Company Overview: Talent Systems, LLC is the leading technology solution provider for casting and auditioning to the entertainment industry. Casting directors and agents worldwide use Talent Systems’ portfolio of products to source and manage talent across film, television, commercials, theater, and digital projects, powering an unparalleled, global casting software ecosystem. We are headquartered in Los Angeles and operate in the US, Canada, Mexico, UK, Australia, and India. Our portfolio brands include Casting Networks, Spotlight, Cast It Systems, Staff Me Up, Tagmin, Casting Frontier, and Cast It Reach. Team Overview: The Talent Systems Support team delivers responsive, knowledgeable, and high-quality support for customers across the globe. With team members distributed across North America, Latin America, Europe, and Asia-Pacific, we work together to resolve issues, share insights, and ensure a consistent experience across all Talent Systems platforms. Job Purpose: The Senior Manager, Support is responsible for ensuring the success and retention of global customers by leading, developing, and supporting a high-performing team of Talent Support Specialists. This role focuses on delivering a consistent, high-quality customer experience across all Talent Systems products and channels. The Senior Manager ensures the team is equipped to handle complex issues, follows escalation protocols, and consistently meets internal quality standards. They monitor team performance, escalate systemic issues, and advocate for critical customer needs across departments. As a people leader, they drive team development, workforce planning, and broader support initiatives aligned with business priorities. Duties & Responsibilities: Lead and manage a global team of Talent Support Specialists, including recruiting, onboarding, scheduling, coaching, and performance evaluation Define team goals, create career development plans, and support professional growth for individual contributors Oversee day-to-day operations to ensure timely, high-quality support across all Talent Systems products and channels Monitor and analyze KPIs, customer feedback, and productivity data to identify trends, improve service quality, and inform strategic decisions Ensure the team follows escalation protocols and deliver hands-on support for complex or sensitive customer issues Develop and maintain after-hours coverage plans and escalation procedures Partner with Support leadership and cross-functional peers to align on goals, resource planning, and team initiatives Advocate for critical customer issues by identifying systemic pain points and clearly communicating impact to internal stakeholders Coordinate cross-training and knowledge-sharing to ensure broad product expertise across the team Collaborate with the Global Director, Support on annual planning, including headcount forecasting, budgeting, and defining quarterly priorities Qualifications & Attributes: Proven experience leading a customer support team in a SaaS or cloud-based environment Industry experience in entertainment, casting, or media technology is a strong plus Skilled in managing support operations using tools such as Zendesk, JIRA, and CRM platforms Strong analytical skills with the ability to interpret support data and drive process improvements Excellent verbal and written communication, with the ability to coach others and manage escalations Demonstrated ability to lead through ambiguity and maintain professionalism in high-pressure situations Able to manage multiple priorities while driving accountability and performance across the team BA/BS degree preferred
Company Overview: Talent Systems, LLC is the leading technology solution provider for casting and auditioning to the entertainment industry. Casting directors and agents worldwide use Talent Systems’ portfolio of products to source and manage talent across film, television, commercials, theater, and digital projects, powering an unparalleled, global casting software ecosystem. We are headquartered in Los Angeles and operate in the US, Canada, Mexico, UK, Australia, and India. Our portfolio brands include Casting Networks, Spotlight, Cast It Systems, Staff Me Up, Tagmin, Casting Frontier, and Cast It Reach. Job Purpose: We’re hiring a Senior Product Manager to lead the development and growth of mobile-first subscription products tailored for the Indian market. This role requires a strong operator with the ability to own product outcomes end-to-end—ideation, execution, and optimization. You’ll work cross-functionally with teams in the US, UK, and India, reporting directly to senior leadership. You are a natural ambassador for the product and the company, comfortable at building relationships with a diverse range of stakeholders, from upcoming artists to established industry leaders and high-profile clients. Key Responsibilities: Own the product roadmap and execution for India, focusing on mobile-first experiences across iOS, Android, and web. Drive new product development from scratch in a rapid, iterative development environment. Conduct market research, competitor benchmarking, and TAM/SAM/SOM market sizing to inform decisions. Define, track, and optimize core funnel metrics: acquisition, activation, retention, monetization, churn. Deep experience