Saviynt

Platform Engineer

• Own the Ray ecosystem end-to-end: manage KubeRay on GKE, tune Ray Core Task/Actor scheduling, operate the Plasma distributed object store, and configure Ray Data for GPU-direct streaming from GCS/S3
• Operate distributed training with Ray Train: configure TorchTrainer + DDP/NCCL for multi-node H100 clusters, manage checkpoint lifecycle, implement spot-preemption recovery, and integrate warm-start fine-tuning for retrain pipelines
• Build and operate the LLM inference mesh with Ray Serve: compose vLLM (PagedAttention), SGLang (RadixAttention), and NVIDIA Triton (TensorRT/ONNX) as a unified deployment graph with Plasma zero-copy memory sharing
• Optimise inference performance: configure fractional GPU allocation, enable continuous batching, implement per-engine autoscaling based on request queue depth, and tune KV-cache block sizes
• Design and operate the model routing layer: capability-based, version-based, and tenant-based routing with cost-aware fallback between self-hosted SLMs and cloud LLMs
• Build RL training infrastructure: define Flyte workflows for RL pipelines (rollout, reward shaping, policy update, evaluation), integrate Ray RLlib or custom PPO/GRPO loops with Ray Train, and manage replay buffer persistence on GCS
• Operate the full model promotion lifecycle: quality gate → integration tests → load tests (k6) → shadow mode → A/B gate → canary (10%→100%) with golden-signal auto-rollback
• Operate the retrain pipeline: drift detection triggers, warm-start retraining, relative quality gates (V2 >= V1 − 2%), and automated Flyte DAG through to canary
• Integrate RAG retrieval into the inference mesh: vector similarity search, context assembly, and prompt construction before LLM inference

AI Platform Engineer, Training and Inference

Customer Success Manager

• Portfolio Management: Serve as the primary point of contact for a dedicated portfolio of 35–38 Scaled accounts (under $200k ARR) post-implementation, successfully balancing 1-to-many programmatic initiatives with targeted high-impact 1-to-1 engagements.
• Retention & Renewal: Manage the subscription renewal pipeline for your assigned portfolio and maintain close cognizance of customer health in order to proactively eliminate barriers to adoption and value.
• Sales Collaboration: Participate with the Sales team to provide a strong customer-focused sales, orientation, and launch engagement process.
• Account Expansion: Develop deep, trusting relationships with customer key personnel and larger teams to efficiently seek and develop up-sell / cross-sell opportunities across a high-velocity account base.
• Cross-Functional Coordination: Coordinate and conduct meetings between customers and Saviynt cross-functional teams to solve problems and advance customer adoption; ensure post-meeting follow-ups and action-item completion.
• Data-Driven Insights: Monitor and identify product utilization trends across your portfolio, providing feedback to Saviynt cross-functional teams to support continuous improvement -- finding ways to better support customer use cases and corporate identity strategies.
• Partner Alignment: Communicate with implementation Partners supporting Saviynt customers and seek opportunities to improve outcomes and relationships in the context of customer adoption.
• Scaled Enablement: Plan and deliver education for customers on new features and releases, leveraging webinars, automated campaigns, and digital enablement channels to effectively reach your full portfolio.
• Customer Advocacy: Act as the voice of the SMB Scaled customer segment and collect feedback to drive continuous improvement across all areas including product.

Senior Customer Success Manager – SMB Scaled Business

Account Manager

• Help customers resolve issues, including case and escalation management, root-cause analysis, and special projects
• Provide reports on the health of the customer's instance
• Identify upgrade needs, create upgrade plans, and assist with upgrade planning
• Act as an escalation point for customer-submitted cases and requests
• Establish and maintain strong relationships with key accounts.
• Address and resolve customer issues by coordinating with various departments.
• Guide new customers through the onboarding process, ensuring they understand how to use the company’s products or services effectively.
• Monitor and track customer support metrics to identify trends, areas for improvement, and potential issues.
• Work closely with other departments such as sales, product development, and engineering to address customer needs and improve product offerings.
• Manage customer accounts by keeping detailed records of interactions, support tickets, and resolutions to ensure continuity and personalized service.
• Gather and analyze customer feedback to identify areas for improvement in products or services.
• Anticipate customer needs and proactively reach out to offer assistance, updates, or new features that may benefit the customer.
• Maintain accurate records of customer interactions and support activities.

