Technical Solutions Specialist, App

This is a senior-level Product Marketing Manager role for a B2B SaaS company.

The person will lead customer marketing and lifecycle marketing initiatives — meaning they focus on existing customers (engagement, retention, advocacy, upsell, cross-sell), not just new lead generation. They will also manage a team and collaborate closely with Sales, Product, and Customer Success.

Shift: 2:30 PM – 11:30 PM IST (US hours, EST overlap)

Location: Remote (India-based candidates okay)

Reports To: VP – Demand Generation & Revenue Strategy

Roles and Responsibilities:

1. Strategic Leadership

• Own and evolve the overall marketing strategy aligned with company goals.
• Build campaigns that drive customer engagement, retention, and advocacy (like NPS, testimonials, referrals, etc.).
• Create lifecycle campaigns to support upsell, cross-sell, and adoption.

2. Team Management

• Lead and mentor a team of marketers (content, demand gen, design, etc.).
• Maintain brand consistency using design tools like Canva.
• Track and report campaign performance.

3. Campaign Planning & Execution

• Run multi-channel campaigns (email, content, social media, paid ads, webinars).
• Manage lead nurturing and marketing automation workflows using tools like HubSpot or Marketo.
• Align with CRM (like Salesforce) for customer engagement.

4. Cross-Functional Collaboration

• Work with Customer Success → to understand customer needs and gather feedback.
• Work with Sales → to align messaging and support revenue goals.
• Work with Product → to communicate new features and collect user stories/case studies.

5. Analytics & Optimization

• Track KPIs such as customer engagement, campaign ROI, and conversion metrics.
• Analyze data, optimize campaigns, and manage marketing budgets.

Ideal Candidate Profile:

• Experience: 11–15 years total, with at least 5–6 years in people management
• Industry" B2B SaaS (must have)
• Specialization: Customer marketing / Lifecycle marketing (not just lead gen)
• Tools: HubSpot, Salesforce, Marketo, Pardot (any marketing automation + CRM tools)
• Soft Skills: Strong communication, leadership, analytical, and storytelling skills
• Extras: Experience using AI tools for content, Canva templates, and OKR alignment
• Work Culture Fit: Comfortable working remotely and cross-time zone (US hours)

AuxoAI is hiring a Senior Applied Scientist to design and deploy production-grade AI agents capable of structured reasoning, planning, and decision-making.

This role focuses on building intelligent agent systems that combine LLM-based reasoning with classical planning, search algorithms, and optimization techniques. The ideal candidate will develop robust agent architectures that operate reliably in real-world environments with constraints around latency, cost, uncertainty, and limited context windows.

You will work on advanced AI systems that power autonomous workflows, decision engines, and tool-driven agent ecosystems.

You will work on problems where existing architectures may not be sufficient, and will be expected to experiment with new approaches that combine machine learning, graph algorithms, and classical AI techniques to build reliable, production-grade systems.

Location - Mumbai/Bangalore/Hyderabad/Gurgaon (Hybrid - 3 Days a week in Office)

Responsibilities:

• Design and architect modular AI agent frameworks incorporating skill decomposition, tool orchestration, and persistent state tracking.
• Implement planning and search algorithms such as Monte Carlo Tree Search (MCTS), beam search, A search, heuristic search, and graph-based planning approaches* to support complex decision-making tasks.
• Develop decision-making loops that balance trade-offs between exploration vs. exploitation, cost vs. accuracy, and latency vs. reasoning depth.
• Build structured memory systems including episodic memory stores, semantic memory layers, and vector-based memory with optimized retrieval strategies.
• Design tool-calling architectures with strong execution validation, retry mechanisms, and failure recovery strategies.
• Develop evaluation frameworks to measure agent performance using task success metrics, rollout simulations, and multi-sample validation approaches.
• Improve agent performance through techniques such as distillation, synthetic trajectory generation, prompt compression, and context pruning.
• Deliver production-ready agent systems that meet operational requirements around reliability, cost efficiency, throughput, and observability.

Requirements

• 2-5 years of experience building machine learning or AI systems in production environments.
• Strong experience implementing search or planning algorithms beyond basic use cases, including tree search or heuristic-based planning approaches.
• Hands-on experience with Monte Carlo Tree Search (MCTS) or related decision-making frameworks.
• Strong understanding of state-space representations, heuristic design, and decision boundary trade-offs.
• Experience building or extensively customizing agent frameworks for real-world applications.
• Hands-on experience designing tool-use or function-calling architectures under practical system constraints.
• Strong Python engineering skills with a focus on scalable and reliable system design.

Nice to Have:

• Experience with reinforcement learning techniques such as policy gradients, value estimation, or reward modeling.
• Experience building multi-agent or collaborative agent systems.
• Experience designing evaluation frameworks for agent robustness and reliability.
• Experience optimizing LLM inference pipelines for latency, throughput, and cost efficiency.
• Familiarity with distributed task orchestration systems and large-scale AI workflow management.

MUST HAVE SKILLS

1. Minimum 5 +years of experience in.Net, MVC, and Web API.c#.

2. Minimum 2-3 years of experience in Angular 5, Angular6+.

3. Very good communication skills.

4. Experience with RESTful APIs to connect other backend services.

5. Should have developed more than 2 applications.

6. CI/CD, GIT

7. Good with Threading

8. Experience with performance improvement of applications.

Perks and Benefits

• Get to work with a highly passionate team of engineers.
• Open and embracing the culture for the latest hot technologies.
• A high level of freedom, experimentation and responsibility.
• Insurance and Snacks
• Performance Benefits

Roles and Responsibilities:

• Installation, configuration and upgrading of Oracle server software and related products.
• Establish and maintain sound backup and recovery policies and procedures.
• Take care of the Database design and implementation, including Patch Management and Version Control. Implement and maintain database security (create and maintain users and roles, assign privileges).
• Perform database/application tuning and performance monitoring.
• Setup and maintain documentation and standards.
• Plan growth and changes (capacity planning).
• Work as part of a team and provide 24x7 support when required.
• Perform general technical troubleshooting and give consultation to development teams.
• Interface with Oracle Corporation for technical support.
• Analyse potential impact of problem resolution and take corrective measures when needed.
• Root Cause Analysis.

Education, Skills and Experience required:

• Engineering or Technical Degrees (BE/ B.Tech/ ME/ M.Tech/ M.Sc / MCA)
• Minimum 4 years of relevant industry experience.
• Must have experience on multiple Hardware and Software Environments and be comfortable with complex heterogeneous systems environments.
• Must be an Oracle Certified Professional DBA (11g or above) with hands-on experience of RAC, RMAN.
• Good understanding of the Oracle database, related utilities and tools and underlying operating system.
• Excellent knowledge of the physical database design and all Oracle backup and recovery scenarios.
• Developing, managing and testing back-up and recovery plans. Data archival and space management.
• Ability to perform both Oracle and operating system performance tuning and monitoring.
• Good knowledge of Oracle security management and Oracle data integrity.
• Experience in code/data migration, database change management and data management through the various stages of the development life cycle.
• Sound knowledge of both database and system performance tuning and implemented application systems.
• Should have the ability to handle multiple projects and deadlines.
• Male candidates preferred as the role requires working in shifts.