Corporate Alliance Executive

Job description:

Accountant

Civicon Ventures,a growing infrastructure services company, incorporated in February 2025, with a strong focus on railway sector projects. Headquartered in Ulhasnagar, Maharashtra, Civicon is actively engaged in both construction and maintenance assignments, working with government, semi-government, and private entities.

JD: We are currently looking for a Accountant to join our growing team at our Mumbai - Kayan/ Ullasnagar office.

Accountant – Role Overview

Key Responsibilities:

• Maintain accurate financial records, including ledgers and journals.
• Manage accounts payable and receivable – process vendor invoices, issue invoices, track payments.
• Perform regular bank and general ledger reconciliations.
• Assist in preparing monthly, quarterly, and annual financial reports.
• Handle daily financial transactions and ensure compliance with accounting standards.

Requirements:

• Bachelor’s degree in Accounting, Finance, or Commerce or CA
• 1–2 years of experience in a similar accounting role.
• Proficiency in tools like Tally ERP 9, QuickBooks, SAP, or Xero.
• Strong skills in Excel (pivot tables, VLOOKUP) and knowledge of Indian taxation laws (GST, TDS, Income Tax).
• Good communication skills in English and Hindi/Marathi.

Location: Ulhasnagar

Apply here https://tinyurl [dot] com/3tz4tkht

About Discovered Labs

At Discovered Labs we work with $10M - $50M ARR companies to help them get more leads, users and customers from Google, Bing and AI assistants such as ChatGPT, Claude and Perplexity.

We approach marketing the way engineers approach systems: data in, insights out, feedback loops everywhere. Every decision traces back to measurable outcomes. Every workflow is designed to eliminate manual bottlenecks and compound over time.

High-level overview of our approach:

Data-driven automation: We treat marketing programs like products. We instrument everything, automate the repetitive, and focus human effort on high-leverage problems.

First principles thinking: We don't copy what others do. We understand the underlying mechanics of how search and AI systems work, then build solutions from that foundation.

Full-stack ownership: SEO and AEO rarely work as isolated tasks. We work across the entire funnel and multiple surface areas to ensure we own the outcome and clients win.

The Agency OS

We're building the first agency OS: a system where the agency's work is the software, enabling clients to gain an unfair advantage.

As Karpathy puts it, Software 3.0 automates what humans can verify. Verifiability, not capability, decides which work can safely be handed over. So every eval we write expands the set of work we can trust an agent with, and the harness isn't overhead around the product, it's what makes the product possible. Dex Horthy covers the operational half: the agents that survive contact with customers are well-engineered software with human judgement placed deliberately, and disciplined loops beat vibes.

What that looks like here: expert orchestrators, not operators. One strategist supervising a fleet of agents running real client workflows at scale, with the system surfacing what genuinely needs a human decision and staying quiet about what doesn't. Feedback loops everywhere. Every correction an expert makes becomes an eval case, and the swarm is better the next cycle.

The Team

You'll join the Automations team at Discovered Labs. We build the agent swarm: a growing fleet of agents and workflows that do real client work end to end, and the engineering that makes them trustworthy enough to let loose on it.

Your mandate is both halves of that. Expand what the swarm can do, and prove that what it does is right. That means applying hardcore engineering to a famously slippery problem: making non-deterministic systems reliable, measurable and provable. Evals that fail a build. Traces that explain a decision. Guardrails that hold when a model doesn't. Agents that know what they don't know and say so.

You'll work alongside the Automations lead, and with our AI & Data team who own the platform and tooling underneath you. You won't be building orchestration from scratch or fighting for infrastructure. It's there, and it's good. Your job is to take it the last mile.

Every agent you make provable is an agent we can put in front of a client. That's the whole game, and the ceiling on how fast this company grows.

We're a deeply technical team building the SpaceX of the AEO & SEO space. You'll work alongside engineers who have built fraud engines powering Stripe, shipped AI code review at CodeRabbit, built at Amazon, developed self-driving car systems at Aurora, and conducted AI research at Stanford. We don't have layers of management. You'll work directly with founders who can go deep on architecture, code, and product.

This Role

You'll join the Automations team, and your job is to productionise what we've built.

We have live 24/7 agents, data pipelines and workflow infrastructure. What you’ll be doing is helping us get the stack running robustly, reliably and at scale.

