and representation in Australia, Finland, Ireland, Turkey, Spain, Netherlands & UK. They operate a factory based in the UK specialising in the collection and recycling of plastic waste generated from industry and manufacturing. The Role You’ll ensure waste plastic materials meet the quality standards our customers rely on. This is a hands-on, field-based role where you’ll: Inspect materials at supplier sites and during loadings. Collect samples, perform tests, and analyse results. Identify risks, contamination, and quality issues. Work closely with commercial teams to protect customer outcomes. Travel 3–4 days per week and manage your own schedule. Requirements Knowledge (Education & Related Experience) At least 5 years of experience in Quality Assurance, Quality Control, Quality Inspector, Procurement, Inspection, or similar. At least 3 years of experience working in the field. Driving license required and able to travel overnight. Skills & Abilities Multilingual (fluent English is a requirement). Able to use logic and reasoning to appraise situations. Able to anticipate opportunities and risks. Able to build rapport quickly with colleagues and customers. Able to negotiate effectively with customers to maximise margins. Able to effectively collaborate with colleagues to achieve results. Able to manage and respond quickly to changing/competing priorities . Highly organized, able to independently plan own time. Able to follow internal procedure & policy (CRM, Admin, Trial Policies, Customer Onboarding). Able to present and clearly communicate information in speaking and writing. Able to ensure tasks are completed on time and to a high-standard. Able to use Excel, Outlook, Word and other MS Office products with high level of proficiency. Able to undertake effective research. You’ll Be Great If You Are: Hands-on and comfortable working in the field. Curious, investigative, and detail-oriented. Confident having tough conversations on quality. Organized and able to manage your own time. Driven to learn and grow in a fast-paced environment. Benefits Learn plastic recycling from the ground up. Extensive technical training (lab + field testing). Real career progression into commercial, technical, or training paths. Work in a growth industry with global exposure. High autonomy and responsibility from day one.

Location: Canada; Spain; Portugal; Netherlands; United Kingdom; Germany Our client is a modern survey programming company that empowers consultants and investors to get deep insights faster. They specialize in time-critical market research surveys, enabling clients to quickly build surveys and access actionable, high-quality data. Their fully remote team spans over 40 cities worldwide, and their leadership comes from top consulting and investment backgrounds. The Revenue Operations Manager will play a central role in building and maintaining the organization's analytical and reporting framework. Reporting to our Chief of Staff and working closely with regional executives and the Group CEO, you will drive operational excellence by surfacing data-driven insights. You will partner closely with the Leadership Team and stakeholders across each global region to understand win/loss trends, key customer insights, marketing performance, and overall go-to-market efficiency. You will also be responsible for managing the underlying systems and data infrastructure necessary to generate meaningful insights, improve business processes, and support strategic decision-making. Requirements Key Responsibilities Strategy Collaboration: Collaborate closely with the leadership team to assess and evaluate potential revenue initiatives based on historical business performance. Ensure the necessary infrastructure is in place to execute, measure, and optimize selected revenue strategies. Demand Generation Optimization: Provide recurring briefings to the leadership team on the effectiveness of demand generation efforts (e.g., outbound campaigns), identifying top-performing approaches and opportunities for continuous improvement. Growth Performance & Analytics: Develop and maintain dashboards that track key growth objectives. Lead quarterly win/loss analyses and provide actionable recommendations based on performance trends. Marketing Performance Analytics: Partner closely with Marketing leadership to build dashboards and measure the success of marketing initiatives, campaigns, content assets, and other demand generation activities, providing insights to improve future performance. Process Optimization: Audit and optimize existing revenue processes while designing and implementing new workflows that improve operational efficiency and cross-functional alignment. Cross-Functional Engagement: Work closely with stakeholders across Sales, Marketing, Finance, and other departments to solve Revenue Operations challenges, prioritize requests, and drive alignment across the organization. Technology & Systems: Serve as the internal owner and subject matter expert for HubSpot and other revenue technology platforms, ensuring clean, accurate, and reliable data. Design and implement new fields, workflows, automations, and integrations that improve CRM adoption, GTM execution, reporting, and collaboration with Finance, including invoicing and revenue-related processes. Revenue Technology Innovation: Continuously evaluate the Revenue Operations technology landscape, identifying opportunities to integrate AI tools and other complementary software that enrich CRM data, improve reporting, automate workflows, and enhance operational efficiency. Benefits Qualifications ● 5+ years of experience in Revenue Operations, Sales Operations, or a related field. ● Strong experience with HubSpot is highly preferred. Candidates with extensive experience using other CRMs will also be considered if they can demonstrate the ability to quickly learn and manage a complex HubSpot environment. ● Experience with data enrichment tools and LinkedIn. ● Proven ability to build and optimize Revenue Operations infrastructure, reporting, and sales and marketing KPIs. ● Experience supporting outbound-driven demand generation organizations, including systems used for sequencing, prospecting, and outbound performance measurement. ● Experience supporting technology-enabled sales organizations. ● Experience with market segmentation, including both complex enterprise sales motions and shorter, project-based sales cycles. ● Excellent cross-functional communication and stakeholder management skills. ● Strong project management skills with the ability to prioritize multiple initiatives simultaneously. ● Highly analytical, data-driven, and detail-oriented. ● Curious, proactive, and continuously looking for opportunities to improve systems and processes. ● Highly organized with excellent execution skills.