Support Account Manager

Solutions Engineer

• Develop and deliver technical presentations to demonstrate enterprise solutions, ease-of-configuration, simplicity of architecture, and intelligence of workflows providing the opportunity for customer interaction and demonstrating excellent presentation skills.
• Effectively communicate solution value to the business and technical audiences that is clear and satisfies prospective customer requirements and/or inquiries.
• Provide needs assessment, consultation, technical solutions, and customer support with a team of Saviynt professionals.
• Collaborate with both the sales and global bid team members to respond to satisfy prospective customer inquiries resulting from an RFx.
• Assist members of the global bid team and collaborate with members of the product management team in the curation of RFx responses.
• Effectively communicate with sales directors and sales management, working proactively and independently to prioritize and manage top regional opportunities, driving them to closure.
• Regularly provide solution feedback and competitive intel from the field to Saviynt product management, solutions strategy, and marketing teams.
• Ramp and coach Solutions Engineers on solution demonstration, RFP responses and presentations, technical overviews, POC scope management, and execution.
• Up to 40% domestic travel

Senior Solutions Engineer

• Strong pod-level troubleshooting skills in AKS/EKS (not just restarting pods).
• Analyze application and DB (RDS, MySQL) performance issues.
• Deeply investigate and analyze application performance issues (Java, Grails, Hibernate), identifying root causes and implementing solutions.
• Oversee the monitoring of our SaaS applications and underlying infrastructure (Kubernetes on AWS and Azure, VPN connections, customer applications, Elastic Search, MySQL) for alerts and performance issues.
• Strong understanding of basic computing concepts like DNS, IP addressing, Networking, and LDAP.
• Effectively participate and contribute in on-call escalations with a strong operational mindset and provide technical guidance during critical incidents.
• Proactively communicate with customers on technical issues when required.
• Ability to guide junior engineers when needed technically.
• Manage the full lifecycle of alerts, incidents, and service requests reported through FreshService, ensuring timely and accurate logging, prioritization, resolution, and escalation.
• Develop, implement, and maintain operational procedures, runbooks, and knowledge base articles to standardize incident resolution and service request fulfillment.
• Drive continuous improvement initiatives to optimize operational efficiency, reduce incident rates, and improve service request turnaround times via engineering automation to reduce toil and waste.
• Collaborate with backend engineering and development teams to troubleshoot complex issues, identify root causes, and implement preventative measures.
• Ensure adherence to defined SLAs (Service Level Agreements) and KPIs (Key Performance Indicators) for operational performance.
• Maintain operational documentation, including system diagrams, contact lists, and escalation paths.
• Ensure compliance with relevant security and compliance policies.
• Plan and coordinate scheduled maintenance activities with minimal impact to service availability.

Platform Support Engineer

AI Engineer

• Identify and prioritize high-impact AI use cases across Customer Office teams in partnership with Revenue Operations.
• Design and implement AI-driven workflows and agentic solutions across the Customer Office tech stack.
• Build and scale automation and intelligence layers on top of Salesforce and the broader GTM stack.
• Serve as the AI expert, partnering with Enterprise Systems and Architecture teams to define and enforce data models.
• Leverage Customer data to power AI-driven insights and workflows.
• Stay ahead of AI and GTM technology trends by rapidly evaluating and testing new tools and approaches.

Customer Success AI Architect

• You set the architectural direction for how training data flows, evolves, and is governed across the AI Platform.
• You define the standards ML engineers and scientists build on, and ensure every training signal is tenant-isolated, PII-free, and traceable from source to model.
• AI Data Lake on GCS: bucket layout, raw → silver → gold tier separation, CMEK encryption, lifecycle rules
• Batch pipelines: Spark on Dataproc for TB-scale feature backfills, Iceberg compaction, and daily S3→GCS incremental sync
• Streaming pipelines: Apache Beam on Dataflow for sub-5-min CDC ingestion with exactly-once semantics and PII assertion gates
• Schema registry: Avro / Protobuf schema versioning, compatibility modes, and migration playbooks for safe schema evolution
• Orchestration: Flyte as primary DAG layer — task authoring standards, domain isolation, retry policies, DataCatalog memoization; evaluate Kubeflow Pipelines where relevant
• Multi-tenancy: strict per-tenant GCS prefix isolation, quota policies, and cross-tenant contamination validation
• Data Anonymizer and Data Labeler microservices: strip PII and attach ML labels before signals leave each customer environment
• Feature store: Feast offline (GCS Parquet) and online (Redis) with point-in-time correctness and < 0.1% consistency SLA
• Vector database: operate Pgvector (Cloud SQL) for POC and Qdrant on GKE for production-scale embedding storage; design index strategies (IVFFlat, HNSW) and manage ANN query latency SLAs
• RAG data pipeline: build embedding generation pipelines that chunk, encode, and upsert document embeddings into the vector store; own the data refresh cadence and staleness SLAs for retrieval context
• Service APIs: expose data platform services (feature serving, embedding upsert, schema validation) over HTTPS with mTLS and gRPC where low-latency streaming is required
• Synthetic data pipelines for dev/staging where real customer data is not permitted
• Data quality gates: Great Expectations / dbt checks as Flyte tasks, blocking on schema and PII-absence failures

