<![CDATA[Offerte Lavoro Solan 2026 | Euspert]]> https://in.euspert.com/job-offers/provinces/solan-031 Solan: 5526 offerte di lavoro . Aggiornate in tempo reale. Cerca lavoro su Euspert, oltre 260.000 offerte di lavoro valide di aziende serie e garantite. In tutte le regioni e province. Candidati it-IT Euspert 30 https://it.euspert.com/assets/images/euspert-logo.png <![CDATA[Offerte Lavoro Solan 2026 | Euspert]]> https://in.euspert.com/job-offers/provinces/solan-031 144 68 https://in.euspert.com/job-offers/solan/data-analyst-35061656.html https://in.euspert.com/job-offers/solan/data-analyst-35061656.html <![CDATA[Data Analyst]]> About the Company

ZeTheta Algorithms Private Limited is a FinTech start-up which has been recently set up and is developing innovative AI tools. https://www.instagram.com/zetheta.official/


About the Role

We are seeking a talented and motivated student intern for a Data Analyst role. This is an extraordinary opportunity for a self-driven, analytically minded student with a passion for extracting meaningful insights from complex datasets and contributing to data-driven decision making.


About the Internship

As a Data Analyst intern, you will work on cutting-edge projects involving data collection, processing, analysis, and visualization in financial markets. You will have the opportunity to engage in multiple mini-projects across various functional areas of the company. The internship is designed to provide practical exposure to real-world data analysis and business intelligence.


Key Responsibilities

As part of the internship, you will work through a structured set of assignments designed to enhance your understanding of data analytics methodologies and applications. Your primary responsibilities will include the following.

  • Data Collection and Processing: Gather data from various sources and databases. Clean and pre-process data to ensure quality and usability. Develop and maintain data pipelines. Implement data validation procedures and quality checks.
  • Data Analysis and Modelling: Apply statistical methods to interpret datasets. Identify patterns, trends, and correlations in complex data. Develop predictive models and conduct hypothesis testing. Create data-driven solutions for business problems.
  • Data Visualization and Reporting: Create interactive dashboards and visual reports. Develop compelling data visualizations to communicate findings. Present analytical insights to stakeholders. Automate regular reporting processes.
  • Business Intelligence: Transform raw data into actionable business insights. Support decision-making processes with data-backed recommendations. Monitor key performance indicators and metrics. Identify opportunities for process optimization.
  • Capstone Project: Complete an end-to-end data analysis project including problem definition, data collection and preparation, analysis and modelling, visualization of results, and recommendations based on findings.


What You Will Learn

Practical experience with data analysis tools and techniques. Hands-on skills in data visualization and dashboard creation. Strong analytical and problem-solving abilities. Effective communication of technical findings to non-technical audiences. Knowledge of AI and machine learning applications in data analytics.


Who Should Apply

Student or fresh graduate from any academic discipline. Strong analytical and quantitative skills. Basic knowledge of data analysis tools such as Excel, SQL, Python, or R. Interest in working with data and deriving insights. Willingness to self-learn and work in a fast-paced environment.


Internship Details

Duration: Self-paced. Options of 15 days, 1 month, or 2 months within a period of 4 months.

Type: Unpaid

]]>
Tue, 26 May 2026 00:00:00 GMT
https://in.euspert.com/job-offers/solan/senior-ai-engineer-35061519.html https://in.euspert.com/job-offers/solan/senior-ai-engineer-35061519.html <![CDATA[Senior AI Engineer]]> Senior AI Engineer

KairoPact Private Limited

Location: Remote-first (India)  ·  Level: Senior  ·  Type: Full-time

Reports to: CTO  ·  Dotted line: COO


About KairoPact

KairoPact delivers AI-augmented strategy and programme consulting to NGOs, donors, and CSR organisations across South Asia, Africa, and the Middle East. We build proprietary AI infrastructure that amplifies human judgement — giving experienced practitioners research, synthesis, and structured analysis at a fraction of traditional consulting cost and time.

The Role

You will join as a Senior AI Engineer on the Axon™ platform — KairoPact’s internal AI intelligence engine — with a clear pathway to Lead AI Engineer as you grow into the role.

The role spans the full journey: from implementing technical strategy and architectural standards set by the CTO, to progressively owning day-to-day technical execution. You’ll work across the entire stack — agent pipelines, LLM routing, observability, retrieval, and data engineering.