Location: Ho Chi Minh City, Vietnam About Our Client Our client is a well-established medical technology and healthcare distribution company committed to providing clinically proven, safe, effective, and high-quality products to healthcare professionals. Since its establishment, the company has focused on introducing advanced medical technologies and skincare solutions to the market while maintaining high standards of quality and customer service. With a strong presence across multiple countries in the region, our client serves a broad network of clinics, hospitals, and healthcare providers through an extensive distribution network, supported by long-term partnerships and a commitment to innovation. Job Description Our client is looking for a Product Manager to manage the execution of the organization's branding and marketing efforts. This includes managing the organization's brand image, digital marketing communications, and promotional campaigns. The Product Manager leverages market research on brand awareness, market trends, and target buyer and seller landscapes to enhance promotion of the organization's product and service offerings. In addition, the Product Manager collaborates with regional teams to compare geographical trends and share ideas on various promotions and offerings. Analytical and innovative, the Product Manager leverages data analytics to identify key market trends and develops successful digital marketing programs and initiatives. The Product Manager networks extensively outside of the office to stay in close contact with key industry stakeholders, constantly looking out for new marketing opportunities. Key Responsibilities Develop and execute comprehensive product marketing and brand strategies to promote the company's portfolio of medical aesthetic products. Develop and implement integrated marketing plans aligned with overall business and product objectives. Conduct market research and competitor analysis to identify market trends, customer preferences, emerging opportunities, and competitive activity. Develop target customer profiles and identify opportunities to improve customer engagement and product positioning. Develop and execute digital and social media marketing strategies to increase brand visibility, reach, and engagement across relevant platforms. Plan and manage marketing campaigns across digital, social media, print, and other relevant channels. Work closely with Sales and other cross-functional teams to align marketing initiatives with commercial objectives and customer needs. Support the development and execution of new product launches, product promotions, and go-to-market initiatives . Develop marketing communications and content initiatives that effectively communicate product benefits and value propositions. Build and maintain strong relationships with key opinion leaders (KOLs), healthcare professionals, influencers, agencies, and other relevant industry partners . Monitor marketing KPIs and campaign performance, analyse relevant data, and recommend improvements to optimize effectiveness and ROI. Work with external vendors, creative agencies, and other partners to execute marketing initiatives and campaigns. Identify opportunities to leverage new digital marketing tools, platforms, and technologies to improve marketing effectiveness. Ensure marketing activities and product communications are aligned with relevant industry regulations and compliance requirements . Requirements Bachelor's degree in Marketing, Business Administration, Communications, or a related field . Proven experience in product marketing, brand marketing, or marketing , preferably within the medical aesthetics, healthcare, medical devices, skincare, pharmaceutical, or related industries . Experience developing and executing integrated marketing campaigns across digital and offline channels. Strong understanding of digital and social media marketing , with hands-on experience managing relevant marketing channels. Strong analytical skills with the ability to interpret market and campaign data and translate insights into actionable strategies. Experience in product launches, go-to-market initiatives, or product promotion is highly preferred. Strong communication, presentation, stakeholder management, and interpersonal skills. Experience working with KOLs, healthcare professionals, influencers, or industry partners is an advantage. Knowledge of regulatory and compliance requirements within the medical aesthetics or healthcare industry is a plus. Creative and strategic thinker with strong attention to detail and a results-oriented mindset. Comfortable working in a fast-paced and dynamic environment with the ability to manage multiple priorities and meet deadlines. Why choose our client? Supportive workplace culture Excellent exposure with continuous learning opportunities Clear paths for career growth and advancement

Location: Vietnam The Company Our client is a financial technology (FinTech) company specifically focused on bridging the gap between man and machine when it comes to investing. They are building an AI-driven trading and investing platform covering stocks, futures, forex, and crypto. They develop quantitative strategies, portfolio models, copy trading solutions, and low-latency execution systems. Our client aims to be the world's most trusted AI trading platform where sophisticated market intelligence meets effortless execution, enabling every trader to compete with institutional-level strategies while maintaining full control over their investment decisions. The Role Our client is seeking a Senior Quantitative Developer to design, build, test, and deploy systematic trading strategies. The ideal candidate combines strong software engineering skills with quantitative finance and algorithmic trading experience. Key Responsibilities Develop and maintain quantitative trading strategies. Build backtesting, optimization, and portfolio construction frameworks. Implement walk-forward analysis, Monte Carlo testing, and robustness validation. Work