That means evals that catch regressions before they ship, observability that explains why an agent did what it did, provenance that traces every claim back to its source, and interfaces that let a non-engineer SEO strategist run and review the work. You'll build the harnesses and eval suites that gate agent changes in CI, the lineage and step-trace tooling that makes agent reasoning inspectable, and the surfaces the team actually uses. Then you'll close the loop: instrument the output, feed the signal back, and make the agents measurably better every cycle.

You'll also extend what agents can reach. Today they work over APIs and our own data. Next they operate real websites along withsession handling, and navigating interfaces that were never designed for machines.

The hard problem is reliability and legibility. An agent that's right 80% of the time and can't tell you which 80% is worthless. An agent that's right 95% of the time, shows its working, and flags its own uncertainty is a product.

You report to the CTO and work alongside the Automations lead, with our AI & Data team owning the platform beneath you. You own your evals, your CI, and your monitoring.

What You'll Do

Agent eval harnesses. Golden suites, deterministic checks, and online scoring that gate every agent change in CI. A regression should fail a build, not a client report.

Agent observability. Step traces, token and cost accounting, run-level SLOs, and failure taxonomies. You'll know the difference between "the agent ran" and "the agent was right."

Data lineage and provenance. Every claim an agent makes should be traceable to its source. Which inputs, which tool calls, which reasoning steps produced this output.

End-to-end agents with human review. Agents that complete real work start to finish, with a curated review surface so an expert can approve, correct, or reject, and so that correction becomes training signal.

Interfaces for non-engineers. Dashboards and controls that let the SEO team run, inspect and trust agent work without asking an engineer.

Expanding what agents can do. Agents that open pull requests against real repositories, authenticate through OAuth, and operate real sites and CMSs through the browser. Every new capability is a new class of work the swarm can take on.

Closing the loop. Turn signals we already collect, such as AI perception and citation data, into concrete client value: strategy recommendations, prioritised actions, and measurable outcomes.

Algorithms and scoring models. Not everything should be a prompt. You'll build and tune the scoring systems behind what we recommend: internal linking and semantic relevance scoring, Reddit opportunity and thread scoring, content and citation quality. These are ranking and classification problems with real feedback data behind them, and where a model beats a prompt, you build the model.

Shared, composable modules. Reusable capability blocks that both agents and workflows compose, so an improvement lands everywhere at once instead of being reimplemented per agent.

Scaling across clients. Take a workflow that works for one client and make it run reliably for many, with per-client configuration, isolation, and failure that stays contained.

The Ideal Person for This Role

A builder who ships. You care about getting working systems into production, not endless planning or polish. You've built AI systems people actually rely on.

An operator, not just an architect. You don't just design systems, you run them. You find satisfaction in making things reliable, not just making them work once in a demo.

An owner. You take responsibility for outcomes, not just tasks. When an agent silently produces bad output, you catch it, fix it, and build the eval that stops it recurring.

Maniacal about detail. This is the one that matters most here. AI has made it trivially cheap to produce a large volume of plausible-looking work, and most of that work is slop. We are building the opposite: output that holds up when a client reads it line by line. If you'd rather ship one thing that is provably right than ten that are probably fine, this is your team. If you cannon volume and let the reviewer sort it out, it isn't.

Sceptical of your own output. You assume the model is wrong until measured. You've been burned by a demo that worked and a production run that didn't, and you build accordingly.

Humble and curious. You acknowledge what you don't know, ask good questions, and genuinely want to learn. You take feedback as a gift, not a threat.

A first-principles thinker. You understand why things work, not just how. You can go five levels deep on eval design, prompt architecture, and where to put the human in the loop.

Always improving. You're not satisfied with "good enough." You actively seek ways to get better at your craft and make systems better over time.

Requirements

5+ years in software engineering, with meaningful recent time on LLM-backed or ML-backed production systems, including 2+ owning a production system end to end.

Python, React, Typescript and strong systems fundamentals. You write production services, not notebooks.

LLM application engineering in production. Agents, tool use, structured outputs, retrieval, prompt architecture. You've shipped something real that used them and stayed up.

Evaluation systems. You've built eval suites for non-deterministic systems: golden datasets, regression gates, offline and online scoring. You've thought hard about what "correct" means when there are many correct answers.

Observability for AI systems. Tracing, run inspection, cost and token accounting. Langfuse, LangSmith, Braintrust, OpenTelemetry or equivalent.

Debugging non-determinism. You can diagnose why an agent failed on run 47 of 100 and turn that into a permanent check.

Pipeline orchestration. Airflow, Dagster, Temporal or similar. Retries, idempotency, partial failure, resumption.

