ABBYY

Recruitment

• Drive the full-cycle recruitment process across India and the broader APAC region using Greenhouse ATS for requisition management, candidate tracking, pipeline updates, interview workflows, and reporting.
• Partner closely with hiring managers to deeply understand hiring needs, role requirements, and business objectives across technical and non-technical functions.
• Leverage LinkedIn Recruiter, direct sourcing, talent mapping, job boards, referrals, and market insights to attract high-quality active and passive candidates.
• Build and maintain robust talent pipelines for priority and high-growth roles across multiple APAC markets.
• Collaborate with hiring managers and HR business partners to define recruitment strategies, hiring timelines, and selection criteria.
• Provide consistent, data-driven updates through Greenhouse dashboards and reports, including talent availability, salary data, and competitive market trends.
• Serve as a trusted advisor to business leaders, guiding them on recruitment best practices, market shifts, and talent trends across APAC.
• Ensure a seamless and positive candidate experience by managing all touchpoints through Greenhouse and maintaining timely, transparent communication.
• Conduct candidate engagement throughout the interview cycle, including expectations setting, interview prep, and feedback delivery.
• Champion the company’s culture and values to create a compelling and consistent employer narrative.

Talent Acquisition Specialist

Performance Marketing

• Plan, coordinate, and execute ABBYY Ascend, 3rd party events, industry tradeshows, and webinars, ensuring alignment with overall business and marketing objectives.
• Manage all event logistics, vendor coordination, speaker coordination, platform setup, post-event follow-up and on-site/off-site support to ensure seamless execution.
• Collaborate with internal teams to align event goals with broader marketing objectives.
• Track and analyze webinar performance to optimize future sessions.
• Support end-to-end execution of integrated email campaigns, including creating internal campaign briefs, content creation and performance tracking.
• Collaborate with cross-functional teams to develop high-impact campaign assets that are compelling, on-brand, and tailored to the unique needs of the APAC audience.
• Develop clear and concise campaign briefs for internal and external stakeholders.
• Manage relationships with external vendors, ensuring timely delivery of services and adherence to agreed-upon terms.
• Process invoices and ensure accurate tracking of marketing expenses, adhering to internal financial processes and timelines.
• Work closely with the finance team to ensure budget alignment and resolve any invoicing discrepancies.
• Monitor and report on the performance of campaigns and events, providing actionable insights to improve ROI.
• Use data-driven approaches to optimize marketing efforts and achieve demand generation goals.
• Partner with cross-functional teams, including revenue, marketing operations, product marketing and external agencies to ensure alignment and successful execution of marketing initiatives.

Demand Generation, Field Marketing – 6-8 Months Contract

Demand Generation, Field Marketing – 6 - 8 Months Contract

Machine Learning Engineer

• Guide architectural decisions for mixed (VLM, LLM, DNN) computer vision and multimodal systems.
• Drive the implementation of novel ML approaches, engineering best practices, and new technologies.
• Lead technical design reviews and architecture discussions.
• Establish standards and patterns for model development, evaluation, deployment, and production readiness.
• Architect scalable, reliable, and high-performance ML solutions.
• Lead the development of complex ML systems and architectures in the field of Intelligent Document Processing (IDP).
• Drive optimization of model performance, efficiency, and scalability.
• Improve ML development, validation, deployment, and operational processes.
• Ensure production readiness, system reliability, and technical excellence across ML initiatives.
• Mentor and develop senior and junior machine learning engineers.
• Foster a culture of engineering excellence, knowledge sharing, and continuous learning.
• Guide technical decision-making and provide feedback through design reviews.
• Support the career growth of team members while maintaining high engineering standards.

Senior Machine Learning Engineer

Software Engineer

• Own core messaging and positioning for FineReader Product Line, tailored to technical buyers, architects, and developers.
• Translate technical capabilities into compelling value narratives without oversimplification.
• Define differentiation versus competing Document Parsers / SDKs and open-source alternatives.
• Maintain up-to-date battlecards and competitive briefs relevant to developer decision-making in unison with Competitive Intelligence.
• Develop and execute a strategy to increase awareness and credibility within developer communities.
• Partner with Engineering to identify priority channels (GitHub, Stack Overflow, technical blogs, conferences, etc.).
• Define a presence strategy for technical events and developer-focused conferences.
• Ensure FineReader is visible in relevant ecosystem conversations (AI SDKs, OCR, IDP, Document Parsers, document processing pipelines).
• Drive creation of developer-oriented content including technical blogs, solution briefs, use-case deep dives, benchmarks, and architecture guidance.
• Collaborate with Engineering and Product Management to ensure documentation aligns with market positioning and is easy to navigate.
• Ensure messaging consistency across documentation portals, landing pages, and code repositories.
• Partner with Growth Marketing to design campaigns targeting developers and technical decision-makers.
• Define ICP segmentation for Parser and SDK buyers (ISVs, enterprise development teams, system integrators).
• Support pricing and packaging clarity for consumption models.
• Align messaging with broader ABBYY Document AI and Process AI narratives without diluting technical precision.
• Gather structured feedback from developers, partners, and technical customers.
• Monitor competitor releases and roadmap evolution.
• Feed ecosystem insights back into Product to influence roadmap priorities.