with market data including equities, futures, forex, and crypto. Integrate machine learning models into trading workflows. Collaborate with Java execution and platform engineering teams. Deploy research into production trading environments. Monitor strategy performance and improve risk-adjusted returns. Success Metrics Build 100+ validated strategy candidates annually. Develop production-grade research infrastructure. Improve portfolio Sharpe ratio and reduce drawdowns. Create scalable AI-driven trading models. Requirements 5+ years Python development experience. Strong knowledge of Pandas, Polars, NumPy. Experience with VectorBT, Backtrader, or QuantConnect LEAN. Strong statistics and quantitative finance knowledge. Portfolio optimization and risk management experience. Experience with futures, forex, equities, or crypto trading. Knowledge of PostgreSQL, TimescaleDB, and cloud environments. Git, Docker, CI/CD experience. Preferred Skills Machine learning (XGBoost, LightGBM, PyTorch). FIX protocol knowledge. Interactive Brokers, Alpaca, or LMAX integrations. Java or C++ exposure. Experience with institutional trading systems. Benefits Competitive salary. Performance bonus. Stock options/equity consideration. Opportunity to work on a global AI trading platform.

Location: United States; Canada The Revenue Operations Manager will play a central role in building and maintaining the organization's analytical and reporting framework. Reporting to our Chief of Staff and working closely with regional executives and the Group CEO, you will drive operational excellence by surfacing data-driven insights. You will partner closely with the Leadership Team and stakeholders across each global region to understand win/loss trends, key customer insights, marketing performance, and overall go-to-market efficiency. You will also be responsible for managing the underlying systems and data infrastructure necessary to generate meaningful insights, improve business processes, and support strategic decision-making. Key Responsibilities Strategy Collaboration: Collaborate closely with the leadership team to assess and evaluate potential revenue initiatives based on historical business performance. Ensure the necessary infrastructure is in place to execute, measure, and optimize selected revenue strategies. Demand Generation Optimization: Provide recurring briefings to the leadership team on the effectiveness of demand generation efforts (e.g., outbound campaigns), identifying top-performing approaches and opportunities for continuous improvement. Growth Performance & Analytics: Develop and maintain dashboards that track key growth objectives. Lead quarterly win/loss analyses and provide actionable recommendations based on performance trends. Marketing Performance Analytics: Partner closely with Marketing leadership to build dashboards and measure the success of marketing initiatives, campaigns, content assets, and other demand generation activities, providing insights to improve future performance. Process Optimization: Audit and optimize existing revenue processes while designing and implementing new workflows that improve operational efficiency and cross-functional alignment. Cross-Functional Engagement: Work closely with stakeholders across Sales, Marketing, Finance, and other departments to solve Revenue Operations challenges, prioritize requests, and drive alignment across the organization. Technology & Systems: Serve as the internal owner and subject matter expert for HubSpot and other revenue technology platforms, ensuring clean, accurate, and reliable data. Design and implement new fields, workflows, automations, and integrations that improve CRM adoption, GTM execution, reporting, and collaboration with Finance, including invoicing and revenue-related processes. Revenue Technology Innovation: Continuously evaluate the Revenue Operations technology landscape, identifying opportunities to integrate AI tools and other complementary software that enrich CRM data, improve reporting, automate workflows, and enhance operational efficiency. Qualifications 5+ years of experience in Revenue Operations, Sales Operations, or a related field. Strong experience with HubSpot is highly preferred. Candidates with extensive experience using other CRMs will also be considered if they can demonstrate the ability to quickly learn and manage a complex HubSpot environment. Experience with data enrichment tools and LinkedIn. Proven ability to build and optimize Revenue Operations infrastructure, reporting, and sales and marketing KPIs. Experience supporting outbound-driven demand generation organizations, including systems used for sequencing, prospecting, and outbound performance measurement. Experience supporting technology-enabled sales organizations. Experience with market segmentation, including both complex enterprise sales motions and shorter, project-based sales cycles. Excellent cross-functional communication and stakeholder management skills. Strong project management skills with the ability to prioritize multiple initiatives simultaneously. Highly analytical, data-driven, and detail-oriented. Curious, proactive, and continuously looking for opportunities to improve systems and processes. Highly organized with excellent execution skills. Operates with a high degree of self-initiative and a strong ownership mindset; proactively identifies gaps and opportunities rather than waiting for tasks to be assigned