Third-party API integration. Auth flows, rate limits, pagination, breaking changes. Not just calling endpoints, but handling the full operational reality.

Own your infrastructure. Containers, CI/CD, deployment, monitoring, credential management. No platform team to hand off to.

Product sense for expert users. You've built tooling that domain experts, not engineers, use daily. You know that an unexplained AI output is an unusable one.

Collaborative. You'll define contracts with the engineers who own the infra beneath you. You document decisions, write clear specs, and communicate tradeoffs in writing.

Preferred Qualifications

• Browser automation or authenticated web agents (Playwright, Puppeteer, computer-use models)
• Applied ML: ranking, scoring, classification, or recommendation systems in production
• Python, React, Typescript
• Terraform, Kubernetes
• Prior experience at a fast-moving startup

What's in It for You

• Fully remote position
• Work directly with the CTO on high-impact projects
• High ownership and autonomy. No micromanagement.
• First-hand exposure to cutting-edge AI and search technology
• Your work will directly impact well-known (10M+ ARR) companies' performance
• Join a fast-growing company at the intersection of AI and marketing

Our Hiring Process

1. Application
2. Technical Deep Dive
3. Reference Checks

Apply here https://tinyurl [dot] com/3tz4tkht

Job Description

Duties And responsibilities

Requirement Gathering & Analysis

·      Work with clients to understand their business processes, goals, and pain points.

·      Conduct workshops to gather functional and technical requirements.

·      Map business requirements to Business Central functionalities.

Solution Design & Customisation

·      Design workflows, processes, and solutions within Business Central to meet client needs.

·      Configure Business Central modules (e.g., logistics, inventory, manufacturing/production).

·      Recommend and design customisations or integrations with third-party tools where needed.

Implementation & Deployment

·      Set up and deploy Business Central in client environments.

·      Migrate data from legacy systems to Business Central.

·      Test configurations and customisations to ensure accuracy and effectiveness.

Training & User Support

·      Provide training to end-users and stakeholders to ensure they are comfortable using the system.

·      Develop documentation and user manuals for reference.

·      Offer post-implementation support and resolve any issues that arise.

Continuous Improvement

·      Identify opportunities for process improvement using Business Central features.

·      Stay updated on Microsoft Dynamics updates and recommend upgrades or new features to clients.

Collaboration with Teams

·      Work closely with developers for custom solutions, integrations, or system extensions.

·      Collaborate with project managers to deliver implementations on time and within budget.

·      Positively contribute to pre-sales engagements, farming work to existing customer.

·      Keep awareness of budgets and aiding the Project Management Team.

·      Aid in improving delivery methodologies across the ERP delivery function.

Required Experience

·      3-8 years’ experience as a MS Business Central Consultant.

·      Ideally full project lifecycle experience as listed in Responsibilities.

·      Business Central Qualification.

·      Understanding of financial and accounting processes – an accounting/finance background will be beneficial.

·      Ideally industry experience in Production/Manufacturing/Logistics.

·      Ability to understand solution architecture of digital transformation projects.

·      Awareness / Experience of other functional areas beneficial.

·      Exceptional verbal and written communication skills.

·      Outstanding interpersonal abilities with a focus on customer service.

·      Client facing at all levels within a business.

·      Critical thinking and problem-solving skills.

·      Self-motivated with a desire and curiosity to learn.

·      Able to work within a team (virtually) or independently.

·      Able to work on multiple projects simultaneously.

·      Leading customer facing workshops and training sessions.

Profiles

Mandatory (Experience 1): Must have 2+ years of experience in Behavioral Research, Consumer Behavior Analysis, Behavioral Science, or Market Research, focusing on understanding user motivations, decision patterns, and digital behavior

Mandatory (Experience 2): Must have hands-on experience conducting primary and secondary research, including qualitative and quantitative research methods such as interviews, ethnographic studies, surveys, behavioral experiments, and observational research

Mandatory (Experience 3) : Experience analyzing user behavior patterns, engagement trends, and digital interaction journeys to generate insights that influence product design, feature development, or platform experience improvements

Mandatory (Experience 4): Must have exposure to data analysis or data mining of user behavior datasets, combining research insights with behavioral data to identify patterns, anomalies, or opportunities for product innovation

Mandatory (Skills 1): Strong understanding of Behavioral Science principles such as Cognitive Bias, Cognitive Dissonance, System 1 & System 2 Thinking, Decision Science, or Consumer Psychology