This is not a role for someone who wants close management. It suits an engineer who is ready to own, and who sees a structured ramp-up as a springboard rather than a safety net.

What You’ll Do

●     Translate CTO architectural direction into actionable engineering — then progressively take greater ownership of those decisions as you build deep familiarity with the platform.

●     Drive full-stack delivery with the team — owning end-to-end implementation, not just individual components.

●     Design and evolve multi-agent pipelines — sequenced workflows with conditional routing, structured outputs, and human review gates.

●     Own the LLM routing layer — model selection, fallback logic, per-call cost tracking, and provider management across frontier models.

●     Drive end-to-end observability — every agent step, decision, token cost, and failure mode instrumented and reproducible.

●     Build knowledge retrieval systems — semantic search with structured filtering, namespace isolation, and data privacy controls.

●     Own backend data engineering — schema design, migrations, idempotency patterns, and multi-tenant isolation.

●     Lead code review and engineering standards; mentor and unblock the junior AI Engineer.

●     Keep the codebase and documentation in tight sync with the architecture specification.


What We’re Looking For

Required

●     4+ years of software engineering experience, with at least 2 years focused on production AI/ML systems.

●     Proven experience owning or leading delivery on an AI product or platform — not just contributing to one.

●     Deep hands-on experience with agentic AI systems — multi-step pipelines, tool use, structured orchestration, multi-agent coordination.

●     Strong Python: async programming, type annotations, clean architecture, testing discipline.

●     Experience with LLM routing or orchestration frameworks (e.g. LangChain, LlamaIndex, DSPy, or equivalent).

●     Able to engage with architectural decisions — ask good questions, understand trade-offs, and implement accurately from a technical spec.

●     Strong written communication — clear thinker who can document decisions and communicate trade-offs concisely.


Preferred

●     Experience with LLM observability tooling (LangSmith, Weights & Biases, Helicone, or similar).

●     FastAPI or similar async Python web frameworks.

●     Vector databases and hybrid retrieval architectures.

●     Docker and container-based development workflows.

●     Prior experience as a tech lead, staff engineer, or founding engineer.

●     Interest in the NGO, development sector, or social impact space.


What We Offer

●     Early, meaningful responsibility for a technically sophisticated platform — with a clear, named progression to Lead AI Engineer, not a vague promise.

●     Direct access to the CTO for architecture decisions, code review, and engineering craft — without layers in between.

●     The chance to mentor a junior engineer and shape how the team works.

●     Exposure to strategy consulting in the NGO/CSR sector — work that has real-world impact.

●     Fully remote, async-first — we care about output, not hours.


KairoPact is an equal opportunity employer. We actively welcome applications from candidates of all backgrounds, including those underrepresented in the technology industry.


To apply, send your CV, a link to your GitHub profile or equivalent work samples, and a brief note on why this role to .


]]>
Tue, 26 May 2026 00:00:00 GMT
https://in.euspert.com/job-offers/solan/golang-developer-35061397.html https://in.euspert.com/job-offers/solan/golang-developer-35061397.html <![CDATA[GoLang Developer]]> 🚀 Senior Full-Stack Developer (Data Platform) — Remote

 

📍 Role Details

Role: Senior Full-Stack Developer (Data Platform)

Experience: 5+ Years

Location: Remote

Employment Type: Full-time

 

🏢 About Mailin.ai

Mailin.ai is building infrastructure for scalable cold outreach. We help businesses create and manage large numbers of email accounts through automation, dedicated servers, and API-driven workflows — enabling significantly better deliverability and lower operational costs compared to traditional providers.


As we expand our platform capabilities, we’re now building a B2B data platform that will power internal systems, customer-facing APIs, and data-driven workflows at scale.


We operate as a fully remote, high-ownership engineering team focused on speed, execution, and building technically strong products.

 

🔍 About the Role

We’re hiring a Senior Full-Stack Developer to help architect, build, and own our core data platform.

You’ll initially work alongside our lead engineer to ship the first production version, then take long-term ownership of the platform as it scales.


This is a highly ownership-driven role for someone comfortable working on API-first systems, indexing/search infrastructure, and scalable B2B SaaS products.