Location: Munich, Germany Our Client Our client designs intuitive solutions that automate HR and administrative processes, giving thousands of companies across Europe more time and energy for what really matters: their people and their business. With a growing international team of more than 800 employees across Germany, France, Spain, and Switzerland, and thousands of customers worldwide, they combine the agility of a fast-growing company with the stability of an established European player. Our client values transparency, autonomy, high standards, and a collaborative working environment where employees are encouraged to take ownership and make an impact. Job Description In order to continue their expansion in the German market, they are looking for a Partner Manager to join their team in Munich. Purpose of the job: Launch and grow their’s alliance network in Germany from the ground up. Cultivate and activate a thriving ecosystem bringing together Tax Advisors (Steuerberater), Business Consultants, and Technology Partners. Act as the crucial link between local market opportunities and the Global Alliances team at HQ. Details of the tasks: Strategy Co-Ownership & Ecosystem Architecture Partner with the global Alliances team at HQ to adapt the overarching partnership playbook to the specific cultural and legal context of the German Mittelstand. Map, approach, and onboard key channel partners: Tax Advisors (Steuerberater) targeting digitally mature, mid-sized Kanzleien, HR & Digital Transformation Consultants, and Value-Added Resellers & Tech Partners. Maximize our visibility through partnerships with agile SaaS technology providers and integrators. Maximize the DATEV Partnership Position our client as a premier integrated solution for DATEV users (DATEV Lodas, Lohn und Gehalt). Foster an active, loyal community of Tax Advisors by demonstrating how our client’s pre-payroll export and specialized features eliminate their manual operational drag. Channel Lead Transfer & Revenue Operations Actively own and execute the channel lead transfer process, fueling the pipeline for the German sales team. Monitor partner pipeline velocity, tracking metrics such as Qualified Lead Volume (QLV) generated via partners and partner-led conversion rates. Maintain meticulous CRM data hygiene (Salesforce), setting up efficient workflows with the Operations team to track partner touchpoints, co-marketing events, and revenue attribution. Partner Enablement & Network Animation Conduct high-impact product demonstrations, build localized partner enablement assets (presentations, joint-value case studies), and address technical/regulatory queries. Collaborate with Marketing to prepare and co-host regional partner events, webinars, user clubs, and major HR trade shows (e.g., Zukunft Personal) Requirements You have 3 to 6 years of proven success in B2B SaaS Channel/Alliance Management or Sales and Account Management in Germany. Prior exposure to the HR Tech, payroll operations, or HRIS landscape is highly appreciated. A solid understanding of the German tax advisor (Steuerberater) network or software integrations with DATEV is a huge competitive advantage. Native-level fluency in German (C2) and professional proficiency in English (C1/C2) are mandatory. Clear and structured oral and written communication. Intellectual curiosity, exceptional active listening skills, and a deeply collaborative team spirit. Comfortable in a fast-paced environment, recovering quickly from setbacks and seeing challenges as opportunities Selection process (in German and English) Step 1: HR Interview Step 2: Country Manager Interview Step 3: Case Study Step 4: Final Interview Benefits Transparency & autonomy – A culture built on trust, where everyone is encouraged to take ownership, share ideas, and make an impact High standards & ambition – A challenging environment where excellence is valued and everyone is motivated to continuously improve Collaborative mindset – A team culture where knowledge sharing, support, and collective success are at the heart of the way we work. Opportunities to connect - company seminars, team-building activities, welcome events for new new employees, introductory lunches Deutschlandticket – 75% of your subscription covered. Wellpass subscription – discounted access to sports, fitness and activities. Pet-friendly office – feel free to bring your furry friends to work. Remote-friendly work policy – remote work possible after onboarding, either occasional or hybrid

Location: Berlin, Germany About the Company Our client is an international manufacturer of urban infrastructure and public environment solutions with a strong presence across Northern Europe. Germany is one of the company's key strategic growth markets as it pursues an ambitious expansion plan to become the leading Northern European player in urban furniture and public environment solutions. As Commercial Director Germany , you will take full ownership of the commercial business in Germany, leading sales, marketing, and commercial development while driving long-term profitable growth. Building on the company's established presence in the market, you will leverage the broader Group's product portfolio, manufacturing capabilities, and expertise to accelerate growth. This is a hands-on leadership role where you will lead the commercial team while actively developing key customers, winning major projects, and expanding the business. It is an excellent opportunity for an entrepreneurial commercial leader who enjoys building markets, creating long-term customer relationships, and making a direct impact. What you will do Develop and execute the commercial growth strategy for Germany, driving profitable sales growth, order intake, and margin development. Lead, coach, and develop the local commercial team with clear objectives, accountability, and a strong performance culture. Personally develop key accounts, win new customers, and lead major commercial opportunities. Build and implement a modern, systematic sales process using CRM as the foundation for pipeline management, forecasting, and customer development. Identify new customer segments, strategic partnerships, and market opportunities to accelerate growth. Strengthen long-term relationships with municipalities, public sector organizations, transport authorities, construction and infrastructure companies, landscape contractors, architects, planners, and other key stakeholders. Lead complex project sales, including public tenders, procurement processes, and consultative solution selling. Drive cross-selling across the wider Group portfolio, expanding opportunities