Mandatory (Skills 2): Experience in testing concepts, prototypes, or product ideas through usability testing, concept validation, or behavioral experimentation to evaluate user response and product effectiveness

Mandatory (Skills 3): Ability to synthesize research findings into actionable insights, hypotheses, and recommendations for Product, Design, or Business teams

Mandatory (Skills 4): Basic understanding of UI/UX and digital product journeys, including how users interact with mobile apps or web platforms, though this is not a design role

Mandatory (Education): Background in Behavioral Science, Psychology, Sociology, Anthropology, Ethnography, Cognitive Science, or related fields (BA/MA/MSc/BSc)

Candidates from institutes with strong behavioral research exposure are preferred

Mandatory (Company): Candidates from B2C consumer product organizations where user behavior is closely tracked and analyzed, such as consumer tech, fintech, e-commerce, or digital platforms

Mandatory (Note 1):This is not a pure UX Researcher or Data Analyst role. The client is looking for Design Thinking–oriented Behavioral Researchers who combine behavioral science, research methodologies, and behavioral data analysis to generate insights

Mandatory (Note)—Profiles without proper prospect question detail will not be considered for further evaluation. Recruiters must connect directly with the candidate before submission.

About the Role 

We’re looking for a Senior Content Marketer to own and execute a strategic, high-impact content function that drives brand awareness, lead generation, and sales enablement.

This role blends storytelling and strategy and is ideal for someone who can craft narratives that turn complex ideas into impactful content.

You’ll lead content across channels, collaborate with cross-functional teams (Product, Sales, Design), and build a content engine that helps our audience discover, understand, and trust Knowmax.

Key Responsibilities 

Content Strategy & Planning � 

· Create and execute a comprehensive content strategy aligned with overall marketing, sales, and brand objectives.

· Create and manage a unified content calendar spanning blogs, newsletters, webinars, LinkedIn, product collateral, release notes, and partner channels.

· Collaborate with cross-functional teams to ensure content reflects key initiatives and customer priorities.

· Ensure all messaging reinforces a strong, customer-first brand narrative and highlights clear market differentiation.

· Regularly measure content performance and use insights to refine strategy.

· Assist Customer Success and Sales teams with email campaigns, product-led content, and event marketing initiatives.

Content Creation & Distribution � 

· Write and edit high-quality long-form content, including blogs, whitepapers, eBooks, and case studies.

· Develop sales enablement materials such as one-pagers, pitch decks, product sheets, and playbooks.

· Partner with the Design team to produce engaging visuals, infographics, and videos that enhance content storytelling.

· Repurpose existing content across formats and channels to extend reach and engagement.

· Manage the brand’s presence across social platforms — especially LinkedIn — to drive thought leadership and engagement.

 What We’re Looking For � 

· Proven experience creating standout content that drives measurable impact.

· Exceptional storytelling skills to make complex or routine topics compelling, human, and easy to understand.

· Strong written and verbal communication skills with an eye for clarity, tone, and consistency.

· Curious and adaptable mindset, open to exploring new formats, tools, and ways to tell better stories (including AI-driven productivity or design tools).

· High level of ownership, discipline, and a bias for execution.

 Preferred Background 

· 3–5 years of experience in B2B SaaS content marketing.

· Experience with SEO, analytics, and brand storytelling.

· Proficiency in tools like GA4, Ahrefs, Figma, Canva, Storylane and content analytics platforms is an advantage.

About Company:

The Organisation transform individuals and teams through holistic, heart-centric and engaging learning experiences that unleash their true potential and help organizations achieve business outcomes. We create customized, strong impact training programs that are conceptualized, designed and delivered by a core team of senior professionals.

Role & Responsibilities:

1. Looking for someone who can think creatively about packaging marketing messages and is passionate about the brand.
2. Experience in a marketing, communications or internal communications role with a marketing mindset is expected.
3. The candidate will handle our communication portfolio, hence good problem solving, writing, administrative and PR skills are a must. Experienced into Lead Generation, Marketing, Advertising, Social Media Marketing, Digital Advertising, Database Generation,B2B Sales.
4. Plan, organize, and implement market survey to obtain data that provides insight to market trends and consumer requirements.
5. Interpret data obtained from market research/survey to produce results useful in taking effective business decisions.
6. Carry out demographic surveys to identify potential customers.
7. Contact potential customers through emails, calls, and home visits to create product/service awareness.
8. Employ knowledge of company goals in carrying out marketing operations.