Product Marketing Manager – Developer Ecosystem

Developer Relations

• Own core messaging and positioning for FineReader Product Line, tailored to technical buyers, architects, and developers.
• Translate technical capabilities into compelling value narratives without oversimplification.
• Develop and execute a strategy to increase awareness and credibility within developer communities.
• Partner with Engineering to identify priority channels (GitHub, Stack Overflow, technical blogs, conferences, etc.).
• Drive creation of developer-oriented content including technical blogs, solution briefs, use-case deep dives, benchmarks, and architecture guidance.

Developer Relations Manager

Sales

• Own and Deliver the Partner Revenue Business (Americas)
• Own the end-to-end partner revenue number across the Americas, including sourced and influenced pipeline
• Lead and develop a team of Partner Account Managers, setting a high bar for performance, accountability, and execution rigor
• Drive forecast accuracy, pipeline discipline, and deal progression, representing the partner business in executive forecast calls
• Ensure partners are fully embedded into sales motions and consistently contributing to closed revenue
• Build and Scale New Partner-Led Growth
• Identify and develop new revenue streams through partners beyond the existing baseline
• Create and scale repeatable go-to-market plays (industry solutions, use cases, partner-led offerings)
• Expand ABBYY’s footprint into new segments and accounts via partners
• Personally engage in strategic opportunities to accelerate large and high-impact deals
• Monetize Strategic Partnerships and the Ecosystem
• Own and grow executive relationships with global technology partners
• Translate strategic alliances into tangible pipeline, co-sell motions, and closed business
• Drive joint solutions and ecosystem plays that unlock new enterprise use cases and routes to market
• Act as the regional leader for ecosystem monetization, aligning closely with the Global Partnerships and Alliances team
• Lead Cross-Functional Execution
• Align Sales, Marketing, Product, and Partner functions around partner-driven growth priorities
• Ensure partners are effectively enabled, activated, and integrated into regional GTM strategies
• Provide market and partner insights to shape global programs, investments, and strategy
• Act as the central point of orchestration between global partnerships and regional execution

Director, US Partner Sales – Strategic Alliances

Human Resources

• Lead, coach, and develop a small, globally distributed HR Operations team
• Drive consistency in service delivery, processes, and standards across regions
• Balance global standardization with local compliance requirements
• Establish clear SLAs, priorities, and performance expectations
• Act as the primary escalation point for complex and cross-regional issues
• Own and operate HR Operations for the U.S. employee population, ensuring full compliance with federal, state, and local requirements
• Provide leadership and oversight to global HR operations delivery, ensuring alignment and consistency across regions
• Drive end-to-end excellence across the full employee lifecycle globally, including onboarding and hiring support, job and compensation changes, leaves of absence, offboarding

HR Operations Manager

Product Manager

• Partner with product managers and key stakeholders to define and execute the strategic roadmap for AI-powered products and features, aligning with company objectives and customer needs
• Prioritize investments and initiatives that drive business growth and innovation
• Lead market analysis, customer research, and competitive assessments to identify opportunities for AI integration and differentiation
• Stay informed on emerging AI technologies to inform product direction
• Collaborate with engineering, design, data science, and cross-functional teams to design, develop, and launch AI-driven solutions
• Own product requirements including user stories, technical specifications, success metrics, and go-to-market strategies
• Own and evolve core AI/ML services leveraged across multiple product lines
• Ensure seamless integration of AI capabilities into enterprise workflows
• Evangelize AI initiatives both internally and externally, clearly articulating value, risks, and opportunities
• Educate stakeholders and leadership on AI strategy and business impact
• Leverage experimentation, analytics, and customer insights to continuously improve product performance
• Define and track key metrics such as model accuracy, inference latency, and infrastructure cost optimization
• Operate with a strong focus on measurable outcomes, iteration, and impact