with existing and new customers. Take ownership of the German marketing activities together with the international marketing team to support lead generation and commercial growth. Collaborate closely with international colleagues across sales, product management, marketing, sourcing, and production. Bring customer and market insights into Group-level product development and commercial decision-making. What you bring Proven track record of successful B2B sales and delivering profitable growth within the German market. Experience leading, coaching, and developing commercial or sales teams. Strong understanding of modern B2B sales processes, CRM, pipeline management, and sales forecasting. Hands-on, energetic, and entrepreneurial mindset—you enjoy being in front of customers as much as leading a team. Strong commercial acumen with experience in pricing, margin management, and complex negotiations. Experience within construction, infrastructure, urban furniture, public environment solutions, public transport, or comparable project-based industries. Experience managing long sales cycles, public tenders, procurement processes, and consultative solution selling. Demonstrated ability to build markets, develop new customer relationships, and convert opportunities into sustainable business. Existing network within municipalities, infrastructure, construction, architecture, landscape planning, or related industries is a strong advantage. Native-level German and professional English communication skills. Why join? Join at a pivotal stage in the company's growth, with Germany playing a central role in its long-term strategy. Take on a highly visible leadership position with real influence, ownership, and the freedom to shape the commercial direction of the German business. Be backed by an established international Group with strong brands, complementary product portfolios, in-house manufacturing capabilities, and decades of industry expertise. Enjoy an entrepreneurial environment with short decision-making paths, where ideas turn into action quickly. Benefit from a competitive compensation package, performance-based incentives, and comprehensive benefits while helping shape the future of a growing international business.

Location: Indonesia; Malaysia; Thailand; Philippines; Vietnam; Myanmar Who are we? Avomind is a global recruitment company specializing in commercial, strategy, analytics, operations, and technology talent. We help fast-growing companies scale internationally by connecting them with driven, high-potential professionals who can make real impact. Speed and quality are at the core of how we operate. We work with companies entering new markets, scaling rapidly, or searching for highly specialized talent with unique requirements. Our team is global and fully remote, operating across Berlin, Barcelona, Toronto, and Jakarta. We support clients worldwide across key growth regions: Europe: Go-to-market, strategy, and commercial roles across Germany, France, Spain, the Nordics, and the Netherlands. USA: Professional services, investment, eCommerce, and life sciences roles across major US markets. Asia: Supporting companies across Singapore, Hong Kong, China, Indonesia, Malaysia, and India — particularly those expanding into new markets. Our proprietary network includes partnerships with over 200 leading academic institutions worldwide, including top-tier MBA programs, enabling us to access exceptional global talent. About the Role We are looking for an experienced and proactive CRM Manager to build and lead our customer relationship management function from the ground up. This is an exciting opportunity for someone who thrives in a fast-paced environment, enjoys creating scalable processes, and is passionate about leveraging CRM to drive customer engagement, retention, and business growth. As our CRM Manager , you will own the CRM strategy, implementation, and optimization, establishing the systems, workflows, and best practices that will support our long-term commercial success. Key Responsibilities Build and scale the company's CRM function from scratch (0 to 1), including strategy, processes, and technology. Own the implementation, configuration, and ongoing optimization of the CRM platform. Develop and execute CRM initiatives that improve customer acquisition, engagement, retention, and lifecycle management. Design and automate customer journeys, lead nurturing programs, and communication workflows. Partner closely with Business Development, Marketing, and Operations to ensure CRM supports business objectives. Maintain high standards of CRM data quality, governance, and reporting. Develop dashboards and performance metrics to monitor pipeline health, customer engagement, and campaign effectiveness. Identify opportunities to improve customer experience through CRM insights and automation. Train internal members on CRM best practices and encourage adoption across the organization. Requirements 3–5 years of hands-on CRM experience, ideally with end-to-end ownership of CRM initiatives. Experience in a B2B and/or professional services environment. Demonstrated success in building or scaling a CRM function from the ground up, with the ability to establish processes, frameworks, and best practices. Strong understanding of CRM strategy, customer lifecycle management, marketing automation, customer segmentation, and data management. Hands-on experience with CRM (e.g. HubSpot) Strong analytical skills with the ability to leverage CRM data and insights to drive business decisions and continuous improvement. Excellent project management and cross-functional stakeholder management skills. Highly proactive and self-driven, with the ability to work autonomously, navigate ambiguity, identify opportunities, and take ownership of initiatives from concept through execution. Strong communication skills in English, both written and verbal. What We're Looking For The ideal candidate is entrepreneurial, highly motivated, and enjoys building systems rather than simply maintaining