--- title: "Srikanta P. - Agentforce Platform Product management in Sydney | Tal" description: "Meet Srikanta P., Building Agentforce based in Sydney. AI stack includes anthropic apis, antigravity, and claude code." image: "https://tal.club/meet/srikanta-prasad/share-image" --- # Srikanta P\. on Tal ## Headline Building Agentforce ## About As a Senior Product Manager at Salesforce, I drive the product strategy and execution for the Agentforce platform — Salesforce's native AI agent layer that embeds autonomous and assistive agents directly into CRM workflows\. My work sits at the intersection of multi\-model orchestration, enterprise AI infrastructure, and agentic system design\. This means coordinating intelligence across Salesforce's own Einstein models and frontier LLMs, grounding agents in real\-time Salesforce data to ensure contextually relevant and accurate outputs, and implementing enterprise\-grade guardrails through Salesforce's Trust Layer — covering data privacy, output safety, and secure action execution at scale\. I partner closely with engineering, platform, and GTM teams to ship capabilities that move the needle for enterprise customers: tool integration that allows agents to act across systems, multi\-step reasoning workflows, memory and context persistence, and structured output generation that makes agent responses reliable enough for production business processes\. Beyond the technical layer, I bring a strong focus on the commercial and strategic dimensions — translating customer discovery, market signals, and competitive landscape analysis into a prioritized roadmap that keeps Agentforce ahead as the agentic AI space rapidly evolves\. My work spans industries including financial services, aviation, healthcare, and government — sectors where the bar for reliability, compliance, and explainability is highest, and where agentic AI has the most transformative potential ## Location Sydney ## AI stack anthropic apis antigravity claude code claude cursor elevenlabs ## Work experience Agentforce Platform Product management at Salesforce, Jul 2024 \- Present · 2 yrs 2 mos, Bengaluru, At Salesforce, my work centers on building and scaling Agentforce — the platform that brings autonomous and assistive AI agents into the core of CRM\. I lead product decisions across multi\-model orchestration, combining the power of Salesforce's Einstein models with frontier LLMs to create agents that are contextually aware, data\-grounded, and enterprise\-ready\. A critical part of this is the Trust Layer — the guardrail infrastructure that ensures every agent action is secure, policy\-compliant, and auditable, which is non\-negotiable for the enterprise customers we serve\. Agentforce agents don't just respond — they act\. They automate complex, multi\-step workflows end\-to\-end, engage customers across channels including chat, voice, and connected applications, and surface actionable insights directly in the flow of work\. I partner with engineering and product teams to ship the capabilities that make this possible in practice: tool and skill integration, secure action execution, observability pipelines, and policy controls that give customers the confidence to deploy AI agents at scale\. The outcomes we drive are concrete — measurable improvements in sales productivity, service resolution, and marketing engagement across some of the world's largest enterprises Principal Product Manager, Data Science & AI Platform \- OCI at Oracle, Aug 2021 \- Jul 2024 · 3 yrs, Bengaluru, Part of the Data Science & AI/Cognitive platform services team in Oracle Cloud and AI division\. I work on solving problems using distributed computing at scale using AI, Machine Learning methods\. We are building an AI platform Infrastructure for MLOPS and LLMOPs services by providing software infrastructure services for Speech, Vision, Language, and Decision sciences verticals\. I work on developing products to address MLOPS and LLMOps areas such as Machine learning model store, Feature Store, ML Pipelines, and Model Monitoring tools at scale\. Technical Product Manager, Data Analytics at Boeing, Apr 2018 \- Aug 2021 · 3 yrs 5 mos, Seattle, WA Senior Data Scientist at Boeing, Aug 2016 \- Mar 2018 · 1 yr 8 mos, Bangalore Urban, Karnataka, India Senior Data Scientist at Infineon Technologies, Feb 2015 \- Jul 2016 · 1 yr 6 mos, Singapore, Worked with IT and data owners \(both internal and external to Infineon Technologies\) to engender robust data ecosystem\. Conceptualize and strategize the in\-house analytics roadmap to ensure organizational needs and departmental goals are harmonized\. \- Initiate and drive engagement with business units to generate demand for analytics \- Understand business problems and conceptualize tailored analytics solutions \- Develop Analytical / machine learning models with usage of analytics based tools\. Responsible for creating/designing and implementing the complete database solution for storing Market Intelligence data files along with data from multiple source systems\. IFX Revenue prediction for CFO Office Developed a prediction model to predict the revenue for Infineon Technologies for the upcoming quarters and months\. The revenue calculation consisted of revenue generated from new orders, inventory snapshots, capacity information, currency exchange rates and many other factors\. Some of the methods used include ARIMA, winters additive time series models…etc Predictive Forecasting Models As a Senior Data Scientist at Business Analytics Centre of Competence, I developed Predictive forecasting models for Internal Business different divisions spanned within the APAC Region and as well as for HQ based projects within Infineon\. Competitor Intelligence Responsible for developing a competitor intelligence system to analyze the sentiments emerging from different projects which Infineon Technologies is also bidding for\. The data extracted was from publically available websites\. The data was used to analyze trends in announcement of projects during different timelines Data Scientist at Singapore Press Holdings, May 2014 \- Jan 2015 · 9 mos, Singapore, Customer Analytics \- Behavioral Segmentation of Customers Developed behavioral and demographic aspects of Customer analytics for the popular product families under Singapore press holdings umbrella\. Familiar with the tools such as a Google Analytics, ATInternet Metrics, Tableau, Amazon AWS and Hadoop\. • Customer Analytics \- Customer Churn Developed different churns models to predict churn and helped in developing strategies to retain customers\. Familiarity with K\-Means, CHAID, Gradient Boosting Methods \(GBM\) methods of machine learning\. Corporate Dashboard for KPI Reporting In this project I was responsible for developing the extracted KPI’s using Google analytics and AT Internet, we used tableau to prepare corporate dashboard, the consumers were the CXO level people\. GIS Mapping Developed a database to map postal codes of different customers\. For this purposes we did a reverse geocoding using python and QGIS database\. Tools which were used are pyQGIS and googlemaps\. ## Education Artificial Intelligence Professional Program, Artificial Intelligence, Stanford University Master of Business Administration \- MBA, Strategy and Analytics, UNC Kenan\-Flagler Business School [View the original profile](https://tal.club/meet/srikanta-prasad) ```json { "@context": "https://schema.org", "@graph": [ { "@type": "Person", "@id": "https://tal.club/meet/srikanta-prasad#person", "name": "Srikanta P.", "url": "https://tal.club/meet/srikanta-prasad", "description": "Meet Srikanta P., Building Agentforce based in Sydney. 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