 

🛠️ What You’ll Build

You’ll work on a B2B data platform that:

•          Ingests and indexes large datasets from third-party vendors

•          Serves data through a performant API layer

•          Powers a clean, scalable web application experience

•          Handles efficient querying, indexing, and search workflows

 

The data ingestion pipeline itself is handled separately — your primary focus will be:

•          API architecture

•          Query performance

•          Search/indexing systems

•          Platform scalability

•          Web application development

 

💻 Tech Stack

•          Backend/API: GoLang

•          Frontend: Laravel + Vue.js

•          Search & Indexing: Elasticsearch, Typesense, or equivalent

 

✅ Required Skills

•          5+ years of full-stack development experience

•          Strong production experience with Go, specifically building APIs

•          Strong experience with Laravel and Vue.js

•          Hands-on experience with Elasticsearch, Typesense, or similar indexing/search tools

•          Experience building API-first platforms or data-heavy products

•          Background working in B2B SaaS environments

•          Ability to work independently and take ownership of a product area

 

➕ Nice to Have

•          Experience scaling APIs under real production/query load

•          Familiarity with vendor data ingestion or ETL-adjacent workflows

•          Experience working in startup or high-ownership environments

 

🌟 Why Join Mailin.ai

•          Build core infrastructure from the ground up

•          High ownership and technical autonomy

•          Work on real scaling and performance challenges

•          Fully remote engineering culture

•          Opportunity to shape long-term platform architecture

]]>
Tue, 26 May 2026 00:00:00 GMT
https://in.euspert.com/job-offers/solan/junior-devops-engineer-ai-startup-35061265.html https://in.euspert.com/job-offers/solan/junior-devops-engineer-ai-startup-35061265.html <![CDATA[Junior DevOps Engineer - AI startup]]> About Founding Teams


Founding Teams is an AI pre accelerator and talent platform. We help Founders hire engineers, designers and marketing talent for their AI startup.


About the Role


As our Lead DevOps Engineer, you’ll design, implement, and maintain scalable, reliable, and secure infrastructure and CI/CD pipelines. You’ll mentor a team of DevOps engineers, partner closely with development teams, and drive best practices around automation, monitoring, and incident response.


Key Responsibilities


  • Infrastructure Architecture:
  • Lead design of cloud-native (AWS/Azure/GCP) microservices and data-platform architectures.
  • Define Infrastructure-as-Code (IaC) standards using tools like Terraform or CloudFormation.
  • CI/CD & Automation:
  • Build and optimize end-to-end pipelines (Jenkins, GitLab CI, GitHub Actions).
  • Automate testing, packaging, and deployments for containerized applications (Docker, Kubernetes).
  • Monitoring & Observability:
  • Implement logging, metrics, tracing (Prometheus, Grafana, ELK/EFK stack, Datadog, New Relic).
  • Establish SLOs/SLIs, alerting, and runbooks for on-call rotations.
  • Security & Compliance:
  • Integrate security scanning (SAST/DAST) into pipelines (e.g. SonarQube, Snyk).
  • Enforce IAM best practices, secrets management (Vault, AWS KMS, Azure Key Vault).
  • Performance & Cost Optimization:
  • Right-size cloud resources, optimize autoscaling, and manage reserved instances.
  • Conduct regular architecture reviews to identify bottlenecks.
  • Leadership & Mentorship:
  • Coach and grow a team of DevOps/SRE engineers.
  • Drive cross-functional training on DevOps tooling and practices.
  • Incident Management:
  • Lead post-mortem analyses and continuous improvement of incident response processes.


Required Skills & Experience


  • 5+ years in DevOps, SRE, or infrastructure engineering roles
  • Cloud Expertise: Deep hands-on experience with at least one major cloud provider (AWS, Azure, or GCP)
  • IaC & Configuration Management:
  • Terraform, AWS CloudFormation, or Pulumi
  • Ansible, Chef, or Puppet
  • CI/CD: Jenkins, GitLab CI/CD, GitHub Actions, or CircleCI
  • Containerization & Orchestration: Docker, Kubernetes (EKS/GKE/AKS)
  • Monitoring & Logging: Prometheus/Grafana, ELK/EFK, Datadog, New Relic, or equivalent
  • Scripting & Automation: Python, Go, Bash, or similar
  • Security Tools: Familiarity with Vault, AWS IAM, security scanners (Snyk, Trivy)
  • Networking Fundamentals: VPCs, load balancers, DNS, CDN, firewalls
  • Soft Skills:
  • Strong communication and collaboration across teams
  • Proven leadership: mentoring, code reviews, and guiding best practices