Senior Software Developer will be responsible for the design, development, and implementation of software applications using primarily Microsoft technologies, such as .NET. The candidate will work as part of a software development team.

Technical Skill:

1. Excellent knowledge of Vb.Net, C#, .Net 3.0/4.0/4.5, ASP.Net, ADO.Net

2. Experience in developing web applications and web services in Microsoft Visual Studio

3. Good proficiency in CSS, HTML, AJAX, XML and Java Script

4. Experience in developing T-SQL queries, Stored Procedures, Triggers using SQL Server 2008/2012

Requirement:

Extensive experience in all stages of SDLC with strong coding, debugging and analytical skills.

Good communication and interpersonal skills.

Sound analytical and grasping skills to understand business/functional requirements.

Ability to work independently on assigned tasks and with peers and stakeholders.

Experience: Minimum 3+ years of relevant experience in Dot Net.

Q2 is seeking a team-focused Lead Release Engineer with a passion for managing releases to ensure we release quality software developed using Agile Scrum methodology.  Working within the Development team, the Release Manager will work in a fast-paced environment with Development, Test Engineering, IT, Product Management, Design, Implementations, Support and other internal teams to drive efficiencies, transparency, quality and predictability in our software delivery pipeline.

RESPONSIBILITIES:

• Provide leadership on cross-functional development focused software release process.
• Management of the product release cycle to new and existing clients including the build release process and any hotfix releases
• Support end-to-end process for production issue resolution including impact analysis of the issue, identifying the client impacts, tracking the fix through dev/testing and deploying the fix in various production branches.
• Work with engineering team to understand impacts of branches and code merges.
• Identify, communicate, and mitigate release delivery risks.
• Measure and monitor progress to ensure product features are delivered on time.
• Lead recurring release reporting/status meetings to include discussion around release scope, risks and challenges.
• Responsible for planning, monitoring, executing, and implementing the software release strategy.
• Establish completeness criteria for release of successfully tested software component and their dependencies to gate the delivery of releases to Implementation groups
• Serve as a liaison between business units to guarantee smooth and timely delivery of software packages to our Implementations and Support teams
• Create and analyze operational trends and data used for decision making, root cause analysis and performance measurement.
• Build partnerships, work collaboratively, and communicate effectively to achieve shared objectives.
• Make Improvements to processes to improve the experience and delivery for internal and external customers.
• Responsible for ensuring that all security, availability, confidentiality and privacy policies and controls are adhered to.

EXPERIENCE AND KNOWLEDGE:

• Bachelor’s degree in Computer Science, or related field or equivalent experience.
• Minimum 4 years related experience in product release management role.
• Excellent understanding of software delivery lifecycle.
• Technical Background with experience in common Scrum and Agile practices preferred.
• Deep knowledge of software development processes, CI/CD pipelines and Agile Methodology
• Experience with tools like Jenkins, Bitbucket, Jira and Confluence.
• Familiarity with enterprise software deployment architecture and methodologies.
• Proven ability in building effective partnership with diverse groups in multiple locations/environments 
• Ability to convey technical concepts to business-oriented teams.
• Capable of assessing and communicating risks and mitigations while managing ambiguity.
• Experience managing customer and internal expectations while understanding the organizational and customer impact.
• Strong organizational, process, leadership, and collaboration skills.
• Strong verbal, written, and interpersonal skills.

Organisation is looking for a thoughtful, talented, and mission-driven frontend engineer to join our growing team, shape our product.

• Job Title:- Backend Developer and Sr. Backend Developer
• Location:- Motera, Ahmedabad
• Industry : eCommerce
• Type:- Product base Firm
• Trusted by 5500+ Clients
• Work Experience:- Should have at least 2 years of experience in working over custom apps apps
• Education:- B.E/B.Tech (10+2)
• Opening:- 02 (One position for strong knowledge for mentioned technology, one for medium)

Skills And Qualifications:-

• Strong knowledge ofPHP web frameworks (Laravel).
• Understanding the fully synchronous behavior of PHP
• Understanding ofMVC design patterns
• Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3
• Knowledge of object-oriented PHP programming
• Understanding accessibility and security compliance
• Strong knowledge of the common PHP or web server exploits and their solutions
• Understanding fundamental design principles behind a scalable application
• Familiarity with limitations of PHP as a platform and its workarounds
• Familiarity with SQL/NoSQL databases and their declarative query languages
• Proficient understanding of code versioning tools, such as Git