Digital Marketing - Head

Experience: 2+ Years

We're looking for a Fashion Copywriter who knows how to turn collections, campaigns, and brand stories into compelling creative content. If fashion, culture, trends, and storytelling inspire you, this is the role for you.

What You'll Do

• Write creative copy across digital campaigns, websites, retail assets, social media, emails, and product launches.
• Develop distinctive brand voices for fashion and lifestyle brands.
• Collaborate with creative teams to bring campaigns and concepts to life.
• Translate strategic briefs into engaging, consumer-focused storytelling.
• Review and refine content while maintaining creative excellence.

What We're Looking For

• 2+ years of copywriting experience in fashion, apparel, luxury, lifestyle, or retail brands.
• Strong conceptual thinking and creative storytelling abilities.
• Experience writing for digital-first campaigns.
• Understanding of global fashion trends and consumer behavior.
• Experience writing for US/Canada audiences is a plus.
• Excellent writing, editing, and attention to detail.

Why Join Us

• Work with leading fashion and lifestyle brands.
• Join a collaborative, idea-driven creative team.
• Build campaigns with global impact.
• Enjoy 4 Work From Home days every month.

Data Science Analyst – Remote 

Springer Capital is a real estate investment firm based in Chicago, Shanghai, and Hong Kong. Springer engages in Capital Advisory for APAC Private Equity and Asset Management making financial investments in real estate and other sectors in US markets. 

Springer seeks an Data Science Analyst to join the Technology side of the company. The internship can be onsite in Shanghai or conducted remotely. The start date of the internship is flexible.  

Job Highlights 

As an intern for the data analysis team, you will be focusing on researching and developing tools and workflow that automate some parts of our business automation.  As business automation is important throughout the firm, you will have the opportunity to collaborate with teams across Springer. 

What you will do as an intern: 

Collect data from various sources, including databases, APIs, and web scraping tools. 

Clean and process raw data to ensure it is accurate and consistent. 

Analyze data to extract insights using computational tools, such as Excel, SQL, and Python. 

Communicate insights in a clear and concise manner with the manager along your progress.  

Implement solutions based on insights you discovered to improve business processes or solve problems. 

Our commitment to your development: 

Overarching and detailed training materials before interns hit the desk 

Interns will have group calls with the director and supervisors regularly for up-to-date and constructive feedback 

Greater leadership and responsibilities will be given to interns based on work quality 

Who we are looking for: 

Strong experience using Excel.  

Passionate about analyzing data.  

Experience (preferred) with data analysis.  

Research and problem-solving abilities 

About Springer:   

Springer Capital focuses on raising capital and solving capital issues in the real estate private equity market. We have experience raising capital for clients across the entire capital spectrum. Client relationships are a top priority for Springer. We establish long-term relationships with investors and lenders as well as have active dialogues with private equities, family offices, pension funds, infrastructure funds, and independent sponsors across Asia. With Springer’s expertise in the housing market, we ensure all parties are aligned in land acquisitions, development, improvements, sales, and lease-up. 

Technical and legal Information 

The internship enrollment period is flexible. The expected hours are 20 per week for ~3 months. Upon completion, you will receive an internship confirmation letter, or you can apply to your school for internship credit.  

Experience: 5+ years production software engineering, with 2+ years working directly on LLM or agent systems in production. 

Location: Remote 

To streamline and fast-track screening, please submit your details here (if you haven’t already): https://airtable.com/appbtkr4odapnb5I6/pagqo91lKv3VJg3GT/form 

We’ll review your responses as part of the initial screening process. Please make sure you complete and submit all details through the form to be considered for the next stage. Submissions outside the form may not be considered.

Why This Role Matters

Terrabase builds agent infrastructure that enterprise customers rely on daily for SQL generation, forecasting, data analysis, and artifact delivery. Our orchestration layer routes between specialized sub-agents, manages typed handoff contracts, runs structured eval suites, and enforces correctness across every turn.

This is not a research-prototype role. You will build and evolve agent architecture, but always in service of making the system observable, typed, evaluated, recoverable, and boringly reliable in production.

What You Will Do

Own the harness architecture and middleware stack. Our LangGraph orchestrator routes between sub-agents through a layered middleware stack: file upload handling, source resolution, local context, workspace sync, state hydration, aggregation barriers, and typed handoff contracts. You will extend this stack, enforce its contracts in code, and keep it operational as routing logic and agent surfaces evolve.

Maintain typed contracts and boundaries. Agent handoffs at Terrabase carry typed contracts with barrier conditions and retry predicates. You will design these contracts, enforce them with strict typing, manage backward compatibility when contracts change, and write the contract tests that prevent silent regressions.

Own the eval suites. We run structured eval suites across routing decisions, context-resolution accuracy, multi-turn coherence, visual reference alignment, and artifact correctness. You will extend coverage, write new evals where gaps exist, and build CI gates that block releases when regressions are detected. A routing change or prompt change with no eval coverage does not ship.

Triage production failures and close the loop. When an agent turn fails in production, you will trace it in LangSmith, identify the failure class, and convert it into a durable regression test. You will own the release gates, keep prompts and runtime contracts in sync, manage feature flag rollout risk, and remove dead paths as the system evolves.

