Consultant

Springer Capital is a cross-border asset management firm specializing in real estate investment banking between China and the USA. We are offering a remote internship for aspiring operations and technology interns interested in data modeling, workflow automation, cloud platforms, and business intelligence. The internship offers flexible start and end dates. A short quiz or technical task may be required as part of the selection process.

Responsibilities:

• Assist with operations and administrative tasks supporting technology and HR teams.
• Support data modeling, validation, and reporting for business tracking.
• Collaborate on ETL processes and contribute to workflow automation.
• Work with cloud platforms (AWS, GCP, Azure) and databases (PostgreSQL, MySQL, MongoDB).
• Partner with analysts to improve data accessibility and performance.
• Document workflows and maintain trackers for internal reporting.
• Assist in troubleshooting and process improvement initiatives.

Please send your resume to talent@springercapital

Job Description – Senior Marketing Leader / Head of Marketing (IntraIntel.ai, Global)

About IntraIntel.ai

IntraIntel.ai is an enterprise AI platform for intelligent workflow automation, delivering instant intelligence from organizational data without migration. The platform’s multi‑agent architecture automates complex workflows in healthcare, manufacturing, finance and research, reducing manual effort and generating significant cost savings. We partner with customers across sectors to deploy AI agents that generate deep insights, automate compliance, and streamline operations.

Role Summary

The Marketing Executive will own IntraIntel.ai’s market strategy and execution in India, working as part of a global marketing team. This position requires a strategic thinker and hands‑on leader who can craft compelling narratives about end‑to‑end AI platform value, identify high‑potential customer segments, and drive demand generation across channels.

Key Responsibilities

• GTM Strategy & Positioning: Develop and execute a data‑driven marketing strategy that aligns IntraIntel’s AI‑native platform and multi‑agent architecture with market needs Define triggers and leading indicators for pipeline creation, including industry events, regulatory deadlines, and emerging technology trends.
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• Segmentation & Targeting: Identify and prioritize verticals (healthcare, clinical trials, finance, manufacturing, textiles, etc.) where the platform’s workflow automation and cost‑reduction capabilities offer maximum benefit. Develop buyer personas (C‑suite, clinical leaders, compliance officers, manufacturing heads) and craft tailored messaging.
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• Channel & Campaign Management: Determine the optimal mix of channels (digital marketing, content, partnerships, events, thought leadership) to reach decision‑makers. Build multi‑channel campaigns and refine them through ongoing analysis
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• Demand Generation & Lead Nurturing: Drive inbound and outbound marketing programs to build a qualified pipeline; use marketing automation and CRM tools to track conversions, nurture leads and measure ROI.
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• Product Marketing & Storytelling: Translate complex AI concepts (LLMs, agents, vector search, RAG) into clear value propositions. Create collateral, case studies, demos, webinars and industry presentations that showcase the platform’s ability to consolidate siloed AI tools into a single end‑to‑end solution.
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• Sales Enablement & Customer Engagement: Work closely with sales and solution engineering to enable smooth handoffs. Support customer conversations, demo sessions and proof‑of‑concept engagements. Become a trusted advisor to prospects by understanding their business and identifying fit.
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• Partnerships & Relationship Development: Build relationships with industry associations, channel partners, and potential enterprise customers in India, the U.S. and Dubai. Bring existing executive‑level connections to accelerate market entry and establish IntraIntel’s reputation.
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• Market Intelligence & Competitive Analysis: Monitor competitive offerings, industry regulations and emerging AI technologies. Generate insights that influence product strategy and roadmap
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• Performance Measurement: Define key performance indicators (KPIs) for lead generation, conversion, revenue, brand awareness and customer satisfaction. Report regularly on marketing performance and adjust tactics to meet targets.
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Qualifications

• Proven Marketing Leadership: 8–12 years in B2B SaaS marketing, including at least 3–5 years owning GTM strategy and execution. Demonstrated ability to develop multi‑channel campaigns and collaborate with cross‑functional teams
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• AI/Technology Domain Expertise: Understanding of AI platforms, machine learning, LLMs and workflow automation. Experience marketing complex technical products to both technical and business audiences.
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• Industry Exposure: Direct or indirect experience in healthcare, clinical research, manufacturing, finance or related sectors. Ability to understand regulatory contexts and decision‑making structures across these industries.
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• Global Mindset: Experience marketing to U.S. and Indian enterprises (knowledge of Dubai/GCC market is a plus). Ability to localize messaging without losing global consistency.
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• Relationship Builder: Strong network of senior contacts in relevant industries. Confidence interacting with CEOs, CTOs and CIOs; comfort delivering high‑stakes demos and presentations.
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• Analytical & Results‑Driven: Proficient in data analysis, market research and marketing automation tools. Track record of achieving or exceeding pipeline and revenue targets through marketing initiatives
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• Communication & Collaboration: Excellent written and verbal communication skills. Ability to translate technical concepts into business value. Effective collaborator across product, sales, engineering and executive teams.
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• Education: Bachelor’s degree in Marketing, Business or a related field; an MBA or equivalent advanced degree is preferred.
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Performance Expectations & KPIs