them. You are comfortable working with ambiguity, take initiative without waiting for direction, and are excited by the opportunity to create a CRM function that will become a key driver of business growth. Benefits What’s in it for you? Let's split it into a few key areas: Career Booster Coaching & Development Program. Exposure to international markets and global clients. Learn directly from experienced team members in a flat hierarchy environment where ideas and initiative are valued. Modern Work & Culture Full remote set-up with flexible working style. Work alongside a highly international and diverse team across Europe, APAC, and the Americas. A culture built on transparency, proactivity, collaboration, and resourcefulness — we support each other, share knowledge openly, and step in to help when needed. Ownership and autonomy: you are trusted to manage your work and contribute ideas that make an impact. Compensation & Benefits Competitive monthly base salary. 20 vacation days per year + local public holidays.

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is seeking a VP of Research (Machine Learning) to define and lead the research direction behind its AI platform. This leadership role will shape how AI systems reason, learn, evaluate, and continuously improve within a product designed for high-frequency, real-world usage. Working closely with product and engineering leadership, this position will drive the long-term intelligence strategy, balancing cutting-edge research with practical production impact. Key Responsibilities Define and evolve the research roadmap for the platform's core AI intelligence, including context representation, memory, reasoning, planning, and orchestration. Evaluate and determine when to develop proprietary model architectures versus leveraging or adapting frontier open-source and commercial AI models. Design evaluation frameworks that measure real-world performance, robustness, safety, and long-term system behavior beyond traditional benchmark metrics. Lead the company's AI alignment, safety, and guardrail strategy as a core component of product development. Drive research and experimentation across advanced machine learning techniques, including: Retrieval-Augmented Training (RAG) Mixture of Experts (MoE) Model Distillation Multi-Agent Orchestration Multimodal AI Systems Partner closely with product and engineering teams to define and execute the intelligence strategy for AI-powered applications. Establish and maintain high standards for research quality, technical judgment, and engineering excellence across the organization. Requirements Extensive experience designing, building, and deploying machine learning systems in production environments. Strong technical expertise in model behavior, failure analysis, system evaluation, and long-term AI performance. Proven ability to translate advanced research into reliable, production-ready AI solutions. Demonstrated experience making high-impact technical decisions in fast-moving and ambiguous environments. Deep understanding of AI evaluation methodologies, model robustness, safety, and system reliability. Strong ownership mindset with the ability to lead technical strategy and execution. Passion for building practical AI systems that deliver measurable real-world impact rather than focusing solely on academic research or benchmark performance. Preferred Technical Skills Experience with the following technologies is preferred: Python PyTorch and/or JAX GPU-based model training and inference systems

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is seeking a Technical Lead, Machine Learning to lead the execution of its AI platform by translating research into scalable, production-ready machine learning systems. This role sits at the intersection of research, infrastructure, and product, with responsibility for ensuring models are trainable, deployable, observable, and optimized for real-world performance. Working closely with research, engineering, and product teams, this position will drive the development of robust ML infrastructure while balancing performance, reliability, latency, and cost. Key Responsibilities Lead the end-to-end execution of machine learning systems, including data pipelines, training workflows, evaluation frameworks, inference architecture, and production deployment. Fine-tune and optimize models using modern techniques such as LoRA, QLoRA, Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and model distillation . Design, build, and operate scalable inference systems with a focus on latency, cost efficiency, and reliability. Develop and maintain data pipelines for both synthetic and real-world training datasets. Build evaluation frameworks to measure model performance, robustness, safety, and bias in collaboration with research teams. Optimize production deployments through GPU utilization, memory efficiency, inference optimization, and scaling strategies. Partner closely with application engineering teams to integrate machine learning systems into backend, desktop, and mobile products. Continuously improve production systems through rapid iteration, monitoring, and data-driven optimization. Requirements Proven experience building and deploying production-grade machine learning systems used by real users. Strong expertise working with large language models and understanding model behavior, limitations, and failure modes. Experience developing scalable ML infrastructure, training pipelines, and inference systems. Strong software engineering skills with the ability to write maintainable, production-quality code. Experience balancing real-world production constraints, including latency, reliability, scalability, cost, and safety. Strong ownership mindset with the ability to independently drive technical initiatives from design through deployment. Excellent communication and collaboration skills, with experience working in cross-functional, high-performing engineering teams. Preferred Technical Skills Experience with the following technologies is preferred: Python PyTorch and/or JAX GPU-based model training and inference systems