in data-driven product management ; fluency with Excel, SQL, and modern BI tools is essential. Familiarity with Figma , Jira , Confluence , Miro , and other product/design tools. Analyze product usage, subscription performance, and pricing sensitivity using data tools and SQL dashboards. Collaborate daily with global stakeholders, designers, engineers, and business teams across time zones. Lead go-to-market strategy including pricing, positioning, and launch planning. Work closely with engineering on payment systems, WhatsApp integrations, and in-app communication tools. Represent Spotlight One at industry events, acting as a strong brand ambassador, and building stronger relationships for the company. Core Competencies: 5+ years of product management experience, ideally in consumer tech, marketplaces, or mobile-first platforms (e.g., Swiggy, Flipkart, Meesho, etc.). Demonstrated success in managing subscription-based mobile apps and launching products end-to-end. Strong analytical skills — fluency in data (Excel, SQL, dashboards), experimentation, and insight generation. Experience with market sizing and business case development . Proven track record of collaborating with global teams (especially US/UK stakeholders) in a distributed setup. Hands-on approach to requirements gathering, prototyping, testing, and feature launches . Familiarity with payments, CRM tools, mobile messaging , and local user behavior in India. Strong communication skills—able to synthesize complex issues and influence cross-functional teams. A well-polished and professional demeanor, with the confidence to interact effectively with individuals at all levels of the entertainment industry. The ability to handle confidential information and sensitive relationships with utmost discretion and integrity. Bonus: Experience in entertainment, creator economy, or casting platforms . Inclusion at Talent Systems: At Talent Systems we are committed to attracting diverse talent that represents the society we live in and the diversity of our customers. We aim to be inclusive of all staff regardless of age, sexuality, socio-economic background, disability, ethnicity, gender, religion, or beliefs. We are committed to building a culture of belonging and this is reflected in our policies, practices, active internal employee-led network and supported by our executive leadership team.
Job Purpose: We’re hiring a Senior Product Manager to lead the development and growth of mobile-first subscription products tailored for the Indian market. This role requires a strong operator with the ability to own product outcomes end-to-end—ideation, execution, and optimization. You’ll work cross-functionally with teams in the US, UK, and India, reporting directly to senior leadership. You are a natural ambassador for the product and the company, comfortable at building relationships with a diverse range of stakeholders, from upcoming artists to established industry leaders and high-profile clients. Key Responsibilities: Own the product roadmap and execution for India, focusing on mobile-first experiences across iOS, Android, and web. Drive new product development from scratch in a rapid, iterative development environment. Conduct market research, competitor benchmarking, and TAM/SAM/SOM market sizing to inform decisions. Define, track, and optimize core funnel metrics: acquisition, activation, retention, monetization, churn. Deep experience in data-driven product management ; fluency with Excel, SQL, and modern BI tools is essential. Familiarity with Figma , Jira , Confluence , Miro , and other product/design tools. Analyze product usage, subscription performance, and pricing sensitivity using data tools and SQL dashboards. Collaborate daily with global stakeholders, designers, engineers, and business teams across time zones. Lead go-to-market strategy including pricing, positioning, and launch planning. Work closely with engineering on payment systems, WhatsApp integrations, and in-app communication tools. Represent Spotlight One at industry events, acting as a strong brand ambassador, and building stronger relationships for the company. Core Competencies: 5+ years of product management experience, ideally in consumer tech, marketplaces, or mobile-first platforms (e.g., Swiggy, Flipkart, Meesho, etc.). Demonstrated success in managing subscription-based mobile apps and launching products end-to-end. Strong analytical skills — fluency in data (Excel, SQL, dashboards), experimentation, and insight generation. Experience with market sizing and business case development . Proven track record of collaborating with global teams (especially US/UK stakeholders) in a distributed setup. Hands-on approach to requirements gathering, prototyping, testing, and feature launches . Familiarity with payments, CRM tools, mobile messaging , and local user behavior in India. Strong communication skills—able to synthesize complex issues and influence cross-functional teams. A well-polished and professional demeanor, with the confidence to interact effectively with individuals at all levels of the entertainment industry. The ability to handle confidential information and sensitive relationships with utmost discretion and integrity. Bonus: Experience in entertainment, creator economy, or casting platforms .