• Demand Creation: Meet or exceed quarterly targets for qualified leads and opportunities.
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• Pipeline Contribution: Deliver measurable contribution to revenue through marketing‑sourced pipeline.
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• Market Awareness: Achieve growth in brand visibility, share of voice and thought leadership within targeted industries.
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• Campaign Effectiveness: Improve conversion rates across the marketing funnel; demonstrate ROI for each channel.
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• Customer Insights: Provide feedback on customer pain points, competitive intelligence and feature requests to the product team.
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• Team Collaboration: Maintain strong alignment with sales, product and customer success teams.
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Additional Notes

This role offers the opportunity to build a marketing function from the ground up in a fast‑growing AI company. The successful candidate will have a blend of strategic vision, hands‑on execution capability, and a passion for AI‑enabled digital transformation.

Requirements:

 Time management and prioritising workload

 Industry Knowledge and Experience desirable

 Working knowledge of Microsoft office

 People management skills

 Excellent oral and written communication skills

 Presenting skills

Roles and Responsibilities:

 Manage the overall running of the sales team

 Develop and implement strategic sales plans that expand a company’s customer base and Solidify its presence

 Achieving growth and hitting sales targets by successfully managing the team and by assessing the teams’ strengths and weaknesses.

 Developing and implementing new sales initiatives, strategies and programmes to capture key demographics

 Liaise and develop professional relationships with team members.

 The setting of objectives for all team members.

 Conducting regular 1 2 1’s business day meeting

 Absence management

 Performance management

• Good experience in Javabackend/J2EE, Eclipse, Javascript, XML, Data Structures, Database 
• Should have good experience working in Springboot.
• Good experience in JSON / RESTful API / Web Services.
• Experience with Design Patterns.
• Experience in AWS and Queuing systems is an advantage
• Basic estimation experience
• Self starter and quick learner
• Should be able to work in a growing environment that is very dynamic and challenging
• Good oral and written communication skills
• Highly self motivated and directed
• Ability to work without a lot of supervision
• Experience in working in a team-oriented and collaborative environment.

• Leveraging your deep knowledge to provide technical leadership to take projects from zero to completion
• Architecting, building and maintaining scalable data pipelines and accessing patterns related to permissions and security
• Researching, evaluating and utilising new technologies/tools/frameworks centred around high-volume data processing
• Involving in building and deploying large scale data processing pipelines in a production environment
• Working with data scientists and other engineers to develop data pipelines for model development and productization
• Identifying gaps and implementing solutions for data security, quality and automation of processes
• Providing inputs on right tool options and model designs for use cases
• Identifying gaps and implementing solutions for data security, quality and automation of processes
• Designing scalable implementations of the models developed by our Data Scientists

Desired Candidate Profile

• 3+ years strong programming experience in PySpark and Python
• Knowledge in Python, SQL, Spark (Pyspark)
• Exposure to AWS/ Azure cloud tools and services like S3 Athena, Apache Nifi, Apache Airflow
• Analytical and problem-solving skills
• Knowledge in Scrum & code sharing Tech: Git, Jira
• Experience related to processing frameworks such as Spark, Spark Streaming, Hive, Sqoop, Kafka etc
• Deep understanding of measuring and ensuring data quality at scale and the required tooling to monitor and optimise the performance of our data pipelines
• Experience building data pipelines and data-centric applications using distributed storage platforms and shipping data production pipelines sourcing data from a diverse array of sources    

Required qualifications and experience:

• Graduate in any specialization
• Minimum 5 years of experience in service industry, with 2-3 years of managerial level experience, preferably in fields like Contact Centre Operations, E-commerce or Customer Interface Operations
• Experience in Contact Centre operations or experience working with front line and service delivery processes, especially e-commerce
• Good presentation and MS Excel skills
• Multiple team handling experience; handled mid-sized teams of at least 2-3 verticals and not just a single team

Roles and responsibilities:

• Perform quantitative assessment and continuous process improvement to drive business and efficiency.
• Manage the roster and deliver on the service levels as per the agreement.
• Raise alerts on downtimes or fluctuations.
• Deep-dive into escalations received primarily via social media and enable front-line to close the issues. Interact directly with customers too, if need be.
• Analyse various process gaps and raise request for new SOPs to close loop.
• Identify gaps in service delivery, agent behaviour, product knowledge and business functionalities.
• Identify improvement opportunities along with the respective Process Head and facilitate launching projects around these opportunities.
• Internal and external stakeholder management.
• Coordinate Application ID management and maintain records.
• Improve operational deliverables of the aligned LOBs of the outsourced partner.
• Ensure 100% adherence to SR, L2 and complaint TAT as per laid down norms.
• Work on better tagging of customer voice and better ways of process flows.
• Device proactive programs to reduce calls.
• Devise cross-functional and up-skilling training plans for current teams.
• Manage Transactional Training and Development of the trainers.