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is seeking a Senior Machine Learning Engineer to design and build production-grade machine learning systems that power its AI platform. This is a hands-on technical role focused on solving complex machine learning challenges, translating research into scalable solutions, and delivering reliable AI systems that operate effectively in real-world environments. Working closely with research, product, and engineering teams, this position will independently own critical machine learning components from development through production deployment. Key Responsibilities Build and develop core machine learning systems that power AI-driven product capabilities. Own the end-to-end machine learning lifecycle, including data preparation, model training, evaluation, inference, deployment, and continuous iteration. Translate research concepts into reliable, production-ready machine learning solutions. Investigate and resolve model performance issues and production system failures using real-world operational insights. Continuously improve machine learning systems through rapid experimentation, measurement, and iteration. Collaborate closely with research, product, and engineering teams to deliver impactful AI features. Provide technical guidance through code reviews, best practices, and mentorship of fellow machine learning engineers. Develop solutions that balance real-world production requirements, including latency, scalability, cost efficiency, reliability, and safety. Requirements Proven experience building and deploying production machine learning systems used by real users. Strong understanding of modern machine learning models, including their behavior, limitations, and failure modes in production environments. Excellent software engineering skills with the ability to develop robust, maintainable, production-quality systems. Experience designing and implementing scalable machine learning pipelines and infrastructure. Strong ownership mindset with the ability to independently solve complex technical challenges from concept through deployment. Excellent problem-solving, communication, and collaboration skills within cross-functional engineering teams. Demonstrated ability to iterate quickly and continuously improve machine learning systems based on production feedback. Preferred Technical Skills Experience with the following technologies is preferred: Python PyTorch and/or JAX GPU-based training and inference systems

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is seeking a Principal Machine Learning Engineer to build and deploy production-grade machine learning systems that power its AI platform. This role focuses on translating research into scalable solutions by developing robust training pipelines, inference systems, evaluation frameworks, and deployment infrastructure. Working closely with research and application engineering teams, this position will play a key role in delivering reliable, high-performance ML systems that operate effectively under real-world production constraints. Key Responsibilities Build and own end-to-end machine learning pipelines covering data processing, model training, evaluation, inference, and deployment. Fine-tune and adapt models using modern techniques such as LoRA, QLoRA, Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and model distillation. Design and operate scalable inference systems while balancing latency, cost, and reliability. Develop and maintain data pipelines for both synthetic and real-world training datasets. Build evaluation frameworks to assess model performance, robustness, safety, and bias in collaboration with research teams. Optimize production deployments through GPU optimization, memory efficiency, latency reduction, and scaling strategies. Collaborate with application engineering teams to integrate machine learning systems into backend, mobile, and desktop applications. Continuously improve ML systems through rapid iteration and real-world performance monitoring while balancing production constraints such as latency, cost, reliability, and safety. Requirements Strong background in deep learning and transformer-based architectures. Hands-on experience training, fine-tuning, or deploying large-scale machine learning models in production. Proficiency with modern machine learning frameworks such as PyTorch or JAX . Experience with distributed training and inference frameworks, including technologies such as DeepSpeed, FSDP, Megatron, ZeRO, or Ray . Strong software engineering skills with experience building robust, maintainable, production-grade systems. Experience optimizing GPU workloads, including memory efficiency, quantization, and mixed precision. Ability to independently own end-to-end machine learning systems in fast-moving environments. Strong problem-solving skills with a focus on rapid iteration and continuous improvement. Preferred Qualifications Experience with one or more of the following is preferred: LLM inference frameworks such as vLLM, TensorRT-LLM, or FasterTransformer Open-source contributions to machine learning or systems libraries Scientific computing, compiler technologies, or GPU kernel development Reinforcement Learning from Human Feedback (RLHF) pipelines, including PPO, DPO, or ORPO Training or deploying multimodal or diffusion models Large-scale data processing frameworks such as Apache Arrow, Spark, or Ray