Principal Software Engineer, AI Platform Engineering

• Strong pod-level troubleshooting skills in AKS/EKS
• Analyze application and DB performance issues
• Oversee monitoring of SaaS applications and underlying infrastructure
• Effectively participate in on-call escalations
• Proactively communicate with customers on technical issues
• Manage full lifecycle of alerts, incidents, and service requests
• Develop and maintain operational procedures and knowledge base
• Drive continuous improvement initiatives to optimize operational efficiency
• Collaborate with backend engineering and development teams to troubleshoot issues
• Ensure adherence to SLAs and maintain operational documentation

Senior Platform Support Engineer

• Responsible for the Partner facing enablement activities to ensure successful deployments
• Help clients realize “Time to Value” goals including the adoption of best practices
• Valid deployment methodology and working within the defined Saviynt processes
• Drive strategic global initiatives within Saviynt based on a wide range of data and metrics to manage costs
• Identify risks, highlight cross sell/up sell opportunities and general business process improvements
• Gather feedback to drive continual improvements with Saviynt processes, community tools and systems
• Understand partner’s strategic goals and advise on how to achieve them
• Feedback to partner on how they can improve their “Ways of working” based on information gathered from the field as well as internal data metrics
• Working with CSMs, TAMs and Expert Services to build a picture of a partner’s strengths and weaknesses as well as projects at risk
• Track go-live dates in your region, identify aged/deferred go-lives at risk
• For projects/go-lives at risk, identify causes and recommend possible interventions
• Profile partners by geography, experience and performance to assist Partner Directors and Sales Directors with recommendations to clients
• Monitor and measure partner’s engagement with Freshdesk, Forums, Documentation Portal, Ideas Portal and Saviynt Exchange
• From data driven analysis, identify trends at a regional and global level and devise strategies for field teams to adopt
• Attend Partner Focused events and either present on related topics or host workshops to share knowledge increase partner engagement
• Create content for quarterly Partner Newsletter that adds value to the partner’s capabilities and knowledge
• Support the Partner Director in managing the partners performance with evidential facts to enable a robust dialogue
• Challenge the Status Quo and identify areas for improvement both externally with partners and internally with functional teams
• Communicate the Saviynt vision and product roadmap
• Managing upsell and cross-sell opportunities
• Driving expansion opportunities
• Negotiating contracts and pricing

Senior Manager, Partner Success

SDET

• Lead the architecture and evolution of our automation and quality engineering strategy for Saviynt’s cloud-native Identity Security platform
• Partner with Engineering, Product, and SRE teams to design scalable test frameworks
• Drive automation-first development and ensure the reliability, security, and performance of our platform
• Champion the adoption of AI-powered development and testing tools to accelerate engineering productivity and improve software quality

Associate Principal SDET

Full-stack Engineer

• Work on developing, optimizing, and deploying AI-driven solutions
• Focus on building scalable products that leverage LLMs and orchestration frameworks
• Hands-on development and close collaboration with cross-functional teams
• Deliver high-quality, secure, and observable systems in a multi-cloud environment

Senior Software Engineer, Agentic AI

Security Engineer

• Serve as the primary point of contact for customers after implementation.
• Manage the subscription renewal pipeline and maintain cognizance of customer health in order to proactively eliminate barriers to adoption and value.
• Participate with the Sales team to provide a strong customer-focused sales, orientation, and launch engagement process.
• Develop a deep, trusting relationship with customer key personnel and larger teams to seek and develop up-sell / cross-sell opportunities.
• Coordinate and conduct meetings between customers and Saviynt cross-functional teams to solve problems and advance customer adoption; ensure post-meeting follow-ups and action-item completion.
• Monitor and identify product utilization trends, providing feedback to Saviynt cross-functional teams to support continuous improvement -- finding ways to better support customer use cases and corporate identity strategies.
• Communicate with implementation Partners supporting Saviynt customers and seek opportunities to improve outcomes and relationships in the context of customer adoption.
• Plan education for customers on new features and releases.
• Act as the voice of the customer and collect feedback to drive continuous improvement across all areas including product.

Senior Customer Success Manager, Identity Security

Support Engineer

• Customer Communication
• Communicate with end users/businesses to explain the issue(s) and solutions for implementation and break fix related questions.
• Drive Customer Satisfaction through timely & quality communication.
• Troubleshooting Skills
• Troubleshooting of customer reported incidents and system alerts.
• Identify, debug and troubleshoot break fix issues and take it to a resolution.
• Provide technical analysis for incidents, resolution, and root cause analysis for the incidents.
• Respond and resolve issues within agreed service levels.
• Collaboration & Knowledge Sharing
• Publish knowledge articles for the incidents and service requests, prepare technical documents for the standard operating procedures.
• Domain
• Work closely with Internal Saviynt Labs Teams for activities related to supporting the IAM and CPAM service offerings.
• KPIs - Customer Satisfaction, Ticket & Resolution Quality, Productivity

Technical Support Engineer

Sales Development Rep

• Identify and generate sales opportunities through outbound prospecting and inbound lead follow-up.
• Work under pressure and use sales prospecting tools.
• Assess a company’s needs and cater outreach to each account/prospect.