Nice-to-Haves


  • Database Operations: Experience with managed databases (RDS, Cloud SQL, Cosmos DB) and NoSQL (DynamoDB, MongoDB)
  • Serverless & Edge: Lambda/FaaS, CloudFront, Akamai, or Fastly
  • Observability Platforms: OpenTelemetry, Jaeger, Splunk
  • Cost-Management: AWS Cost Explorer, Azure Cost Management
  • Certifications: AWS Certified DevOps Engineer, Certified Kubernetes Administrator (CKA), or equivalent
]]>
Tue, 26 May 2026 00:00:00 GMT
https://in.euspert.com/job-offers/solan/lead-front-end-developer-ai-startup-35061147.html https://in.euspert.com/job-offers/solan/lead-front-end-developer-ai-startup-35061147.html <![CDATA[Lead Front End Developer - AI startup]]> Company Description

FoundingTeams .ai is a AI pre accelerator and talent platform. We help AI founders to find the best engineering, design and marketing talent.

Lead Frontend Engineer


About the Role


We’re looking for a Lead Frontend Engineer to own the architecture, development, and quality of our web applications. You’ll be responsible for building fast, scalable, and user-friendly interfaces while setting frontend standards and mentoring other engineers.

This role is hands-on and strategic — you’ll write production code, make technical decisions, and work closely with product, design, and backend teams.


Key Responsibilities


Technical Leadership

  • Own the frontend architecture and technical roadmap
  • Define and enforce coding standards, performance, and best practices
  • Lead code reviews and mentor frontend engineers
  • Make decisions on frameworks, libraries, and tooling


Development

  • Build and maintain high-quality web applications
  • Translate designs and product requirements into clean, performant UI
  • Implement responsive, accessible, and cross-browser experiences
  • Integrate frontend applications with backend APIs
  • Optimize applications for speed, scalability, and usability


Collaboration

  • Work closely with:
  • Product managers to shape requirements and delivery
  • Designers to ensure pixel-perfect UI and great UX
  • Backend engineers on APIs, data contracts, and performance
  • Participate in sprint planning, estimation, and technical discussions


Quality & Delivery

  • Ensure frontend code is:
  • Testable
  • Maintainable
  • Well-documented
  • Own frontend release processes and CI/CD pipelines
  • Monitor performance, bugs, and user feedback


Required Skills & Experience


Must Have


  • 5+ years of frontend development experience
  • Strong expertise in JavaScript / TypeScript
  • Extensive experience with React.js (or similar modern frameworks)
  • Solid understanding of:
  • HTML5, CSS3, modern layout systems
  • State management (Redux, Zustand, React Query, etc.)
  • REST APIs and async data handling
  • Experience building and maintaining production web apps
  • Familiarity with Git, CI/CD, and modern build tools
]]>
Tue, 26 May 2026 00:00:00 GMT
https://in.euspert.com/job-offers/solan/user-experience-designer-35060001.html https://in.euspert.com/job-offers/solan/user-experience-designer-35060001.html <![CDATA[User Experience Designer]]> About the Company

Zetheta Algorithms Private Limited is a FinTech start-up which has been recently set up and is developing innovative AI tools.


About the Role - UI/ UX Engineer Intern (unpaid - remote)


Responsibilities -

  • Create visually appealing designs using Canva and Figma.
  • Develop wireframes, prototypes, and user flows.
  • Collaborate with team members to transform ideas into design concepts.
  • Revise designs based on feedback to ensure a user-friendly experience.
  • Work on React.Js


Qualifications - Undergraduate/ Freshly graduated


Required Skills

  • Basic understanding of UI/UX design principles.
  • Proficiency in design tools such as Canva and Figma.
  • Understanding of Git and GitHub.
  • Strong attention to detail and effective communication skills.
  • Ability to work independently in a remote setting.
  • Programming skills.


Preferred Skills

  • Experience in creating mockups to present to teams.
  • Collecting feedback and creating a quality piece of work.
  • Comfortable with building sitemaps, wireframes, and prototypes.
  • Strong creative and design skills.
  • Familiar with various design technologies.