Title : Head of Engineering, Data & AI Level : Director Reports To: CTO Location : Hyderabad, India or Krakow, Poland Work setup : Hybrid (2-3 days/week in the office) Talent Systems, LLC is the leading technology solution provider for casting and auditioning to the entertainment industry. Casting directors and agents worldwide use Talent Systems’ portfolio of products to source and manage talent across film, television, commercials, theater and digital projects, powering an unparalleled, global casting software ecosystem. We are headquartered in Los Angeles and operate in the US, Canada, UK, Australia and India. Our portfolio brands include Casting Networks, Spotlight, Cast It Systems, Cast It Talent, Casting Frontier, Staff Me Up, Cast It Reach & Tagmin. Job Description We are looking for an experienced and visionary Head of Engineering, Data & AI to lead our data engineering, AI, and storage systems for a suite of cloud-based applications. This leader will own the strategy and execution for our big data platforms, AI/ML infrastructure, and storage systems, ensuring they are scalable, reliable, and built to support both current and future innovation needs. You will also play a central role in advancing our capabilities in GenAI, LLMs, Vector Databases, and other emerging AI technologies, while fostering a forward-looking culture of innovation. Leadership and strategy: Define and execute the long-term strategy for data engineering and AI platforms in alignment with business goals. Drive innovation in Big data, AI/ML, and GenAI solutions, anticipating future opportunities and challenges. Serve as the company’s thought leader on AI and data innovation, advising executive leadership on emerging trends and technology investments. Data Engineering & Platform Development: Lead the design, development, and operation of enterprise-grade data platforms (e.g., Snowflake, data lakes, streaming systems). Architect and manage high-scale storage systems for structured, semi-structured, and unstructured data. Establish and maintain robust data pipelines, ensuring high availability, reliability, and performance. Data Warehousing & Analytics Enablement: Oversee the design, implementation, and optimization of modern data warehouse solutions, with Snowflake as the preferred platform. Champion the use of DBT (data build tool) to enable scalable, modular, and version-controlled transformations. Develop frameworks for data modeling, transformation, and semantic layers to ensure data is consistent, accurate, and analysis-ready. Partner with BI teams to deliver self-service analytics capabilities via Qlik or equivalent visualization tools, ensuring accessibility for technical and non-technical users. Implement and enforce data governance, lineage tracking, and documentation standards so employees can confidently use data in decision-making. Ensure data is discoverable, well-modeled, and accompanied by clear business definitions to support a truly data-driven culture. Drive initiatives to reduce time-to-insight for analysts and business users through automation, optimized queries, and efficient data delivery patterns. AI & Advanced Analytics Oversee the implementation and scaling of AI frameworks, LLMs, Vector DBs, and GenAI technologies for real-world applications. Partner with product teams to integrate AI capabilities into customer-facing and internal tools. Ensure ethical and secure use of AI and data in compliance with regulations and best practices. Collaboration & Global Partnership: Collaborate with platform engineering, product engineering, and analytics teams distributed across the globe. Build strong partnerships with finance and business stakeholders to deliver actionable insights and intelligent features. Align cross-functional teams on priorities, dependencies, and data-driven strategies. Operational Excellence: Drive automation and self-service capabilities to empower engineering and analytics teams. Monitor and continuously improve data reliability, scalability, and cost-efficiency. Implement governance, security, and compliance frameworks for data and AI systems. Talent Development & Culture: Build, mentor, and scale high-performing global teams in data engineering and AI/ML operations. Foster a culture of innovation, continuous learning, and experimentation. Attract top engineering and AI talent to strengthen the organization’s capabilities. Experience 12+ years in data engineering or related fields, with at least 5 years in senior leadership roles. Proven track record with big data platforms such as Snowflake (preferred), Databricks, AWS Redshift, or similar. Significant experience with AI/ML frameworks, GenAI technologies, LLMs, and Vector Databases. Strong background in architecting and managing cloud-based data and AI platforms (AWS preferred). Experience leading globally distributed teams and collaborating with cross-functional partners. Skills Deep expertise in data warehousing, ELT pipelines, and analytics platform integration. Strong understanding of data modeling, semantic layers, and best practices for BI enablement. Deep expertise in data architecture, pipeline engineering, and cloud-native data solutions. Strong understanding of machine learning, deep learning, and generative AI technologies. Exceptional leadership, strategic thinking, and communication skills. Ability to balance visionary innovation with practical execution.
