Top Tech Jobs & Startup Jobs

Lead Salesforce implementation projects: gather and prioritize business requirements, design solutions, configure Salesforce per SOW, create and manage project documentation, set deadlines, coordinate with clients and success teams, and support launch and adoption.

Design and optimize Salesforce solutions for managed-services clients: lead discovery, architect platform implementations, remediate technical debt, improve performance and scalability, mentor teams, resolve escalations, and implement AI-driven features (Einstein/Agentforce).

Design and deliver Salesforce technical solutions and integrations. Lead technical workshops, create solution designs, specifications and user stories, implement Apex, Visualforce and LWC, integrate Salesforce with external systems via SOAP/REST and ETL tools, mentor teams, and ensure on-time, on-budget delivery and customer success.

Consult with clients to design, configure, and implement Salesforce solutions. Lead requirements workshops, translate needs into user stories, manage integrations, migrations, UAT, training, and oversee development teams. Emphasizes governance, technical debt management, deployment tooling, and ensuring ongoing client success.

Design and present tailored Salesforce solutions in pre-sales: lead discovery, architect multi-cloud (Data Cloud, MuleSoft, CPQ, AI) roadmaps, build PoCs/demos, create SOWs/proposals, and hand off to delivery while representing AllCloud at events.

Serve as a strategic HR Business Partner for German/DACH teams: advise managers on organization, culture, employee relations, change management, career development, compensation benchmarking, and compliance with DACH labor law while collaborating with global HR, finance, legal, and IT.

Lead end-to-end delivery of large-scale AWS and Generative AI programs, manage budgets and resources, author BRDs, oversee integrations and security/compliance, manage stakeholders, mitigate risks, and track KPIs across enterprise and defense environments.

Design, build, and operate ML and data infrastructure on AWS. Migrate and optimize databases and ETL pipelines, build data lakes, process structured and unstructured data, develop and deploy ML and deep learning models (Jupyter), leverage AWS AI/ML services, and support customer-facing data solutions and migrations.

Design, develop, and deploy Python-based backend services on AWS; build event-driven, high-availability systems using Step Functions, Lambda, API Gateway, DynamoDB/Aurora/Postgres, S3; integrate LLMs via AWS Bedrock and RAG frameworks; use Docker/Kubernetes/EKS and Kafka; implement observability with CloudWatch/X-Ray; collaborate with cross-functional teams to deliver AI-powered production systems.

Own the full sales cycle for AllCloud AWS services across mid-market/startup accounts. High-velocity prospecting, develop and close opportunities, engage multiple buyer personas including C-suite, manage virtual and face-to-face customer engagements, negotiate complex deals, and consistently exceed monthly and quarterly targets. Required to be in specified US offices two days per week.