Pay range and compensation package - Unpaid

  • Tenor: 15 days to 6 months (self paced)


Application Process

  • Join us through online enrolment — simply submit your updated CV. We do not conduct any interview or assessment. All motivated early career talent are welcome to take up the role.
]]>
Tue, 26 May 2026 00:00:00 GMT
https://in.euspert.com/job-offers/solan/investment-banking-analyst-35059870.html https://in.euspert.com/job-offers/solan/investment-banking-analyst-35059870.html <![CDATA[Investment Banking Analyst]]> About the Company

ZeTheta Algorithms Private Limited is a FinTech start-up which has been recently set up and is developing innovative AI tools. https://www.instagram.com/zetheta.official/


About the Role

We are seeking a talented and motivated student intern for a Debt Investment Banking role. This is an extraordinary opportunity for a self-driven, financially skilled student with an eye for excellence.


About the Internship

As a Debt Investment Banking intern, you will work on cutting-edge projects involving debt investment banking with simulations. You will engage with real-world financial projects spanning fixed income, structured finance, risk management, and artificial intelligence applications in finance. You will have the opportunity to engage in multiple mini-project simulations across a large number of functional areas. It is a high-impact, portfolio-building opportunity that provides valuable industry experience.


Key Responsibilities

  • Fixed Income Analysis and Valuation: Calculate Yield to Maturity (YTM) and assess returns on different types of fixed-income securities. Determine Present Value (PV) of securities and assess market pricing strategies.
  • Debt Investment Strategies: Compare different investment options including direct corporate bonds, non-convertible debentures (NCDs), and debt mutual funds.
  • Risk and Portfolio Management: Assess interest rate risks in structured finance instruments considering prepayment risk (Macaulay and Effective Duration). Quantify bond price sensitivity to market changes (Interest Rate Risk and Convexity). Develop machine learning models to estimate portfolio risk (Value at Risk). Evaluate AI-driven risk profiling tools for investors (Virtual Risk Analyser).
  • Credit Research and Risk Analysis: Clean and analyse economic data to assess sovereign risk profiles. Build AI-driven models to predict corporate bond defaults (Probability of Default Modelling).
  • Quantitative Finance and AI in Debt Markets: Construct and analyse yield curves from market data (Zero-Coupon Yield Curve). Understand AI tools to enhance financial modelling in Microsoft Excel.
  • Investment Banking and Structured Finance: Examine spreads between investment-grade and high-yield corporate bonds (Credit Spread Analysis). Evaluate risks and returns of different Asset-Backed Securities types including credit cards and auto loans. Determine optimal bond issuance for a solar power project (Project Finance Modelling).


What You Will Learn

Practical exposure to debt investment banking with multi-functional area experience. Strong analytical and financial modelling skills through simulations. Enhanced presentation and communication skills. Knowledge of AI applications in finance.


Who Should Apply

Student or fresh graduate from any academic discipline. Strong analytical and problem-solving skills. Basic knowledge of Microsoft Office. Willingness to self-learn and work in a fast-paced environment.


Internship Details

Duration: Self-paced. Options of 1 month or 2 months within a period of 4 months.

Type: Unpaid.


Application Process

Join us through online enrolment — simply submit your updated CV. We do not conduct any interview or assessment. All motivated early career talent are welcome to take up the role.

]]>
Tue, 26 May 2026 00:00:00 GMT
https://in.euspert.com/job-offers/solan/junior-machine-learning-engineer-ai-startup-35059492.html https://in.euspert.com/job-offers/solan/junior-machine-learning-engineer-ai-startup-35059492.html <![CDATA[Junior Machine Learning Engineer - AI startup]]> Job description


Founding Teams is a stealth AI Tech Incubator & Talent platform. We are supporting the next generation of AI startup founders with the resources they need including engineering, product, sales, marketing and operations staff to create and launch their product.


The ideal candidate will have a passion for next generation AI tech startups and working with great global startup talent.


About the Role:


We are looking for an experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machine learning team.


Responsibilities:


  • Lead the end-to-end development of machine learning models, from prototyping to production deployment.
  • Architect scalable ML pipelines and infrastructure.
  • Work closely with data scientists to transition research models into robust production systems.
  • Collaborate with engineering teams to integrate ML models into applications and services.
  • Manage and mentor a team of machine learning and data engineers.
  • Establish best practices for model development, evaluation, monitoring, and retraining.
  • Design experiments, analyze results, and iterate rapidly to improve model performance.
  • Stay current with the latest research and developments in machine learning and AI.
  • Define and enforce ML model governance, versioning, and documentation standards.