Title : Head of Engineering, Data & AI Level : Director Reports To: CTO Location : Hyderabad, India or Krakow, Poland Work setup : Hybrid (2-3 days/week in the office) Talent Systems, LLC is the leading technology solution provider for casting and auditioning to the entertainment industry. Casting directors and agents worldwide use Talent Systems portfolio of products to source and manage talent across film, television, commercials, theater and digital projects, powering an unparalleled, global casting software ecosystem. We are headquartered in Los Angeles and operate in the US, Canada, UK, Australia and India. Our portfolio brands include Casting Networks, Spotlight, Cast It Systems, Cast It Talent, Casting Frontier, Staff Me Up, Cast It Reach & Tagmin. Job Description We are looking for an experienced and visionary Head of Engineering, Data & AI to lead our data engineering, AI, and storage systems for a suite of cloud-based applications. This leader will own the strategy and execution for our big data platforms, AI/ML infrastructure, and storage systems, ensuring they are scalable, reliable, and built to support both current and future innovation needs. You will also play a central role in advancing our capabilities in GenAI, LLMs, Vector Databases, and other emerging AI technologies, while fostering a forward-looking culture of innovation. Leadership and strategy: Define and execute the long-term strategy for data engineering and AI platforms in alignment with business goals. Drive innovation in Big data, AI/ML, and GenAI solutions, anticipating future opportunities and challenges. Serve as the company's thought leader on AI and data innovation, advising executive leadership on emerging trends and technology investments. Data Engineering & Platform Development: Lead the design, development, and operation of enterprise-grade data platforms (e.g., Snowflake, data lakes, streaming systems). Architect and manage high-scale storage systems for structured, semi-structured, and unstructured data. Establish and maintain robust data pipelines, ensuring high availability, reliability, and performance. Data Warehousing & Analytics Enablement: Oversee the design, implementation, and optimization of modern data warehouse solutions, with Snowflake as the preferred platform. Champion the use of DBT (data build tool) to enable scalable, modular, and version-controlled transformations. Develop frameworks for data modeling, transformation, and semantic layers to ensure data is consistent, accurate, and analysis-ready. Partner with BI teams to deliver self-service analytics capabilities via Qlik or equivalent visualization tools, ensuring accessibility for technical and non-technical users. Implement and enforce data governance, lineage tracking, and documentation standards so employees can confidently use data in decision-making. Ensure data is discoverable, well-modeled, and accompanied by clear business definitions to support a truly data-driven culture. Drive initiatives to reduce time-to-insight for analysts and business users through automation, optimized queries, and efficient data delivery patterns. AI & Advanced Analytics Oversee the implementation and scaling of AI frameworks, LLMs, Vector DBs, and GenAI technologies for real-world applications. Partner with product teams to integrate AI capabilities into customer-facing and internal tools. Ensure ethical and secure use of AI and data in compliance with regulations and best practices. Collaboration & Global Partnership: Collaborate with platform engineering, product engineering, and analytics teams distributed across the globe. Build strong partnerships with finance and business stakeholders to deliver actionable insights and intelligent features. Align cross-functional teams on priorities, dependencies, and data-driven strategies. Operational Excellence: Drive automation and self-service capabilities to empower engineering and analytics teams. Monitor and continuously improve data reliability, scalability, and cost-efficiency. Implement governance, security, and compliance frameworks for data and AI systems. Talent Development & Culture: Build, mentor, and scale high-performing global teams in data engineering and AI/ML operations. Foster a culture of innovation, continuous learning, and experimentation. Attract top engineering and AI talent to strengthen the organization's capabilities. Experience 12+ years in data engineering or related fields, with at least 5 years in senior leadership roles. Proven track record with big data platforms such as Snowflake (preferred), Databricks, AWS Redshift, or similar. Significant experience with AI/ML frameworks, GenAI technologies, LLMs, and Vector Databases. Strong background in architecting and managing cloud-based data and AI platforms (AWS preferred). Experience leading globally distributed teams and collaborating with cross-functional partners. Skills Deep expertise in data warehousing, ELT pipelines, and analytics platform integration. Strong understanding of data modeling, semantic layers, and best practices for BI enablement. Deep expertise in data architecture, pipeline engineering, and cloud-native data solutions. Strong understanding of machine learning, deep learning, and generative AI technologies. Exceptional leadership, strategic thinking, and communication skills. Ability to balance visionary innovation with practical execution.