Own SQL and artifact correctness. Our agents generate SQL over customer schemas and produce structured artifacts (reports, dashboards, data sheets) under a strict schema contract. You will own the correctness layer: source grounding, schema-aware validation, provenance surfaces, and the eval infrastructure that catches generated artifact failures before they reach customers.

Build and maintain HITL workflows. Human-in-the-loop checkpoints let users intervene, redirect, or approve mid-chain. You will design these workflows, enforce their resumable state contracts, and ensure they degrade gracefully when interrupted.

Instrument for traceability. You will extend LangSmith tracing coverage, add structured span annotations, and build the tooling that lets us diagnose a bad agent turn from production trace data alone, without requiring a local reproduction.

What We Are Looking For

• 5+ years production software engineering, with strong Python fundamentals
• 2+ years working hands-on with LLM-based systems: agent loops, tool use, context management, or inference pipelines
• Experience with LangGraph, LangChain, OpenAI/Anthropic tool-use systems, or equivalent multi-step agent/runtime orchestration
• Practical eval engineering: you have built or extended eval harnesses, written automated test cases for agent behavior, and treated evaluation as an ongoing engineering discipline
• Strong engineering hygiene: strict typing, small interfaces, contract tests, clear schema migrations, and CI discipline
• Ability to debug from production traces and artifacts, not only local reproductions
• Comfort working across prompts, Python runtime code, TypeScript product surfaces, data systems, and eval infrastructure
• Systems thinking: you design for observability, recovery, and state management, not just the happy path
• Maintenance ownership mindset: you triage, close loops, and leave systems more debuggable than you found them
• Pragmatic judgment: you can distinguish between reliability-critical infrastructure and speculative abstraction

Bonus Points

• HITL workflow design: checkpoints, approvals, mid-chain interrupts, resumable state
• Context engineering depth: chunking strategies, retrieval-augmented generation, semantic routing, re-ranking
• Experience with LangSmith, Weights and Biases, or similar trace and evaluation platforms
• Prior work shipping agent systems to enterprise customers where SQL or data correctness is a hard requirement
• Experience with mypy, Pydantic contracts, or strict typing disciplines in a production Python codebase

Life at Terrabase

We are a sharp, focused, fully remote team building agent infrastructure that enterprise customers trust with their data. You will work directly alongside the engineer who designed this harness, with broad ownership, generous compute budgets, and a culture that treats reliability as a product requirement, not a research topic.

Terrabase is an equal-opportunity employer. We celebrate diversity and are committed to building an inclusive environment for every team member.

Role – Devops

Experience 3 – 6 Years

Roles & Responsibilities –

• 3-6 years of experience in deploying and managing highly scalable fault resilient systems
• Strong experience in container orchestration and server automation tools such as Kubernetes, Google Container Engine, Docker Swarm, Ansible, Terraform  

• Strong experience with Linux-based infrastructures, Linux/Unix administration, AWS, Google Cloud, Azure

• Strong experience with databases such as  MySQL, Hadoop, Elasticsearch, Redis, Cassandra, and MongoDB.

• Knowledge of scripting languages such as Java, JavaScript, Python, PHP, Groovy, Bash.

• Experience in configuring CI/CD pipelines using Jenkins, GitLab CI, Travis.
• Proficient in technologies such as Docker, Kafka, Raft and Vagrant

• Experience in implementing queueing services such as RabbitMQ, Beanstalkd, Amazon SQS and knowledge in ElasticStack is a plus.

• Develop, execute & deliver the annual and long-term strategic business plans to ensure delivery of the full potential of the brand at the pan India level
• Guide team in translation of strategy into business plans, brand positioning and go – to market strategies
• Identify and research potential markets to launch the new retail stores and advise management of new business development opportunities. 
• Prepare and execute the marketing strategy for Company’s online & offline business model.
• Responsible for the launch and development of the fashion brand as per the agreed terms and conditions.
• Ensure the financial performance and revenue targets of the brand (online and offline) are achieved through analysis of its Profit & Loss and KPIs.
• Manage relations with key business stakeholders to develop trusting business partnerships.
• Support the day-to-day management of the brand.
• Advice and support stores with all areas of their business including store standards, stock management, customer relationship, staffing and recruitment, finances and payments, cost control, expansion.
• Develop sales and marketing tools, work out on sales promotional activities to support the sales plans.
• Develop the store audit plan and conduct the audits.
• Contributing to and upholding the standards for store compliance as outlined in the operating standards manuals
• Periodically reviewing layout and design of stores manuals and other communications tools for user-friendliness and completeness

• MBA/Post Graduate in Operations from a reputed institution
• Must have experience in translating vision/broad strategies into specific targets and tasks.
• Ability to deliver solution and provide expertise with speed and imagination
• Should possess a high degree of business acumen and must have a good understanding of P&L
• Strong research and analytical skills
• Flexible and able to multi-task; can work within a fast-moving environment
• Must have good connections and networking in the retail & eCommerce ecosystem