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is seeking an iOS Software Engineer to build and enhance its AI-native mobile experience. This role is responsible for developing production-grade iOS applications where AI interactions are central to the user experience, ensuring performance, reliability, and user trust across all mobile interactions. Working closely with backend and machine learning teams, this position will focus on delivering scalable iOS applications that integrate advanced AI capabilities while maintaining a seamless and intuitive user experience. Key Responsibilities Build and maintain production iOS applications using Swift and SwiftUI . Integrate AI-powered features through backend APIs. Design user experiences for AI interactions, including loading states, streaming responses, retries, and fallback mechanisms. Optimize application performance, memory usage, and battery efficiency. Implement user feedback and analytics mechanisms to support AI evaluation and continuous product improvement. Collaborate closely with backend and machine learning engineers on API design and system behavior. Maintain high standards of application quality, stability, and reliability for App Store releases. Requirements Minimum 3 years of iOS development experience using Swift. Hands-on experience integrating AI-powered features into mobile applications. Strong understanding of async/await , concurrency, and background task management. Solid experience optimizing iOS application performance, memory usage, and responsiveness. Experience developing, releasing, and maintaining production iOS applications. Familiarity with designing applications that operate reliably under latency, partial failures, and non-deterministic AI behavior. Exposure to CoreML or lightweight on-device machine learning is an advantage. Familiarity with feature flags or remote configuration systems is preferred. Strong understanding of user experience design for AI-powered applications, with an emphasis on usability and user trust. Preferred Technical Skills Experience with the following technologies is preferred: Swift SwiftUI Swift Package Manager (SPM) SQL and NoSQL databases TensorFlow Lite (on-device inference)

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is looking for a Full Stack Engineer – AI Systems to build AI-native product experiences that transform advanced AI capabilities into intuitive, production-ready workflows. This role combines frontend, backend, and AI engineering to develop intelligent features that are reliable, scalable, and user-centric. Working closely with product, backend, and machine learning teams, this position will focus on designing end-to-end AI workflows, integrating large language models (LLMs), and delivering seamless user experiences across web applications. Key Responsibilities Build end-to-end product features across frontend, backend, and AI integrations. Design and develop AI agent workflows that support planning, tool usage, failure handling, and recovery across multiple steps. Integrate LLMs, memory systems, and external tools into scalable, production-grade applications. Design responsive AI interactions with streaming capabilities, partial results, and low-latency performance. Improve system reliability, observability, and fallback mechanisms for AI-powered features. Collaborate closely with product, backend, and machine learning teams to deliver features from concept to production. Continuously iterate and improve product functionality based on user feedback, production insights, and real-world usage. Requirements Strong experience in full stack software engineering across frontend and backend development. Solid understanding of system design, scalable architecture, and API development. Experience building AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or similar technologies. Ability to work effectively in fast-paced environments with evolving requirements. Strong ownership mindset with experience delivering features from ideation through production deployment. Excellent problem-solving skills and the ability to make pragmatic engineering decisions in ambiguous situations. Preferred Technical Skills Experience with some or all of the following technologies is preferred: Next.js Python Node.js PyTorch OpenAI, Anthropic, or open-source Large Language Models (LLMs) SQL and NoSQL databases Kubernetes Docker

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is seeking an Android Software Engineer to build and enhance its AI-native mobile experience. This role is responsible for developing production-grade Android applications where AI is at the core of the user experience, ensuring performance, reliability, and usability across all mobile interactions. Working closely with backend and machine learning teams, this position will focus on delivering scalable Android applications that integrate advanced AI capabilities while maintaining a seamless user experience. Key Responsibilities Build and maintain production Android applications using Kotlin . Integrate AI-powered features such as chat, vision, voice, and recommendation systems through backend APIs. Design intuitive user experiences for AI interactions, including streaming responses, retries, and partial results. Optimize application performance, memory usage, and responsiveness for AI-intensive workflows. Implement analytics, logging, and user feedback mechanisms to support continuous AI evaluation and product improvement. Collaborate closely with backend and machine learning engineers to define API integrations and system behavior. Ensure application stability, security, and scalability within production environments. Requirements Minimum 3 years of Android application development experience using Kotlin. Hands-on experience integrating AI-powered features, such as Large Language Models (LLMs), computer vision, or speech APIs. Strong understanding of asynchronous programming using Coroutines and Flow . Experience working with RESTful or gRPC APIs and structured data formats. Strong debugging, troubleshooting, and performance profiling skills. Experience developing applications that operate reliably under conditions involving latency, partial failures, and non-deterministic behavior. Familiarity with ML Kit or lightweight on-device inference is an advantage. Experience publishing and maintaining production applications on the Google Play Store . Preferred Technical Skills Experience with the following technologies is preferred: Kotlin / Java SQL and NoSQL databases TensorFlow Lite (on-device inference)