Required Skills & Qualifications:


  • Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD preferred but not required).
  • 5+ years of professional experience in machine learning engineering.
  • 2+ years of leadership or technical mentoring experience.
  • Strong expertise in Python for machine learning (Pandas, NumPy, scikit-learn, etc.).
  • Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.
  • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning).
  • Experience building and maintaining ML pipelines and data pipelines.
  • Proficiency in model deployment techniques (e.g., serving models with REST APIs, gRPC, or via cloud services).
  • Hands-on experience with cloud platforms (AWS, GCP, Azure) for model training and deployment.
  • Deep understanding of MLOps concepts: monitoring, logging, CI/CD for ML, reproducibility.
  • Experience with Docker and container orchestration (e.g., Kubernetes).

Preferred Skills:


  • Experience with feature stores (e.g., Feast, Tecton).
  • Knowledge of distributed training (e.g., Horovod, distributed PyTorch).
  • Familiarity with big data tools (e.g., Spark, Hadoop, Beam).
  • Understanding of NLP, computer vision, or time series analysis techniques.
  • Knowledge of experiment tracking tools (e.g., MLflow, Weights & Biases).
  • Experience with model explainability techniques (e.g., SHAP, LIME).
  • Familiarity with reinforcement learning or generative AI models.

Tools & Technologies:


  • Languages: Python, SQL (optionally: Scala, Java for large-scale systems)
  • ML Frameworks: TensorFlow, PyTorch, scikit-learn, XGBoost, LightGBM
  • MLOps: MLflow, Weights & Biases, Kubeflow, Seldon Core
  • Data Processing: Pandas, NumPy, Apache Spark, Beam
  • Model Serving: TensorFlow Serving, TorchServe, FastAPI, Flask
  • Cloud Platforms: AWS (SageMaker, S3, EC2), Google Cloud AI Platform, Azure ML
  • Orchestration: Docker, Kubernetes, Airflow
  • Databases: PostgreSQL, BigQuery, MongoDB, Redis
  • Experiment Tracking & Monitoring: MLflow, Neptune.ai, Weights & Biases
  • Version Control: Git (GitHub, GitLab)
  • Communication: Slack, Zoom
  • Project Management: Jira, Confluence


]]>
Tue, 26 May 2026 00:00:00 GMT
https://in.euspert.com/job-offers/solan/accountant-35059232.html https://in.euspert.com/job-offers/solan/accountant-35059232.html <![CDATA[Accountant]]> About the Company

ZeTheta Algorithms Private Limited is a FinTech start-up which has been recently set up and is developing innovative AI tools. https://www.instagram.com/zetheta.official


About the Role

As an Accountant intern, you will work on practical projects involving financial accounting, financial analysis, and compliance reporting. You will have the opportunity to engage in multiple mini-projects or take up a focused accounting research project. The project experience is designed to provide practical exposure to accounting in the context of asset management, trading, and financial technology. We provide problem statements, methodology, and after you submit your solution, we also showcase a sample solution. You can use our sample solution to modify your project submission and expand further based on suggestions given. You can also opt for your own research-based accounting solution to develop or model.


Responsibilities

Prepare and analyse financial statements, balance sheets, and income statements for financial entities. Assist in bookkeeping, journal entries, ledger maintenance, and account reconciliation. Support financial reporting and regulatory compliance for investment firms and trading entities. Conduct cost analysis, budget preparation, and variance analysis for portfolio management operations. Apply accounting principles to financial problems such as fair value accounting, derivative accounting, and investment valuations. Work with financial data including company reports, transaction records, and regulatory filings. Use Excel and accounting software to prepare, analyse, and present financial information. Participate in projects related to financial statement analysis, audit preparation, taxation, and financial compliance.


Who Should Apply

Any student with basic knowledge of accounting principles or a willingness to learn. A foundation in financial accounting, corporate accounting, or cost accounting is helpful. Use of all LLMs and NLP tools is permitted to help students develop solutions. Strong attention to detail and analytical skills. Ability to self-learn and work independently in a remote, flexible environment.


Internship Details

Duration: Self-paced. Options of 15 days and 1 to 6 months.

Type: Unpaid.


Application Process

  • Join us through online enrolment — simply submit your updated CV. We do not conduct any interview or assessment. All motivated early career talent are welcome to take up the role.
]]>
Tue, 26 May 2026 00:00:00 GMT
https://in.euspert.com/job-offers/solan/strategic-accounts-growth-lead-us-enterprise-technology-staffing-35059112.html https://in.euspert.com/job-offers/solan/strategic-accounts-growth-lead-us-enterprise-technology-staffing-35059112.html <![CDATA[Strategic Accounts Growth Lead — US Enterprise Technology St...]]> Strategic Accounts Growth Lead — US Enterprise Technology Staffing

Remote (India) · US Business Hours · STEPS Talent


STEPS Talent is a precision hiring firm specializing in difficult-to-fill roles across ERP, Cloud, Data & AI, Cybersecurity, and enterprise technology transformation environments. We partner with consulting firms, enterprise technology organizations, and MSP/VMS ecosystems where hiring decisions carry real operational and financial impact.


We are hiring a Strategic Accounts Growth Lead to support enterprise account expansion, outbound execution, and strategic relationship development across US enterprise technology staffing environments.


This role is specifically aligned to candidates with direct experience in:

  • IT staffing
  • ERP staffing
  • enterprise technology staffing
  • consulting staffing
  • MSP / VMS / vendor ecosystems
  • enterprise contract staffing
  • or enterprise technology services environments


The Role:

  • You will work directly with the leadership team to help expand enterprise relationships across consulting firms, MSP/VMS programs, and enterprise technology organizations throughout the US market.
  • This is a highly execution-oriented individual contributor role focused on outbound activity, account penetration, relationship expansion, and pipeline growth.


Responsibilities:

  • Identify and cultivate new enterprise account opportunities aligned to STEPS’ staffing focus
  • Execute targeted outbound campaigns across US enterprise technology staffing accounts
  • Develop and expand relationships within consulting firms, enterprise IT organizations, and MSP/VMS ecosystems
  • Support account penetration across ERP, Cloud, Data & AI, Cybersecurity, and enterprise transformation environments
  • Drive dormant-account reactivation efforts across prior enterprise staffing relationships
  • Partner closely with recruiting and delivery teams to support active staffing initiatives
  • Maintain CRM discipline, pipeline visibility, and structured follow-up cadence
  • Contribute to pipeline and gross-profit growth targets through strategic account development


Required Experience:

  • 5–8 years of experience in enterprise IT staffing, ERP staffing, enterprise technology staffing sales, or strategic account growth
  • Experience operating within consulting, MSP/VMS, vendor-management, or enterprise technology staffing ecosystems
  • Comfort engaging US-based stakeholders across enterprise staffing and consulting environments
  • Strong understanding of enterprise staffing workflows, relationship development, and outbound execution
  • Ability to operate independently with accountability and execution discipline
  • Existing enterprise staffing relationships and ecosystem familiarity are strongly preferred.


Compensation:

  • Base salary: 16–22 LPA, calibrated to depth of enterprise staffing and account-growth experience
  • Uncapped performance incentives tied to qualified meetings, pipeline growth, account expansion, and revenue contribution
  • There is no fixed ceiling on earnings in this role. Compensation growth is tied directly to execution and revenue impact.


What Success Looks Like:

  • Measurable contribution to pipeline and revenue growth
  • Consistent outbound execution into enterprise technology staffing accounts
  • Strong stakeholder research and account mapping
  • Qualified enterprise relationship and staffing opportunity generation
  • Meaningful account expansion momentum
  • Clean CRM and follow-up discipline


Baseline Expectations:

  • 50–75 targeted outbound touches per week
  • 15–25 new enterprise stakeholders researched weekly
  • 5–10 dormant-account reactivation touches per week
  • Daily CRM updates and follow-up management
  • Weekly pipeline visibility reporting
  • 10–15 qualified enterprise staffing and strategic account meetings per month by Day 90


Working Hours:

Aligned to US business hours (Arizona MST).


To apply, please email your resume along with:

  • examples of enterprise staffing accounts you helped penetrate
  • examples of measurable pipeline, revenue, or gross-profit contribution
  • MSP / VMS / vendor programs you have worked with
  • how you personally measure success in enterprise staffing growth environments


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Tue, 26 May 2026 00:00:00 GMT